System

Abstract

To provide a system capable of providing convenient and highly reliable purchase service to a consumer.SOLUTION: The method includes the steps of: inputting commodity information of a brand-name product, a precious metal, a watch, or the like by a user using a portable information terminal and uploading a photograph; transmitting the commodity information and photograph data from the portable information terminal to a server; calculating an appraisal value of the commodity by the server using artificial intelligence based on huge market data; returning the appraisal result to the portable information terminal by the server and displaying the appraisal result on the portable information terminal by the server; starting a shipping procedure of the commodity when the user accepts the appraisal value; confirming arrival of the commodity by the server; inspecting a state of the commodity by the server; and transmitting the inspection result as electronic money to the user by the server.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Consumers need a convenient and reliable way to accurately appraise and quickly sell their unwanted, expensive items from the comfort of their own home. However, conventional methods require the hassle of going to an appraisal center and create uncertainty about whether the appraised price is reasonable. Furthermore, there are problems with the time it takes to ship the items after agreeing to the appraised price and to receive the selling price. This invention aims to solve these problems and provide consumers with a convenient and reliable purchasing service. [Means for solving the problem]

[0005] This invention solves the above problems by providing the following means: A means is provided for a user to use a mobile information terminal to input product information and upload photos of brand-name goods, precious metals, watches, etc., and a means for transmitting the product information and photo data from the mobile information terminal to a server. The server has a means for calculating an appraised price for the product using artificial intelligence based on a huge amount of market data, returning the appraisal result to the mobile information terminal, and displaying it to the user. If the user accepts the appraised price, a means is provided for initiating the product shipping procedure, and the server confirms the arrival of the product and inspects its condition. By providing a system that includes a means for transferring the appraised amount to the user in electronic money based on the inspection results, it is possible to provide consumers with fast and appropriate service while minimizing labor costs.

[0006] "User" refers to an individual or corporation that uses the system to input product information and request an appraisal.

[0007] "Mobile information terminal" refers to electronic devices that users can carry around, such as smartphones and tablets.

[0008] "Branded goods" refers to luxury products manufactured and sold by famous brands, including clothing, accessories, bags, etc.

[0009] "Precious metals" refers to expensive metals such as gold, silver, and platinum, as well as products made from these metals.

[0010] "Watch" means an instrument designed to show time, especially a luxury watch.

[0011] "Product information" refers to detailed information such as the brand name, model name, purchase date, and condition of the product you wish to sell.

[0012] "Photo data" refers to an image file of an item that a user wishes to sell.

[0013] A "server" refers to a computer system that processes, stores, and manages data over a network.

[0014] "Artificial intelligence" is a technology that allows computers to imitate human intellectual tasks, and in this invention it is used to calculate appraisal prices.

[0015] "Appraised price" refers to the price based on the market value of the product calculated by artificial intelligence.

[0016] "Appraisal results" refers to data including the appraisal price calculated by artificial intelligence and related information.

[0017] "Shipping procedure" refers to the series of steps required for a user to send an item to the warehouse.

[0018] "Arrival of product" refers to the product sent by the user arriving at the warehouse managed by the server.

[0019] "Inspection" refers to the process of checking whether the condition of the delivered product matches the information declared by the user.

[0020] "Electronic money" is a digital currency that can be traded over the Internet, and is used in this invention to transfer the assessed amount to the user. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6]FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0023] First, the terms used in the following description will be explained.

[0024] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0025] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0026] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0027] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0028] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0033] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0036] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0039] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] To put this invention into practice, a system is constructed that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraised price. Specific embodiments of the system are described below.

[0043] System Configuration

[0044] This system consists of the following elements:

[0045] 1. User Interface (UI)

[0046] An application that allows users to enter product information and upload photos. This is an app that runs on a mobile information terminal.

[0047] 2. Data transmission and reception module

[0048] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[0049] 3. Server

[0050] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and photo data.

[0051] 4. Artificial Intelligence (AI) Appraisal Engine

[0052] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[0053] 5. Electronic Money Transfer System

[0054] A system that transfers the amount in electronic money to users who accept the assessed price.

[0055] Program processing

[0056] Data entry and submission

[0057] The user uses the device

[0058] Users launch the app, enter information about the item they wish to sell, and then take and upload a photo. They are prompted to enter details such as the product's brand, model, purchase date, and usage status. Once the information is entered and the photo is uploaded, the user presses the "Submit" button, which sends the item information and photo to the server.

[0059] Data reception and AI assessment

[0060] The server receives the data

[0061] The server receives the product information and photo data sent by the user, checks the integrity and format of the data, and converts it into the appropriate format.

[0062] AI performs the assessment

[0063] The AI ​​appraisal engine analyzes product information and photo data, and retrieves related information from a market database, taking into account the product's popularity, deterioration, market demand, and other factors to calculate a fair appraisal price.

[0064] Sending assessment results

[0065] The server sends the calculated appraisal price and detailed information based on the appraisal to the mobile information terminal, where the user can check the appraisal results.

[0066] Approval of the estimated price and shipping procedures

[0067] User checks the estimated price

[0068] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[0069] Shipping Procedures

[0070] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[0071] Arrival of goods, inspection, and remittance

[0072] The server confirms the arrival of the product

[0073] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[0074] Remittance procedure

[0075] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0076] Specific examples

[0077] Example: When a user sells a designer bag

[0078] 1. User enters product information and uploads photos

[0079] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[0080] 2. The server performs AI assessment

[0081] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[0082] 3. The user accepts the estimated price and completes the shipping procedure.

[0083] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[0084] 4. The server receives the product and inspects it.

[0085] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[0086] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[0087] The processing flow will be explained below.

[0088] Step 1:

[0089] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[0090] Step 2:

[0091] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[0092] Step 3:

[0093] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[0094] Step 4:

[0095] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[0096] Step 5:

[0097] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[0098] Step 6:

[0099] The user confirms the proposed estimated price. If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[0100] Step 7:

[0101] The server receives the user's approval, generates a delivery label and shipping instructions, and provides them to the user. The user then prints the delivery label, packs the product, and hands it over to the delivery company.

[0102] Step 8:

[0103] The server receives notification of the arrival of the product, and the arrival information is recorded in the database.

[0104] Step 9:

[0105] The server uses an AI management system to inspect the product and confirm that the condition of the product is as declared by the user.

[0106] Step 10:

[0107] If the inspection results are satisfactory, the server initiates the remittance procedure, and the assessed price is sent to the user as electronic money via the remittance system.

[0108] Step 11:

[0109] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[0110] Example 1

[0111] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0112] In the past, when users wanted to sell unwanted products, they had to bring them to an appraiser's store, which was time-consuming and laborious. Furthermore, manual appraisals tend to be subjective, making it difficult to calculate a fair price. The purpose of this invention is to solve these problems and provide a system that allows users to sell products quickly and at a fair price.

[0113] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0114] In this invention, the server includes means for a user to input product information and upload images using a mobile communications terminal, means for transmitting product information and image data from the mobile communications terminal to the server, means for the server to calculate an estimated price of the product using artificial intelligence based on market data, means for the server to return the estimation result to the mobile communications terminal and for the mobile communications terminal to display the estimation result to the user, means for starting the delivery procedure for the product if the user agrees with the estimated price, means for the server to confirm the arrival of the product and inspect the condition of the product, and means for the server to remit the estimated amount to the user in electronic money based on the inspection results. This allows the user to easily and quickly complete the process from product appraisal to sale using their mobile communications terminal and receive a fair estimated price.

[0115] "User" refers to an individual or corporation that utilizes the system of the present invention to request an appraisal and sell a product.

[0116] "Mobile communication terminal" refers to a portable information processing device that can connect to the Internet, such as a smartphone, tablet, or laptop computer.

[0117] "Product information" refers to attribute information necessary to identify a product, such as the product's brand name, category, model, purchase date, and usage status.

[0118] "Images" refers to photographic data that records the current state of the product, including the overall view of the product and details of specific parts.

[0119] "Server" refers to a central system for receiving and processing data from mobile communication terminals via the Internet.

[0120] "Market Data" refers to the collection of data necessary for assessing the price of a product, such as past transaction history, current market prices, and trends in supply and demand.

[0121] "Artificial intelligence" refers to algorithms and systems that use machine learning and data analysis techniques to automatically calculate the estimated price of a product.

[0122] "Evaluated price" refers to the fair selling price of the product calculated by artificial intelligence based on market data.

[0123] "Evaluation results" refers to the evaluated price and the analysis results and reference information used to arrive at that price.

[0124] "Shipping procedure" refers to the preparation and work to send the product to the server's designated location after the user agrees to the evaluation price.

[0125] "Inspection" refers to the process by which the server checks to ensure that the product received matches the user's declaration.

[0126] "Electronic money" refers to a digital currency or payment system for conducting transactions over the Internet.

[0127] MODE FOR CARRYING OUT THE INVENTION

[0128] This invention is a system that allows users to input product information and upload images using a mobile communication terminal, and calculates the appraisal price of the product using artificial intelligence based on a huge amount of market data. Specific embodiments of this invention are described below.

[0129] System Configuration

[0130] This system consists of the following elements:

[0131] 1. User Interface (UI)

[0132] An application that allows users to enter product information and upload images. This is an app that runs on a mobile device.

[0133] For example: dedicated applications for smartphones and tablets.

[0134] 2. Data transmission and reception module

[0135] A module for transmitting product information and image data from a mobile communication terminal to a server and receiving appraisal results.

[0136] Example: Data communication function using the HTTPS protocol.

[0137] 3. Server

[0138] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and image data.

[0139] Examples: Cloud servers using AWS servers or Google Cloud Platform.

[0140] 4. Artificial Intelligence (AI) Appraisal Engine

[0141] An AI engine built into the server calculates the product's appraisal price based on a huge amount of market data.

[0142] Example: Machine learning models using TensorFlow or PyTorch.

[0143] 5. Electronic Money Transfer System

[0144] A system that transfers the amount in electronic money to users who accept the assessed price.

[0145] Examples: Electronic money transfer services such as PayPal and Stripe.

[0146] Program processing

[0147] The program of this system performs the following processing.

[0148] Data entry and submission

[0149] The user uses the device

[0150] Users launch the app, enter information about the product they wish to sell, and take and upload a photo. For example, users can enter information such as the brand name, model, purchase date, and usage status, and then take a photo of the product and upload it to the app.

[0151] Data reception and AI assessment

[0152] The server receives the data

[0153] The server receives the product information and image data sent by the user and checks the consistency and format of each piece of data.

[0154] AI performs the assessment

[0155] The AI ​​appraisal engine analyzes product information and image data, and retrieves relevant information from a market database, taking into account the product's popularity, deterioration status, market demand, and other factors to calculate an appropriate appraisal price.

[0156] Sending assessment results

[0157] The calculated appraisal price and detailed information are sent from the server to the mobile communication terminal, where the user can check the appraisal results on the terminal.

[0158] Approval of the estimated price and shipping procedures

[0159] User checks the estimated price

[0160] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[0161] Shipping Procedures

[0162] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[0163] Arrival of goods, inspection, and remittance

[0164] The server confirms the arrival of the product

[0165] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it.

[0166] Remittance procedure

[0167] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0168] Prompt Sentence Examples

[0169] "I'd like to sell a designer bag. Please enter the following information: brand name, model, purchase date, and usage status, and upload a photo. Please explain the necessary procedures based on the appraisal results."

[0170] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[0171] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0172] Step 1: User launches the app, enters product information, takes a photo, and uploads it

[0173] Users launch a dedicated app on their mobile communication device (smartphone or tablet). The app's interface is intuitive and designed to be easy for users to use. Users enter participation information (e.g., brand name, model, purchase date, usage status), take a photo of the product using the device's camera, and upload it. The data entered here consists of text information and image data.

[0174] Input: Brand name, model, purchase date, usage, and product photo

[0175] Output: The entered product information and photos are saved in the app.

[0176] Step 2: The device sends product information and photo data to the server

[0177] When the user presses the "Send" button, the device sends the entered product information and photo data to the server. The data is sent using a secure communication protocol (e.g., HTTPS). The device checks the accuracy of the data and monitors its path to the server.

[0178] Input: Product information and photos stored in the app

[0179] Output: Product information and photo data sent to the server

[0180] Step 3: The server receives the product information and photo data and checks the integrity and format.

[0181] The server receives the product information and photo data sent by the user, then checks the data for consistency and formatting, for example, whether the photo resolution and information format meet the standards.

[0182] Input: Product information and photo data sent to the server

[0183] Output: Integrity-checked, well-formed data

[0184] Step 4: The server launches the AI ​​appraisal engine and analyzes the product information and photo data.

[0185] The server's artificial intelligence (AI) appraisal engine analyzes product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an appraisal price based on factors such as the product's popularity, deterioration status, and market demand. Machine learning models (e.g., using TensorFlow or PyTorch) are used here.

[0186] Input: Integrity-checked, correctly formatted data

[0187] Output: Calculated valuation price and detailed information based on the valuation

[0188] Step 5: The server sends the assessment results to the terminal, and the terminal displays the assessment results to the user.

[0189] The server sends the calculated valuation price and detailed valuation information to the user's device. The device receives this and displays the valuation results to the user. The display includes the price, the analysis results leading up to the price, and reference information.

[0190] Input: Calculated valuation price and detailed valuation information

[0191] Output: Assessment results and detailed information displayed on the terminal

[0192] Step 6: The user confirms the estimated price and selects "Accept" or "Request a re-evaluation"

[0193] The user checks the proposed estimated price and detailed information, and selects "Accept" or "Request re-evaluation." If the user approves the estimated price, he or she presses the "Accept" button. This information is sent to the server.

[0194] Input: Assessment results displayed on the terminal and user selection

[0195] Output: The user's choice (approval or reassessment request) is sent to the server.

[0196] Step 7: The server receives the authorization and provides the user with shipping instructions and a delivery label.

[0197] The server receives the approval information and provides the user with a delivery label and shipping instructions, which the user uses to package the product and send it via a delivery company to a warehouse designated by the server.

[0198] Input: User consent information

[0199] Output: Delivery label and shipping instructions to the user

[0200] Step 8: The server confirms the arrival of the product and inspects it.

[0201] The server's AI management system confirms the arrival of the product. After it arrives, the AI ​​system inspects the product and verifies that it is in the condition as reported by the user. For example, it automatically checks for scratches, discoloration, etc.

[0202] Input: Arrived product

[0203] Output: Inspection results

[0204] Step 9: The server transfers the assessed amount to the user as electronic money based on the inspection results.

[0205] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0206] Input: Inspection results

[0207] Output: The assessed amount transferred to the user's e-money account.

[0208] In this way, the system allows users to easily and quickly value and sell products through a series of processing steps.

[0209] (Application example 1)

[0210] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0211] In the past, selling unwanted products required a great deal of time and effort. For example, it was necessary to accurately record product information and repeatedly request expert estimates to obtain a fair appraisal price. Furthermore, after agreeing to the appraisal price, the process required shipping, product arrival, and inspection before finally receiving the sales proceeds, making for a very cumbersome process. Furthermore, in brick-and-mortar stores, if the staff did not have specialized knowledge of appraisals, the appraisal process took a long time, resulting in reduced efficiency.

[0212] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0213] In this invention, the server includes a means for a user to input product information and upload photos using a mobile information terminal, a means for transmitting product information and photo data from the mobile information terminal to the server, a means for the server to calculate an appraised price of the product using artificial intelligence based on a large amount of market data, and a means for the server to return the appraisal result to the mobile information terminal, which then displays the appraisal result to the user. This allows users to easily input product information and quickly obtain a fair appraised price. Furthermore, by having store staff and users cooperate to input product information, have an appraisal conducted on the spot, and immediately conclude a purchase contract if satisfied, the appraisal process in physical stores is made more efficient, enabling quick and accurate appraisals.

[0214] A "personal digital assistant" is an electronic device that a user can carry with them, and is a device that allows the user to input product information and upload photos.

[0215] "Product information" is detailed information about the product you wish to sell, including the brand name, model name, purchase date, condition, and so on.

[0216] "Photo data" refers to image data of a product that a user has taken a photo of using a mobile information terminal and uploaded.

[0217] "Server" means a central computing unit that transmits and receives data over the Internet and performs the calculations to calculate the assessed value of a product.

[0218] "Market Data" means information about past and current market trends and price movements, and is data necessary to calculate the assessed price of a product.

[0219] "Artificial intelligence" refers to algorithms and programs that use machine learning and data analysis techniques to calculate the optimal appraisal price based on product information.

[0220] The "assessed price" is the amount calculated based on the current market value of the product, and is the selling price offered to the user.

[0221] A "physical store" is a type of retail business that exists in a physical location and where customers can visit to purchase or appraise products.

[0222] A "purchase agreement" is a legal contract between a user and a store agreeing to sell a product based on an assessed price.

[0223] "Inspection results" are data showing the results of the server checking the condition of the product upon arrival and confirming whether it is as declared by the user.

[0224] "Electronic money" is currency stored in digital form and can be used for online or mobile payments.

[0225] This invention is a system that allows users to quickly appraise and sell unwanted brand-name goods, precious metals, watches, and other items using their personal mobile information terminals. This system is composed of the following elements:

[0226] 1. User Interface (UI)

[0227] Users enter product information through a dedicated application, take and upload photos of the product, and enter detailed information such as the brand name, model name, purchase date, and product condition.

[0228] 2. Data transmission and reception module

[0229] Product information and photo data are sent from the mobile information terminal to the server, and the appraisal results are received. This module communicates over the Internet using the HTTP protocol.

[0230] 3. Server

[0231] The server analyzes the received data and uses artificial intelligence to calculate the product's estimated price based on a vast amount of market data. This server includes multiple databases and AI engines (such as TensorFlow and PyTorch).

[0232] 4. Artificial Intelligence (AI) Appraisal Engine

[0233] The AI ​​engine built into the server calculates an appraisal price based on product information and photo data, taking into account past transaction data and market trends. This is done using a generative AI model.

[0234] 5. Notification of assessment results

[0235] The server returns the calculated valuation price and valuation details to the mobile information terminal, where the user can check the valuation results on their own terminal.

[0236] 6. Approval of the estimated price and shipping procedures

[0237] Once the user accepts the proposed valuation price, they can begin the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user packs the item and ships it to the specified warehouse.

[0238] 7. Arrival of goods, inspection, and remittance

[0239] The server confirms that the sent item has arrived and inspects the condition of the item. If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[0240] For example, if a user wants to sell a designer bag, the following steps are taken:

[0241] 1. The user launches the app, enters product information (brand name, model name, purchase date, condition), and takes and uploads a photo of the bag.

[0242] 2. The server analyzes the received information, and the AI ​​calculates the valuation price based on a huge amount of market data. For example, an valuation price of 25,000 yen is calculated instantly.

[0243] 3. The user checks the appraisal results and, if they agree with the price, packs the item and ships it to the designated warehouse.

[0244] 4. The product arrives at the warehouse, its condition is inspected, and if there are no problems, the server transfers 25,000 yen to the user in electronic money.

[0245] Example prompt sentence:

[0246] I would like to have my designer bag appraised. Brand: Louis Vuitton, Model: Neverfull GM, Purchase Date: 2021-03-15, Condition: Good. Please calculate the estimated price based on this information.

[0247] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0248] Step 1:

[0249] User interface data entry and photography

[0250] The user launches the app on their mobile information terminal and enters information about the item they want to sell (brand name, model name, purchase date, condition, etc.). They also take a photo of the item using the camera function of their mobile information terminal and upload it. The entered data and photo are sent to the server in the next step.

[0251] Input: Product information, photo data

[0252] Output: User entered information and uploaded photo

[0253] Step 2:

[0254] Data transmission

[0255] The mobile information terminal sends the input product information and photo data to the server. Data transmission is usually performed via the HTTP protocol.

[0256] Input: Product information, photo data

[0257] Output: Data is sent to the server correctly

[0258] Step 3:

[0259] Data reception and integrity check

[0260] The server receives the product information and photo data sent by the user, checks the integrity and format of the received data, and proceeds to the next step after confirming that the data has been received in the correct format.

[0261] Input: Product information, photo data

[0262] Output: Data with integrity checked

[0263] Step 4:

[0264] AI-based appraisal price calculation

[0265] An AI engine built into the server calculates the valuation price based on product information and photo data. This AI engine takes into account past transaction data and market trends to calculate the appropriate valuation price for the product. For example, a generative AI model can be used to reference prices of similar products from market data and analyze the condition of the product.

[0266] Input: Product information, photo data, past transaction data, market trend data

[0267] Output: Calculated valuation price

[0268] Step 5:

[0269] Return of assessment results

[0270] The server returns the calculated appraisal price and detailed information to the mobile information terminal, where the user can check the appraisal results on their own terminal.

[0271] Input: Estimated price, details

[0272] Output: The assessment results are displayed on the user's mobile device.

[0273] Step 6:

[0274] Approval of the estimated price and shipping procedures

[0275] If the user accepts the proposed bid, they initiate the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user then properly packages the item and ships it to the designated warehouse.

[0276] Input: Approval information for the assessed price

[0277] Output: Shipping instructions, delivery label

[0278] Step 7:

[0279] Checking and inspecting the arrival of goods

[0280] The server confirms that the delivered product has arrived at the warehouse and inspects the product condition. It verifies that the product condition is as declared by the user, and if there are no problems, it proceeds to the next step.

[0281] Input: Incoming goods, declared information

[0282] Output: Inspection results

[0283] Step 8:

[0284] Remittance procedure

[0285] If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[0286] Input: Final approval based on inspection

[0287] Output: The transferred amount is reflected in the user's account.

[0288] This series of steps allows users to efficiently appraise unwanted items and quickly sell them.

[0289] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0290] To put this invention into practice, it is necessary to build a system that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraisal price, while also combining the system with a function that recognizes the user's emotions and responds based on their reactions. A specific embodiment of the system is described below.

[0291] System Configuration

[0292] This system consists of the following elements:

[0293] 1. User Interface (UI)

[0294] An application that allows users to enter product information and upload photos. This application runs on a mobile information device.

[0295] 2. Data transmission and reception module

[0296] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[0297] 3. Server

[0298] A server containing multiple databases, an AI engine, and an emotion engine, which allows the system to quickly calculate a fair appraisal price based on product information and photo data, and analyzes user emotions to provide appropriate feedback.

[0299] 4. Artificial Intelligence (AI) Appraisal Engine

[0300] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[0301] 5. Emotion Engine

[0302] An emotion engine built into the server analyzes the user's emotional response to the assessment results and provides appropriate feedback and additional information.

[0303] 6. Electronic Money Transfer System

[0304] A system for transferring the amount in electronic money to users who have accepted the assessed price.

[0305] Program processing

[0306] Data entry and submission

[0307] The user uses the device

[0308] The user launches the app, enters information about the item they wish to sell, and then takes and uploads a photo. The information includes the brand name, model name, purchase date, condition, etc. Once the user has completed entering information and uploading the photo, they press the "Send" button to send the data from their device to the server.

[0309] Data reception and AI assessment

[0310] The server receives the data

[0311] The server receives the product information and photo data sent by the user, and then converts the data into a format suitable for analysis.

[0312] AI performs the assessment

[0313] The AI ​​engine uses product information and photo data to refer to a market database, taking into account information such as the product brand, model, condition, and market demand, and calculates an appraisal price.

[0314] Emotion Engine Analysis

[0315] The emotion engine analyzes the user's emotions regarding the assessment results from facial expressions and tone of voice, and determines whether the user is satisfied or dissatisfied.

[0316] Notification of assessment results and feedback

[0317] Sending assessment results

[0318] The calculated valuation price and detailed information are sent from the server to the mobile information terminal and displayed to the user. Depending on the user's emotions, appropriate feedback and additional information are displayed.

[0319] User Reactions

[0320] The user confirms the proposed valuation price, and the emotion engine further analyzes the user's reaction. For example, if the user is determined to be dissatisfied with the valuation price, the server can automatically provide additional valuation information or valuation results for similar products.

[0321] Approval of the estimated price and shipping procedures

[0322] User checks the estimated price

[0323] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[0324] Shipping Procedures

[0325] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[0326] Arrival of goods, inspection, and remittance

[0327] The server confirms the arrival of the product

[0328] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[0329] Remittance procedure

[0330] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0331] Specific examples

[0332] Example: When a user sells a designer bag

[0333] 1. User enters product information and uploads photos

[0334] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[0335] 2. The server performs AI assessment

[0336] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[0337] 3. Emotion engine analyzes user emotions

[0338] The server analyzes the user's feelings about the offered appraisal price, and if it determines that the user is dissatisfied, it provides feedback by presenting additional appraisal information and the purchasing experiences of other users.

[0339] 4. The user accepts the estimated price and completes the shipping procedure.

[0340] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[0341] 5. The server receives the product and inspects it.

[0342] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[0343] This allows the system to efficiently and quickly purchase users' unwanted items at a fair price, and provide feedback based on the user's emotions to improve the selling experience.

[0344] The processing flow will be explained below.

[0345] Step 1:

[0346] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[0347] Step 2:

[0348] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[0349] Step 3:

[0350] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[0351] Step 4:

[0352] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[0353] Step 5:

[0354] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[0355] Step 6:

[0356] The emotion engine analyzes the facial expressions and tone of voice of the user confirming the assessment results to recognize the user's emotions. The recognition results are classified into emotion categories such as "satisfied" and "dissatisfied."

[0357] Step 7:

[0358] The user confirms the quoted price, and the emotion engine further analyzes the user's reaction. For example, if the user expresses dissatisfaction with the quoted price, the server automatically provides the user with additional valuation information or valuation results for similar products.

[0359] Step 8:

[0360] If the user is satisfied with the estimated price, he or she presses the "Accept" button. The approval information is sent from the terminal to the server, and the server records the user's approval.

[0361] Step 9:

[0362] The server receives the approval information, generates a delivery label and shipping instructions, and provides them to the user. The user prints the delivery label, packages the product, and hands it over to the delivery company.

[0363] Step 10:

[0364] The server receives notification of the arrival of the goods and records the arrival information in the database, while the AI ​​management system simultaneously inspects the condition of the goods.

[0365] Step 11:

[0366] If the server finds no problems based on the inspection results, it starts the remittance procedure and remits the assessed price to the user as electronic money through the remittance system.

[0367] Step 12:

[0368] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[0369] Example 2

[0370] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0371] Previous systems for buying unwanted items had problems such as not being able to calculate the appraisal price of the item quickly enough, not providing feedback that took the user's feelings into consideration, and not being able to speed up the remittance process. These problems led to lower user satisfaction and a loss of system usability.

[0372] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving and analyzing product information and photo data, a means for calculating the assessed price of the product using artificial intelligence based on a huge amount of market data, and a means for analyzing the user's emotions. This makes it possible to quickly and accurately calculate the assessed price and provide feedback that takes the user's emotions into consideration.

[0373] A "personal digital assistant" is a device that can be carried by a user, can connect to the Internet, and has the function of executing applications.

[0374] "Product information" refers to all data related to a product, and specifically includes attribute information such as the brand name, model name, purchase date, and condition.

[0375] "Photo data" refers to an image file that visually shows the appearance of a product, and is taken using a terminal and uploaded to a server.

[0376] A "server" is a computer system that provides services over a network and has functions such as receiving, analyzing, storing, and transmitting data.

[0377] "Artificial intelligence" is a technology that simulates human-like intelligent behavior on a computer, and specifically includes algorithms that perform data analysis, prediction, classification, etc.

[0378] "Market Data" includes past and current trading information, price trends, supply and demand conditions, and other data used in valuing products.

[0379] The "assessed price" is a value obtained by evaluating the market value of the product and expressing it as a monetary amount, and is presented to the user.

[0380] "Emotion analysis" is the process of determining a user's psychological state from facial expressions, tone of voice, text data, etc., and assessing the user's satisfaction or dissatisfaction.

[0381] "Feedback" refers to reply information or advice provided to a user, and is generated based on the results of assessment and sentiment analysis.

[0382] The "shipping procedure" refers to a series of tasks required for sending the item that the user has approved for appraisal to a specified location, including generating a delivery label, packaging the item, and issuing shipping instructions.

[0383] "Inspection" is the process in which the server checks the condition of the product received, comparing the user's declaration with the actual condition of the product.

[0384] "Electronic money" refers to currency managed in digital form, which is sent and received through a network.

[0385] To put this invention into practice, we need to build a system that allows users to use their mobile information terminals to request appraisals for unwanted products (branded goods, precious metals, watches, etc.), receive a fair appraisal price, and quickly sell them. It is also necessary to combine this with a function that recognizes the user's emotions and provides feedback based on their reactions.

[0386] System Configuration

[0387] This system consists of the following elements:

[0388] 1. User Interface (UI)

[0389] An application that allows users to enter product information and upload photos. This application runs on a mobile information device.

[0390] 2. Data transmission and reception module

[0391] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[0392] 3. Server

[0393] A computer system that includes multiple databases, an AI engine, and an emotion engine. It quickly calculates a fair appraisal price based on product information and photo data, and analyzes user emotions to provide appropriate feedback.

[0394] 4. Artificial Intelligence (AI) Appraisal Engine

[0395] The AI ​​engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[0396] 5. Emotion Engine

[0397] An emotion engine built into the server analyzes the user's emotional response to the assessment results and provides appropriate feedback and additional information.

[0398] 6. Electronic Money Transfer System

[0399] A system for transferring the amount in electronic money to users who have accepted the assessed price.

[0400] Data entry and submission

[0401] The user uses the device

[0402] The user launches the dedicated application, enters information about the item they wish to sell, and takes and uploads a photo. The information entered includes the brand name, model name, purchase date, condition, etc. Once the information has been entered and the photo uploaded, the user presses the "Send" button to send the data from their device to the server.

[0403] Data reception and AI assessment

[0404] The server receives the data

[0405] The server receives the product information and photo data sent by the user, and then converts the data into a format that is easy to analyze.

[0406] AI performs the assessment

[0407] The AI ​​engine uses product information and photo data to refer to a market database, taking into account information such as the product brand, model, condition, and market demand, and calculates an appraisal price.

[0408] Emotion Engine Analysis

[0409] The emotion engine analyzes the user's emotions regarding the assessment results and determines whether the user is satisfied or dissatisfied.

[0410] Notification of assessment results and feedback

[0411] Sending assessment results

[0412] The calculated valuation price and detailed information are sent from the server to the mobile information terminal and displayed to the user. Depending on the user's emotions, appropriate feedback and additional information are displayed.

[0413] User Reactions

[0414] The user confirms the proposed valuation price, and the emotion engine further analyzes the user's reaction. For example, if the user is determined to be dissatisfied with the valuation price, the server can automatically provide additional valuation information or valuation results for similar products.

[0415] Approval of the estimated price and shipping procedures

[0416] User checks the estimated price

[0417] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[0418] Shipping Procedures

[0419] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[0420] Arrival of goods, inspection, and remittance

[0421] The server confirms the arrival of the product

[0422] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[0423] Remittance procedure

[0424] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0425] Specific examples

[0426] Example: When a user sells a designer bag

[0427] 1. User enters product information and uploads photos

[0428] The user starts the app on their mobile device and inputs the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[0429] 2. The server performs AI assessment

[0430] The server receives the information, and the AI ​​instantly calculates an estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[0431] 3. Emotion engine analyzes user emotions

[0432] The server analyzes the user's feelings about the offered appraisal price, and if it determines that the user is dissatisfied, it provides feedback by presenting additional appraisal information and the purchasing experiences of other users.

[0433] 4. The user accepts the estimated price and completes the shipping procedure.

[0434] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the item is packed and shipped via a courier.

[0435] 5. The server receives the product and inspects it.

[0436] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[0437] In this way, the system can buy back unwanted items quickly and at a fair price, and provide feedback based on the user's responses to improve the selling experience.

[0438] Prompt Sentence Examples

[0439] Below is an example of a prompt sentence to input to the generative AI model.

[0440] Enter product information: Enter the following information into the smartphone app: "Brand bag," "Model name," "Purchase date," and "Whether there are any scratches or fading."

[0441] Photo Upload: Take and upload a photo of the entire bag, including the front, bottom, and inside.

[0442] AI appraisal: The server's AI calculates the appraisal price based on the product information and photos, and returns the appraisal result to the mobile information terminal. The appraisal price is "25,000 yen."

[0443] Sentiment analysis: The server's emotion engine analyzes the user's sentiment regarding the valuation price. If the user is dissatisfied, the server provides additional valuation information and offers suggestions.

[0444] Shipping procedure: The user accepts the estimated price, follows instructions from the server to pack the item, and hands it over to the delivery company.

[0445] Product inspection: After the product arrives, the AI ​​management system on the server inspects it. If there are no problems, the estimated amount is transferred to the user. The user can check the amount in their electronic money account.

[0446] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0447] Step 1:

[0448] The user uses the device

[0449] Users launch a dedicated application on their mobile information terminal, enter information about the item they wish to sell, take a photo, and upload it. The information entered includes the brand name, model name, purchase date, condition, etc.

[0450] Input: Product information entered by the user and photo data taken

[0451] Processing: The terminal formats the input data and prepares it for transmission.

[0452] Output: Formatted product information and photo data

[0453] Specific behavior:

[0454] The user opens the app.

[0455] Enter the "brand name," "model name," "purchase date," and "product condition" in the input form.

[0456] Press the photo button to take a photo of the product and upload it.

[0457] Click the "Submit" button to send the data to the server.

[0458] Step 2:

[0459] The server receives the data

[0460] The server receives the product information and photo data sent by the user, and then converts the data into a format that is easy to analyze.

[0461] Input: Product information and photo data sent by the user

[0462] Processing: The server formats the data and stores it in the database.

[0463] Output: Formatted and saved product information and photo data

[0464] Specific behavior:

[0465] The server receives the data as an HTTP request.

[0466] Parse product information and photo data into JSON format.

[0467] Save the data to a database.

[0468] Step 3:

[0469] AI performs the assessment

[0470] An AI engine built into the server references a market database based on product information and photo data to calculate the appraisal price.

[0471] Input: Formatted and saved product information, photo data, market data

[0472] Processing: An AI engine calculates the estimated value based on brand, model, condition, and market data.

[0473] Output: Appraised price

[0474] Specific behavior:

[0475] The AI ​​engine retrieves product data.

[0476] The appraisal price is calculated using an algorithm based on market data.

[0477] The calculated valuation price is saved.

[0478] Step 4:

[0479] Emotion Engine Analysis

[0480] An emotion engine built into the server analyzes the user's emotions regarding the assessment results.

[0481] Input: Estimated price, user emotion data

[0482] Processing: The emotion engine analyzes the user's emotions from their facial expressions and tone of voice to determine their level of satisfaction.

[0483] Output: Sentiment analysis results, feedback message

[0484] Specific behavior:

[0485] The emotion engine analyzes facial expressions and tone of voice from video and audio data.

[0486] Calculate a satisfaction / dissatisfaction score.

[0487] Generate a feedback message.

[0488] Step 5:

[0489] Sending assessment results

[0490] The calculated appraisal price and feedback based on the emotion analysis results are sent from the server to the mobile information terminal and displayed to the user.

[0491] Input: Estimated price, sentiment analysis results, feedback message

[0492] Processing: The server sends the assessment results and feedback to the mobile information device.

[0493] Output: Display the quoted price and feedback

[0494] Specific behavior:

[0495] The server sends the assessment result and a feedback message to the terminal.

[0496] The mobile information terminal displays the received data.

[0497] Step 6:

[0498] User Reactions

[0499] The user reviews the proposed valuation, and the emotion engine performs further analysis based on the user's response.

[0500] Input: Display of estimated price, user response data

[0501] Processing: The emotion engine analyzes the user's new emotion data and generates additional information as needed.

[0502] Output: Final feedback message

[0503] Specific behavior:

[0504] Users respond to the valuation price.

[0505] The server receives the new reaction data and reanalyzes it.

[0506] The server generates a final feedback message and sends it to the terminal.

[0507] Step 7:

[0508] User checks the estimated price

[0509] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[0510] Input: User authorization information

[0511] Processing: The terminal sends the authorization data to the server.

[0512] Output: Instruction to start shipping procedure

[0513] Specific behavior:

[0514] The user presses the "Accept" button.

[0515] The authorization data is sent to the server.

[0516] Step 8:

[0517] Shipping Procedures

[0518] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[0519] Input: User authorization information

[0520] Processing: The server generates a delivery label and shipping instructions and sends them to the terminal.

[0521] Output: Delivery label and shipping instructions

[0522] Specific behavior:

[0523] The server generates a delivery label and shipping instructions and sends them to the terminal.

[0524] The user prints the delivery label and packs the item.

[0525] Hand over the product to the courier.

[0526] Step 9:

[0527] The server confirms the arrival of the product

[0528] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it.

[0529] Input: Product arrival information

[0530] Processing: The AI ​​management system inspects the product condition and updates the database.

[0531] Output: Inspection results

[0532] Specific behavior:

[0533] The product arrives at the warehouse and the arrival confirmation process is executed.

[0534] The AI ​​management system inspects the condition of the products.

[0535] The inspection results are saved in the database.

[0536] Step 10:

[0537] Remittance procedure

[0538] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0539] Input: Inspection results

[0540] Processing: The server executes the remittance process.

[0541] Output: Remittance confirmation

[0542] Specific behavior:

[0543] If the inspection results are deemed to be satisfactory, the server requests the electronic money transfer system to process the transfer.

[0544] The assessed amount will be transferred to the user's electronic money account.

[0545] The user confirms the transfer.

[0546] (Application example 2)

[0547] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0548] Conventional appraisal systems for luxury goods, precious metals, watches, etc. respond uniformly without considering the user's feelings regarding the appraised price. As a result, even if the user is dissatisfied with the appraised price, they are unable to provide appropriate feedback or additional information, resulting in a poor user experience. There was also a need for a system that would quickly and accurately calculate an appraised price, allowing users to proceed with the selling process with peace of mind.

[0549] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotions and determining how the user feels about the appraisal result, means for starting the shipping procedure for the item if the user accepts the appraised price, and means for the server to confirm the arrival of the item and inspect the condition of the item. This makes it possible to take into account the user's emotions about the appraised price and provide appropriate feedback and additional information. Furthermore, a quick and fair appraisal price is calculated and smooth remittance processing using electronic currency is achieved, allowing the user to proceed with the selling procedure with peace of mind.

[0550] A "mobile information terminal" is an electronic device that can be carried and used by a user, and includes smartphones, tablets, and the like.

[0551] "Product information" refers to detailed information about the item being appraised, such as the brand name, model name, purchase date, and condition.

[0552] "Photo" refers to image data of a product taken using the camera function of a mobile information terminal.

[0553] A "server" is a remote computer system that receives and sends data and executes processes over a network.

[0554] "Artificial intelligence" refers to programs and systems that perform various analyses and judgments based on large amounts of data.

[0555] "Appraised value" refers to the estimated value of the product calculated based on the submitted product information and photos.

[0556] "Emotion analysis" refers to the process of analyzing information such as a user's facial expression and tone of voice to determine their emotional state.

[0557] "Feedback" refers to additional information or comments provided based on analysis results and user responses.

[0558] "Electronic currency" means currency traded in digital form, including digital assets such as electronic money.

[0559] "Inspection" refers to the process of checking the condition of the product and assessing whether the information provided matches its actual condition.

[0560] To implement this invention, the following hardware and software must be used in combination. The main components include a mobile information terminal, a server, an AI engine, an emotion engine, and an electronic currency remittance system.

[0561] System Configuration

[0562] 1. Mobile Information Terminals

[0563] A personal digital assistant (PDAs) is a device that runs an application that allows users to enter product information and upload photos. This includes smartphones and tablets. Users use the device to enter product information such as brand name, model name, purchase date, and condition, and take photos of the product to upload to the application.

[0564] 2. Server

[0565] The server receives the product information and photo data sent from the device and calculates the appraisal price based on this. The server is equipped with an AI engine that utilizes a huge amount of market data and an emotion engine that analyzes user emotions.

[0566] 3. AI Engine

[0567] The AI ​​engine is developed using Python or other high-level programming languages, such as machine learning frameworks like TensorFlow and Keras. It uses product information and photo data to reference market data, and takes into account the product's brand, model, condition, market trends, and past transaction data to quickly calculate a fair appraisal price.

[0568] 4. Emotion Engine

[0569] The emotion engine is a software module for analyzing the user's emotions regarding the assessment results. Emotion analysis utilizes data on the user's facial expressions and voice tone. For example, OpenCV and the face_recognition library are used to detect the user's facial expressions, and a pre-trained emotion recognition model using Keras is used to perform the analysis.

[0570] 5. Electronic Currency Transfer System

[0571] The server inspects the condition of the product after it arrives and transfers the estimated value to the user in electronic currency based on the inspection results. The electronic currency transfer can be carried out using, for example, PayPal or other electronic currency platforms.

[0572] Specific examples

[0573] The specific steps a user takes to sell a brand bag are as follows:

[0574] 1. Enter product information and upload photos

[0575] The user launches the application on their mobile information terminal, enters the brand name "Chanel," the model name "Classic Flap Bag," the purchase date "2021-01-01," and the condition "Like New," and then takes and uploads a photo of the bag.

[0576] 2. AI-based appraisal

[0577] The server receives the information, and the AI ​​engine calculates the estimated price of 25,000 yen based on market price data. The result is sent back to the device and displayed to the user.

[0578] 3. Emotion analysis

[0579] The emotion engine analyzes the user's facial expression in response to the appraisal result, and if it determines that the user is dissatisfied, the server provides additional appraisal information or the purchasing experiences of other users.

[0580] 4. Product shipping procedures

[0581] The user accepts the estimated price and begins the shipping process. Following instructions from the server, the product is packaged and handed over to the delivery company.

[0582] 5. Arrival of product and payment procedure

[0583] The product arrives at the server-managed warehouse and is inspected. If there are no problems, 25,000 yen is transferred to the electronic money account.

[0584] Prompt Sentence Examples

[0585] The user input and prompts are as follows:

[0586] Example product information:

[0587] Brand Name: Chanel

[0588] Model Name: Classic Flap Bag

[0589] Purchase date: 2021-01-01

[0590] Condition: Like new

[0591] Example prompt sentence:

[0592] You are the developer of an AI system that quickly calculates the estimated value of a designer bag based on photos and information uploaded by users. If users are dissatisfied, you have also built a system that allows them to provide additional information and feedback. Please use the following information to make an estimate:

[0593] Brand Name: Chanel

[0594] Model Name: Classic Flap Bag

[0595] Purchase date: 2021-01-01

[0596] Condition: Like new

[0597] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0598] Step 1:

[0599] A user launches an application on a mobile information terminal, inputs product information, and takes and uploads a photo. The input product information includes the brand name, model name, purchase date, condition, etc. The photo data is used to visually represent the product details. The input for this step is the product information and photo data, and the output is these data stored on the mobile information terminal.

[0600] Step 2:

[0601] The device sends product information and photo data to the server using an HTTP request, and the data is packaged in JSON format. The input of this step is the product information and photo data, and the output is the data sent to the server.

[0602] Step 3:

[0603] The server receives product information and photo data and converts the data into a format suitable for analysis. The server parses the received data, accesses the market database, and prepares it for analysis by the AI ​​engine. The input for this step is the received product information and photo data, and the output is data converted into a format that the AI ​​engine can use.

[0604] Step 4:

[0605] The AI ​​engine built into the server references market data based on product information and photo data to calculate an appraised price. Specifically, it considers product brand, model, condition, market trends, past transaction data, etc., and applies an AI algorithm to derive an appropriate appraised price. The input for this step is the converted product information and photo data, and the output is the calculated appraised price.

[0606] Step 5:

[0607] The emotion engine built into the server receives additional data from the mobile device (user's facial image and voice samples) to analyze the user's emotions towards the assessment results from their facial expressions and voice tone. The server uses a model for emotion analysis to determine the user's satisfaction or dissatisfaction. The input for this step is the facial image and voice samples, and the output is the user's emotional state.

[0608] Step 6:

[0609] The server generates an appraisal result and feedback based on the calculated appraisal price and the user's emotional state, and sends them back to the terminal. The appraisal result notification reflects the results of the emotion analysis, and if the user is not satisfied, it includes additional appraisal information and customer feedback. The inputs to this step are the appraisal price and the user's emotional state, and the output is the appraisal result and feedback sent back to the mobile information terminal.

[0610] Step 7:

[0611] The user checks the appraisal result, and if they agree with the appraised price, they press the "Agree" button to begin the shipping procedure for the item. The mobile information terminal sends the approval information to the server, and the server generates a delivery label and shipping instructions and provides them to the user. The input to this step is the user's approval information, and the output is a delivery label and shipping instructions.

[0612] Step 8:

[0613] The user packs the product and completes the shipping procedure using the provided delivery label. The product is sent to a server-managed warehouse via a delivery company. The input of this step is the packed product, and the output is the shipped product.

[0614] Step 9:

[0615] When a product arrives at a server-managed warehouse, the server's AI management system confirms the arrival of the product and performs an inspection. During inspection, the product is checked to ensure it is in the condition declared by the user, and if there are no problems, it proceeds to the next processing step. The input to this step is the arrived product, and the output is the inspection result.

[0616] Step 10:

[0617] If the inspection result is satisfactory, the server transfers the assessed amount to the user through an electronic currency transfer system. This transfer process can be performed using, for example, the PayPal API for Python. The input of this step is the inspection result, and the output is the transferred assessed amount.

[0618] The above is the specific processing flow for carrying out the invention.

[0619] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0620] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0621] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0622] [Second embodiment]

[0623] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0624] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0625] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0626] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0627] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0628] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0629] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0630] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0631] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0632] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0633] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0634] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0635] To put this invention into practice, a system is constructed that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraised price. Specific embodiments of the system are described below.

[0636] System Configuration

[0637] This system consists of the following elements:

[0638] 1. User Interface (UI)

[0639] An application that allows users to enter product information and upload photos. This is an app that runs on a mobile information terminal.

[0640] 2. Data transmission and reception module

[0641] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[0642] 3. Server

[0643] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and photo data.

[0644] 4. Artificial Intelligence (AI) Appraisal Engine

[0645] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[0646] 5. Electronic Money Transfer System

[0647] A system that transfers the amount in electronic money to users who accept the assessed price.

[0648] Program processing

[0649] Data entry and submission

[0650] The user uses the device

[0651] Users launch the app, enter information about the item they wish to sell, and then take and upload a photo. They are prompted to enter details such as the product's brand, model, purchase date, and usage status. Once the information is entered and the photo is uploaded, the user presses the "Submit" button, which sends the item information and photo to the server.

[0652] Data reception and AI assessment

[0653] The server receives the data

[0654] The server receives the product information and photo data sent by the user, checks the integrity and format of the data, and converts it into the appropriate format.

[0655] AI performs the assessment

[0656] The AI ​​appraisal engine analyzes product information and photo data, and retrieves related information from a market database, taking into account the product's popularity, deterioration, market demand, and other factors to calculate a fair appraisal price.

[0657] Sending assessment results

[0658] The server sends the calculated appraisal price and detailed information based on the appraisal to the mobile information terminal, where the user can check the appraisal results.

[0659] Approval of the estimated price and shipping procedures

[0660] User checks the estimated price

[0661] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[0662] Shipping Procedures

[0663] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[0664] Arrival of goods, inspection, and remittance

[0665] The server confirms the arrival of the product

[0666] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[0667] Remittance procedure

[0668] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0669] Specific examples

[0670] Example: When a user sells a designer bag

[0671] 1. User enters product information and uploads photos

[0672] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[0673] 2. The server performs AI assessment

[0674] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[0675] 3. The user accepts the estimated price and completes the shipping procedure.

[0676] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[0677] 4. The server receives the product and inspects it.

[0678] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[0679] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[0680] The processing flow will be explained below.

[0681] Step 1:

[0682] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[0683] Step 2:

[0684] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[0685] Step 3:

[0686] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[0687] Step 4:

[0688] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[0689] Step 5:

[0690] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[0691] Step 6:

[0692] The user confirms the proposed estimated price. If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[0693] Step 7:

[0694] The server receives the user's approval, generates a delivery label and shipping instructions, and provides them to the user. The user then prints the delivery label, packs the product, and hands it over to the delivery company.

[0695] Step 8:

[0696] The server receives notification of the arrival of the product, and the arrival information is recorded in the database.

[0697] Step 9:

[0698] The server uses an AI management system to inspect the product and confirm that the condition of the product is as declared by the user.

[0699] Step 10:

[0700] If the inspection results are satisfactory, the server initiates the remittance procedure, and the assessed price is sent to the user as electronic money via the remittance system.

[0701] Step 11:

[0702] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[0703] Example 1

[0704] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0705] In the past, when users wanted to sell unwanted products, they had to bring them to an appraiser's store, which was time-consuming and laborious. Furthermore, manual appraisals tend to be subjective, making it difficult to calculate a fair price. The purpose of this invention is to solve these problems and provide a system that allows users to sell products quickly and at a fair price.

[0706] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0707] In this invention, the server includes means for a user to input product information and upload images using a mobile communications terminal, means for transmitting product information and image data from the mobile communications terminal to the server, means for the server to calculate an estimated price of the product using artificial intelligence based on market data, means for the server to return the estimation result to the mobile communications terminal and for the mobile communications terminal to display the estimation result to the user, means for starting the delivery procedure for the product if the user agrees with the estimated price, means for the server to confirm the arrival of the product and inspect the condition of the product, and means for the server to remit the estimated amount to the user in electronic money based on the inspection results. This allows the user to easily and quickly complete the process from product appraisal to sale using their mobile communications terminal and receive a fair estimated price.

[0708] "User" refers to an individual or corporation that utilizes the system of the present invention to request an appraisal and sell a product.

[0709] "Mobile communication terminal" refers to a portable information processing device that can connect to the Internet, such as a smartphone, tablet, or laptop computer.

[0710] "Product information" refers to attribute information necessary to identify a product, such as the product's brand name, category, model, purchase date, and usage status.

[0711] "Images" refers to photographic data that records the current state of the product, including the overall view of the product and details of specific parts.

[0712] "Server" refers to a central system for receiving and processing data from mobile communication terminals via the Internet.

[0713] "Market Data" refers to the collection of data necessary for assessing the price of a product, such as past transaction history, current market prices, and trends in supply and demand.

[0714] "Artificial intelligence" refers to algorithms and systems that use machine learning and data analysis techniques to automatically calculate the estimated price of a product.

[0715] "Evaluated price" refers to the fair selling price of the product calculated by artificial intelligence based on market data.

[0716] "Evaluation results" refers to the evaluated price and the analysis results and reference information used to arrive at that price.

[0717] "Shipping procedure" refers to the preparation and work to send the product to the server's designated location after the user agrees to the evaluation price.

[0718] "Inspection" refers to the process by which the server checks to ensure that the product received matches the user's declaration.

[0719] "Electronic money" refers to a digital currency or payment system for conducting transactions over the Internet.

[0720] MODE FOR CARRYING OUT THE INVENTION

[0721] This invention is a system that allows users to input product information and upload images using a mobile communication terminal, and calculates the appraisal price of the product using artificial intelligence based on a huge amount of market data. Specific embodiments of this invention are described below.

[0722] System Configuration

[0723] This system consists of the following elements:

[0724] 1. User Interface (UI)

[0725] An application that allows users to enter product information and upload images. This is an app that runs on a mobile device.

[0726] For example: dedicated applications for smartphones and tablets.

[0727] 2. Data transmission and reception module

[0728] A module for transmitting product information and image data from a mobile communication terminal to a server and receiving appraisal results.

[0729] Example: Data communication function using the HTTPS protocol.

[0730] 3. Server

[0731] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and image data.

[0732] Examples: Cloud servers using AWS servers or Google Cloud Platform.

[0733] 4. Artificial Intelligence (AI) Appraisal Engine

[0734] An AI engine built into the server calculates the product's appraisal price based on a huge amount of market data.

[0735] Example: Machine learning models using TensorFlow or PyTorch.

[0736] 5. Electronic Money Transfer System

[0737] A system that transfers the amount in electronic money to users who accept the assessed price.

[0738] Examples: Electronic money transfer services such as PayPal and Stripe.

[0739] Program processing

[0740] The program of this system performs the following processing.

[0741] Data entry and submission

[0742] The user uses the device

[0743] Users launch the app, enter information about the product they wish to sell, and take and upload a photo. For example, users can enter information such as the brand name, model, purchase date, and usage status, and then take a photo of the product and upload it to the app.

[0744] Data reception and AI assessment

[0745] The server receives the data

[0746] The server receives the product information and image data sent by the user and checks the consistency and format of each piece of data.

[0747] AI performs the assessment

[0748] The AI ​​appraisal engine analyzes product information and image data, and retrieves relevant information from a market database, taking into account the product's popularity, deterioration status, market demand, and other factors to calculate an appropriate appraisal price.

[0749] Sending assessment results

[0750] The calculated appraisal price and detailed information are sent from the server to the mobile communication terminal, where the user can check the appraisal results on the terminal.

[0751] Approval of the estimated price and shipping procedures

[0752] User checks the estimated price

[0753] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[0754] Shipping Procedures

[0755] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[0756] Arrival of goods, inspection, and remittance

[0757] The server confirms the arrival of the product

[0758] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it.

[0759] Remittance procedure

[0760] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0761] Prompt Sentence Examples

[0762] "I'd like to sell a designer bag. Please enter the following information: brand name, model, purchase date, and usage status, and upload a photo. Please explain the necessary procedures based on the appraisal results."

[0763] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[0764] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0765] Step 1: User launches the app, enters product information, takes a photo, and uploads it

[0766] Users launch a dedicated app on their mobile communication device (smartphone or tablet). The app's interface is intuitive and designed to be easy for users to use. Users enter participation information (e.g., brand name, model, purchase date, usage status), take a photo of the product using the device's camera, and upload it. The data entered here consists of text information and image data.

[0767] Input: Brand name, model, purchase date, usage, and product photo

[0768] Output: The entered product information and photos are saved in the app.

[0769] Step 2: The device sends product information and photo data to the server

[0770] When the user presses the "Send" button, the device sends the entered product information and photo data to the server. The data is sent using a secure communication protocol (e.g., HTTPS). The device checks the accuracy of the data and monitors its path to the server.

[0771] Input: Product information and photos stored in the app

[0772] Output: Product information and photo data sent to the server

[0773] Step 3: The server receives the product information and photo data and checks the integrity and format.

[0774] The server receives the product information and photo data sent by the user, then checks the data for consistency and formatting, for example, whether the photo resolution and information format meet the standards.

[0775] Input: Product information and photo data sent to the server

[0776] Output: Integrity-checked, well-formed data

[0777] Step 4: The server launches the AI ​​appraisal engine and analyzes the product information and photo data.

[0778] The server's artificial intelligence (AI) appraisal engine analyzes product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an appraisal price based on factors such as the product's popularity, deterioration status, and market demand. Machine learning models (e.g., using TensorFlow or PyTorch) are used here.

[0779] Input: Integrity-checked, correctly formatted data

[0780] Output: Calculated valuation price and detailed information based on the valuation

[0781] Step 5: The server sends the assessment results to the terminal, and the terminal displays the assessment results to the user.

[0782] The server sends the calculated valuation price and detailed valuation information to the user's device. The device receives this and displays the valuation results to the user. The display includes the price, the analysis results leading up to the price, and reference information.

[0783] Input: Calculated valuation price and detailed valuation information

[0784] Output: Assessment results and detailed information displayed on the terminal

[0785] Step 6: The user confirms the estimated price and selects "Accept" or "Request a re-evaluation"

[0786] The user checks the proposed estimated price and detailed information, and selects "Accept" or "Request re-evaluation." If the user approves the estimated price, he or she presses the "Accept" button. This information is sent to the server.

[0787] Input: Assessment results displayed on the terminal and user selection

[0788] Output: The user's choice (approval or reassessment request) is sent to the server.

[0789] Step 7: The server receives the authorization and provides the user with shipping instructions and a delivery label.

[0790] The server receives the approval information and provides the user with a delivery label and shipping instructions, which the user uses to package the product and send it via a delivery company to a warehouse designated by the server.

[0791] Input: User consent information

[0792] Output: Delivery label and shipping instructions to the user

[0793] Step 8: The server confirms the arrival of the product and inspects it.

[0794] The server's AI management system confirms the arrival of the product. After it arrives, the AI ​​system inspects the product and verifies that it is in the condition as reported by the user. For example, it automatically checks for scratches, discoloration, etc.

[0795] Input: Arrived product

[0796] Output: Inspection results

[0797] Step 9: The server transfers the assessed amount to the user as electronic money based on the inspection results.

[0798] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0799] Input: Inspection results

[0800] Output: The assessed amount transferred to the user's e-money account.

[0801] In this way, the system allows users to easily and quickly value and sell products through a series of processing steps.

[0802] (Application example 1)

[0803] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0804] In the past, selling unwanted products required a great deal of time and effort. For example, it was necessary to accurately record product information and repeatedly request expert estimates to obtain a fair appraisal price. Furthermore, after agreeing to the appraisal price, the process required shipping, product arrival, and inspection before finally receiving the sales proceeds, making for a very cumbersome process. Furthermore, in brick-and-mortar stores, if the staff did not have specialized knowledge of appraisals, the appraisal process took a long time, resulting in reduced efficiency.

[0805] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0806] In this invention, the server includes a means for a user to input product information and upload photos using a mobile information terminal, a means for transmitting product information and photo data from the mobile information terminal to the server, a means for the server to calculate an appraised price of the product using artificial intelligence based on a large amount of market data, and a means for the server to return the appraisal result to the mobile information terminal, which then displays the appraisal result to the user. This allows users to easily input product information and quickly obtain a fair appraised price. Furthermore, by having store staff and users cooperate to input product information, have an appraisal conducted on the spot, and immediately conclude a purchase contract if satisfied, the appraisal process in physical stores is made more efficient, enabling quick and accurate appraisals.

[0807] A "personal digital assistant" is an electronic device that a user can carry with them, and is a device that allows the user to input product information and upload photos.

[0808] "Product information" is detailed information about the product you wish to sell, including the brand name, model name, purchase date, condition, and so on.

[0809] "Photo data" refers to image data of a product that a user has taken a photo of using a mobile information terminal and uploaded.

[0810] "Server" means a central computing unit that transmits and receives data over the Internet and performs the calculations to calculate the assessed value of a product.

[0811] "Market Data" means information about past and current market trends and price movements, and is data necessary to calculate the assessed price of a product.

[0812] "Artificial intelligence" refers to algorithms and programs that use machine learning and data analysis techniques to calculate the optimal appraisal price based on product information.

[0813] The "assessed price" is the amount calculated based on the current market value of the product, and is the selling price offered to the user.

[0814] A "physical store" is a type of retail business that exists in a physical location and where customers can visit to purchase or appraise products.

[0815] A "purchase agreement" is a legal contract between a user and a store agreeing to sell a product based on an assessed price.

[0816] "Inspection results" are data showing the results of the server checking the condition of the product upon arrival and confirming whether it is as declared by the user.

[0817] "Electronic money" is currency stored in digital form and can be used for online or mobile payments.

[0818] This invention is a system that allows users to quickly appraise and sell unwanted brand-name goods, precious metals, watches, and other items using their personal mobile information terminals. This system is composed of the following elements:

[0819] 1. User Interface (UI)

[0820] Users enter product information through a dedicated application, take and upload photos of the product, and enter detailed information such as the brand name, model name, purchase date, and product condition.

[0821] 2. Data transmission and reception module

[0822] Product information and photo data are sent from the mobile information terminal to the server, and the appraisal results are received. This module communicates over the Internet using the HTTP protocol.

[0823] 3. Server

[0824] The server analyzes the received data and uses artificial intelligence to calculate the product's estimated price based on a vast amount of market data. This server includes multiple databases and AI engines (such as TensorFlow and PyTorch).

[0825] 4. Artificial Intelligence (AI) Appraisal Engine

[0826] The AI ​​engine built into the server calculates an appraisal price based on product information and photo data, taking into account past transaction data and market trends. This is done using a generative AI model.

[0827] 5. Notification of assessment results

[0828] The server returns the calculated valuation price and valuation details to the mobile information terminal, where the user can check the valuation results on their own terminal.

[0829] 6. Approval of the estimated price and shipping procedures

[0830] Once the user accepts the proposed valuation price, they can begin the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user packs the item and ships it to the specified warehouse.

[0831] 7. Arrival of goods, inspection, and remittance

[0832] The server confirms that the sent item has arrived and inspects the condition of the item. If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[0833] For example, if a user wants to sell a designer bag, the following steps are taken:

[0834] 1. The user launches the app, enters product information (brand name, model name, purchase date, condition), and takes and uploads a photo of the bag.

[0835] 2. The server analyzes the received information, and the AI ​​calculates the valuation price based on a huge amount of market data. For example, an valuation price of 25,000 yen is calculated instantly.

[0836] 3. The user checks the appraisal results and, if they agree with the price, packs the item and ships it to the designated warehouse.

[0837] 4. The product arrives at the warehouse, its condition is inspected, and if there are no problems, the server transfers 25,000 yen to the user in electronic money.

[0838] Example prompt sentence:

[0839] I would like to have my designer bag appraised. Brand: Louis Vuitton, Model: Neverfull GM, Purchase Date: 2021-03-15, Condition: Good. Please calculate the estimated price based on this information.

[0840] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0841] Step 1:

[0842] User interface data entry and photography

[0843] The user launches the app on their mobile information terminal and enters information about the item they want to sell (brand name, model name, purchase date, condition, etc.). They also take a photo of the item using the camera function of their mobile information terminal and upload it. The entered data and photo are sent to the server in the next step.

[0844] Input: Product information, photo data

[0845] Output: User entered information and uploaded photo

[0846] Step 2:

[0847] Data transmission

[0848] The mobile information terminal sends the input product information and photo data to the server. Data transmission is usually performed via the HTTP protocol.

[0849] Input: Product information, photo data

[0850] Output: Data is sent to the server correctly

[0851] Step 3:

[0852] Data reception and integrity check

[0853] The server receives the product information and photo data sent by the user, checks the integrity and format of the received data, and proceeds to the next step after confirming that the data has been received in the correct format.

[0854] Input: Product information, photo data

[0855] Output: Data with integrity checked

[0856] Step 4:

[0857] AI-based appraisal price calculation

[0858] An AI engine built into the server calculates the valuation price based on product information and photo data. This AI engine takes into account past transaction data and market trends to calculate the appropriate valuation price for the product. For example, a generative AI model can be used to reference prices of similar products from market data and analyze the condition of the product.

[0859] Input: Product information, photo data, past transaction data, market trend data

[0860] Output: Calculated valuation price

[0861] Step 5:

[0862] Return of assessment results

[0863] The server returns the calculated appraisal price and detailed information to the mobile information terminal, where the user can check the appraisal results on their own terminal.

[0864] Input: Estimated price, details

[0865] Output: The assessment results are displayed on the user's mobile device.

[0866] Step 6:

[0867] Approval of the estimated price and shipping procedures

[0868] If the user accepts the proposed bid, they initiate the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user then properly packages the item and ships it to the designated warehouse.

[0869] Input: Approval information for the assessed price

[0870] Output: Shipping instructions, delivery label

[0871] Step 7:

[0872] Checking and inspecting the arrival of goods

[0873] The server confirms that the delivered product has arrived at the warehouse and inspects the product condition. It verifies that the product condition is as declared by the user, and if there are no problems, it proceeds to the next step.

[0874] Input: Incoming goods, declared information

[0875] Output: Inspection results

[0876] Step 8:

[0877] Remittance procedure

[0878] If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[0879] Input: Final approval based on inspection

[0880] Output: The transferred amount is reflected in the user's account.

[0881] This series of steps allows users to efficiently appraise unwanted items and quickly sell them.

[0882] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0883] To put this invention into practice, it is necessary to build a system that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraisal price, while also combining the system with a function that recognizes the user's emotions and responds based on their reactions. A specific embodiment of the system is described below.

[0884] System Configuration

[0885] This system consists of the following elements:

[0886] 1. User Interface (UI)

[0887] An application that allows users to enter product information and upload photos. This application runs on a mobile information device.

[0888] 2. Data transmission and reception module

[0889] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[0890] 3. Server

[0891] A server containing multiple databases, an AI engine, and an emotion engine, which allows the system to quickly calculate a fair appraisal price based on product information and photo data, and analyzes user emotions to provide appropriate feedback.

[0892] 4. Artificial Intelligence (AI) Appraisal Engine

[0893] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[0894] 5. Emotion Engine

[0895] An emotion engine built into the server analyzes the user's emotional response to the assessment results and provides appropriate feedback and additional information.

[0896] 6. Electronic Money Transfer System

[0897] A system for transferring the amount in electronic money to users who have accepted the assessed price.

[0898] Program processing

[0899] Data entry and submission

[0900] The user uses the device

[0901] The user launches the app, enters information about the item they wish to sell, and then takes and uploads a photo. The information includes the brand name, model name, purchase date, condition, etc. Once the user has completed entering information and uploading the photo, they press the "Send" button to send the data from their device to the server.

[0902] Data reception and AI assessment

[0903] The server receives the data

[0904] The server receives the product information and photo data sent by the user, and then converts the data into a format suitable for analysis.

[0905] AI performs the assessment

[0906] The AI ​​engine uses product information and photo data to refer to a market database, taking into account information such as the product brand, model, condition, and market demand, and calculates an appraisal price.

[0907] Emotion Engine Analysis

[0908] The emotion engine analyzes the user's emotions regarding the assessment results from facial expressions and tone of voice, and determines whether the user is satisfied or dissatisfied.

[0909] Notification of assessment results and feedback

[0910] Sending assessment results

[0911] The calculated valuation price and detailed information are sent from the server to the mobile information terminal and displayed to the user. Depending on the user's emotions, appropriate feedback and additional information are displayed.

[0912] User Reactions

[0913] The user confirms the proposed valuation price, and the emotion engine further analyzes the user's reaction. For example, if the user is determined to be dissatisfied with the valuation price, the server can automatically provide additional valuation information or valuation results for similar products.

[0914] Approval of the estimated price and shipping procedures

[0915] User checks the estimated price

[0916] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[0917] Shipping Procedures

[0918] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[0919] Arrival of goods, inspection, and remittance

[0920] The server confirms the arrival of the product

[0921] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[0922] Remittance procedure

[0923] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[0924] Specific examples

[0925] Example: When a user sells a designer bag

[0926] 1. User enters product information and uploads photos

[0927] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[0928] 2. The server performs AI assessment

[0929] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[0930] 3. Emotion engine analyzes user emotions

[0931] The server analyzes the user's feelings about the offered appraisal price, and if it determines that the user is dissatisfied, it provides feedback by presenting additional appraisal information and the purchasing experiences of other users.

[0932] 4. The user accepts the estimated price and completes the shipping procedure.

[0933] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[0934] 5. The server receives the product and inspects it.

[0935] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[0936] This allows the system to efficiently and quickly purchase users' unwanted items at a fair price, and provide feedback based on the user's emotions to improve the selling experience.

[0937] The processing flow will be explained below.

[0938] Step 1:

[0939] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[0940] Step 2:

[0941] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[0942] Step 3:

[0943] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[0944] Step 4:

[0945] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[0946] Step 5:

[0947] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[0948] Step 6:

[0949] The emotion engine analyzes the facial expressions and tone of voice of the user confirming the assessment results to recognize the user's emotions. The recognition results are classified into emotion categories such as "satisfied" and "dissatisfied."

[0950] Step 7:

[0951] The user confirms the quoted price, and the emotion engine further analyzes the user's reaction. For example, if the user expresses dissatisfaction with the quoted price, the server automatically provides the user with additional valuation information or valuation results for similar products.

[0952] Step 8:

[0953] If the user is satisfied with the estimated price, he or she presses the "Accept" button. The approval information is sent from the terminal to the server, and the server records the user's approval.

[0954] Step 9:

[0955] The server receives the approval information, generates a delivery label and shipping instructions, and provides them to the user. The user prints the delivery label, packages the product, and hands it over to the delivery company.

[0956] Step 10:

[0957] The server receives notification of the arrival of the goods and records the arrival information in the database, while the AI ​​management system simultaneously inspects the condition of the goods.

[0958] Step 11:

[0959] If the server finds no problems based on the inspection results, it starts the remittance procedure and remits the assessed price to the user as electronic money through the remittance system.

[0960] Step 12:

[0961] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[0962] Example 2

[0963] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0964] Previous systems for buying unwanted items had problems such as not being able to calculate the appraisal price of the item quickly enough, not providing feedback that took the user's feelings into consideration, and not being able to speed up the remittance process. These problems led to lower user satisfaction and a loss of system usability.

[0965] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving and analyzing product information and photo data, a means for calculating the assessed price of the product using artificial intelligence based on a huge amount of market data, and a means for analyzing the user's emotions. This makes it possible to quickly and accurately calculate the assessed price and provide feedback that takes the user's emotions into consideration.

[0966] A "personal digital assistant" is a device that can be carried by a user, can connect to the Internet, and has the function of executing applications.

[0967] "Product information" refers to all data related to a product, and specifically includes attribute information such as the brand name, model name, purchase date, and condition.

[0968] "Photo data" refers to an image file that visually shows the appearance of a product, and is taken using a terminal and uploaded to a server.

[0969] A "server" is a computer system that provides services over a network and has functions such as receiving, analyzing, storing, and transmitting data.

[0970] "Artificial intelligence" is a technology that simulates human-like intelligent behavior on a computer, and specifically includes algorithms that perform data analysis, prediction, classification, etc.

[0971] "Market Data" includes past and current trading information, price trends, supply and demand conditions, and other data used in valuing products.

[0972] The "assessed price" is a value obtained by evaluating the market value of the product and expressing it as a monetary amount, and is presented to the user.

[0973] "Emotion analysis" is the process of determining a user's psychological state from facial expressions, tone of voice, text data, etc., and assessing the user's satisfaction or dissatisfaction.

[0974] "Feedback" refers to reply information or advice provided to a user, and is generated based on the results of assessment and sentiment analysis.

[0975] The "shipping procedure" refers to a series of tasks required for sending the item that the user has approved for appraisal to a specified location, including generating a delivery label, packaging the item, and issuing shipping instructions.

[0976] "Inspection" is the process in which the server checks the condition of the product received, comparing the user's declaration with the actual condition of the product.

[0977] "Electronic money" refers to currency managed in digital form, which is sent and received through a network.

[0978] To put this invention into practice, we need to build a system that allows users to use their mobile information terminals to request appraisals for unwanted products (branded goods, precious metals, watches, etc.), receive a fair appraisal price, and quickly sell them. It is also necessary to combine this with a function that recognizes the user's emotions and provides feedback based on their reactions.

[0979] System Configuration

[0980] This system consists of the following elements:

[0981] 1. User Interface (UI)

[0982] An application that allows users to enter product information and upload photos. This application runs on a mobile information device.

[0983] 2. Data transmission and reception module

[0984] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[0985] 3. Server

[0986] A computer system that includes multiple databases, an AI engine, and an emotion engine. It quickly calculates a fair appraisal price based on product information and photo data, and analyzes user emotions to provide appropriate feedback.

[0987] 4. Artificial Intelligence (AI) Appraisal Engine

[0988] The AI ​​engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[0989] 5. Emotion Engine

[0990] An emotion engine built into the server analyzes the user's emotional response to the assessment results and provides appropriate feedback and additional information.

[0991] 6. Electronic Money Transfer System

[0992] A system for transferring the amount in electronic money to users who have accepted the assessed price.

[0993] Data entry and submission

[0994] The user uses the device

[0995] The user launches the dedicated application, enters information about the item they wish to sell, and takes and uploads a photo. The information entered includes the brand name, model name, purchase date, condition, etc. Once the information has been entered and the photo uploaded, the user presses the "Send" button to send the data from their device to the server.

[0996] Data reception and AI assessment

[0997] The server receives the data

[0998] The server receives the product information and photo data sent by the user, and then converts the data into a format that is easy to analyze.

[0999] AI performs the assessment

[1000] The AI ​​engine uses product information and photo data to refer to a market database, taking into account information such as the product brand, model, condition, and market demand, and calculates an appraisal price.

[1001] Emotion Engine Analysis

[1002] The emotion engine analyzes the user's emotions regarding the assessment results and determines whether the user is satisfied or dissatisfied.

[1003] Notification of assessment results and feedback

[1004] Sending assessment results

[1005] The calculated valuation price and detailed information are sent from the server to the mobile information terminal and displayed to the user. Depending on the user's emotions, appropriate feedback and additional information are displayed.

[1006] User Reactions

[1007] The user confirms the proposed valuation price, and the emotion engine further analyzes the user's reaction. For example, if the user is determined to be dissatisfied with the valuation price, the server can automatically provide additional valuation information or valuation results for similar products.

[1008] Approval of the estimated price and shipping procedures

[1009] User checks the estimated price

[1010] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[1011] Shipping Procedures

[1012] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[1013] Arrival of goods, inspection, and remittance

[1014] The server confirms the arrival of the product

[1015] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[1016] Remittance procedure

[1017] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1018] Specific examples

[1019] Example: When a user sells a designer bag

[1020] 1. User enters product information and uploads photos

[1021] The user starts the app on their mobile device and inputs the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[1022] 2. The server performs AI assessment

[1023] The server receives the information, and the AI ​​instantly calculates an estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[1024] 3. Emotion engine analyzes user emotions

[1025] The server analyzes the user's feelings about the offered appraisal price, and if it determines that the user is dissatisfied, it provides feedback by presenting additional appraisal information and the purchasing experiences of other users.

[1026] 4. The user accepts the estimated price and completes the shipping procedure.

[1027] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the item is packed and shipped via a courier.

[1028] 5. The server receives the product and inspects it.

[1029] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[1030] In this way, the system can buy back unwanted items quickly and at a fair price, and provide feedback based on the user's responses to improve the selling experience.

[1031] Prompt Sentence Examples

[1032] Below is an example of a prompt sentence to input to the generative AI model.

[1033] Enter product information: Enter the following information into the smartphone app: "Brand bag," "Model name," "Purchase date," and "Whether there are any scratches or fading."

[1034] Photo Upload: Take and upload a photo of the entire bag, including the front, bottom, and inside.

[1035] AI appraisal: The server's AI calculates the appraisal price based on the product information and photos, and returns the appraisal result to the mobile information terminal. The appraisal price is "25,000 yen."

[1036] Sentiment analysis: The server's emotion engine analyzes the user's sentiment regarding the valuation price. If the user is dissatisfied, the server provides additional valuation information and offers suggestions.

[1037] Shipping procedure: The user accepts the estimated price, follows instructions from the server to pack the item, and hands it over to the delivery company.

[1038] Product inspection: After the product arrives, the AI ​​management system on the server inspects it. If there are no problems, the estimated amount is transferred to the user. The user can check the amount in their electronic money account.

[1039] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1040] Step 1:

[1041] The user uses the device

[1042] Users launch a dedicated application on their mobile information terminal, enter information about the item they wish to sell, take a photo, and upload it. The information entered includes the brand name, model name, purchase date, condition, etc.

[1043] Input: Product information entered by the user and photo data taken

[1044] Processing: The terminal formats the input data and prepares it for transmission.

[1045] Output: Formatted product information and photo data

[1046] Specific behavior:

[1047] The user opens the app.

[1048] Enter the "brand name," "model name," "purchase date," and "product condition" in the input form.

[1049] Press the photo button to take a photo of the product and upload it.

[1050] Click the "Submit" button to send the data to the server.

[1051] Step 2:

[1052] The server receives the data

[1053] The server receives the product information and photo data sent by the user, and then converts the data into a format that is easy to analyze.

[1054] Input: Product information and photo data sent by the user

[1055] Processing: The server formats the data and stores it in the database.

[1056] Output: Formatted and saved product information and photo data

[1057] Specific behavior:

[1058] The server receives the data as an HTTP request.

[1059] Parse product information and photo data into JSON format.

[1060] Save the data to a database.

[1061] Step 3:

[1062] AI performs the assessment

[1063] An AI engine built into the server references a market database based on product information and photo data to calculate the appraisal price.

[1064] Input: Formatted and saved product information, photo data, market data

[1065] Processing: An AI engine calculates the estimated value based on brand, model, condition, and market data.

[1066] Output: Appraised price

[1067] Specific behavior:

[1068] The AI ​​engine retrieves product data.

[1069] The appraisal price is calculated using an algorithm based on market data.

[1070] The calculated valuation price is saved.

[1071] Step 4:

[1072] Emotion Engine Analysis

[1073] An emotion engine built into the server analyzes the user's emotions regarding the assessment results.

[1074] Input: Estimated price, user emotion data

[1075] Processing: The emotion engine analyzes the user's emotions from their facial expressions and tone of voice to determine their level of satisfaction.

[1076] Output: Sentiment analysis results, feedback message

[1077] Specific behavior:

[1078] The emotion engine analyzes facial expressions and tone of voice from video and audio data.

[1079] Calculate a satisfaction / dissatisfaction score.

[1080] Generate a feedback message.

[1081] Step 5:

[1082] Sending assessment results

[1083] The calculated appraisal price and feedback based on the emotion analysis results are sent from the server to the mobile information terminal and displayed to the user.

[1084] Input: Estimated price, sentiment analysis results, feedback message

[1085] Processing: The server sends the assessment results and feedback to the mobile information device.

[1086] Output: Display the quoted price and feedback

[1087] Specific behavior:

[1088] The server sends the assessment result and a feedback message to the terminal.

[1089] The mobile information terminal displays the received data.

[1090] Step 6:

[1091] User Reactions

[1092] The user reviews the proposed valuation, and the emotion engine performs further analysis based on the user's response.

[1093] Input: Display of estimated price, user response data

[1094] Processing: The emotion engine analyzes the user's new emotion data and generates additional information as needed.

[1095] Output: Final feedback message

[1096] Specific behavior:

[1097] Users respond to the valuation price.

[1098] The server receives the new reaction data and reanalyzes it.

[1099] The server generates a final feedback message and sends it to the terminal.

[1100] Step 7:

[1101] User checks the estimated price

[1102] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[1103] Input: User authorization information

[1104] Processing: The terminal sends the authorization data to the server.

[1105] Output: Instruction to start shipping procedure

[1106] Specific behavior:

[1107] The user presses the "Accept" button.

[1108] The authorization data is sent to the server.

[1109] Step 8:

[1110] Shipping Procedures

[1111] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[1112] Input: User authorization information

[1113] Processing: The server generates a delivery label and shipping instructions and sends them to the terminal.

[1114] Output: Delivery label and shipping instructions

[1115] Specific behavior:

[1116] The server generates a delivery label and shipping instructions and sends them to the terminal.

[1117] The user prints the delivery label and packs the item.

[1118] Hand over the product to the courier.

[1119] Step 9:

[1120] The server confirms the arrival of the product

[1121] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it.

[1122] Input: Product arrival information

[1123] Processing: The AI ​​management system inspects the product condition and updates the database.

[1124] Output: Inspection results

[1125] Specific behavior:

[1126] The product arrives at the warehouse and the arrival confirmation process is executed.

[1127] The AI ​​management system inspects the condition of the products.

[1128] The inspection results are saved in the database.

[1129] Step 10:

[1130] Remittance procedure

[1131] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1132] Input: Inspection results

[1133] Processing: The server executes the remittance process.

[1134] Output: Remittance confirmation

[1135] Specific behavior:

[1136] If the inspection results are deemed to be satisfactory, the server requests the electronic money transfer system to process the transfer.

[1137] The assessed amount will be transferred to the user's electronic money account.

[1138] The user confirms the transfer.

[1139] (Application example 2)

[1140] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[1141] Conventional appraisal systems for luxury goods, precious metals, watches, etc. respond uniformly without considering the user's feelings regarding the appraised price. As a result, even if the user is dissatisfied with the appraised price, they are unable to provide appropriate feedback or additional information, resulting in a poor user experience. There was also a need for a system that would quickly and accurately calculate an appraised price, allowing users to proceed with the selling process with peace of mind.

[1142] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotions and determining how the user feels about the appraisal result, means for starting the shipping procedure for the item if the user accepts the appraised price, and means for the server to confirm the arrival of the item and inspect the condition of the item. This makes it possible to take into account the user's emotions about the appraised price and provide appropriate feedback and additional information. Furthermore, a quick and fair appraisal price is calculated and smooth remittance processing using electronic currency is achieved, allowing the user to proceed with the selling procedure with peace of mind.

[1143] A "mobile information terminal" is an electronic device that can be carried and used by a user, and includes smartphones, tablets, and the like.

[1144] "Product information" refers to detailed information about the item being appraised, such as the brand name, model name, purchase date, and condition.

[1145] "Photo" refers to image data of a product taken using the camera function of a mobile information terminal.

[1146] A "server" is a remote computer system that receives and sends data and executes processes over a network.

[1147] "Artificial intelligence" refers to programs and systems that perform various analyses and judgments based on large amounts of data.

[1148] "Appraised value" refers to the estimated value of the product calculated based on the submitted product information and photos.

[1149] "Emotion analysis" refers to the process of analyzing information such as a user's facial expression and tone of voice to determine their emotional state.

[1150] "Feedback" refers to additional information or comments provided based on analysis results and user responses.

[1151] "Electronic currency" means currency traded in digital form, including digital assets such as electronic money.

[1152] "Inspection" refers to the process of checking the condition of the product and assessing whether the information provided matches its actual condition.

[1153] To implement this invention, the following hardware and software must be used in combination. The main components include a mobile information terminal, a server, an AI engine, an emotion engine, and an electronic currency remittance system.

[1154] System Configuration

[1155] 1. Mobile Information Terminals

[1156] A personal digital assistant (PDAs) is a device that runs an application that allows users to enter product information and upload photos. This includes smartphones and tablets. Users use the device to enter product information such as brand name, model name, purchase date, and condition, and take photos of the product to upload to the application.

[1157] 2. Server

[1158] The server receives the product information and photo data sent from the device and calculates the appraisal price based on this. The server is equipped with an AI engine that utilizes a huge amount of market data and an emotion engine that analyzes user emotions.

[1159] 3. AI Engine

[1160] The AI ​​engine is developed using Python or other high-level programming languages, such as machine learning frameworks like TensorFlow and Keras. It uses product information and photo data to reference market data, and takes into account the product's brand, model, condition, market trends, and past transaction data to quickly calculate a fair appraisal price.

[1161] 4. Emotion Engine

[1162] The emotion engine is a software module for analyzing the user's emotions regarding the assessment results. Emotion analysis utilizes data on the user's facial expressions and voice tone. For example, OpenCV and the face_recognition library are used to detect the user's facial expressions, and a pre-trained emotion recognition model using Keras is used to perform the analysis.

[1163] 5. Electronic Currency Transfer System

[1164] The server inspects the condition of the product after it arrives and transfers the estimated value to the user in electronic currency based on the inspection results. The electronic currency transfer can be carried out using, for example, PayPal or other electronic currency platforms.

[1165] Specific examples

[1166] The specific steps a user takes to sell a brand bag are as follows:

[1167] 1. Enter product information and upload photos

[1168] The user launches the application on their mobile information terminal, enters the brand name "Chanel," the model name "Classic Flap Bag," the purchase date "2021-01-01," and the condition "Like New," and then takes and uploads a photo of the bag.

[1169] 2. AI-based appraisal

[1170] The server receives the information, and the AI ​​engine calculates the estimated price of 25,000 yen based on market price data. The result is sent back to the device and displayed to the user.

[1171] 3. Emotion analysis

[1172] The emotion engine analyzes the user's facial expression in response to the appraisal result, and if it determines that the user is dissatisfied, the server provides additional appraisal information or the purchasing experiences of other users.

[1173] 4. Product shipping procedures

[1174] The user accepts the estimated price and begins the shipping process. Following instructions from the server, the product is packaged and handed over to the delivery company.

[1175] 5. Arrival of product and payment procedure

[1176] The product arrives at the server-managed warehouse and is inspected. If there are no problems, 25,000 yen is transferred to the electronic money account.

[1177] Prompt Sentence Examples

[1178] The user input and prompts are as follows:

[1179] Example product information:

[1180] Brand Name: Chanel

[1181] Model Name: Classic Flap Bag

[1182] Purchase date: 2021-01-01

[1183] Condition: Like new

[1184] Example prompt sentence:

[1185] You are the developer of an AI system that quickly calculates the estimated value of a designer bag based on photos and information uploaded by users. If users are dissatisfied, you have also built a system that allows them to provide additional information and feedback. Please use the following information to make an estimate:

[1186] Brand Name: Chanel

[1187] Model Name: Classic Flap Bag

[1188] Purchase date: 2021-01-01

[1189] Condition: Like new

[1190] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1191] Step 1:

[1192] A user launches an application on a mobile information terminal, inputs product information, and takes and uploads a photo. The input product information includes the brand name, model name, purchase date, condition, etc. The photo data is used to visually represent the product details. The input for this step is the product information and photo data, and the output is these data stored on the mobile information terminal.

[1193] Step 2:

[1194] The device sends product information and photo data to the server using an HTTP request, and the data is packaged in JSON format. The input of this step is the product information and photo data, and the output is the data sent to the server.

[1195] Step 3:

[1196] The server receives product information and photo data and converts the data into a format suitable for analysis. The server parses the received data, accesses the market database, and prepares it for analysis by the AI ​​engine. The input for this step is the received product information and photo data, and the output is data converted into a format that the AI ​​engine can use.

[1197] Step 4:

[1198] The AI ​​engine built into the server references market data based on product information and photo data to calculate an appraised price. Specifically, it considers product brand, model, condition, market trends, past transaction data, etc., and applies an AI algorithm to derive an appropriate appraised price. The input for this step is the converted product information and photo data, and the output is the calculated appraised price.

[1199] Step 5:

[1200] The emotion engine built into the server receives additional data from the mobile device (user's facial image and voice samples) to analyze the user's emotions towards the assessment results from their facial expressions and voice tone. The server uses a model for emotion analysis to determine the user's satisfaction or dissatisfaction. The input for this step is the facial image and voice samples, and the output is the user's emotional state.

[1201] Step 6:

[1202] The server generates an appraisal result and feedback based on the calculated appraisal price and the user's emotional state, and sends them back to the terminal. The appraisal result notification reflects the results of the emotion analysis, and if the user is not satisfied, it includes additional appraisal information and customer feedback. The inputs to this step are the appraisal price and the user's emotional state, and the output is the appraisal result and feedback sent back to the mobile information terminal.

[1203] Step 7:

[1204] The user checks the appraisal result, and if they agree with the appraised price, they press the "Agree" button to begin the shipping procedure for the item. The mobile information terminal sends the approval information to the server, and the server generates a delivery label and shipping instructions and provides them to the user. The input to this step is the user's approval information, and the output is a delivery label and shipping instructions.

[1205] Step 8:

[1206] The user packs the product and completes the shipping procedure using the provided delivery label. The product is sent to a server-managed warehouse via a delivery company. The input of this step is the packed product, and the output is the shipped product.

[1207] Step 9:

[1208] When a product arrives at a server-managed warehouse, the server's AI management system confirms the arrival of the product and performs an inspection. During inspection, the product is checked to ensure it is in the condition declared by the user, and if there are no problems, it proceeds to the next processing step. The input to this step is the arrived product, and the output is the inspection result.

[1209] Step 10:

[1210] If the inspection result is satisfactory, the server transfers the assessed amount to the user through an electronic currency transfer system. This transfer process can be performed using, for example, the PayPal API for Python. The input of this step is the inspection result, and the output is the transferred assessed amount.

[1211] The above is the specific processing flow for carrying out the invention.

[1212] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1213] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1214] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1215] [Third embodiment]

[1216] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1217] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1218] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1219] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[1220] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1221] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1222] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1223] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1224] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1225] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1226] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1227] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1228] To put this invention into practice, a system is constructed that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraised price. Specific embodiments of the system are described below.

[1229] System Configuration

[1230] This system consists of the following elements:

[1231] 1. User Interface (UI)

[1232] An application that allows users to enter product information and upload photos. This is an app that runs on a mobile information terminal.

[1233] 2. Data transmission and reception module

[1234] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[1235] 3. Server

[1236] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and photo data.

[1237] 4. Artificial Intelligence (AI) Appraisal Engine

[1238] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[1239] 5. Electronic Money Transfer System

[1240] A system that transfers the amount in electronic money to users who accept the assessed price.

[1241] Program processing

[1242] Data entry and submission

[1243] The user uses the device

[1244] Users launch the app, enter information about the item they wish to sell, and then take and upload a photo. They are prompted to enter details such as the product's brand, model, purchase date, and usage status. Once the information is entered and the photo is uploaded, the user presses the "Submit" button, which sends the item information and photo to the server.

[1245] Data reception and AI assessment

[1246] The server receives the data

[1247] The server receives the product information and photo data sent by the user, checks the integrity and format of the data, and converts it into the appropriate format.

[1248] AI performs the assessment

[1249] The AI ​​appraisal engine analyzes product information and photo data, and retrieves related information from a market database, taking into account the product's popularity, deterioration, market demand, and other factors to calculate a fair appraisal price.

[1250] Sending assessment results

[1251] The server sends the calculated appraisal price and detailed information based on the appraisal to the mobile information terminal, where the user can check the appraisal results.

[1252] Approval of the estimated price and shipping procedures

[1253] User checks the estimated price

[1254] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[1255] Shipping Procedures

[1256] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[1257] Arrival of goods, inspection, and remittance

[1258] The server confirms the arrival of the product

[1259] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[1260] Remittance procedure

[1261] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1262] Specific examples

[1263] Example: When a user sells a designer bag

[1264] 1. User enters product information and uploads photos

[1265] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[1266] 2. The server performs AI assessment

[1267] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[1268] 3. The user accepts the estimated price and completes the shipping procedure.

[1269] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[1270] 4. The server receives the product and inspects it.

[1271] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[1272] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[1273] The processing flow will be explained below.

[1274] Step 1:

[1275] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[1276] Step 2:

[1277] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[1278] Step 3:

[1279] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[1280] Step 4:

[1281] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[1282] Step 5:

[1283] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[1284] Step 6:

[1285] The user confirms the proposed estimated price. If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[1286] Step 7:

[1287] The server receives the user's approval, generates a delivery label and shipping instructions, and provides them to the user. The user then prints the delivery label, packs the product, and hands it over to the delivery company.

[1288] Step 8:

[1289] The server receives notification of the arrival of the product, and the arrival information is recorded in the database.

[1290] Step 9:

[1291] The server uses an AI management system to inspect the product and confirm that the condition of the product is as declared by the user.

[1292] Step 10:

[1293] If the inspection results are satisfactory, the server initiates the remittance procedure, and the assessed price is sent to the user as electronic money via the remittance system.

[1294] Step 11:

[1295] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[1296] Example 1

[1297] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1298] In the past, when users wanted to sell unwanted products, they had to bring them to an appraiser's store, which was time-consuming and laborious. Furthermore, manual appraisals tend to be subjective, making it difficult to calculate a fair price. The purpose of this invention is to solve these problems and provide a system that allows users to sell products quickly and at a fair price.

[1299] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1300] In this invention, the server includes means for a user to input product information and upload images using a mobile communications terminal, means for transmitting product information and image data from the mobile communications terminal to the server, means for the server to calculate an estimated price of the product using artificial intelligence based on market data, means for the server to return the estimation result to the mobile communications terminal and for the mobile communications terminal to display the estimation result to the user, means for starting the delivery procedure for the product if the user agrees with the estimated price, means for the server to confirm the arrival of the product and inspect the condition of the product, and means for the server to remit the estimated amount to the user in electronic money based on the inspection results. This allows the user to easily and quickly complete the process from product appraisal to sale using their mobile communications terminal and receive a fair estimated price.

[1301] "User" refers to an individual or corporation that utilizes the system of the present invention to request an appraisal and sell a product.

[1302] "Mobile communication terminal" refers to a portable information processing device that can connect to the Internet, such as a smartphone, tablet, or laptop computer.

[1303] "Product information" refers to attribute information necessary to identify a product, such as the product's brand name, category, model, purchase date, and usage status.

[1304] "Images" refers to photographic data that records the current state of the product, including the overall view of the product and details of specific parts.

[1305] "Server" refers to a central system for receiving and processing data from mobile communication terminals via the Internet.

[1306] "Market Data" refers to the collection of data necessary for assessing the price of a product, such as past transaction history, current market prices, and trends in supply and demand.

[1307] "Artificial intelligence" refers to algorithms and systems that use machine learning and data analysis techniques to automatically calculate the estimated price of a product.

[1308] "Evaluated price" refers to the fair selling price of the product calculated by artificial intelligence based on market data.

[1309] "Evaluation results" refers to the evaluated price and the analysis results and reference information used to arrive at that price.

[1310] "Shipping procedure" refers to the preparation and work to send the product to the server's designated location after the user agrees to the evaluation price.

[1311] "Inspection" refers to the process by which the server checks to ensure that the product received matches the user's declaration.

[1312] "Electronic money" refers to a digital currency or payment system for conducting transactions over the Internet.

[1313] MODE FOR CARRYING OUT THE INVENTION

[1314] This invention is a system that allows users to input product information and upload images using a mobile communication terminal, and calculates the appraisal price of the product using artificial intelligence based on a huge amount of market data. Specific embodiments of this invention are described below.

[1315] System Configuration

[1316] This system consists of the following elements:

[1317] 1. User Interface (UI)

[1318] An application that allows users to enter product information and upload images. This is an app that runs on a mobile device.

[1319] For example: dedicated applications for smartphones and tablets.

[1320] 2. Data transmission and reception module

[1321] A module for transmitting product information and image data from a mobile communication terminal to a server and receiving appraisal results.

[1322] Example: Data communication function using the HTTPS protocol.

[1323] 3. Server

[1324] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and image data.

[1325] Examples: Cloud servers using AWS servers or Google Cloud Platform.

[1326] 4. Artificial Intelligence (AI) Appraisal Engine

[1327] An AI engine built into the server calculates the product's appraisal price based on a huge amount of market data.

[1328] Example: Machine learning models using TensorFlow or PyTorch.

[1329] 5. Electronic Money Transfer System

[1330] A system that transfers the amount in electronic money to users who accept the assessed price.

[1331] Examples: Electronic money transfer services such as PayPal and Stripe.

[1332] Program processing

[1333] The program of this system performs the following processing.

[1334] Data entry and submission

[1335] The user uses the device

[1336] Users launch the app, enter information about the product they wish to sell, and take and upload a photo. For example, users can enter information such as the brand name, model, purchase date, and usage status, and then take a photo of the product and upload it to the app.

[1337] Data reception and AI assessment

[1338] The server receives the data

[1339] The server receives the product information and image data sent by the user and checks the consistency and format of each piece of data.

[1340] AI performs the assessment

[1341] The AI ​​appraisal engine analyzes product information and image data, and retrieves relevant information from a market database, taking into account the product's popularity, deterioration status, market demand, and other factors to calculate an appropriate appraisal price.

[1342] Sending assessment results

[1343] The calculated appraisal price and detailed information are sent from the server to the mobile communication terminal, where the user can check the appraisal results on the terminal.

[1344] Approval of the estimated price and shipping procedures

[1345] User checks the estimated price

[1346] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[1347] Shipping Procedures

[1348] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[1349] Arrival of goods, inspection, and remittance

[1350] The server confirms the arrival of the product

[1351] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it.

[1352] Remittance procedure

[1353] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1354] Prompt Sentence Examples

[1355] "I'd like to sell a designer bag. Please enter the following information: brand name, model, purchase date, and usage status, and upload a photo. Please explain the necessary procedures based on the appraisal results."

[1356] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[1357] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1358] Step 1: User launches the app, enters product information, takes a photo, and uploads it

[1359] Users launch a dedicated app on their mobile communication device (smartphone or tablet). The app's interface is intuitive and designed to be easy for users to use. Users enter participation information (e.g., brand name, model, purchase date, usage status), take a photo of the product using the device's camera, and upload it. The data entered here consists of text information and image data.

[1360] Input: Brand name, model, purchase date, usage, and product photo

[1361] Output: The entered product information and photos are saved in the app.

[1362] Step 2: The device sends product information and photo data to the server

[1363] When the user presses the "Send" button, the device sends the entered product information and photo data to the server. The data is sent using a secure communication protocol (e.g., HTTPS). The device checks the accuracy of the data and monitors its path to the server.

[1364] Input: Product information and photos stored in the app

[1365] Output: Product information and photo data sent to the server

[1366] Step 3: The server receives the product information and photo data and checks the integrity and format.

[1367] The server receives the product information and photo data sent by the user, then checks the data for consistency and formatting, for example, whether the photo resolution and information format meet the standards.

[1368] Input: Product information and photo data sent to the server

[1369] Output: Integrity-checked, well-formed data

[1370] Step 4: The server launches the AI ​​appraisal engine and analyzes the product information and photo data.

[1371] The server's artificial intelligence (AI) appraisal engine analyzes product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an appraisal price based on factors such as the product's popularity, deterioration status, and market demand. Machine learning models (e.g., using TensorFlow or PyTorch) are used here.

[1372] Input: Integrity-checked, correctly formatted data

[1373] Output: Calculated valuation price and detailed information based on the valuation

[1374] Step 5: The server sends the assessment results to the terminal, and the terminal displays the assessment results to the user.

[1375] The server sends the calculated valuation price and detailed valuation information to the user's device. The device receives this and displays the valuation results to the user. The display includes the price, the analysis results leading up to the price, and reference information.

[1376] Input: Calculated valuation price and detailed valuation information

[1377] Output: Assessment results and detailed information displayed on the terminal

[1378] Step 6: The user confirms the estimated price and selects "Accept" or "Request a re-evaluation"

[1379] The user checks the proposed estimated price and detailed information, and selects "Accept" or "Request re-evaluation." If the user approves the estimated price, he or she presses the "Accept" button. This information is sent to the server.

[1380] Input: Assessment results displayed on the terminal and user selection

[1381] Output: The user's choice (approval or reassessment request) is sent to the server.

[1382] Step 7: The server receives the authorization and provides the user with shipping instructions and a delivery label.

[1383] The server receives the approval information and provides the user with a delivery label and shipping instructions, which the user uses to package the product and send it via a delivery company to a warehouse designated by the server.

[1384] Input: User consent information

[1385] Output: Delivery label and shipping instructions to the user

[1386] Step 8: The server confirms the arrival of the product and inspects it.

[1387] The server's AI management system confirms the arrival of the product. After it arrives, the AI ​​system inspects the product and verifies that it is in the condition as reported by the user. For example, it automatically checks for scratches, discoloration, etc.

[1388] Input: Arrived product

[1389] Output: Inspection results

[1390] Step 9: The server transfers the assessed amount to the user as electronic money based on the inspection results.

[1391] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1392] Input: Inspection results

[1393] Output: The assessed amount transferred to the user's e-money account.

[1394] In this way, the system allows users to easily and quickly value and sell products through a series of processing steps.

[1395] (Application example 1)

[1396] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1397] In the past, selling unwanted products required a great deal of time and effort. For example, it was necessary to accurately record product information and repeatedly request expert estimates to obtain a fair appraisal price. Furthermore, after agreeing to the appraisal price, the process required shipping, product arrival, and inspection before finally receiving the sales proceeds, making for a very cumbersome process. Furthermore, in brick-and-mortar stores, if the staff did not have specialized knowledge of appraisals, the appraisal process took a long time, resulting in reduced efficiency.

[1398] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1399] In this invention, the server includes a means for a user to input product information and upload photos using a mobile information terminal, a means for transmitting product information and photo data from the mobile information terminal to the server, a means for the server to calculate an appraised price of the product using artificial intelligence based on a large amount of market data, and a means for the server to return the appraisal result to the mobile information terminal, which then displays the appraisal result to the user. This allows users to easily input product information and quickly obtain a fair appraised price. Furthermore, by having store staff and users cooperate to input product information, have an appraisal conducted on the spot, and immediately conclude a purchase contract if satisfied, the appraisal process in physical stores is made more efficient, enabling quick and accurate appraisals.

[1400] A "personal digital assistant" is an electronic device that a user can carry with them, and is a device that allows the user to input product information and upload photos.

[1401] "Product information" is detailed information about the product you wish to sell, including the brand name, model name, purchase date, condition, and so on.

[1402] "Photo data" refers to image data of a product that a user has taken a photo of using a mobile information terminal and uploaded.

[1403] "Server" means a central computing unit that transmits and receives data over the Internet and performs the calculations to calculate the assessed value of a product.

[1404] "Market Data" means information about past and current market trends and price movements, and is data necessary to calculate the assessed price of a product.

[1405] "Artificial intelligence" refers to algorithms and programs that use machine learning and data analysis techniques to calculate the optimal appraisal price based on product information.

[1406] The "assessed price" is the amount calculated based on the current market value of the product, and is the selling price offered to the user.

[1407] A "physical store" is a type of retail business that exists in a physical location and where customers can visit to purchase or appraise products.

[1408] A "purchase agreement" is a legal contract between a user and a store agreeing to sell a product based on an assessed price.

[1409] "Inspection results" are data showing the results of the server checking the condition of the product upon arrival and confirming whether it is as declared by the user.

[1410] "Electronic money" is currency stored in digital form and can be used for online or mobile payments.

[1411] This invention is a system that allows users to quickly appraise and sell unwanted brand-name goods, precious metals, watches, and other items using their personal mobile information terminals. This system is composed of the following elements:

[1412] 1. User Interface (UI)

[1413] Users enter product information through a dedicated application, take and upload photos of the product, and enter detailed information such as the brand name, model name, purchase date, and product condition.

[1414] 2. Data transmission and reception module

[1415] Product information and photo data are sent from the mobile information terminal to the server, and the appraisal results are received. This module communicates over the Internet using the HTTP protocol.

[1416] 3. Server

[1417] The server analyzes the received data and uses artificial intelligence to calculate the product's estimated price based on a vast amount of market data. This server includes multiple databases and AI engines (such as TensorFlow and PyTorch).

[1418] 4. Artificial Intelligence (AI) Appraisal Engine

[1419] The AI ​​engine built into the server calculates an appraisal price based on product information and photo data, taking into account past transaction data and market trends. This is done using a generative AI model.

[1420] 5. Notification of assessment results

[1421] The server returns the calculated valuation price and valuation details to the mobile information terminal, where the user can check the valuation results on their own terminal.

[1422] 6. Approval of the estimated price and shipping procedures

[1423] Once the user accepts the proposed valuation price, they can begin the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user packs the item and ships it to the specified warehouse.

[1424] 7. Arrival of goods, inspection, and remittance

[1425] The server confirms that the sent item has arrived and inspects the condition of the item. If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[1426] For example, if a user wants to sell a designer bag, the following steps are taken:

[1427] 1. The user launches the app, enters product information (brand name, model name, purchase date, condition), and takes and uploads a photo of the bag.

[1428] 2. The server analyzes the received information, and the AI ​​calculates the valuation price based on a huge amount of market data. For example, an valuation price of 25,000 yen is calculated instantly.

[1429] 3. The user checks the appraisal results and, if they agree with the price, packs the item and ships it to the designated warehouse.

[1430] 4. The product arrives at the warehouse, its condition is inspected, and if there are no problems, the server transfers 25,000 yen to the user in electronic money.

[1431] Example prompt sentence:

[1432] I would like to have my designer bag appraised. Brand: Louis Vuitton, Model: Neverfull GM, Purchase Date: 2021-03-15, Condition: Good. Please calculate the estimated price based on this information.

[1433] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1434] Step 1:

[1435] User interface data entry and photography

[1436] The user launches the app on their mobile information terminal and enters information about the item they want to sell (brand name, model name, purchase date, condition, etc.). They also take a photo of the item using the camera function of their mobile information terminal and upload it. The entered data and photo are sent to the server in the next step.

[1437] Input: Product information, photo data

[1438] Output: User entered information and uploaded photo

[1439] Step 2:

[1440] Data transmission

[1441] The mobile information terminal sends the input product information and photo data to the server. Data transmission is usually performed via the HTTP protocol.

[1442] Input: Product information, photo data

[1443] Output: Data is sent to the server correctly

[1444] Step 3:

[1445] Data reception and integrity check

[1446] The server receives the product information and photo data sent by the user, checks the integrity and format of the received data, and proceeds to the next step after confirming that the data has been received in the correct format.

[1447] Input: Product information, photo data

[1448] Output: Data with integrity checked

[1449] Step 4:

[1450] AI-based appraisal price calculation

[1451] An AI engine built into the server calculates the valuation price based on product information and photo data. This AI engine takes into account past transaction data and market trends to calculate the appropriate valuation price for the product. For example, a generative AI model can be used to reference prices of similar products from market data and analyze the condition of the product.

[1452] Input: Product information, photo data, past transaction data, market trend data

[1453] Output: Calculated valuation price

[1454] Step 5:

[1455] Return of assessment results

[1456] The server returns the calculated appraisal price and detailed information to the mobile information terminal, where the user can check the appraisal results on their own terminal.

[1457] Input: Estimated price, details

[1458] Output: The assessment results are displayed on the user's mobile device.

[1459] Step 6:

[1460] Approval of the estimated price and shipping procedures

[1461] If the user accepts the proposed bid, they initiate the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user then properly packages the item and ships it to the designated warehouse.

[1462] Input: Approval information for the assessed price

[1463] Output: Shipping instructions, delivery label

[1464] Step 7:

[1465] Checking and inspecting the arrival of goods

[1466] The server confirms that the delivered product has arrived at the warehouse and inspects the product condition. It verifies that the product condition is as declared by the user, and if there are no problems, it proceeds to the next step.

[1467] Input: Incoming goods, declared information

[1468] Output: Inspection results

[1469] Step 8:

[1470] Remittance procedure

[1471] If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[1472] Input: Final approval based on inspection

[1473] Output: The transferred amount is reflected in the user's account.

[1474] This series of steps allows users to efficiently appraise unwanted items and quickly sell them.

[1475] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1476] To put this invention into practice, it is necessary to build a system that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraisal price, while also combining the system with a function that recognizes the user's emotions and responds based on their reactions. A specific embodiment of the system is described below.

[1477] System Configuration

[1478] This system consists of the following elements:

[1479] 1. User Interface (UI)

[1480] An application that allows users to enter product information and upload photos. This application runs on a mobile information device.

[1481] 2. Data transmission and reception module

[1482] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[1483] 3. Server

[1484] A server containing multiple databases, an AI engine, and an emotion engine, which allows the system to quickly calculate a fair appraisal price based on product information and photo data, and analyzes user emotions to provide appropriate feedback.

[1485] 4. Artificial Intelligence (AI) Appraisal Engine

[1486] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[1487] 5. Emotion Engine

[1488] An emotion engine built into the server analyzes the user's emotional response to the assessment results and provides appropriate feedback and additional information.

[1489] 6. Electronic Money Transfer System

[1490] A system for transferring the amount in electronic money to users who have accepted the assessed price.

[1491] Program processing

[1492] Data entry and submission

[1493] The user uses the device

[1494] The user launches the app, enters information about the item they wish to sell, and then takes and uploads a photo. The information includes the brand name, model name, purchase date, condition, etc. Once the user has completed entering information and uploading the photo, they press the "Send" button to send the data from their device to the server.

[1495] Data reception and AI assessment

[1496] The server receives the data

[1497] The server receives the product information and photo data sent by the user, and then converts the data into a format suitable for analysis.

[1498] AI performs the assessment

[1499] The AI ​​engine uses product information and photo data to refer to a market database, taking into account information such as the product brand, model, condition, and market demand, and calculates an appraisal price.

[1500] Emotion Engine Analysis

[1501] The emotion engine analyzes the user's emotions regarding the assessment results from facial expressions and tone of voice, and determines whether the user is satisfied or dissatisfied.

[1502] Notification of assessment results and feedback

[1503] Sending assessment results

[1504] The calculated valuation price and detailed information are sent from the server to the mobile information terminal and displayed to the user. Depending on the user's emotions, appropriate feedback and additional information are displayed.

[1505] User Reactions

[1506] The user confirms the proposed valuation price, and the emotion engine further analyzes the user's reaction. For example, if the user is determined to be dissatisfied with the valuation price, the server can automatically provide additional valuation information or valuation results for similar products.

[1507] Approval of the estimated price and shipping procedures

[1508] User checks the estimated price

[1509] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[1510] Shipping Procedures

[1511] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[1512] Arrival of goods, inspection, and remittance

[1513] The server confirms the arrival of the product

[1514] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[1515] Remittance procedure

[1516] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1517] Specific examples

[1518] Example: When a user sells a designer bag

[1519] 1. User enters product information and uploads photos

[1520] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[1521] 2. The server performs AI assessment

[1522] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[1523] 3. Emotion engine analyzes user emotions

[1524] The server analyzes the user's feelings about the offered appraisal price, and if it determines that the user is dissatisfied, it provides feedback by presenting additional appraisal information and the purchasing experiences of other users.

[1525] 4. The user accepts the estimated price and completes the shipping procedure.

[1526] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[1527] 5. The server receives the product and inspects it.

[1528] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[1529] This allows the system to efficiently and quickly purchase users' unwanted items at a fair price, and provide feedback based on the user's emotions to improve the selling experience.

[1530] The processing flow will be explained below.

[1531] Step 1:

[1532] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[1533] Step 2:

[1534] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[1535] Step 3:

[1536] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[1537] Step 4:

[1538] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[1539] Step 5:

[1540] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[1541] Step 6:

[1542] The emotion engine analyzes the facial expressions and tone of voice of the user confirming the assessment results to recognize the user's emotions. The recognition results are classified into emotion categories such as "satisfied" and "dissatisfied."

[1543] Step 7:

[1544] The user confirms the quoted price, and the emotion engine further analyzes the user's reaction. For example, if the user expresses dissatisfaction with the quoted price, the server automatically provides the user with additional valuation information or valuation results for similar products.

[1545] Step 8:

[1546] If the user is satisfied with the estimated price, he or she presses the "Accept" button. The approval information is sent from the terminal to the server, and the server records the user's approval.

[1547] Step 9:

[1548] The server receives the approval information, generates a delivery label and shipping instructions, and provides them to the user. The user prints the delivery label, packages the product, and hands it over to the delivery company.

[1549] Step 10:

[1550] The server receives notification of the arrival of the goods and records the arrival information in the database, while the AI ​​management system simultaneously inspects the condition of the goods.

[1551] Step 11:

[1552] If the server finds no problems based on the inspection results, it starts the remittance procedure and remits the assessed price to the user as electronic money through the remittance system.

[1553] Step 12:

[1554] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[1555] Example 2

[1556] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1557] Previous systems for buying unwanted items had problems such as not being able to calculate the appraisal price of the item quickly enough, not providing feedback that took the user's feelings into consideration, and not being able to speed up the remittance process. These problems led to lower user satisfaction and a loss of system usability.

[1558] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving and analyzing product information and photo data, a means for calculating the assessed price of the product using artificial intelligence based on a huge amount of market data, and a means for analyzing the user's emotions. This makes it possible to quickly and accurately calculate the assessed price and provide feedback that takes the user's emotions into consideration.

[1559] A "personal digital assistant" is a device that can be carried by a user, can connect to the Internet, and has the function of executing applications.

[1560] "Product information" refers to all data related to a product, and specifically includes attribute information such as the brand name, model name, purchase date, and condition.

[1561] "Photo data" refers to an image file that visually shows the appearance of a product, and is taken using a terminal and uploaded to a server.

[1562] A "server" is a computer system that provides services over a network and has functions such as receiving, analyzing, storing, and transmitting data.

[1563] "Artificial intelligence" is a technology that simulates human-like intelligent behavior on a computer, and specifically includes algorithms that perform data analysis, prediction, classification, etc.

[1564] "Market Data" includes past and current trading information, price trends, supply and demand conditions, and other data used in valuing products.

[1565] The "assessed price" is a value obtained by evaluating the market value of the product and expressing it as a monetary amount, and is presented to the user.

[1566] "Emotion analysis" is the process of determining a user's psychological state from facial expressions, tone of voice, text data, etc., and assessing the user's satisfaction or dissatisfaction.

[1567] "Feedback" refers to reply information or advice provided to a user, and is generated based on the results of assessment and sentiment analysis.

[1568] The "shipping procedure" refers to a series of tasks required for sending the item that the user has approved for appraisal to a specified location, including generating a delivery label, packaging the item, and issuing shipping instructions.

[1569] "Inspection" is the process in which the server checks the condition of the product received, comparing the user's declaration with the actual condition of the product.

[1570] "Electronic money" refers to currency managed in digital form, which is sent and received through a network.

[1571] To put this invention into practice, we need to build a system that allows users to use their mobile information terminals to request appraisals for unwanted products (branded goods, precious metals, watches, etc.), receive a fair appraisal price, and quickly sell them. It is also necessary to combine this with a function that recognizes the user's emotions and provides feedback based on their reactions.

[1572] System Configuration

[1573] This system consists of the following elements:

[1574] 1. User Interface (UI)

[1575] An application that allows users to enter product information and upload photos. This application runs on a mobile information device.

[1576] 2. Data transmission and reception module

[1577] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[1578] 3. Server

[1579] A computer system that includes multiple databases, an AI engine, and an emotion engine. It quickly calculates a fair appraisal price based on product information and photo data, and analyzes user emotions to provide appropriate feedback.

[1580] 4. Artificial Intelligence (AI) Appraisal Engine

[1581] The AI ​​engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[1582] 5. Emotion Engine

[1583] An emotion engine built into the server analyzes the user's emotional response to the assessment results and provides appropriate feedback and additional information.

[1584] 6. Electronic Money Transfer System

[1585] A system for transferring the amount in electronic money to users who have accepted the assessed price.

[1586] Data entry and submission

[1587] The user uses the device

[1588] The user launches the dedicated application, enters information about the item they wish to sell, and takes and uploads a photo. The information entered includes the brand name, model name, purchase date, condition, etc. Once the information has been entered and the photo uploaded, the user presses the "Send" button to send the data from their device to the server.

[1589] Data reception and AI assessment

[1590] The server receives the data

[1591] The server receives the product information and photo data sent by the user, and then converts the data into a format that is easy to analyze.

[1592] AI performs the assessment

[1593] The AI ​​engine uses product information and photo data to refer to a market database, taking into account information such as the product brand, model, condition, and market demand, and calculates an appraisal price.

[1594] Emotion Engine Analysis

[1595] The emotion engine analyzes the user's emotions regarding the assessment results and determines whether the user is satisfied or dissatisfied.

[1596] Notification of assessment results and feedback

[1597] Sending assessment results

[1598] The calculated valuation price and detailed information are sent from the server to the mobile information terminal and displayed to the user. Depending on the user's emotions, appropriate feedback and additional information are displayed.

[1599] User Reactions

[1600] The user confirms the proposed valuation price, and the emotion engine further analyzes the user's reaction. For example, if the user is determined to be dissatisfied with the valuation price, the server can automatically provide additional valuation information or valuation results for similar products.

[1601] Approval of the estimated price and shipping procedures

[1602] User checks the estimated price

[1603] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[1604] Shipping Procedures

[1605] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[1606] Arrival of goods, inspection, and remittance

[1607] The server confirms the arrival of the product

[1608] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[1609] Remittance procedure

[1610] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1611] Specific examples

[1612] Example: When a user sells a designer bag

[1613] 1. User enters product information and uploads photos

[1614] The user starts the app on their mobile device and inputs the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[1615] 2. The server performs AI assessment

[1616] The server receives the information, and the AI ​​instantly calculates an estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[1617] 3. Emotion engine analyzes user emotions

[1618] The server analyzes the user's feelings about the offered appraisal price, and if it determines that the user is dissatisfied, it provides feedback by presenting additional appraisal information and the purchasing experiences of other users.

[1619] 4. The user accepts the estimated price and completes the shipping procedure.

[1620] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the item is packed and shipped via a courier.

[1621] 5. The server receives the product and inspects it.

[1622] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[1623] In this way, the system can buy back unwanted items quickly and at a fair price, and provide feedback based on the user's responses to improve the selling experience.

[1624] Prompt Sentence Examples

[1625] Below is an example of a prompt sentence to input to the generative AI model.

[1626] Enter product information: Enter the following information into the smartphone app: "Brand bag," "Model name," "Purchase date," and "Whether there are any scratches or fading."

[1627] Photo Upload: Take and upload a photo of the entire bag, including the front, bottom, and inside.

[1628] AI appraisal: The server's AI calculates the appraisal price based on the product information and photos, and returns the appraisal result to the mobile information terminal. The appraisal price is "25,000 yen."

[1629] Sentiment analysis: The server's emotion engine analyzes the user's sentiment regarding the valuation price. If the user is dissatisfied, the server provides additional valuation information and offers suggestions.

[1630] Shipping procedure: The user accepts the estimated price, follows instructions from the server to pack the item, and hands it over to the delivery company.

[1631] Product inspection: After the product arrives, the AI ​​management system on the server inspects it. If there are no problems, the estimated amount is transferred to the user. The user can check the amount in their electronic money account.

[1632] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1633] Step 1:

[1634] The user uses the device

[1635] Users launch a dedicated application on their mobile information terminal, enter information about the item they wish to sell, take a photo, and upload it. The information entered includes the brand name, model name, purchase date, condition, etc.

[1636] Input: Product information entered by the user and photo data taken

[1637] Processing: The terminal formats the input data and prepares it for transmission.

[1638] Output: Formatted product information and photo data

[1639] Specific behavior:

[1640] The user opens the app.

[1641] Enter the "brand name," "model name," "purchase date," and "product condition" in the input form.

[1642] Press the photo button to take a photo of the product and upload it.

[1643] Click the "Submit" button to send the data to the server.

[1644] Step 2:

[1645] The server receives the data

[1646] The server receives the product information and photo data sent by the user, and then converts the data into a format that is easy to analyze.

[1647] Input: Product information and photo data sent by the user

[1648] Processing: The server formats the data and stores it in the database.

[1649] Output: Formatted and saved product information and photo data

[1650] Specific behavior:

[1651] The server receives the data as an HTTP request.

[1652] Parse product information and photo data into JSON format.

[1653] Save the data to a database.

[1654] Step 3:

[1655] AI performs the assessment

[1656] An AI engine built into the server references a market database based on product information and photo data to calculate the appraisal price.

[1657] Input: Formatted and saved product information, photo data, market data

[1658] Processing: An AI engine calculates the estimated value based on brand, model, condition, and market data.

[1659] Output: Appraised price

[1660] Specific behavior:

[1661] The AI ​​engine retrieves product data.

[1662] The appraisal price is calculated using an algorithm based on market data.

[1663] The calculated valuation price is saved.

[1664] Step 4:

[1665] Emotion Engine Analysis

[1666] An emotion engine built into the server analyzes the user's emotions regarding the assessment results.

[1667] Input: Estimated price, user emotion data

[1668] Processing: The emotion engine analyzes the user's emotions from their facial expressions and tone of voice to determine their level of satisfaction.

[1669] Output: Sentiment analysis results, feedback message

[1670] Specific behavior:

[1671] The emotion engine analyzes facial expressions and tone of voice from video and audio data.

[1672] Calculate a satisfaction / dissatisfaction score.

[1673] Generate a feedback message.

[1674] Step 5:

[1675] Sending assessment results

[1676] The calculated appraisal price and feedback based on the emotion analysis results are sent from the server to the mobile information terminal and displayed to the user.

[1677] Input: Estimated price, sentiment analysis results, feedback message

[1678] Processing: The server sends the assessment results and feedback to the mobile information device.

[1679] Output: Display the quoted price and feedback

[1680] Specific behavior:

[1681] The server sends the assessment result and a feedback message to the terminal.

[1682] The mobile information terminal displays the received data.

[1683] Step 6:

[1684] User Reactions

[1685] The user reviews the proposed valuation, and the emotion engine performs further analysis based on the user's response.

[1686] Input: Display of estimated price, user response data

[1687] Processing: The emotion engine analyzes the user's new emotion data and generates additional information as needed.

[1688] Output: Final feedback message

[1689] Specific behavior:

[1690] Users respond to the valuation price.

[1691] The server receives the new reaction data and reanalyzes it.

[1692] The server generates a final feedback message and sends it to the terminal.

[1693] Step 7:

[1694] User checks the estimated price

[1695] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[1696] Input: User authorization information

[1697] Processing: The terminal sends the authorization data to the server.

[1698] Output: Instruction to start shipping procedure

[1699] Specific behavior:

[1700] The user presses the "Accept" button.

[1701] The authorization data is sent to the server.

[1702] Step 8:

[1703] Shipping Procedures

[1704] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[1705] Input: User authorization information

[1706] Processing: The server generates a delivery label and shipping instructions and sends them to the terminal.

[1707] Output: Delivery label and shipping instructions

[1708] Specific behavior:

[1709] The server generates a delivery label and shipping instructions and sends them to the terminal.

[1710] The user prints the delivery label and packs the item.

[1711] Hand over the product to the courier.

[1712] Step 9:

[1713] The server confirms the arrival of the product

[1714] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it.

[1715] Input: Product arrival information

[1716] Processing: The AI ​​management system inspects the product condition and updates the database.

[1717] Output: Inspection results

[1718] Specific behavior:

[1719] The product arrives at the warehouse and the arrival confirmation process is executed.

[1720] The AI ​​management system inspects the condition of the products.

[1721] The inspection results are saved in the database.

[1722] Step 10:

[1723] Remittance procedure

[1724] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1725] Input: Inspection results

[1726] Processing: The server executes the remittance process.

[1727] Output: Remittance confirmation

[1728] Specific behavior:

[1729] If the inspection results are deemed to be satisfactory, the server requests the electronic money transfer system to process the transfer.

[1730] The assessed amount will be transferred to the user's electronic money account.

[1731] The user confirms the transfer.

[1732] (Application example 2)

[1733] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1734] Conventional appraisal systems for luxury goods, precious metals, watches, etc. respond uniformly without considering the user's feelings regarding the appraised price. As a result, even if the user is dissatisfied with the appraised price, they are unable to provide appropriate feedback or additional information, resulting in a poor user experience. There was also a need for a system that would quickly and accurately calculate an appraised price, allowing users to proceed with the selling process with peace of mind.

[1735] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the user's emotions and determining how the user feels about the appraisal result, means for starting the shipping procedure for the item if the user accepts the appraised price, and means for the server to confirm the arrival of the item and inspect the condition of the item. This makes it possible to take into account the user's emotions about the appraised price and provide appropriate feedback and additional information. Furthermore, a quick and fair appraisal price is calculated and smooth remittance processing using electronic currency is achieved, allowing the user to proceed with the selling procedure with peace of mind.

[1736] A "mobile information terminal" is an electronic device that can be carried and used by a user, and includes smartphones, tablets, and the like.

[1737] "Product information" refers to detailed information about the item being appraised, such as the brand name, model name, purchase date, and condition.

[1738] "Photo" refers to image data of a product taken using the camera function of a mobile information terminal.

[1739] A "server" is a remote computer system that receives and sends data and executes processes over a network.

[1740] "Artificial intelligence" refers to programs and systems that perform various analyses and judgments based on large amounts of data.

[1741] "Appraised value" refers to the estimated value of the product calculated based on the submitted product information and photos.

[1742] "Emotion analysis" refers to the process of analyzing information such as a user's facial expression and tone of voice to determine their emotional state.

[1743] "Feedback" refers to additional information or comments provided based on analysis results and user responses.

[1744] "Electronic currency" means currency traded in digital form, including digital assets such as electronic money.

[1745] "Inspection" refers to the process of checking the condition of the product and assessing whether the information provided matches its actual condition.

[1746] To implement this invention, the following hardware and software must be used in combination. The main components include a mobile information terminal, a server, an AI engine, an emotion engine, and an electronic currency remittance system.

[1747] System Configuration

[1748] 1. Mobile Information Terminals

[1749] A personal digital assistant (PDAs) is a device that runs an application that allows users to enter product information and upload photos. This includes smartphones and tablets. Users use the device to enter product information such as brand name, model name, purchase date, and condition, and take photos of the product to upload to the application.

[1750] 2. Server

[1751] The server receives the product information and photo data sent from the device and calculates the appraisal price based on this. The server is equipped with an AI engine that utilizes a huge amount of market data and an emotion engine that analyzes user emotions.

[1752] 3. AI Engine

[1753] The AI ​​engine is developed using Python or other high-level programming languages, such as machine learning frameworks like TensorFlow and Keras. It uses product information and photo data to reference market data, and takes into account the product's brand, model, condition, market trends, and past transaction data to quickly calculate a fair appraisal price.

[1754] 4. Emotion Engine

[1755] The emotion engine is a software module for analyzing the user's emotions regarding the assessment results. Emotion analysis utilizes data on the user's facial expressions and voice tone. For example, OpenCV and the face_recognition library are used to detect the user's facial expressions, and a pre-trained emotion recognition model using Keras is used to perform the analysis.

[1756] 5. Electronic Currency Transfer System

[1757] The server inspects the condition of the product after it arrives and transfers the estimated value to the user in electronic currency based on the inspection results. The electronic currency transfer can be carried out using, for example, PayPal or other electronic currency platforms.

[1758] Specific examples

[1759] The specific steps a user takes to sell a brand bag are as follows:

[1760] 1. Enter product information and upload photos

[1761] The user launches the application on their mobile information terminal, enters the brand name "Chanel," the model name "Classic Flap Bag," the purchase date "2021-01-01," and the condition "Like New," and then takes and uploads a photo of the bag.

[1762] 2. AI-based appraisal

[1763] The server receives the information, and the AI ​​engine calculates the estimated price of 25,000 yen based on market price data. The result is sent back to the device and displayed to the user.

[1764] 3. Emotion analysis

[1765] The emotion engine analyzes the user's facial expression in response to the appraisal result, and if it determines that the user is dissatisfied, the server provides additional appraisal information or the purchasing experiences of other users.

[1766] 4. Product shipping procedures

[1767] The user accepts the estimated price and begins the shipping process. Following instructions from the server, the product is packaged and handed over to the delivery company.

[1768] 5. Arrival of product and payment procedure

[1769] The product arrives at the server-managed warehouse and is inspected. If there are no problems, 25,000 yen is transferred to the electronic money account.

[1770] Prompt Sentence Examples

[1771] The user input and prompts are as follows:

[1772] Example product information:

[1773] Brand Name: Chanel

[1774] Model Name: Classic Flap Bag

[1775] Purchase date: 2021-01-01

[1776] Condition: Like new

[1777] Example prompt sentence:

[1778] You are the developer of an AI system that quickly calculates the estimated value of a designer bag based on photos and information uploaded by users. If users are dissatisfied, you have also built a system that allows them to provide additional information and feedback. Please use the following information to make an estimate:

[1779] Brand Name: Chanel

[1780] Model Name: Classic Flap Bag

[1781] Purchase date: 2021-01-01

[1782] Condition: Like new

[1783] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1784] Step 1:

[1785] A user launches an application on a mobile information terminal, inputs product information, and takes and uploads a photo. The input product information includes the brand name, model name, purchase date, condition, etc. The photo data is used to visually represent the product details. The input for this step is the product information and photo data, and the output is these data stored on the mobile information terminal.

[1786] Step 2:

[1787] The device sends product information and photo data to the server using an HTTP request, and the data is packaged in JSON format. The input of this step is the product information and photo data, and the output is the data sent to the server.

[1788] Step 3:

[1789] The server receives product information and photo data and converts the data into a format suitable for analysis. The server parses the received data, accesses the market database, and prepares it for analysis by the AI ​​engine. The input for this step is the received product information and photo data, and the output is data converted into a format that the AI ​​engine can use.

[1790] Step 4:

[1791] The AI ​​engine built into the server references market data based on product information and photo data to calculate an appraised price. Specifically, it considers product brand, model, condition, market trends, past transaction data, etc., and applies an AI algorithm to derive an appropriate appraised price. The input for this step is the converted product information and photo data, and the output is the calculated appraised price.

[1792] Step 5:

[1793] The emotion engine built into the server receives additional data from the mobile device (user's facial image and voice samples) to analyze the user's emotions towards the assessment results from their facial expressions and voice tone. The server uses a model for emotion analysis to determine the user's satisfaction or dissatisfaction. The input for this step is the facial image and voice samples, and the output is the user's emotional state.

[1794] Step 6:

[1795] The server generates an appraisal result and feedback based on the calculated appraisal price and the user's emotional state, and sends them back to the terminal. The appraisal result notification reflects the results of the emotion analysis, and if the user is not satisfied, it includes additional appraisal information and customer feedback. The inputs to this step are the appraisal price and the user's emotional state, and the output is the appraisal result and feedback sent back to the mobile information terminal.

[1796] Step 7:

[1797] The user checks the appraisal result, and if they agree with the appraised price, they press the "Agree" button to begin the shipping procedure for the item. The mobile information terminal sends the approval information to the server, and the server generates a delivery label and shipping instructions and provides them to the user. The input to this step is the user's approval information, and the output is a delivery label and shipping instructions.

[1798] Step 8:

[1799] The user packs the product and completes the shipping procedure using the provided delivery label. The product is sent to a server-managed warehouse via a delivery company. The input of this step is the packed product, and the output is the shipped product.

[1800] Step 9:

[1801] When a product arrives at a server-managed warehouse, the server's AI management system confirms the arrival of the product and performs an inspection. During inspection, the product is checked to ensure it is in the condition declared by the user, and if there are no problems, it proceeds to the next processing step. The input to this step is the arrived product, and the output is the inspection result.

[1802] Step 10:

[1803] If the inspection result is satisfactory, the server transfers the assessed amount to the user through an electronic currency transfer system. This transfer process can be performed using, for example, the PayPal API for Python. The input of this step is the inspection result, and the output is the transferred assessed amount.

[1804] The above is the specific processing flow for carrying out the invention.

[1805] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1806] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1807] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1808] [Fourth embodiment]

[1809] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1810] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1811] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1812] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1813] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1814] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1815] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1816] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1817] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1818] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1819] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1820] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1821] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1822] To put this invention into practice, a system is constructed that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraised price. Specific embodiments of the system are described below.

[1823] System Configuration

[1824] This system consists of the following elements:

[1825] 1. User Interface (UI)

[1826] An application that allows users to enter product information and upload photos. This is an app that runs on a mobile information terminal.

[1827] 2. Data transmission and reception module

[1828] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[1829] 3. Server

[1830] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and photo data.

[1831] 4. Artificial Intelligence (AI) Appraisal Engine

[1832] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[1833] 5. Electronic Money Transfer System

[1834] A system that transfers the amount in electronic money to users who accept the assessed price.

[1835] Program processing

[1836] Data entry and submission

[1837] The user uses the device

[1838] Users launch the app, enter information about the item they wish to sell, and then take and upload a photo. They are prompted to enter details such as the product's brand, model, purchase date, and usage status. Once the information is entered and the photo is uploaded, the user presses the "Submit" button, which sends the item information and photo to the server.

[1839] Data reception and AI assessment

[1840] The server receives the data

[1841] The server receives the product information and photo data sent by the user, checks the integrity and format of the data, and converts it into the appropriate format.

[1842] AI performs the assessment

[1843] The AI ​​appraisal engine analyzes product information and photo data, and retrieves related information from a market database, taking into account the product's popularity, deterioration, market demand, and other factors to calculate a fair appraisal price.

[1844] Sending assessment results

[1845] The server sends the calculated appraisal price and detailed information based on the appraisal to the mobile information terminal, where the user can check the appraisal results.

[1846] Approval of the estimated price and shipping procedures

[1847] User checks the estimated price

[1848] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[1849] Shipping Procedures

[1850] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[1851] Arrival of goods, inspection, and remittance

[1852] The server confirms the arrival of the product

[1853] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[1854] Remittance procedure

[1855] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1856] Specific examples

[1857] Example: When a user sells a designer bag

[1858] 1. User enters product information and uploads photos

[1859] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[1860] 2. The server performs AI assessment

[1861] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[1862] 3. The user accepts the estimated price and completes the shipping procedure.

[1863] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[1864] 4. The server receives the product and inspects it.

[1865] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[1866] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[1867] The processing flow will be explained below.

[1868] Step 1:

[1869] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[1870] Step 2:

[1871] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[1872] Step 3:

[1873] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[1874] Step 4:

[1875] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[1876] Step 5:

[1877] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[1878] Step 6:

[1879] The user confirms the proposed estimated price. If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[1880] Step 7:

[1881] The server receives the user's approval, generates a delivery label and shipping instructions, and provides them to the user. The user then prints the delivery label, packs the product, and hands it over to the delivery company.

[1882] Step 8:

[1883] The server receives notification of the arrival of the product, and the arrival information is recorded in the database.

[1884] Step 9:

[1885] The server uses an AI management system to inspect the product and confirm that the condition of the product is as declared by the user.

[1886] Step 10:

[1887] If the inspection results are satisfactory, the server initiates the remittance procedure, and the assessed price is sent to the user as electronic money via the remittance system.

[1888] Step 11:

[1889] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[1890] Example 1

[1891] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1892] In the past, when users wanted to sell unwanted products, they had to bring them to an appraiser's store, which was time-consuming and laborious. Furthermore, manual appraisals tend to be subjective, making it difficult to calculate a fair price. The purpose of this invention is to solve these problems and provide a system that allows users to sell products quickly and at a fair price.

[1893] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1894] In this invention, the server includes means for a user to input product information and upload images using a mobile communications terminal, means for transmitting product information and image data from the mobile communications terminal to the server, means for the server to calculate an estimated price of the product using artificial intelligence based on market data, means for the server to return the estimation result to the mobile communications terminal and for the mobile communications terminal to display the estimation result to the user, means for starting the delivery procedure for the product if the user agrees with the estimated price, means for the server to confirm the arrival of the product and inspect the condition of the product, and means for the server to remit the estimated amount to the user in electronic money based on the inspection results. This allows the user to easily and quickly complete the process from product appraisal to sale using their mobile communications terminal and receive a fair estimated price.

[1895] "User" refers to an individual or corporation that utilizes the system of the present invention to request an appraisal and sell a product.

[1896] "Mobile communication terminal" refers to a portable information processing device that can connect to the Internet, such as a smartphone, tablet, or laptop computer.

[1897] "Product information" refers to attribute information necessary to identify a product, such as the product's brand name, category, model, purchase date, and usage status.

[1898] "Images" refers to photographic data that records the current state of the product, including the overall view of the product and details of specific parts.

[1899] "Server" refers to a central system for receiving and processing data from mobile communication terminals via the Internet.

[1900] "Market Data" refers to the collection of data necessary for assessing the price of a product, such as past transaction history, current market prices, and trends in supply and demand.

[1901] "Artificial intelligence" refers to algorithms and systems that use machine learning and data analysis techniques to automatically calculate the estimated price of a product.

[1902] "Evaluated price" refers to the fair selling price of the product calculated by artificial intelligence based on market data.

[1903] "Evaluation results" refers to the evaluated price and the analysis results and reference information used to arrive at that price.

[1904] "Shipping procedure" refers to the preparation and work to send the product to the server's designated location after the user agrees to the evaluation price.

[1905] "Inspection" refers to the process by which the server checks to ensure that the product received matches the user's declaration.

[1906] "Electronic money" refers to a digital currency or payment system for conducting transactions over the Internet.

[1907] MODE FOR CARRYING OUT THE INVENTION

[1908] This invention is a system that allows users to input product information and upload images using a mobile communication terminal, and calculates the appraisal price of the product using artificial intelligence based on a huge amount of market data. Specific embodiments of this invention are described below.

[1909] System Configuration

[1910] This system consists of the following elements:

[1911] 1. User Interface (UI)

[1912] An application that allows users to enter product information and upload images. This is an app that runs on a mobile device.

[1913] For example: dedicated applications for smartphones and tablets.

[1914] 2. Data transmission and reception module

[1915] A module for transmitting product information and image data from a mobile communication terminal to a server and receiving appraisal results.

[1916] Example: Data communication function using the HTTPS protocol.

[1917] 3. Server

[1918] It includes multiple databases and an AI engine, which allows it to quickly calculate a fair appraisal price based on product information and image data.

[1919] Examples: Cloud servers using AWS servers or Google Cloud Platform.

[1920] 4. Artificial Intelligence (AI) Appraisal Engine

[1921] An AI engine built into the server calculates the product's appraisal price based on a huge amount of market data.

[1922] Example: Machine learning models using TensorFlow or PyTorch.

[1923] 5. Electronic Money Transfer System

[1924] A system that transfers the amount in electronic money to users who accept the assessed price.

[1925] Examples: Electronic money transfer services such as PayPal and Stripe.

[1926] Program processing

[1927] The program of this system performs the following processing.

[1928] Data entry and submission

[1929] The user uses the device

[1930] Users launch the app, enter information about the product they wish to sell, and take and upload a photo. For example, users can enter information such as the brand name, model, purchase date, and usage status, and then take a photo of the product and upload it to the app.

[1931] Data reception and AI assessment

[1932] The server receives the data

[1933] The server receives the product information and image data sent by the user and checks the consistency and format of each piece of data.

[1934] AI performs the assessment

[1935] The AI ​​appraisal engine analyzes product information and image data, and retrieves relevant information from a market database, taking into account the product's popularity, deterioration status, market demand, and other factors to calculate an appropriate appraisal price.

[1936] Sending assessment results

[1937] The calculated appraisal price and detailed information are sent from the server to the mobile communication terminal, where the user can check the appraisal results on the terminal.

[1938] Approval of the estimated price and shipping procedures

[1939] User checks the estimated price

[1940] The user checks the proposed appraisal price and detailed information, and selects the option to "Accept" or "Request re-evaluation." If the user approves the appraisal price, he or she presses the "Accept" button.

[1941] Shipping Procedures

[1942] The server receives the approval information and provides the user with a delivery label and shipping instructions. The user then properly packages the product and sends it via a delivery company to a warehouse designated by the server.

[1943] Arrival of goods, inspection, and remittance

[1944] The server confirms the arrival of the product

[1945] When the product arrives at the server's warehouse, the AI ​​management system automatically confirms the arrival of the product and inspects it.

[1946] Remittance procedure

[1947] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1948] Prompt Sentence Examples

[1949] "I'd like to sell a designer bag. Please enter the following information: brand name, model, purchase date, and usage status, and upload a photo. Please explain the necessary procedures based on the appraisal results."

[1950] In this way, the system provides a mechanism for efficiently and quickly purchasing unwanted items from users at a fair price and receiving payment immediately.

[1951] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1952] Step 1: User launches the app, enters product information, takes a photo, and uploads it

[1953] Users launch a dedicated app on their mobile communication device (smartphone or tablet). The app's interface is intuitive and designed to be easy for users to use. Users enter participation information (e.g., brand name, model, purchase date, usage status), take a photo of the product using the device's camera, and upload it. The data entered here consists of text information and image data.

[1954] Input: Brand name, model, purchase date, usage, and product photo

[1955] Output: The entered product information and photos are saved in the app.

[1956] Step 2: The device sends product information and photo data to the server

[1957] When the user presses the "Send" button, the device sends the entered product information and photo data to the server. The data is sent using a secure communication protocol (e.g., HTTPS). The device checks the accuracy of the data and monitors its path to the server.

[1958] Input: Product information and photos stored in the app

[1959] Output: Product information and photo data sent to the server

[1960] Step 3: The server receives the product information and photo data and checks the integrity and format.

[1961] The server receives the product information and photo data sent by the user, then checks the data for consistency and formatting, for example, whether the photo resolution and information format meet the standards.

[1962] Input: Product information and photo data sent to the server

[1963] Output: Integrity-checked, well-formed data

[1964] Step 4: The server launches the AI ​​appraisal engine and analyzes the product information and photo data.

[1965] The server's artificial intelligence (AI) appraisal engine analyzes product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an appraisal price based on factors such as the product's popularity, deterioration status, and market demand. Machine learning models (e.g., using TensorFlow or PyTorch) are used here.

[1966] Input: Integrity-checked, correctly formatted data

[1967] Output: Calculated valuation price and detailed information based on the valuation

[1968] Step 5: The server sends the assessment results to the terminal, and the terminal displays the assessment results to the user.

[1969] The server sends the calculated valuation price and detailed valuation information to the user's device. The device receives this and displays the valuation results to the user. The display includes the price, the analysis results leading up to the price, and reference information.

[1970] Input: Calculated valuation price and detailed valuation information

[1971] Output: Assessment results and detailed information displayed on the terminal

[1972] Step 6: The user confirms the estimated price and selects "Accept" or "Request a re-evaluation"

[1973] The user checks the proposed estimated price and detailed information, and selects "Accept" or "Request re-evaluation." If the user approves the estimated price, he or she presses the "Accept" button. This information is sent to the server.

[1974] Input: Assessment results displayed on the terminal and user selection

[1975] Output: The user's choice (approval or reassessment request) is sent to the server.

[1976] Step 7: The server receives the authorization and provides the user with shipping instructions and a delivery label.

[1977] The server receives the approval information and provides the user with a delivery label and shipping instructions, which the user uses to package the product and send it via a delivery company to a warehouse designated by the server.

[1978] Input: User consent information

[1979] Output: Delivery label and shipping instructions to the user

[1980] Step 8: The server confirms the arrival of the product and inspects it.

[1981] The server's AI management system confirms the arrival of the product. After it arrives, the AI ​​system inspects the product and verifies that it is in the condition as reported by the user. For example, it automatically checks for scratches, discoloration, etc.

[1982] Input: Arrived product

[1983] Output: Inspection results

[1984] Step 9: The server transfers the assessed amount to the user as electronic money based on the inspection results.

[1985] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user through the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[1986] Input: Inspection results

[1987] Output: The assessed amount transferred to the user's e-money account.

[1988] In this way, the system allows users to easily and quickly value and sell products through a series of processing steps.

[1989] (Application example 1)

[1990] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1991] In the past, selling unwanted products required a great deal of time and effort. For example, it was necessary to accurately record product information and repeatedly request expert estimates to obtain a fair appraisal price. Furthermore, after agreeing to the appraisal price, the process required shipping, product arrival, and inspection before finally receiving the sales proceeds, making for a very cumbersome process. Furthermore, in brick-and-mortar stores, if the staff did not have specialized knowledge of appraisals, the appraisal process took a long time, resulting in reduced efficiency.

[1992] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1993] In this invention, the server includes a means for a user to input product information and upload photos using a mobile information terminal, a means for transmitting product information and photo data from the mobile information terminal to the server, a means for the server to calculate an appraised price of the product using artificial intelligence based on a large amount of market data, and a means for the server to return the appraisal result to the mobile information terminal, which then displays the appraisal result to the user. This allows users to easily input product information and quickly obtain a fair appraised price. Furthermore, by having store staff and users cooperate to input product information, have an appraisal conducted on the spot, and immediately conclude a purchase contract if satisfied, the appraisal process in physical stores is made more efficient, enabling quick and accurate appraisals.

[1994] A "personal digital assistant" is an electronic device that a user can carry with them, and is a device that allows the user to input product information and upload photos.

[1995] "Product information" is detailed information about the product you wish to sell, including the brand name, model name, purchase date, condition, and so on.

[1996] "Photo data" refers to image data of a product that a user has taken a photo of using a mobile information terminal and uploaded.

[1997] "Server" means a central computing unit that transmits and receives data over the Internet and performs the calculations to calculate the assessed value of a product.

[1998] "Market Data" means information about past and current market trends and price movements, and is data necessary to calculate the assessed price of a product.

[1999] "Artificial intelligence" refers to algorithms and programs that use machine learning and data analysis techniques to calculate the optimal appraisal price based on product information.

[2000] The "assessed price" is the amount calculated based on the current market value of the product, and is the selling price offered to the user.

[2001] A "physical store" is a type of retail business that exists in a physical location and where customers can visit to purchase or appraise products.

[2002] A "purchase agreement" is a legal contract between a user and a store agreeing to sell a product based on an assessed price.

[2003] "Inspection results" are data showing the results of the server checking the condition of the product upon arrival and confirming whether it is as declared by the user.

[2004] "Electronic money" is currency stored in digital form and can be used for online or mobile payments.

[2005] This invention is a system that allows users to quickly appraise and sell unwanted brand-name goods, precious metals, watches, and other items using their personal mobile information terminals. This system is composed of the following elements:

[2006] 1. User Interface (UI)

[2007] Users enter product information through a dedicated application, take and upload photos of the product, and enter detailed information such as the brand name, model name, purchase date, and product condition.

[2008] 2. Data transmission and reception module

[2009] Product information and photo data are sent from the mobile information terminal to the server, and the appraisal results are received. This module communicates over the Internet using the HTTP protocol.

[2010] 3. Server

[2011] The server analyzes the received data and uses artificial intelligence to calculate the product's estimated price based on a vast amount of market data. This server includes multiple databases and AI engines (such as TensorFlow and PyTorch).

[2012] 4. Artificial Intelligence (AI) Appraisal Engine

[2013] The AI ​​engine built into the server calculates an appraisal price based on product information and photo data, taking into account past transaction data and market trends. This is done using a generative AI model.

[2014] 5. Notification of assessment results

[2015] The server returns the calculated valuation price and valuation details to the mobile information terminal, where the user can check the valuation results on their own terminal.

[2016] 6. Approval of the estimated price and shipping procedures

[2017] Once the user accepts the proposed valuation price, they can begin the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user packs the item and ships it to the specified warehouse.

[2018] 7. Arrival of goods, inspection, and remittance

[2019] The server confirms that the sent item has arrived and inspects the condition of the item. If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[2020] For example, if a user wants to sell a designer bag, the following steps are taken:

[2021] 1. The user launches the app, enters product information (brand name, model name, purchase date, condition), and takes and uploads a photo of the bag.

[2022] 2. The server analyzes the received information, and the AI ​​calculates the valuation price based on a huge amount of market data. For example, an valuation price of 25,000 yen is calculated instantly.

[2023] 3. The user checks the appraisal results and, if they agree with the price, packs the item and ships it to the designated warehouse.

[2024] 4. The product arrives at the warehouse, its condition is inspected, and if there are no problems, the server transfers 25,000 yen to the user in electronic money.

[2025] Example prompt sentence:

[2026] I would like to have my designer bag appraised. Brand: Louis Vuitton, Model: Neverfull GM, Purchase Date: 2021-03-15, Condition: Good. Please calculate the estimated price based on this information.

[2027] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[2028] Step 1:

[2029] User interface data entry and photography

[2030] The user launches the app on their mobile information terminal and enters information about the item they want to sell (brand name, model name, purchase date, condition, etc.). They also take a photo of the item using the camera function of their mobile information terminal and upload it. The entered data and photo are sent to the server in the next step.

[2031] Input: Product information, photo data

[2032] Output: User entered information and uploaded photo

[2033] Step 2:

[2034] Data transmission

[2035] The mobile information terminal sends the input product information and photo data to the server. Data transmission is usually performed via the HTTP protocol.

[2036] Input: Product information, photo data

[2037] Output: Data is sent to the server correctly

[2038] Step 3:

[2039] Data reception and integrity check

[2040] The server receives the product information and photo data sent by the user, checks the integrity and format of the received data, and proceeds to the next step after confirming that the data has been received in the correct format.

[2041] Input: Product information, photo data

[2042] Output: Data with integrity checked

[2043] Step 4:

[2044] AI-based appraisal price calculation

[2045] An AI engine built into the server calculates the valuation price based on product information and photo data. This AI engine takes into account past transaction data and market trends to calculate the appropriate valuation price for the product. For example, a generative AI model can be used to reference prices of similar products from market data and analyze the condition of the product.

[2046] Input: Product information, photo data, past transaction data, market trend data

[2047] Output: Calculated valuation price

[2048] Step 5:

[2049] Return of assessment results

[2050] The server returns the calculated appraisal price and detailed information to the mobile information terminal, where the user can check the appraisal results on their own terminal.

[2051] Input: Estimated price, details

[2052] Output: The assessment results are displayed on the user's mobile device.

[2053] Step 6:

[2054] Approval of the estimated price and shipping procedures

[2055] If the user accepts the proposed bid, they initiate the shipping process through the application. The server then provides the user with a delivery label and shipping instructions, and the user then properly packages the item and ships it to the designated warehouse.

[2056] Input: Approval information for the assessed price

[2057] Output: Shipping instructions, delivery label

[2058] Step 7:

[2059] Checking and inspecting the arrival of goods

[2060] The server confirms that the delivered product has arrived at the warehouse and inspects the product condition. It verifies that the product condition is as declared by the user, and if there are no problems, it proceeds to the next step.

[2061] Input: Incoming goods, declared information

[2062] Output: Inspection results

[2063] Step 8:

[2064] Remittance procedure

[2065] If the inspection results are satisfactory, the server transfers the assessed amount to the user's account via the electronic money transfer system. The user can immediately check the transferred amount via electronic money.

[2066] Input: Final approval based on inspection

[2067] Output: The transferred amount is reflected in the user's account.

[2068] This series of steps allows users to efficiently appraise unwanted items and quickly sell them.

[2069] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[2070] To put this invention into practice, it is necessary to build a system that allows users to use a mobile information terminal to request appraisals for unwanted brand-name goods, precious metals, watches, and other items, and quickly sell them at a fair appraisal price, while also combining the system with a function that recognizes the user's emotions and responds based on their reactions. A specific embodiment of the system is described below.

[2071] System Configuration

[2072] This system consists of the following elements:

[2073] 1. User Interface (UI)

[2074] An application that allows users to enter product information and upload photos. This application runs on a mobile information device.

[2075] 2. Data transmission and reception module

[2076] A module for sending product information and photo data from a mobile information terminal to a server and receiving appraisal results.

[2077] 3. Server

[2078] A server containing multiple databases, an AI engine, and an emotion engine, which allows the system to quickly calculate a fair appraisal price based on product information and photo data, and analyzes user emotions to provide appropriate feedback.

[2079] 4. Artificial Intelligence (AI) Appraisal Engine

[2080] An AI engine built into the server calculates the appraisal price of the product based on a huge amount of market data.

[2081] 5. Emotion Engine

[2082] An emotion engine built into the server analyzes the user's emotional response to the assessment results and provides appropriate feedback and additional information.

[2083] 6. Electronic Money Transfer System

[2084] A system for transferring the amount in electronic money to users who have accepted the assessed price.

[2085] Program processing

[2086] Data entry and submission

[2087] The user uses the device

[2088] The user launches the app, enters information about the item they wish to sell, and then takes and uploads a photo. The information includes the brand name, model name, purchase date, condition, etc. Once the user has completed entering information and uploading the photo, they press the "Send" button to send the data from their device to the server.

[2089] Data reception and AI assessment

[2090] The server receives the data

[2091] The server receives the product information and photo data sent by the user, and then converts the data into a format suitable for analysis.

[2092] AI performs the assessment

[2093] The AI ​​engine uses product information and photo data to refer to a market database, taking into account information such as the product brand, model, condition, and market demand, and calculates an appraisal price.

[2094] Emotion Engine Analysis

[2095] The emotion engine analyzes the user's emotions regarding the assessment results from facial expressions and tone of voice, and determines whether the user is satisfied or dissatisfied.

[2096] Notification of assessment results and feedback

[2097] Sending assessment results

[2098] The calculated valuation price and detailed information are sent from the server to the mobile information terminal and displayed to the user. Depending on the user's emotions, appropriate feedback and additional information are displayed.

[2099] User Reactions

[2100] The user confirms the proposed valuation price, and the emotion engine further analyzes the user's reaction. For example, if the user is determined to be dissatisfied with the valuation price, the server can automatically provide additional valuation information or valuation results for similar products.

[2101] Approval of the estimated price and shipping procedures

[2102] User checks the estimated price

[2103] If the user is satisfied with the estimated price, he or she presses the "Accept" button, and the acceptance information is sent from the terminal to the server.

[2104] Shipping Procedures

[2105] The server receives the authorization and provides the user with a delivery label and shipping instructions. The user prints the delivery label, packages the product, and hands it over to the courier.

[2106] Arrival of goods, inspection, and remittance

[2107] The server confirms the arrival of the product

[2108] When the product arrives at the server-managed warehouse, the server's AI management system confirms the arrival of the product and inspects it to ensure that the product is in the condition declared by the user.

[2109] Remittance procedure

[2110] Once the inspection is complete and there are no problems, the server will transfer the assessed amount to the user via the electronic money transfer system. The user can immediately check the transferred amount in their electronic money account.

[2111] Specific examples

[2112] Example: When a user sells a designer bag

[2113] 1. User enters product information and uploads photos

[2114] Users start the app on their mobile device and enter the "brand bag," "model name," "purchase date," and "whether or not there are scratches or fading," etc. They then take and upload photos of the entire bag, including the front, bottom, and inside.

[2115] 2. The server performs AI assessment

[2116] The server receives the information, and the AI ​​instantly calculates the estimated value of 25,000 yen based on past market price data for designer bags. The result of the assessment is then sent back to the mobile information terminal.

[2117] 3. Emotion engine analyzes user emotions

[2118] The server analyzes the user's feelings about the offered appraisal price, and if it determines that the user is dissatisfied, it provides feedback by presenting additional appraisal information and the purchasing experiences of other users.

[2119] 4. The user accepts the estimated price and completes the shipping procedure.

[2120] The user accepts the estimated price of 25,000 yen and begins the shipping process. Following instructions from the server, the product is packed and shipped via a courier.

[2121] 5. The server receives the product and inspects it.

[2122] When the product arrives at the server-managed warehouse, it is inspected by an AI management system. If there are no problems, the 25,000 yen is immediately transferred to the user's electronic money account.

[2123] This allows the system to efficiently and quickly purchase users' unwanted items at a fair price, and provide feedback based on the user's emotions to improve the selling experience.

[2124] The processing flow will be explained below.

[2125] Step 1:

[2126] The user launches the app and enters information about the item they wish to sell, including the brand name, model name, purchase date, condition, etc. The user also takes photos of the entire item and detailed photos of each part and uploads them to the app.

[2127] Step 2:

[2128] When the user presses the "Send" button, the terminal sends the entered product information and photo data to the server. After sending, the terminal displays a "Send Complete" message to the user.

[2129] Step 3:

[2130] The server receives the product information and photo data sent from the device, checks the format and content of the received data, and converts it into a format suitable for analysis.

[2131] Step 4:

[2132] The server uses an AI engine to assess the product based on the product information and photo data. The AI ​​engine retrieves relevant information from a market database and calculates an assessed price based on the product brand, model, condition, market demand, etc.

[2133] Step 5:

[2134] The server encodes the calculated estimated price and detailed information along with the product information and sends it to the terminal, where the estimated result is displayed to the user.

[2135] Step 6:

[2136] The emotion engine analyzes the facial expressions and tone of voice of the user confirming the assessment results to recognize the user's emotions. The recognition results are classified into emotion categories such as "satisfied" and "dissatisfied."

[2137] Step 7:

[2138] The user confirms the quoted price, and the emotion engine further analyzes the user's reaction. For example, if the user expresses dissatisfaction with the quoted price, the server automatically provides the user with additional valuation information or valuation results for similar products.

[2139] Step 8:

[2140] If the user is satisfied with the estimated price, he or she presses the "Accept" button. The approval information is sent from the terminal to the server, and the server records the user's approval.

[2141] Step 9:

[2142] The server receives the approval information, generates a delivery label and shipping instructions, and provides them to the user. The user prints the delivery label, packages the product, and hands it over to the delivery company.

[2143] Step 10:

[2144] The server receives notification of the arrival of the goods and records the arrival information in the database, while the AI ​​management system simultaneously inspects the condition of the goods.

[2145] Step 11:

[2146] If the server finds no problems based on the inspection results, it starts the remittance procedure and remits the assessed price to the user as electronic money through the remittance system.

[2147] Step 12:

[2148] The user confirms the transferred amount in their electronic money account and the sale process is complete.

[2149] Example 2

[2150] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[2151] Previous systems for buying unwanted items had problems such as not being able to calculate the appraisal price of the item quickly enough, not providing feedback that took the user's feelings into consideration, and not being able to speed up the remittance process. These problems led to lower user satisfaction and a loss of system usability.

[2152] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for receiving and analyzing product information and photo data, a means for calculating the assessed price of the product using artificial intelligence based on a huge amount of market data, and a means for analyzing the user's emotions. This makes it possible to quickly and accurately calculate the assessed price and provide feedback that takes the user's emotions into consideration.

[2153] A "personal digital assistant" is a device that can be carried by a user, can connect to the Internet, and has the function of executing applications.

[2154] "Product information" refers to all data related to a product, and specifically includes attribute information such as the brand name, model name, purchase date, and condition.

[2155] "Photo data" refers to an image file that visually shows the appearance of a product, and is taken using a terminal and uploaded to a server.

[2156] A "server" is a computer system that provides services over a network and has functions such as receiving, analyzing, storing, and transmitting data.

[2157] "Artificial intelligence" is a technology that simulates human-like intelligent behavior on a computer, and specifically includes algorithms that perform data analysis, prediction, classification, etc.

[2158] "Market Data" includes past and current trading information, price trends, supply and demand conditions, and other data used in valuing products.

[2159] The "assessed price" is a value obtained by evaluating the market value of the product and expressing it as a monetary amount, and is presented to the user.

[2160] "Emotion analysis" is the process of determining a user's psychological state from facial expressions, tone of voice, text data, etc., and assessing the user's satisfaction or dissatisfaction.

[2161] "Feedback" refers to reply information or advice provided to a user, and is generated based on the results of assessment and sentiment analysis.

[2162] The "shipping procedure" refers to a series of tasks required for sending the item that the user has approved for appraisal to a specified location, including generating a delivery label, packaging the item, and issuing shipping instructions.

[2163] "Inspection" is the process in which the server checks the condition of the product received, comparing the user's declaration with the actual condition of the product.

[2164] "Electronic money" refers to currency managed in digital form, which is sent and received through a network.

[2165] To put this invention into practice, we need to build a system that allows users to use their mobile information terminals to request appraisals for unwanted products (branded goods, precious metals, watches, etc.), receive a fair appraisal price, and quick...

Claims

1. A means for users to input product information such as brand-name goods, precious metals, and watches using a mobile information terminal and upload photos; means for transmitting product information and photograph data from the mobile information terminal to a server; A server uses artificial intelligence to calculate the appraisal price of a product based on a huge amount of market data, and a means for the server to return the assessment result to the mobile information terminal, and for the mobile information terminal to display the assessment result to the user; If the user agrees with the estimated price, a means for initiating the shipping procedure for the product is provided. A means for the server to confirm the arrival of the product and inspect the product status; A means for the server to remit the assessed amount to the user in electronic money based on the inspection results; A system including:

2. The system according to claim 1, wherein the remittance procedure is carried out only if the inspection results are satisfactory.

3. The system of claim 1, wherein the artificial intelligence uses an algorithm to calculate the appraisal price taking into account the brand, model, condition, market trends, and past transaction data of the product.

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