System

Abstract

A system is provided.SOLUTION: A system comprising: a server for receiving information inputted by a user; an analyzer connected to the server and including a AI model for analyzing and proposing an optimum plan based on the information inputted by the user; a display for displaying a result generated by the analyzer and presenting a proposed content to the user; and an applicant for supporting an application procedure of the user based on the proposed content.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] Traditional customer service at mass retailers has depended on the skills and experience of the staff, which has led to problems with the inconsistency of optimal plan proposals for customers. Furthermore, in stores without staff or with many new staff, it is difficult to provide appropriate guidance to customers. This has led to issues such as a decline in customer satisfaction and missed opportunities to propose plans. [Means for solving the problem]

[0005] The present invention provides a system that includes a terminal means for users to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including an AI model that analyzes and proposes the optimal plan based on the information input by the user, a display means that displays the results generated by the analysis means and presents the proposal to the user, and an application means that supports the user's application procedure based on the proposal. This makes it possible to propose the optimal plan with high accuracy without relying on the experience or skill of the crew, improving customer satisfaction and preventing lost opportunities for plan proposals. Furthermore, it is possible to provide consistent quality customer service even at stores that do not have crews on staff or that have many new crew members.

[0006] "User" refers to an individual or group who operates a terminal in the system, inputs their own information, and receives the optimal plan proposal.

[0007] "Terminal means" refers to a device or system that provides an interface for a user to input information, receives the input information, and transmits it to a server.

[0008] "Server means" refers to a device or system that receives information sent from terminal means and includes a database and AI model for analyzing that information.

[0009] "Analysis Means" means a process or system that is connected to the Server Means and that analyzes and generates an optimal plan using an AI model and database based on user input information.

[0010] "Display means" refers to a device or system that visually presents the results generated by the analysis means to the user and displays details of the plan proposal.

[0011] "Application means" refers to a device or system that provides an interface for a user to agree to a proposed plan and apply, and supports the necessary procedures.

[0012] "Family structure" is one piece of information entered by the user, and refers to data indicating the number and relationships of individuals in a household.

[0013] "Current mobile carrier" refers to data that indicates information about the mobile phone carrier that a user currently subscribes to and uses.

[0014] "Device in Use" refers to data that indicates information about the mobile device, such as a mobile phone or tablet, currently being used by a user.

[0015] "Fixed line" refers to data that indicates information about the type of internet line and contract status currently used by the user.

[0016] "Electricity contract status" refers to data that indicates information about the service content of the electricity supply that the user currently has contracted for and whether or not the user has a contract. [Brief explanation of the drawings]

[0017] [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

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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."

[0038] The present invention is a system including a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including an AI model for analyzing and proposing an optimal plan based on the information input by the user, a display means for displaying the results generated by the analysis means and presenting the proposal to the user, and an application means for supporting the user's application procedure based on the proposal. Specific embodiments for implementing this system are described below.

[0039] System Overview

[0040] This system begins when a user accesses a monitor terminal installed in a mass retailer. The terminal means receives input information from the user and transmits that information to the server means. Data analyzed by the server means is presented to the user via the display means to provide the user with the most suitable plan and its details. If the user agrees to the proposed plan, the terminal means supports the procedures required for application, and the information is again transmitted to the server means for final confirmation and approval.

[0041] Program processing

[0042] Receiving and sending input information

[0043] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits the necessary information, the terminal means transmits the information to the server means.

[0044] Analysis of information

[0045] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[0046] Presenting the plan

[0047] The terminal device displays the analysis results received from the server device and presents the user with the most suitable plan, with the display device providing details of the plan, its price, benefits, etc. in a visually easy-to-understand format.

[0048] Support for application procedures

[0049] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user completes the application by entering the necessary information in the form, the data is sent to the server means.

[0050] Review and approval of content

[0051] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[0052] Specific examples

[0053] For example, if a user wants to change their mobile carrier plan at a mass retailer, the user accesses a monitor terminal and enters the necessary information. The information entered by the user is sent to the server means, where it is analyzed by an AI model. The optimal plan is presented, and once the user selects a plan and completes the application procedure, the server means verifies the application details and finally sends a notification to the user that the application has been completed. This allows the user to quickly and efficiently select the service plan that is best suited to them and complete the application.

[0054] In this way, the system provides users with consistent, high-quality plan proposals and application procedures, making it possible to provide appropriate service to users even when the store's staff is absent or the staff is new.

[0055] The processing flow will be explained below.

[0056] Step 1:

[0057] The user accesses a monitor terminal in a mass retailer.

[0058] Specific action: The user touches the "Start" button on the monitor.

[0059] Step 2:

[0060] The device will display a screen for entering basic information.

[0061] Specific operation: The device displays a form on the screen that asks users to enter information such as family composition, the mobile carrier in use, the device in use, whether or not they have a fixed line, and the status of their electricity contract.

[0062] Step 3:

[0063] The user enters information into a form displayed on the screen.

[0064] Specific operation: The user enters the required information into each input field. For example, the user enters "4 people" for family size, "Carrier A" for the mobile carrier in use, and "3 smartphones, 1 tablet" for the devices used.

[0065] Step 4:

[0066] After completing the input, the user presses the "Send" button.

[0067] Specific operation: The user checks the input and presses the "Send" button on the device.

[0068] Step 5:

[0069] The terminal transmits the input information to the server.

[0070] Specific operation: The terminal converts the user's input information into packets and sends them to the server as an HTTP request.

[0071] Step 6:

[0072] The server receives the input information.

[0073] Specific operation: The server receives the HTTP request and performs preprocessing to save it in the database.

[0074] Step 7:

[0075] The server analyzes the information using a database and AI models.

[0076] How it works: The server queries the database for user information to retrieve the necessary data, then inputs that data into the AI ​​model for analysis. The analysis also uses past plan information and customer service conversation data from highly successful crew members.

[0077] Step 8:

[0078] The server generates the analysis results and sends them back to the terminal.

[0079] Specific operation: The server converts the analysis results of the AI ​​model into JSON format data and sends it to the device as a response.

[0080] Step 9:

[0081] The terminal receives the analysis results and displays them to the user.

[0082] What it does: The device parses the received JSON data and displays it on the screen in a human-friendly format, such as a list of the best plan types, prices, and benefits.

[0083] Step 10:

[0084] The user reviews the proposed plan and selects it.

[0085] Specific behavior: The user checks the displayed plan details and presses the "Subscribe to this plan" button.

[0086] Step 11:

[0087] The terminal displays the application form.

[0088] Specific operation: The terminal displays an application form on the screen and prompts the user to enter necessary information such as name, address, and payment method.

[0089] Step 12:

[0090] The user enters the necessary information into the application form and completes the application.

[0091] Specific operation: The user enters the required information into the application form and presses the "Complete application" button.

[0092] Step 13:

[0093] The terminal transmits the application data to the server.

[0094] Specific operation: The terminal converts the application details into packets and sends them to the server as an HTTP request.

[0095] Step 14:

[0096] The server receives and verifies the application.

[0097] Specific behavior: The server receives the application data and checks the validity of each item before saving it to the database.

[0098] Step 15:

[0099] The server performs the verification and approval process.

[0100] What happens: The server performs an internal authorization process to ensure the application is valid, for example by validating the credit card.

[0101] Step 16:

[0102] The server sends a notification to the user that the application has been completed.

[0103] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[0104] In this way, the system analyzes the information entered by the user, proposes the optimal plan, and provides consistent support right up to the application process.

[0105] Example 1

[0106] 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."

[0107] Current in-store service plan proposal and application systems have the problem that it is difficult for users to efficiently find the most suitable plan, and the application process is cumbersome. In particular, when store staff are absent or new staff are handling the application, it is difficult to provide users with consistent, high-quality service. This can result in a decrease in user satisfaction and a prolonged application process.

[0108] 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.

[0109] In this invention, the server includes a terminal means for users to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and visually presenting the details, price, benefits, etc. of the optimal plan to the user, an application means for supporting the user's application procedure based on the proposal content and retransmitting the input application information to the server, and a means for confirming and approving the application information received by the server means and sending the user a notification of application completion. This allows users to efficiently select the service plan that is optimal for them and quickly complete the application procedure. Furthermore, consistent, high-quality service can be provided to users even when store staff are absent.

[0110] A "terminal means" is a device for a user to input information.

[0111] The "server means" is a system having a function of receiving information input by the terminal means.

[0112] The "analysis means" is a system that is connected to the server means and includes a generative AI model that analyzes and proposes an optimal plan based on information input by the user.

[0113] The "display means" is a system that has the function of displaying the results generated by the analysis means and visually presenting details, prices, advantages, etc. of the most suitable plan to the user.

[0114] The "application means" is a system that supports the user's application procedure based on the proposed content and includes a process for retransmitting the input application information to the server.

[0115] A "generative AI model" is an artificial intelligence algorithm that uses a database to analyze user input information and propose the optimal plan.

[0116] The "database" is an information management system that stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies.

[0117] This invention is a system including terminal means for users to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including a generative AI model that analyzes and proposes the optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and visually presenting the details, price, advantages, etc. of the optimal plan to the user, application means for supporting the user's application procedure based on the proposed content and resending the input application information to the server, and means for confirming and approving the application information received by the server means and sending the user a notification of application completion.

[0118] First, the user accesses a monitor terminal installed inside the mass retailer. The terminal means provides an intuitive UI to prompt the user to input information. Specifically, a form is displayed for inputting information such as family composition, the mobile communication service provider currently under contract, the device used, whether or not a fixed communication line is used, and the status of the electricity service contract. When the user inputs the necessary information and presses the send button, the terminal means temporarily stores the input information and immediately sends it to the server means.

[0119] The server means analyzes the information received from the terminal means using a database and a generative AI model. The database stores past user data, information on optimal plans, customer service talk of highly successful crew members, and information on plans from other companies. The generative AI model analyzes this data and identifies the plan that best suits the user's needs.

[0120] Next, the server means transmits the analysis results to the terminal means. The terminal means displays the received results to the user. The display means presents the user with information such as plan details, prices, and benefits using visually easy-to-understand graphs and charts. This allows the user to compare multiple plans and make the best selection.

[0121] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user enters the necessary information such as name, address, and contact details and presses the application button, the information is again sent to the server means. The server means again checks the received application information in the database to ensure that all conditions are met.

[0122] Finally, the server approves the application and sends the user a notification of application completion. The notification includes a link explaining the next steps and a link to download the necessary documents. This allows the user to efficiently complete the application process.

[0123] Below are some example prompts to input to the generative AI model:

[0124] Please describe the steps a user takes to complete the application process by entering information such as family composition, current mobile phone service provider, devices used, whether or not they have a fixed line, and their electricity service contract status on a monitor terminal installed at a mass retailer. Also, please include specific operations and actions of the user, device, and server for each step.

[0125] As described above, this system allows users to enter the necessary information, select the optimal plan based on the analysis results, and quickly complete the application process, thereby providing consistent, high-quality service and improving user satisfaction.

[0126] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0127] Step 1: Enter your information

[0128] User: The user accesses a monitor terminal in a mass retailer. The terminal displays an intuitive UI to prompt the user for input, and displays a form for entering information such as family composition, the mobile communication service provider in use, the device being used, whether or not there is a fixed line, and the status of the electricity service contract.

[0129] Input: Family composition, mobile communication service in use, devices used, presence of fixed line, electricity contract status

[0130] Output: Input information is temporarily saved on the device.

[0131] Step 2: Send information

[0132] Terminal: Receives the information entered by the user and temporarily stores it. The terminal then sends the stored information to the server.

[0133] Input: Various information entered by the user

[0134] Output: The input information is sent to the server.

[0135] Step 3: Receiving information

[0136] Server: The server receives the user information sent from the device and prepares for data analysis based on the received information.

[0137] Input: User information sent from the device

[0138] Output: User information is saved on the server.

[0139] Step 4: Information analysis

[0140] Server: The server analyzes the received information using a database and a generative AI model. The database contains past user data and information on optimal plans, and the AI ​​model uses this data to propose the optimal plan for the user.

[0141] Input: User information, past user data, optimal plan information, customer service talk of highly successful crew members, plan information of other companies

[0142] Output: The best plan is analyzed for the user.

[0143] Step 5: Send results

[0144] Server: The server sends the generated analysis results to the device.

[0145] Input: Analysis results

[0146] Output: The analysis results are sent to the terminal.

[0147] Step 6: View the results

[0148] Terminal: The terminal receives the analysis results from the server and presents them to the user in a visually understandable format, showing plan details, prices, benefits, etc. in graphs and charts.

[0149] Input: Analysis results sent from the server

[0150] Output: Plan details, pricing, benefits, etc. are displayed to the user.

[0151] Step 7: Application process

[0152] User: The user agrees to the proposed plan.

[0153] Terminal: Displays the application form and the user enters the required information (name, address, contact details, etc.).

[0154] Input: User application information

[0155] Output: The application information is saved on the device.

[0156] Step 8: Submit your application

[0157] Terminal: Sends the entered application information to the server.

[0158] Input: Application information

[0159] Output: The application information is sent to the server.

[0160] Step 9: Application information received and confirmed

[0161] Server: The server receives the application information sent from the terminal and checks it against the database again to make sure the application information is accurate and meets all requirements.

[0162] Input: Application information sent from the terminal

[0163] Output: The application information is verified.

[0164] Step 10: Application completion notification

[0165] Server: The server will confirm and approve the application information and send a notification to the user that the application has been completed. The notification will also include information on next steps.

[0166] Input: Confirmed application information

[0167] Output: A notification of application completion is sent to the user.

[0168] (Application example 1)

[0169] 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."

[0170] In conventional food delivery systems, it takes a lot of time and effort for users to select a meal plan that suits them. It is also difficult to determine the best plan based on the user's preferences, allergies, budget, etc., which can result in an unsatisfactory service experience. Therefore, there is a need for a system that can quickly and accurately propose the optimal food delivery plan based on the user's input information and support the application process.

[0171] 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.

[0172] In this invention, the server includes terminal means for a user to provide input information, means for receiving information input by the terminal means, analysis means including a generative AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and means for proposing an optimal food delivery plan based on information such as the user's dietary preferences, allergy information, budget, meal timing, etc. This enables users to quickly and efficiently find a food delivery plan that best suits their preferences and requirements, and to smoothly complete the application procedure.

[0173] "Terminal means" refers to a device through which a user inputs information, such as a smartphone, PC, or tablet.

[0174] The "server means" is a computer system that receives information sent from users and performs analysis and data management.

[0175] The "analysis means" is a function that is connected to the server means and includes a generative AI model that analyzes and proposes the optimal plan based on the information input by the user.

[0176] The "display means" is a mechanism including a display or monitor for visually presenting the results generated by the analysis means to the user.

[0177] The "application means" is a mechanism for providing the interface and support functions necessary when a user carries out application procedures based on the proposal contents.

[0178] A "generative AI model" is a program that includes an artificial intelligence algorithm for analyzing and proposing optimal plans based on user input information.

[0179] "Food preferences" is information about a user's tendency to like specific types of food or cuisine.

[0180] "Allergy information" is information about a user's allergic reaction to a particular food ingredient or component.

[0181] "Budget" is information indicating the range of amounts that a user can spend on food delivery.

[0182] "Meal timing" is information about a specific time period for a user to eat meals.

[0183] "Food delivery plan" refers to a meal menu and delivery plan optimized to the user's preferences and conditions.

[0184] The following describes in detail the mode for carrying out this invention. The present invention comprises a system that allows a user to input information, proposes the optimal food delivery plan, and supports the application process. Here, we will introduce an example in which a user uses the system using a smartphone.

[0185] First, the user starts the smartphone application and inputs information such as dietary preferences, allergy information, budget, meal timings, etc. This information is received by the server means and stored in a database.

[0186] The server then uses the generative AI model to analyze and propose an optimal food delivery plan based on the received user information. The analysis means considers the user's past order history and current store information to derive the optimal plan.

[0187] The server displays the generated results on the user's smartphone. The display provides plan details, prices, benefits, etc. in a visually easy-to-understand manner. The user can view the proposed plans and select the one they like best.

[0188] If the user agrees to the plan, the application process will begin. The terminal device will display an application form, and the user will enter and confirm the necessary information. This completes the application process, and the data will be sent back to the server device.

[0189] The server means checks the received application information in a database, and after going through the most appropriate approval process, finally sends a completion notice to the user.

[0190] As an example of the system, suppose a user has an allergy to a specific ingredient, prefers Japanese food, and wants to use food delivery for lunch within a budget of 1,000 to 1,500 yen. The user launches the smartphone app and enters this information. Based on the entered information, the generative AI model proposes the optimal Japanese food delivery plan. The user reviews the proposal, agrees, and then completes the application process. Through this process, a delivery plan tailored to the user's specific requirements is provided.

[0191] Example prompt sentence:

[0192] "I like Japanese food, I'm allergic to peanuts, my budget is 1,000 to 1,500 yen, and I eat at lunchtime."

[0193] In this way, the present invention provides a system that quickly provides the optimal food delivery plan tailored to the user's needs and supports efficient application procedures.

[0194] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0195] Step 1:

[0196] The user launches the smartphone application and enters information such as dietary preferences, allergy information, budget, and meal timings.

[0197] Input: User's dietary information (e.g., preference for Japanese food, peanut allergy, budget 1,000-1,500 yen, lunch)

[0198] Output: The input information is sent by the terminal means to the server means.

[0199] Specific operation: When a user enters various information into the input form and presses the "Submit" button, the information is sent to the server as an HTTP request.

[0200] Step 2:

[0201] The server means receives the input information sent by the user and stores it in a database.

[0202] Input: The input information submitted by the user.

[0203] Output: The input information is saved in a database.

[0204] Specific operation: The server analyzes the received HTTP request and stores the information in the database using an INSERT query.

[0205] Step 3:

[0206] The server means uses the generated AI model to analyze the user's input information and propose the optimal food delivery plan.

[0207] Input: User input information stored in the database.

[0208] Output: Optimal food delivery plan suggestions.

[0209] Specific operation: The server retrieves user information from the database and inputs it into the generative AI model, which then uses past data and algorithms to generate the optimal plan.

[0210] Step 4:

[0211] The server means transmits the analysis results to the user's smartphone, and the display means displays the proposal content.

[0212] Input: Optimal food delivery plan proposed by a generative AI model.

[0213] Output: The suggestions displayed in the user's smartphone app.

[0214] Specific operation: The server sends the proposal to the user's device as an HTTP response, and the application receives the response and displays it on the screen.

[0215] Step 5:

[0216] The user confirms the proposed food delivery plan and, if they agree, proceeds to the application procedure. The terminal means displays the application form, and the user enters and confirms the necessary information.

[0217] Input: User consent and any additional information required for registration.

[0218] Output: The application information is sent from the terminal means to the server means.

[0219] Specific operation: When the user presses the "Agree" button on the confirmation screen, enters the required information in the application form, and presses the "Submit" button, the information is sent again to the server as an HTTP request.

[0220] Step 6:

[0221] The server means checks the received application information in a database, and after an approval process, finally sends a notification of application completion to the user.

[0222] Input: Application information sent from the terminal means.

[0223] Output: Notification to the user that the application has been completed.

[0224] Specific operation: The server stores the application information in a database and performs the necessary confirmation and approval processes. Once approval is complete, a completion notification is sent to the user's smartphone via an HTTP response.

[0225] In this way, a system can be realized that utilizes a generative AI model based on user input information to propose the optimal food delivery plan and complete the application process quickly and efficiently.

[0226] 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.

[0227] The present invention is a system that includes a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means including an AI model that analyzes and proposes an optimal plan based on the information input by the user, a display means that presents the proposed results to the user, and an application means that supports the user's application procedure, and further combines this with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this system are described below.

[0228] System Overview

[0229] This system begins when a user stands in front of a monitor terminal installed inside a mass retailer and operates the terminal means to input their own information. The input information is sent from the terminal means to the server means, which then analyzes the information using a database and AI model. Furthermore, the display means has a built-in emotion engine that can recognize the user's emotions and adjust the content of the proposal accordingly. This makes it possible to propose the optimal plan based on the user's emotions.

[0230] Program processing

[0231] Receiving and sending input information

[0232] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits this information, the terminal means transmits the information to the server means.

[0233] Analysis of information

[0234] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talks by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[0235] Emotion recognition

[0236] The emotion engine built into the display means recognizes the user's emotional state by analyzing the user's facial expressions, tone of voice, and body movements. The emotion engine collects user's emotional data using multiple sensors (camera, microphone, etc.).

[0237] Coordinating and presenting plans

[0238] After the emotion engine recognizes the user's emotional state, the server means adjusts the analysis results based on that information. For example, if the user appears interested, the server means refines the proposal and presents additional information or discount options. On the other hand, if the user appears dissatisfied, the server means presents alternative plan options. The adjusted proposals are presented to the user via the terminal means.

[0239] Support for application procedures

[0240] If the user agrees to the proposed plan, an application form is displayed. When the user enters the necessary information into the form and completes the application, the data is sent to the server means.

[0241] Review and approval of content

[0242] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[0243] Specific examples

[0244] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and input the necessary information. The user's facial expressions are captured by a camera, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server device verifies the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[0245] In this way, the system can provide more personalized services by recognizing the user's emotions and making suggestions based on their emotional state, thereby improving user satisfaction and increasing the success rate of plan proposals.

[0246] The processing flow will be explained below.

[0247] Step 1:

[0248] A user accesses a monitor terminal installed inside a mass retailer.

[0249] Specific operation: The user starts operating the system by touching the "Start" button on the monitor.

[0250] Step 2:

[0251] The device will display a screen for entering basic information.

[0252] Specific operation: The device displays a form on the screen containing input fields such as family composition, mobile carrier in use, device in use, whether or not a fixed line is in use, and electricity contract status.

[0253] Step 3:

[0254] The user enters information into a form displayed on the screen.

[0255] Specific Behavior: The user enters the required information into each input field and verifies that all required fields are completed.

[0256] Step 4:

[0257] After completing the input, the user presses the "Send" button.

[0258] Specific operation: The user confirms the input and presses the "Send" button on the device to send the data.

[0259] Step 5:

[0260] The terminal transmits the input information to the server.

[0261] Specific operation: The device converts input information into packets and sends them as HTTP requests to the server via the Internet.

[0262] Step 6:

[0263] The server receives the input information.

[0264] What happens: The server receives an HTTP request, extracts the contents of the packet, and prepares to store them in a database.

[0265] Step 7:

[0266] The server analyzes the information using a database and AI models.

[0267] What it does: The server queries the database to retrieve data that matches the user's information, then inputs that data into the AI ​​model for analysis.

[0268] Step 8:

[0269] The analysis results are generated and the emotion engine recognizes the user's emotions.

[0270] Specific operation: The server generates the analysis results, and in parallel, the emotion engine analyzes the user's facial expressions, tone of voice, and body movements through the camera and microphone.

[0271] Step 9:

[0272] Adjust the analysis results based on the output of the emotion engine.

[0273] Specific operation: The server reevaluates the analysis results based on the output of the emotion engine (e.g., whether the user is interested or dissatisfied) and selects the optimal plan.

[0274] Step 10:

[0275] The server returns the adjusted analysis results to the terminal.

[0276] Specific operation: The server converts the final analysis result into JSON format data and sends it to the terminal as an HTTP response.

[0277] Step 11:

[0278] The terminal receives the analysis results and displays them to the user.

[0279] Specific operation: The device parses the JSON data of the analysis results and displays it visually to the user (e.g., plan name, price, benefits, etc.).

[0280] Step 12:

[0281] The user reviews the proposed plan and selects it.

[0282] Specific actions: The user views the proposed plan displayed on the screen, checks the details and benefits of the plan, and presses the "Subscribe to this plan" button.

[0283] Step 13:

[0284] The terminal displays the application form.

[0285] What it does: The device displays a form for completing an application, providing fields for input such as name, address, and payment method.

[0286] Step 14:

[0287] The user enters the necessary information into the application form and completes the application.

[0288] Specific operation: The user enters the required information into the application form and presses the "Complete application" button to complete the application process.

[0289] Step 15:

[0290] The terminal transmits the application data to the server.

[0291] Specific operation: The terminal converts the application data into packets and sends them to the server as an HTTP request.

[0292] Step 16:

[0293] The server receives and verifies the application.

[0294] Specific operation: The server checks the application details received and checks the validity of each item before saving it to the database.

[0295] Step 17:

[0296] The server performs the verification and approval process.

[0297] What happens: The server runs an internal authorization process to ensure the application is valid (e.g., validating a credit card).

[0298] Step 18:

[0299] The server sends a notification to the user that the application has been completed.

[0300] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[0301] This system allows users to input the necessary information and receive the best plan based on their emotional state, while also allowing for a smooth application process.

[0302] Example 2

[0303] 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."

[0304] Conventional plan proposal systems were able to make proposals based on user input information, but they were unable to propose personalized plans that took the user's emotional state into account, making it difficult to improve user satisfaction. Furthermore, because plans could not be adjusted to reflect the user's emotional state, users often lacked sufficient interest in the proposed plans. Therefore, improving the success rate of proposals was a challenge.

[0305] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0306] In this invention, the server includes terminal means for a user to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including an AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and emotion recognition means having an emotion engine for recognizing the user's emotions, collecting user emotion data using sensor means built into the display means, analyzing the user's emotional state, and reflecting the analyzed emotional state in the plan proposal. This enables personalized plan proposals that take the user's emotions into consideration, thereby improving user satisfaction and the success rate of proposals.

[0307] "Terminal means" refers to a device or equipment through which a user inputs information.

[0308] The "server means" is a computer system or server that receives information input by the terminal means.

[0309] "Analysis means" means a device or function that uses an AI model to analyze and propose an optimal plan based on user input information.

[0310] The "display means" is a device or function that displays the results generated by the analysis means and presents the proposed content to the user.

[0311] The "application means" is a function or device that supports the application procedure of the user based on the proposal contents.

[0312] An "emotion engine" is software or hardware for recognizing a user's emotions.

[0313] The "sensor means" is a device or sensor that is incorporated into the display means and that collects emotion data of the user.

[0314] "Emotion recognition means" is a function or device for analyzing collected emotion data and determining an emotional state.

[0315] The present invention is a system that combines terminal means for users to input information, server means for receiving information input by the terminal means, analysis means including an AI model that analyzes and proposes the optimal plan based on the information input by the user, display means that presents the proposed results to the user, application means that supports the user's application procedure, and an emotion engine that recognizes the user's emotions.

[0316] A specific embodiment of this system will now be described.

[0317] First, the user accesses a monitor terminal installed inside the mass retailer. When the user operates the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, and the status of the electricity contract. When the user enters this information and clicks the send button, the terminal means sends the information to the server means. When sending, the data is converted to JSON format and communicated securely via HTTPS.

[0318] The server stores the received information in a database and begins analysis using an AI model implemented in Python. This AI model uses Scikit-learn and analyzes and proposes the optimal plan for the user based on a database containing past user data, information on plans from other companies, and customer service conversations.

[0319] The emotion engine built into the display means then comes into play. The emotion engine uses TensorFlow and analyzes the user's facial expressions, tone of voice, and body movements using a camera and microphone. This allows the user's current emotional state to be recognized, and this information is sent to the server means.

[0320] The server means reflects the emotion information sent from the emotion engine in the analysis results and adjusts the plan proposal content. For example, if the user shows interest, the server means will refine the proposal content and present additional information and discount options. On the other hand, if the user seems dissatisfied, the server means will present other plan options. The adjusted proposal content is displayed to the user via the terminal means.

[0321] If the user agrees to the proposed plan, an application form will be displayed on the terminal. After the user enters the required information and completes the application, the data is sent back to the server means. The server means checks the application details against a database, checking for inconsistencies and errors, and then carries out the appropriate approval process. Once all processes are complete, the server means sends the user a notification of application completion and provides information for proceeding to the next step.

[0322] Specific examples

[0323] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and enter the necessary information. The camera captures the user's facial expression, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server confirms the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[0324] Prompt Sentence Examples

[0325] A user wants to change their mobile carrier plan. They use a device provided by a mass retailer to enter information such as their family composition and current mobile carrier. An on-screen camera captures their facial expressions, and an emotion engine determines their interest. Based on this, an AI model suggests the most suitable plan, providing detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server verifies the application and sends the user a notification that the application is complete. How does this process work?

[0326] As described above, the system of the present invention is capable of recognizing the user's emotions and proposing plans based on the user's emotional state, thereby increasing user satisfaction and the success rate of proposals.

[0327] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0328] Step 1: Collecting User Input

[0329] When a user accesses a monitor terminal installed in a mass retailer, a form appears on the screen for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not they have a fixed line, the status of their electricity contract, etc. The user enters this information and clicks the submit button.

[0330] Input: The user enters information such as family composition and the mobile carrier they are using into an input form.

[0331] Output: The input information is prepared for use in the next step, specifically as output data converted to JSON format.

[0332] Step 2: Send the input information to the server

[0333] When the user clicks the submit button, the device sends the information to the server, securely using HTTPS.

[0334] Input: The terminal converts the information entered by the user into JSON format.

[0335] Output: The data is converted to JSON format and sent to the server using HTTPS.

[0336] Step 3: Analyze the information

[0337] The server stores the received information in a database and begins analysis using an AI model implemented in Python, which uses Scikit-learn to generate the optimal plan using past data from the database and information on plans from other companies.

[0338] Input: The server receives user information in JSON format and stores it in the database.

[0339] Output: The server generates data to propose the optimal plan and prepares it to be sent to the emotion engine.

[0340] Step 4: Recognize emotions

[0341] The emotion engine built into the display uses a camera and microphone to analyze the user's facial expressions, tone of voice, and body movements, and uses TensorFlow to recognize the user's emotional state in real time.

[0342] Input: User facial expressions, tone of voice, and body movements captured via camera and microphone.

[0343] Output: The emotion engine analyzes and generates the recognized emotional state data.

[0344] Step 5: Adjust and present the plan

[0345] The server adjusts the content of the plan proposal based on the emotional state data sent from the emotion engine. For example, if the user shows interest, the server adds detailed plan information and discount options. On the other hand, if the user seems dissatisfied, the server presents a different plan. The adjusted proposal is returned to the device in JSON format and displayed on the screen.

[0346] Input: Emotional state data and parsed plan information.

[0347] Output: The adjusted plan proposal is generated in JSON format and sent to the device.

[0348] Step 6: Application support

[0349] If the user agrees to the proposed plan, an application form will be displayed on the terminal. The user enters the required information such as name, address, and contact details and clicks the application button. This information is then sent back to the server.

[0350] Input: Information entered by the user into the application form.

[0351] Output: The application information is converted to JSON format and sent to the server.

[0352] Step 7: Application review and approval

[0353] The server stores the received application information in a database and cross-checks it. After checking for inconsistencies and errors, it implements the appropriate approval process. Once all processes are complete, the server sends the user a notification that the application has been completed and provides information on how to proceed to the next step.

[0354] Input: The server receives the application information and stores it in a database.

[0355] Output: The application details are reviewed and approved, and a notification of application completion is sent to the user.

[0356] (Application example 2)

[0357] 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."

[0358] Current product and service suggestion systems in brick-and-mortar stores generally make uniform suggestions without considering the user's emotional state. This can result in a lack of optimal suggestions for the user, which can reduce user satisfaction and purchasing motivation. Furthermore, in-store guidance and suggestions are inefficient, making it difficult to instantly provide optimal information to specific users.

[0359] The identification process by the identification 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 an input device means for a user to input information, an information receiving means for receiving the information input by the input device means, an analysis means connected to the information receiving means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and presenting the proposal content to the user, the display means including an emotion recognition engine that recognizes the user's emotions, a means for adjusting the proposal content based on the user's emotional state, an application means for supporting the user's application procedure based on the adjusted proposal content, a means for the user to use smart glasses to input information, and a means for analyzing the user's emotions in real time using the smart glasses. This enables optimal proposals to be made in real time based on the user's emotional state. Furthermore, by using the smart glasses, users can obtain necessary information at any time while freely walking around the store, allowing them to receive optimal proposals in real time.

[0360] "Input device means" refers to a device for a user to input information.

[0361] The term "information receiving means" refers to a device having a function of receiving information input by an input device means.

[0362] A "generative AI model" refers to an artificial intelligence model that analyzes and proposes the optimal plan based on user input information.

[0363] "Analysis means" refers to a device or system that includes a generative AI model and generates an optimal plan based on user input information.

[0364] The "display means" refers to a device or system that displays the results generated by the analysis means and presents the proposed content to the user.

[0365] An "emotion recognition engine" refers to software or hardware for recognizing a user's emotions.

[0366] "Adjusting means" refers to a device or system that has the functionality to appropriately change the displayed suggestions based on the user's emotional state.

[0367] The "application means" refers to a device or system that supports the user when applying for a plan based on the proposed plan.

[0368] "Smart glasses" refers to a wearable device in the form of glasses that has a built-in display, camera, and microphone.

[0369] "Means for analyzing in real time" refers to a device or system for analyzing a user's emotions in real time.

[0370] A system embodying the present invention includes an input device means for a user to input information, an information receiving means, an analysis means including a generative AI model, a display means including an emotion recognition engine, an adjustment means, an application means, and smart glasses for analyzing a user's emotions in real time.

[0371] As a specific example, consider a case where a user wears smart glasses and walks around a physical store looking for a product or service plan. This system uses the following hardware and software:

[0372] Hardware

[0373] Smart glasses: These glasses have a built-in display, camera, and microphone, and are capable of collecting and displaying user input.

[0374] Server: Receives and analyzes the information sent from the input device means.

[0375] software

[0376] Generative AI model: Analyzes and proposes optimal plans based on user input.

[0377] Emotion recognition engine (such as DeepFace): An engine that recognizes emotions by analyzing the user's facial expressions and tone of voice.

[0378] Operation explanation

[0379] While a user wears the smart glasses and walks around a physical store, the smart glasses' camera and microphone capture the user's facial expressions and voice, which are then sent in real time to an emotion recognition engine to analyze the user's current emotional state.

[0380] In the analysis means, the server combines information previously input by the user via the information receiving means (e.g., age, interests, currently used communication services, etc.) with the emotional state acquired in real time, and generates optimal suggestions using a generative AI model. The generated suggestions are then displayed on the display of the smart glasses via the display means.

[0381] The display is equipped with an emotion recognition engine that adjusts the suggestions based on the user's emotional state. For example, if the user shows interest, detailed information or special promotions will be displayed.

[0382] If the user agrees to the proposal, the application method is activated and an interface for entering the necessary application information is displayed on the smart glasses display. Once the user has entered the information and completed the application procedure, the application data is sent to the server, where a confirmation and approval process is carried out. As a result, the user is notified that the application has been completed.

[0383] Specific examples

[0384] When a user wears smart glasses and walks through a physical store, a message appears on the display asking, "Are you looking for a new mobile phone plan?" If the user's facial expression indicates interest, the system will suggest the most suitable mobile phone plan based on information about the user's existing provider and the device they are using. Detailed information such as "This plan is available at a limited-time discount" will be displayed.

[0385] Prompt Sentence Examples

[0386] A user wears smart glasses and walks through a brick-and-mortar store. The camera and microphone capture the user's facial expressions and voice to recognize the dominant emotion. Based on the recognized emotion and pre-collected user data, suggest the best product plan. If the user shows interest, show them more information or promotions.

[0387] This system allows users to receive emotionally appropriate product suggestions in real time in physical stores, improving the shopping experience.

[0388] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0389] Step 1:

[0390] A user wears smart glasses and inputs information while walking around a physical store. The smart glasses' camera and microphone capture the user's facial expressions and voice. This information is acquired in real time by the input device means. The input device means transmits this facial expression and voice data as input information to the information receiving means.

[0391] Step 2:

[0392] The information receiving means receives the facial expression data and voice data sent from the input device means and sends them to an emotion recognition engine. The emotion recognition engine (DeepFace, etc.) analyzes the facial expression data and voice data and recognizes the user's dominant emotional state (interest, satisfaction, dissatisfaction, etc.). The user's current emotional state is generated as a result of the analysis.

[0393] Step 3:

[0394] The server acquires the user's pre-entered basic information (age, interests, currently used communication services, etc.) via the information receiving means. This information is stored in a database. The server uses a generative AI model to generate the optimal proposed plan for the user based on the acquired basic information and the user's emotional state recognized in real time.

[0395] Step 4:

[0396] The proposed plan is generated as a result by the analysis means and sent to the display means. The display means has a built-in emotion recognition engine and continuously acquires emotional data such as the user's facial expressions and tone of voice in real time. The display means adjusts the proposed plan according to the user's emotional state based on this emotional data. For example, if the user shows interest, detailed information or special promotions are added.

[0397] Step 5:

[0398] The adjusted proposal plan is displayed on the display of the smart glasses. The user checks the proposal content through the smart glasses and, if interested, selects an option to proceed with the application procedure. The display means transmits the option information selected by the user to the server in real time.

[0399] Step 6:

[0400] If the user agrees to the proposal, the server displays an interface on the smart glasses display to start the application process. The user inputs the necessary information through the presented interface and proceeds with the application process. The input information is sent to the server via the information receiving means.

[0401] Step 7:

[0402] The server analyzes the entered application information and checks it against a database. Once all processes are confirmed, the server approves the application. Finally, a notification of the completion of the application process is displayed on the smart glasses display. The user can then receive information on how to proceed to the next step.

[0403] At each step, the process is streamlined and optimal suggestions based on user sentiment are made in real time, improving the shopping experience in physical stores and providing more personalized service.

[0404] 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.

[0405] 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.

[0406] 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.

[0407] [Second embodiment]

[0408] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0409] 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.

[0410] 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).

[0411] 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.

[0412] 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.

[0413] 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).

[0414] 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.

[0415] 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.

[0416] 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.

[0417] 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.

[0418] 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.

[0419] 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."

[0420] The present invention is a system including a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including an AI model for analyzing and proposing an optimal plan based on the information input by the user, a display means for displaying the results generated by the analysis means and presenting the proposal to the user, and an application means for supporting the user's application procedure based on the proposal. Specific embodiments for implementing this system are described below.

[0421] System Overview

[0422] This system begins when a user accesses a monitor terminal installed in a mass retailer. The terminal means receives input information from the user and transmits that information to the server means. Data analyzed by the server means is presented to the user via the display means to provide the user with the most suitable plan and its details. If the user agrees to the proposed plan, the terminal means supports the procedures required for application, and the information is again transmitted to the server means for final confirmation and approval.

[0423] Program processing

[0424] Receiving and sending input information

[0425] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits the necessary information, the terminal means transmits the information to the server means.

[0426] Analysis of information

[0427] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[0428] Presenting the plan

[0429] The terminal device displays the analysis results received from the server device and presents the user with the most suitable plan, with the display device providing details of the plan, its price, benefits, etc. in a visually easy-to-understand format.

[0430] Support for application procedures

[0431] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user completes the application by entering the necessary information in the form, the data is sent to the server means.

[0432] Review and approval of content

[0433] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[0434] Specific examples

[0435] For example, if a user wants to change their mobile carrier plan at a mass retailer, the user accesses a monitor terminal and enters the necessary information. The information entered by the user is sent to the server means, where it is analyzed by an AI model. The optimal plan is presented, and once the user selects a plan and completes the application procedure, the server means verifies the application details and finally sends a notification to the user that the application has been completed. This allows the user to quickly and efficiently select the service plan that is best suited to them and complete the application.

[0436] In this way, the system provides users with consistent, high-quality plan proposals and application procedures, making it possible to provide appropriate service to users even when the store's staff is absent or the staff is new.

[0437] The processing flow will be explained below.

[0438] Step 1:

[0439] The user accesses a monitor terminal in a mass retailer.

[0440] Specific action: The user touches the "Start" button on the monitor.

[0441] Step 2:

[0442] The device will display a screen for entering basic information.

[0443] Specific operation: The device displays a form on the screen that asks users to enter information such as family composition, the mobile carrier in use, the device in use, whether or not they have a fixed line, and the status of their electricity contract.

[0444] Step 3:

[0445] The user enters information into a form displayed on the screen.

[0446] Specific operation: The user enters the required information into each input field. For example, the user enters "4 people" for family size, "Carrier A" for the mobile carrier in use, and "3 smartphones, 1 tablet" for the devices used.

[0447] Step 4:

[0448] After completing the input, the user presses the "Send" button.

[0449] Specific operation: The user checks the input and presses the "Send" button on the device.

[0450] Step 5:

[0451] The terminal transmits the input information to the server.

[0452] Specific operation: The terminal converts the user's input information into packets and sends them to the server as an HTTP request.

[0453] Step 6:

[0454] The server receives the input information.

[0455] Specific operation: The server receives the HTTP request and performs preprocessing to save it in the database.

[0456] Step 7:

[0457] The server analyzes the information using a database and AI models.

[0458] How it works: The server queries the database for user information to retrieve the necessary data, then inputs that data into the AI ​​model for analysis. The analysis also uses past plan information and customer service conversation data from highly successful crew members.

[0459] Step 8:

[0460] The server generates the analysis results and sends them back to the terminal.

[0461] Specific operation: The server converts the analysis results of the AI ​​model into JSON format data and sends it to the device as a response.

[0462] Step 9:

[0463] The terminal receives the analysis results and displays them to the user.

[0464] What it does: The device parses the received JSON data and displays it on the screen in a human-friendly format, such as a list of the best plan types, prices, and benefits.

[0465] Step 10:

[0466] The user reviews the proposed plan and selects it.

[0467] Specific behavior: The user checks the displayed plan details and presses the "Subscribe to this plan" button.

[0468] Step 11:

[0469] The terminal displays the application form.

[0470] Specific operation: The terminal displays an application form on the screen and prompts the user to enter necessary information such as name, address, and payment method.

[0471] Step 12:

[0472] The user enters the necessary information into the application form and completes the application.

[0473] Specific operation: The user enters the required information into the application form and presses the "Complete application" button.

[0474] Step 13:

[0475] The terminal transmits the application data to the server.

[0476] Specific operation: The terminal converts the application details into packets and sends them to the server as an HTTP request.

[0477] Step 14:

[0478] The server receives and verifies the application.

[0479] Specific behavior: The server receives the application data and checks the validity of each item before saving it to the database.

[0480] Step 15:

[0481] The server performs the verification and approval process.

[0482] What happens: The server performs an internal authorization process to ensure the application is valid, for example by validating the credit card.

[0483] Step 16:

[0484] The server sends a notification to the user that the application has been completed.

[0485] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[0486] In this way, the system analyzes the information entered by the user, proposes the optimal plan, and provides consistent support right up to the application process.

[0487] Example 1

[0488] 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."

[0489] Current in-store service plan proposal and application systems have the problem that it is difficult for users to efficiently find the most suitable plan, and the application process is cumbersome. In particular, when store staff are absent or new staff are handling the application, it is difficult to provide users with consistent, high-quality service. This can result in a decrease in user satisfaction and a prolonged application process.

[0490] 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.

[0491] In this invention, the server includes a terminal means for users to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and visually presenting the details, price, benefits, etc. of the optimal plan to the user, an application means for supporting the user's application procedure based on the proposal content and retransmitting the input application information to the server, and a means for confirming and approving the application information received by the server means and sending the user a notification of application completion. This allows users to efficiently select the service plan that is optimal for them and quickly complete the application procedure. Furthermore, consistent, high-quality service can be provided to users even when store staff are absent.

[0492] A "terminal means" is a device for a user to input information.

[0493] The "server means" is a system having a function of receiving information input by the terminal means.

[0494] The "analysis means" is a system that is connected to the server means and includes a generative AI model that analyzes and proposes an optimal plan based on information input by the user.

[0495] The "display means" is a system that has the function of displaying the results generated by the analysis means and visually presenting details, prices, advantages, etc. of the most suitable plan to the user.

[0496] The "application means" is a system that supports the user's application procedure based on the proposed content and includes a process for retransmitting the input application information to the server.

[0497] A "generative AI model" is an artificial intelligence algorithm that uses a database to analyze user input information and propose the optimal plan.

[0498] The "database" is an information management system that stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies.

[0499] This invention is a system including terminal means for users to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including a generative AI model that analyzes and proposes the optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and visually presenting the details, price, advantages, etc. of the optimal plan to the user, application means for supporting the user's application procedure based on the proposed content and resending the input application information to the server, and means for confirming and approving the application information received by the server means and sending the user a notification of application completion.

[0500] First, the user accesses a monitor terminal installed inside the mass retailer. The terminal means provides an intuitive UI to prompt the user to input information. Specifically, a form is displayed for inputting information such as family composition, the mobile communication service provider currently under contract, the device used, whether or not a fixed communication line is used, and the status of the electricity service contract. When the user inputs the necessary information and presses the send button, the terminal means temporarily stores the input information and immediately sends it to the server means.

[0501] The server means analyzes the information received from the terminal means using a database and a generative AI model. The database stores past user data, information on optimal plans, customer service talk of highly successful crew members, and information on plans from other companies. The generative AI model analyzes this data and identifies the plan that best suits the user's needs.

[0502] Next, the server means transmits the analysis results to the terminal means. The terminal means displays the received results to the user. The display means presents the user with information such as plan details, prices, and benefits using visually easy-to-understand graphs and charts. This allows the user to compare multiple plans and make the best selection.

[0503] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user enters the necessary information such as name, address, and contact details and presses the application button, the information is again sent to the server means. The server means again checks the received application information in the database to ensure that all conditions are met.

[0504] Finally, the server approves the application and sends the user a notification of application completion. The notification includes a link explaining the next steps and a link to download the necessary documents. This allows the user to efficiently complete the application process.

[0505] Below are some example prompts to input to the generative AI model:

[0506] Please describe the steps a user takes to complete the application process by entering information such as family composition, current mobile phone service provider, devices used, whether or not they have a fixed line, and their electricity service contract status on a monitor terminal installed at a mass retailer. Also, please include specific operations and actions of the user, device, and server for each step.

[0507] As described above, this system allows users to enter the necessary information, select the optimal plan based on the analysis results, and quickly complete the application process, thereby providing consistent, high-quality service and improving user satisfaction.

[0508] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0509] Step 1: Enter your information

[0510] User: The user accesses a monitor terminal in a mass retailer. The terminal displays an intuitive UI to prompt the user for input, and displays a form for entering information such as family composition, the mobile communication service provider in use, the device being used, whether or not there is a fixed line, and the status of the electricity service contract.

[0511] Input: Family composition, mobile communication service in use, devices used, presence of fixed line, electricity contract status

[0512] Output: Input information is temporarily saved on the device.

[0513] Step 2: Send information

[0514] Terminal: Receives the information entered by the user and temporarily stores it. The terminal then sends the stored information to the server.

[0515] Input: Various information entered by the user

[0516] Output: The input information is sent to the server.

[0517] Step 3: Receiving information

[0518] Server: The server receives the user information sent from the device and prepares for data analysis based on the received information.

[0519] Input: User information sent from the device

[0520] Output: User information is saved on the server.

[0521] Step 4: Information analysis

[0522] Server: The server analyzes the received information using a database and a generative AI model. The database contains past user data and information on optimal plans, and the AI ​​model uses this data to propose the optimal plan for the user.

[0523] Input: User information, past user data, optimal plan information, customer service talk of highly successful crew members, plan information of other companies

[0524] Output: The best plan is analyzed for the user.

[0525] Step 5: Send results

[0526] Server: The server sends the generated analysis results to the device.

[0527] Input: Analysis results

[0528] Output: The analysis results are sent to the terminal.

[0529] Step 6: View the results

[0530] Terminal: The terminal receives the analysis results from the server and presents them to the user in a visually understandable format, showing plan details, prices, benefits, etc. in graphs and charts.

[0531] Input: Analysis results sent from the server

[0532] Output: Plan details, pricing, benefits, etc. are displayed to the user.

[0533] Step 7: Application process

[0534] User: The user agrees to the proposed plan.

[0535] Terminal: Displays the application form and the user enters the required information (name, address, contact details, etc.).

[0536] Input: User application information

[0537] Output: The application information is saved on the device.

[0538] Step 8: Submit your application

[0539] Terminal: Sends the entered application information to the server.

[0540] Input: Application information

[0541] Output: The application information is sent to the server.

[0542] Step 9: Application information received and confirmed

[0543] Server: The server receives the application information sent from the terminal and checks it against the database again to make sure the application information is accurate and meets all requirements.

[0544] Input: Application information sent from the terminal

[0545] Output: The application information is verified.

[0546] Step 10: Application completion notification

[0547] Server: The server will confirm and approve the application information and send a notification to the user that the application has been completed. The notification will also include information on next steps.

[0548] Input: Confirmed application information

[0549] Output: A notification of application completion is sent to the user.

[0550] (Application example 1)

[0551] 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."

[0552] In conventional food delivery systems, it takes a lot of time and effort for users to select a meal plan that suits them. It is also difficult to determine the best plan based on the user's preferences, allergies, budget, etc., which can result in an unsatisfactory service experience. Therefore, there is a need for a system that can quickly and accurately propose the optimal food delivery plan based on the user's input information and support the application process.

[0553] 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.

[0554] In this invention, the server includes terminal means for a user to provide input information, means for receiving information input by the terminal means, analysis means including a generative AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and means for proposing an optimal food delivery plan based on information such as the user's dietary preferences, allergy information, budget, meal timing, etc. This enables users to quickly and efficiently find a food delivery plan that best suits their preferences and requirements, and to smoothly complete the application procedure.

[0555] "Terminal means" refers to a device through which a user inputs information, such as a smartphone, PC, or tablet.

[0556] The "server means" is a computer system that receives information sent from users and performs analysis and data management.

[0557] The "analysis means" is a function that is connected to the server means and includes a generative AI model that analyzes and proposes the optimal plan based on the information input by the user.

[0558] The "display means" is a mechanism including a display or monitor for visually presenting the results generated by the analysis means to the user.

[0559] The "application means" is a mechanism for providing the interface and support functions necessary when a user carries out application procedures based on the proposal contents.

[0560] A "generative AI model" is a program that includes an artificial intelligence algorithm for analyzing and proposing optimal plans based on user input information.

[0561] "Food preferences" is information about a user's tendency to like specific types of food or cuisine.

[0562] "Allergy information" is information about a user's allergic reaction to a particular food ingredient or component.

[0563] "Budget" is information indicating the range of amounts that a user can spend on food delivery.

[0564] "Meal timing" is information about a specific time period for a user to eat meals.

[0565] "Food delivery plan" refers to a meal menu and delivery plan optimized to the user's preferences and conditions.

[0566] The following describes in detail the mode for carrying out this invention. The present invention comprises a system that allows a user to input information, proposes the optimal food delivery plan, and supports the application process. Here, we will introduce an example in which a user uses the system using a smartphone.

[0567] First, the user starts the smartphone application and inputs information such as dietary preferences, allergy information, budget, meal timings, etc. This information is received by the server means and stored in a database.

[0568] The server then uses the generative AI model to analyze and propose an optimal food delivery plan based on the received user information. The analysis means considers the user's past order history and current store information to derive the optimal plan.

[0569] The server displays the generated results on the user's smartphone. The display provides plan details, prices, benefits, etc. in a visually easy-to-understand manner. The user can view the proposed plans and select the one they like best.

[0570] If the user agrees to the plan, the application process will begin. The terminal device will display an application form, and the user will enter and confirm the necessary information. This completes the application process, and the data will be sent back to the server device.

[0571] The server means checks the received application information in a database, and after going through the most appropriate approval process, finally sends a completion notice to the user.

[0572] As an example of the system, suppose a user has an allergy to a specific ingredient, prefers Japanese food, and wants to use food delivery for lunch within a budget of 1,000 to 1,500 yen. The user launches the smartphone app and enters this information. Based on the entered information, the generative AI model proposes the optimal Japanese food delivery plan. The user reviews the proposal, agrees, and then completes the application process. Through this process, a delivery plan tailored to the user's specific requirements is provided.

[0573] Example prompt sentence:

[0574] "I like Japanese food, I'm allergic to peanuts, my budget is 1,000 to 1,500 yen, and I eat at lunchtime."

[0575] In this way, the present invention provides a system that quickly provides the optimal food delivery plan tailored to the user's needs and supports efficient application procedures.

[0576] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0577] Step 1:

[0578] The user launches the smartphone application and enters information such as dietary preferences, allergy information, budget, and meal timings.

[0579] Input: User's dietary information (e.g., preference for Japanese food, peanut allergy, budget 1,000-1,500 yen, lunch)

[0580] Output: The input information is sent by the terminal means to the server means.

[0581] Specific operation: When a user enters various information into the input form and presses the "Submit" button, the information is sent to the server as an HTTP request.

[0582] Step 2:

[0583] The server means receives the input information sent by the user and stores it in a database.

[0584] Input: The input information submitted by the user.

[0585] Output: The input information is saved in a database.

[0586] Specific operation: The server analyzes the received HTTP request and stores the information in the database using an INSERT query.

[0587] Step 3:

[0588] The server means uses the generated AI model to analyze the user's input information and propose the optimal food delivery plan.

[0589] Input: User input information stored in the database.

[0590] Output: Optimal food delivery plan suggestions.

[0591] Specific operation: The server retrieves user information from the database and inputs it into the generative AI model, which then uses past data and algorithms to generate the optimal plan.

[0592] Step 4:

[0593] The server means transmits the analysis results to the user's smartphone, and the display means displays the proposal content.

[0594] Input: Optimal food delivery plan proposed by a generative AI model.

[0595] Output: The suggestions displayed in the user's smartphone app.

[0596] Specific operation: The server sends the proposal to the user's device as an HTTP response, and the application receives the response and displays it on the screen.

[0597] Step 5:

[0598] The user confirms the proposed food delivery plan and, if they agree, proceeds to the application procedure. The terminal means displays the application form, and the user enters and confirms the necessary information.

[0599] Input: User consent and any additional information required for registration.

[0600] Output: The application information is sent from the terminal means to the server means.

[0601] Specific operation: When the user presses the "Agree" button on the confirmation screen, enters the required information in the application form, and presses the "Submit" button, the information is sent again to the server as an HTTP request.

[0602] Step 6:

[0603] The server means checks the received application information in a database, and after an approval process, finally sends a notification of application completion to the user.

[0604] Input: Application information sent from the terminal means.

[0605] Output: Notification to the user that the application has been completed.

[0606] Specific operation: The server stores the application information in a database and performs the necessary confirmation and approval processes. Once approval is complete, a completion notification is sent to the user's smartphone via an HTTP response.

[0607] In this way, a system can be realized that utilizes a generative AI model based on user input information to propose the optimal food delivery plan and complete the application process quickly and efficiently.

[0608] 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.

[0609] The present invention is a system that includes a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means including an AI model that analyzes and proposes an optimal plan based on the information input by the user, a display means that presents the proposed results to the user, and an application means that supports the user's application procedure, and further combines this with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this system are described below.

[0610] System Overview

[0611] This system begins when a user stands in front of a monitor terminal installed inside a mass retailer and operates the terminal means to input their own information. The input information is sent from the terminal means to the server means, which then analyzes the information using a database and AI model. Furthermore, the display means has a built-in emotion engine that can recognize the user's emotions and adjust the content of the proposal accordingly. This makes it possible to propose the optimal plan based on the user's emotions.

[0612] Program processing

[0613] Receiving and sending input information

[0614] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits this information, the terminal means transmits the information to the server means.

[0615] Analysis of information

[0616] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talks by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[0617] Emotion recognition

[0618] The emotion engine built into the display means recognizes the user's emotional state by analyzing the user's facial expressions, tone of voice, and body movements. The emotion engine collects user's emotional data using multiple sensors (camera, microphone, etc.).

[0619] Coordinating and presenting plans

[0620] After the emotion engine recognizes the user's emotional state, the server means adjusts the analysis results based on that information. For example, if the user appears interested, the server means refines the proposal and presents additional information or discount options. On the other hand, if the user appears dissatisfied, the server means presents alternative plan options. The adjusted proposals are presented to the user via the terminal means.

[0621] Support for application procedures

[0622] If the user agrees to the proposed plan, an application form is displayed. When the user enters the necessary information into the form and completes the application, the data is sent to the server means.

[0623] Review and approval of content

[0624] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[0625] Specific examples

[0626] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and input the necessary information. The user's facial expressions are captured by a camera, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server device verifies the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[0627] In this way, the system can provide more personalized services by recognizing the user's emotions and making suggestions based on their emotional state, thereby improving user satisfaction and increasing the success rate of plan proposals.

[0628] The processing flow will be explained below.

[0629] Step 1:

[0630] A user accesses a monitor terminal installed inside a mass retailer.

[0631] Specific operation: The user starts operating the system by touching the "Start" button on the monitor.

[0632] Step 2:

[0633] The device will display a screen for entering basic information.

[0634] Specific operation: The device displays a form on the screen containing input fields such as family composition, mobile carrier in use, device in use, whether or not a fixed line is in use, and electricity contract status.

[0635] Step 3:

[0636] The user enters information into a form displayed on the screen.

[0637] Specific Behavior: The user enters the required information into each input field and verifies that all required fields are completed.

[0638] Step 4:

[0639] After completing the input, the user presses the "Send" button.

[0640] Specific operation: The user confirms the input and presses the "Send" button on the device to send the data.

[0641] Step 5:

[0642] The terminal transmits the input information to the server.

[0643] Specific operation: The device converts input information into packets and sends them as HTTP requests to the server via the Internet.

[0644] Step 6:

[0645] The server receives the input information.

[0646] What happens: The server receives an HTTP request, extracts the contents of the packet, and prepares to store them in a database.

[0647] Step 7:

[0648] The server analyzes the information using a database and AI models.

[0649] What it does: The server queries the database to retrieve data that matches the user's information, then inputs that data into the AI ​​model for analysis.

[0650] Step 8:

[0651] The analysis results are generated and the emotion engine recognizes the user's emotions.

[0652] Specific operation: The server generates the analysis results, and in parallel, the emotion engine analyzes the user's facial expressions, tone of voice, and body movements through the camera and microphone.

[0653] Step 9:

[0654] Adjust the analysis results based on the output of the emotion engine.

[0655] Specific operation: The server reevaluates the analysis results based on the output of the emotion engine (e.g., whether the user is interested or dissatisfied) and selects the optimal plan.

[0656] Step 10:

[0657] The server returns the adjusted analysis results to the terminal.

[0658] Specific operation: The server converts the final analysis result into JSON format data and sends it to the terminal as an HTTP response.

[0659] Step 11:

[0660] The terminal receives the analysis results and displays them to the user.

[0661] Specific operation: The device parses the JSON data of the analysis results and displays it visually to the user (e.g., plan name, price, benefits, etc.).

[0662] Step 12:

[0663] The user reviews the proposed plan and selects it.

[0664] Specific actions: The user views the proposed plan displayed on the screen, checks the details and benefits of the plan, and presses the "Subscribe to this plan" button.

[0665] Step 13:

[0666] The terminal displays the application form.

[0667] What it does: The device displays a form for completing an application, providing fields for input such as name, address, and payment method.

[0668] Step 14:

[0669] The user enters the necessary information into the application form and completes the application.

[0670] Specific operation: The user enters the required information into the application form and presses the "Complete application" button to complete the application process.

[0671] Step 15:

[0672] The terminal transmits the application data to the server.

[0673] Specific operation: The terminal converts the application data into packets and sends them to the server as an HTTP request.

[0674] Step 16:

[0675] The server receives and verifies the application.

[0676] Specific operation: The server checks the application details received and checks the validity of each item before saving it to the database.

[0677] Step 17:

[0678] The server performs the verification and approval process.

[0679] What happens: The server runs an internal authorization process to ensure the application is valid (e.g., validating a credit card).

[0680] Step 18:

[0681] The server sends a notification to the user that the application has been completed.

[0682] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[0683] This system allows users to input the necessary information and receive the best plan based on their emotional state, while also allowing for a smooth application process.

[0684] Example 2

[0685] 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."

[0686] Conventional plan proposal systems were able to make proposals based on user input information, but they were unable to propose personalized plans that took the user's emotional state into account, making it difficult to improve user satisfaction. Furthermore, because plans could not be adjusted to reflect the user's emotional state, users often lacked sufficient interest in the proposed plans. Therefore, improving the success rate of proposals was a challenge.

[0687] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0688] In this invention, the server includes terminal means for a user to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including an AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and emotion recognition means having an emotion engine for recognizing the user's emotions, collecting user emotion data using sensor means built into the display means, analyzing the user's emotional state, and reflecting the analyzed emotional state in the plan proposal. This enables personalized plan proposals that take the user's emotions into consideration, thereby improving user satisfaction and the success rate of proposals.

[0689] "Terminal means" refers to a device or equipment through which a user inputs information.

[0690] The "server means" is a computer system or server that receives information input by the terminal means.

[0691] "Analysis means" means a device or function that uses an AI model to analyze and propose an optimal plan based on user input information.

[0692] The "display means" is a device or function that displays the results generated by the analysis means and presents the proposed content to the user.

[0693] The "application means" is a function or device that supports the application procedure of the user based on the proposal contents.

[0694] An "emotion engine" is software or hardware for recognizing a user's emotions.

[0695] The "sensor means" is a device or sensor that is incorporated into the display means and that collects emotion data of the user.

[0696] "Emotion recognition means" is a function or device for analyzing collected emotion data and determining an emotional state.

[0697] The present invention is a system that combines terminal means for users to input information, server means for receiving information input by the terminal means, analysis means including an AI model that analyzes and proposes the optimal plan based on the information input by the user, display means that presents the proposed results to the user, application means that supports the user's application procedure, and an emotion engine that recognizes the user's emotions.

[0698] A specific embodiment of this system will now be described.

[0699] First, the user accesses a monitor terminal installed inside the mass retailer. When the user operates the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, and the status of the electricity contract. When the user enters this information and clicks the send button, the terminal means sends the information to the server means. When sending, the data is converted to JSON format and communicated securely via HTTPS.

[0700] The server stores the received information in a database and begins analysis using an AI model implemented in Python. This AI model uses Scikit-learn and analyzes and proposes the optimal plan for the user based on a database containing past user data, information on plans from other companies, and customer service conversations.

[0701] The emotion engine built into the display means then comes into play. The emotion engine uses TensorFlow and analyzes the user's facial expressions, tone of voice, and body movements using a camera and microphone. This allows the user's current emotional state to be recognized, and this information is sent to the server means.

[0702] The server means reflects the emotion information sent from the emotion engine in the analysis results and adjusts the plan proposal content. For example, if the user shows interest, the server means will refine the proposal content and present additional information and discount options. On the other hand, if the user seems dissatisfied, the server means will present other plan options. The adjusted proposal content is displayed to the user via the terminal means.

[0703] If the user agrees to the proposed plan, an application form will be displayed on the terminal. After the user enters the required information and completes the application, the data is sent back to the server means. The server means checks the application details against a database, checking for inconsistencies and errors, and then carries out the appropriate approval process. Once all processes are complete, the server means sends the user a notification of application completion and provides information for proceeding to the next step.

[0704] Specific examples

[0705] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and enter the necessary information. The camera captures the user's facial expression, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server confirms the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[0706] Prompt Sentence Examples

[0707] A user wants to change their mobile carrier plan. They use a device provided by a mass retailer to enter information such as their family composition and current mobile carrier. An on-screen camera captures their facial expressions, and an emotion engine determines their interest. Based on this, an AI model suggests the most suitable plan, providing detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server verifies the application and sends the user a notification that the application is complete. How does this process work?

[0708] As described above, the system of the present invention is capable of recognizing the user's emotions and proposing plans based on the user's emotional state, thereby increasing user satisfaction and the success rate of proposals.

[0709] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0710] Step 1: Collecting User Input

[0711] When a user accesses a monitor terminal installed in a mass retailer, a form appears on the screen for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not they have a fixed line, the status of their electricity contract, etc. The user enters this information and clicks the submit button.

[0712] Input: The user enters information such as family composition and the mobile carrier they are using into an input form.

[0713] Output: The input information is prepared for use in the next step, specifically as output data converted to JSON format.

[0714] Step 2: Send the input information to the server

[0715] When the user clicks the submit button, the device sends the information to the server, securely using HTTPS.

[0716] Input: The terminal converts the information entered by the user into JSON format.

[0717] Output: The data is converted to JSON format and sent to the server using HTTPS.

[0718] Step 3: Analyze the information

[0719] The server stores the received information in a database and begins analysis using an AI model implemented in Python, which uses Scikit-learn to generate the optimal plan using past data from the database and information on plans from other companies.

[0720] Input: The server receives user information in JSON format and stores it in the database.

[0721] Output: The server generates data to propose the optimal plan and prepares it to be sent to the emotion engine.

[0722] Step 4: Recognize emotions

[0723] The emotion engine built into the display uses a camera and microphone to analyze the user's facial expressions, tone of voice, and body movements, and uses TensorFlow to recognize the user's emotional state in real time.

[0724] Input: User facial expressions, tone of voice, and body movements captured via camera and microphone.

[0725] Output: The emotion engine analyzes and generates the recognized emotional state data.

[0726] Step 5: Adjust and present the plan

[0727] The server adjusts the content of the plan proposal based on the emotional state data sent from the emotion engine. For example, if the user shows interest, the server adds detailed plan information and discount options. On the other hand, if the user seems dissatisfied, the server presents a different plan. The adjusted proposal is returned to the device in JSON format and displayed on the screen.

[0728] Input: Emotional state data and parsed plan information.

[0729] Output: The adjusted plan proposal is generated in JSON format and sent to the device.

[0730] Step 6: Application support

[0731] If the user agrees to the proposed plan, an application form will be displayed on the terminal. The user enters the required information such as name, address, and contact details and clicks the application button. This information is then sent back to the server.

[0732] Input: Information entered by the user into the application form.

[0733] Output: The application information is converted to JSON format and sent to the server.

[0734] Step 7: Application review and approval

[0735] The server stores the received application information in a database and cross-checks it. After checking for inconsistencies and errors, it implements the appropriate approval process. Once all processes are complete, the server sends the user a notification that the application has been completed and provides information on how to proceed to the next step.

[0736] Input: The server receives the application information and stores it in a database.

[0737] Output: The application details are reviewed and approved, and a notification of application completion is sent to the user.

[0738] (Application example 2)

[0739] 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."

[0740] Current product and service suggestion systems in brick-and-mortar stores generally make uniform suggestions without considering the user's emotional state. This can result in a lack of optimal suggestions for the user, which can reduce user satisfaction and purchasing motivation. Furthermore, in-store guidance and suggestions are inefficient, making it difficult to instantly provide optimal information to specific users.

[0741] The identification process by the identification 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 an input device means for a user to input information, an information receiving means for receiving the information input by the input device means, an analysis means connected to the information receiving means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and presenting the proposal content to the user, the display means including an emotion recognition engine that recognizes the user's emotions, a means for adjusting the proposal content based on the user's emotional state, an application means for supporting the user's application procedure based on the adjusted proposal content, a means for the user to use smart glasses to input information, and a means for analyzing the user's emotions in real time using the smart glasses. This enables optimal proposals to be made in real time based on the user's emotional state. Furthermore, by using the smart glasses, users can obtain necessary information at any time while freely walking around the store, allowing them to receive optimal proposals in real time.

[0742] "Input device means" refers to a device for a user to input information.

[0743] The term "information receiving means" refers to a device having a function of receiving information input by an input device means.

[0744] A "generative AI model" refers to an artificial intelligence model that analyzes and proposes the optimal plan based on user input information.

[0745] "Analysis means" refers to a device or system that includes a generative AI model and generates an optimal plan based on user input information.

[0746] The "display means" refers to a device or system that displays the results generated by the analysis means and presents the proposed content to the user.

[0747] An "emotion recognition engine" refers to software or hardware for recognizing a user's emotions.

[0748] "Adjusting means" refers to a device or system that has the functionality to appropriately change the displayed suggestions based on the user's emotional state.

[0749] The "application means" refers to a device or system that supports the user when applying for a plan based on the proposed plan.

[0750] "Smart glasses" refers to a wearable device in the form of glasses that has a built-in display, camera, and microphone.

[0751] "Means for analyzing in real time" refers to a device or system for analyzing a user's emotions in real time.

[0752] A system embodying the present invention includes an input device means for a user to input information, an information receiving means, an analysis means including a generative AI model, a display means including an emotion recognition engine, an adjustment means, an application means, and smart glasses for analyzing a user's emotions in real time.

[0753] As a specific example, consider a case where a user wears smart glasses and walks around a physical store looking for a product or service plan. This system uses the following hardware and software:

[0754] Hardware

[0755] Smart glasses: These glasses have a built-in display, camera, and microphone, and are capable of collecting and displaying user input.

[0756] Server: Receives and analyzes the information sent from the input device means.

[0757] software

[0758] Generative AI model: Analyzes and proposes optimal plans based on user input.

[0759] Emotion recognition engine (such as DeepFace): An engine that recognizes emotions by analyzing the user's facial expressions and tone of voice.

[0760] Operation explanation

[0761] While a user wears the smart glasses and walks around a physical store, the smart glasses' camera and microphone capture the user's facial expressions and voice, which are then sent in real time to an emotion recognition engine to analyze the user's current emotional state.

[0762] In the analysis means, the server combines information previously input by the user via the information receiving means (e.g., age, interests, currently used communication services, etc.) with the emotional state acquired in real time, and generates optimal suggestions using a generative AI model. The generated suggestions are then displayed on the display of the smart glasses via the display means.

[0763] The display is equipped with an emotion recognition engine that adjusts the suggestions based on the user's emotional state. For example, if the user shows interest, detailed information or special promotions will be displayed.

[0764] If the user agrees to the proposal, the application method is activated and an interface for entering the necessary application information is displayed on the smart glasses display. Once the user has entered the information and completed the application procedure, the application data is sent to the server, where a confirmation and approval process is carried out. As a result, the user is notified that the application has been completed.

[0765] Specific examples

[0766] When a user wears smart glasses and walks through a physical store, a message appears on the display asking, "Are you looking for a new mobile phone plan?" If the user's facial expression indicates interest, the system will suggest the most suitable mobile phone plan based on information about the user's existing provider and the device they are using. Detailed information such as "This plan is available at a limited-time discount" will be displayed.

[0767] Prompt Sentence Examples

[0768] A user wears smart glasses and walks through a brick-and-mortar store. The camera and microphone capture the user's facial expressions and voice to recognize the dominant emotion. Based on the recognized emotion and pre-collected user data, suggest the best product plan. If the user shows interest, show them more information or promotions.

[0769] This system allows users to receive emotionally appropriate product suggestions in real time in physical stores, improving the shopping experience.

[0770] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0771] Step 1:

[0772] A user wears smart glasses and inputs information while walking around a physical store. The smart glasses' camera and microphone capture the user's facial expressions and voice. This information is acquired in real time by the input device means. The input device means transmits this facial expression and voice data as input information to the information receiving means.

[0773] Step 2:

[0774] The information receiving means receives the facial expression data and voice data sent from the input device means and sends them to an emotion recognition engine. The emotion recognition engine (DeepFace, etc.) analyzes the facial expression data and voice data and recognizes the user's dominant emotional state (interest, satisfaction, dissatisfaction, etc.). The user's current emotional state is generated as a result of the analysis.

[0775] Step 3:

[0776] The server acquires the user's pre-entered basic information (age, interests, currently used communication services, etc.) via the information receiving means. This information is stored in a database. The server uses a generative AI model to generate the optimal proposed plan for the user based on the acquired basic information and the user's emotional state recognized in real time.

[0777] Step 4:

[0778] The proposed plan is generated as a result by the analysis means and sent to the display means. The display means has a built-in emotion recognition engine and continuously acquires emotional data such as the user's facial expressions and tone of voice in real time. The display means adjusts the proposed plan according to the user's emotional state based on this emotional data. For example, if the user shows interest, detailed information or special promotions are added.

[0779] Step 5:

[0780] The adjusted proposal plan is displayed on the display of the smart glasses. The user checks the proposal content through the smart glasses and, if interested, selects an option to proceed with the application procedure. The display means transmits the option information selected by the user to the server in real time.

[0781] Step 6:

[0782] If the user agrees to the proposal, the server displays an interface on the smart glasses display to start the application process. The user inputs the necessary information through the presented interface and proceeds with the application process. The input information is sent to the server via the information receiving means.

[0783] Step 7:

[0784] The server analyzes the entered application information and checks it against a database. Once all processes are confirmed, the server approves the application. Finally, a notification of the completion of the application process is displayed on the smart glasses display. The user can then receive information on how to proceed to the next step.

[0785] At each step, the process is streamlined and optimal suggestions based on user sentiment are made in real time, improving the shopping experience in physical stores and providing more personalized service.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] [Third embodiment]

[0790] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0791] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0792] 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).

[0793] 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.

[0794] 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.

[0795] 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).

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] 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."

[0802] The present invention is a system including a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including an AI model for analyzing and proposing an optimal plan based on the information input by the user, a display means for displaying the results generated by the analysis means and presenting the proposal to the user, and an application means for supporting the user's application procedure based on the proposal. Specific embodiments for implementing this system are described below.

[0803] System Overview

[0804] This system begins when a user accesses a monitor terminal installed in a mass retailer. The terminal means receives input information from the user and transmits that information to the server means. Data analyzed by the server means is presented to the user via the display means to provide the user with the most suitable plan and its details. If the user agrees to the proposed plan, the terminal means supports the procedures required for application, and the information is again transmitted to the server means for final confirmation and approval.

[0805] Program processing

[0806] Receiving and sending input information

[0807] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits the necessary information, the terminal means transmits the information to the server means.

[0808] Analysis of information

[0809] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[0810] Presenting the plan

[0811] The terminal device displays the analysis results received from the server device and presents the user with the most suitable plan, with the display device providing details of the plan, its price, benefits, etc. in a visually easy-to-understand format.

[0812] Support for application procedures

[0813] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user completes the application by entering the necessary information in the form, the data is sent to the server means.

[0814] Review and approval of content

[0815] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[0816] Specific examples

[0817] For example, if a user wants to change their mobile carrier plan at a mass retailer, the user accesses a monitor terminal and enters the necessary information. The information entered by the user is sent to the server means, where it is analyzed by an AI model. The optimal plan is presented, and once the user selects a plan and completes the application procedure, the server means verifies the application details and finally sends a notification to the user that the application has been completed. This allows the user to quickly and efficiently select the service plan that is best suited to them and complete the application.

[0818] In this way, the system provides users with consistent, high-quality plan proposals and application procedures, making it possible to provide appropriate service to users even when the store's staff is absent or the staff is new.

[0819] The processing flow will be explained below.

[0820] Step 1:

[0821] The user accesses a monitor terminal in a mass retailer.

[0822] Specific action: The user touches the "Start" button on the monitor.

[0823] Step 2:

[0824] The device will display a screen for entering basic information.

[0825] Specific operation: The device displays a form on the screen that asks users to enter information such as family composition, the mobile carrier in use, the device in use, whether or not they have a fixed line, and the status of their electricity contract.

[0826] Step 3:

[0827] The user enters information into a form displayed on the screen.

[0828] Specific operation: The user enters the required information into each input field. For example, the user enters "4 people" for family size, "Carrier A" for the mobile carrier in use, and "3 smartphones, 1 tablet" for the devices used.

[0829] Step 4:

[0830] After completing the input, the user presses the "Send" button.

[0831] Specific operation: The user checks the input and presses the "Send" button on the device.

[0832] Step 5:

[0833] The terminal transmits the input information to the server.

[0834] Specific operation: The terminal converts the user's input information into packets and sends them to the server as an HTTP request.

[0835] Step 6:

[0836] The server receives the input information.

[0837] Specific operation: The server receives the HTTP request and performs preprocessing to save it in the database.

[0838] Step 7:

[0839] The server analyzes the information using a database and AI models.

[0840] How it works: The server queries the database for user information to retrieve the necessary data, then inputs that data into the AI ​​model for analysis. The analysis also uses past plan information and customer service conversation data from highly successful crew members.

[0841] Step 8:

[0842] The server generates the analysis results and sends them back to the terminal.

[0843] Specific operation: The server converts the analysis results of the AI ​​model into JSON format data and sends it to the device as a response.

[0844] Step 9:

[0845] The terminal receives the analysis results and displays them to the user.

[0846] What it does: The device parses the received JSON data and displays it on the screen in a human-friendly format, such as a list of the best plan types, prices, and benefits.

[0847] Step 10:

[0848] The user reviews the proposed plan and selects it.

[0849] Specific behavior: The user checks the displayed plan details and presses the "Subscribe to this plan" button.

[0850] Step 11:

[0851] The terminal displays the application form.

[0852] Specific operation: The terminal displays an application form on the screen and prompts the user to enter necessary information such as name, address, and payment method.

[0853] Step 12:

[0854] The user enters the necessary information into the application form and completes the application.

[0855] Specific operation: The user enters the required information into the application form and presses the "Complete application" button.

[0856] Step 13:

[0857] The terminal transmits the application data to the server.

[0858] Specific operation: The terminal converts the application details into packets and sends them to the server as an HTTP request.

[0859] Step 14:

[0860] The server receives and verifies the application.

[0861] Specific behavior: The server receives the application data and checks the validity of each item before saving it to the database.

[0862] Step 15:

[0863] The server performs the verification and approval process.

[0864] What happens: The server performs an internal authorization process to ensure the application is valid, for example by validating the credit card.

[0865] Step 16:

[0866] The server sends a notification to the user that the application has been completed.

[0867] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[0868] In this way, the system analyzes the information entered by the user, proposes the optimal plan, and provides consistent support right up to the application process.

[0869] Example 1

[0870] 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."

[0871] Current in-store service plan proposal and application systems have the problem that it is difficult for users to efficiently find the most suitable plan, and the application process is cumbersome. In particular, when store staff are absent or new staff are handling the application, it is difficult to provide users with consistent, high-quality service. This can result in a decrease in user satisfaction and a prolonged application process.

[0872] 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.

[0873] In this invention, the server includes a terminal means for users to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and visually presenting the details, price, benefits, etc. of the optimal plan to the user, an application means for supporting the user's application procedure based on the proposal content and retransmitting the input application information to the server, and a means for confirming and approving the application information received by the server means and sending the user a notification of application completion. This allows users to efficiently select the service plan that is optimal for them and quickly complete the application procedure. Furthermore, consistent, high-quality service can be provided to users even when store staff are absent.

[0874] A "terminal means" is a device for a user to input information.

[0875] The "server means" is a system having a function of receiving information input by the terminal means.

[0876] The "analysis means" is a system that is connected to the server means and includes a generative AI model that analyzes and proposes an optimal plan based on information input by the user.

[0877] The "display means" is a system that has the function of displaying the results generated by the analysis means and visually presenting details, prices, advantages, etc. of the most suitable plan to the user.

[0878] The "application means" is a system that supports the user's application procedure based on the proposed content and includes a process for retransmitting the input application information to the server.

[0879] A "generative AI model" is an artificial intelligence algorithm that uses a database to analyze user input information and propose the optimal plan.

[0880] The "database" is an information management system that stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies.

[0881] This invention is a system including terminal means for users to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including a generative AI model that analyzes and proposes the optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and visually presenting the details, price, advantages, etc. of the optimal plan to the user, application means for supporting the user's application procedure based on the proposed content and resending the input application information to the server, and means for confirming and approving the application information received by the server means and sending the user a notification of application completion.

[0882] First, the user accesses a monitor terminal installed inside the mass retailer. The terminal means provides an intuitive UI to prompt the user to input information. Specifically, a form is displayed for inputting information such as family composition, the mobile communication service provider currently under contract, the device used, whether or not a fixed communication line is used, and the status of the electricity service contract. When the user inputs the necessary information and presses the send button, the terminal means temporarily stores the input information and immediately sends it to the server means.

[0883] The server means analyzes the information received from the terminal means using a database and a generative AI model. The database stores past user data, information on optimal plans, customer service talk of highly successful crew members, and information on plans from other companies. The generative AI model analyzes this data and identifies the plan that best suits the user's needs.

[0884] Next, the server means transmits the analysis results to the terminal means. The terminal means displays the received results to the user. The display means presents the user with information such as plan details, prices, and benefits using visually easy-to-understand graphs and charts. This allows the user to compare multiple plans and make the best selection.

[0885] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user enters the necessary information such as name, address, and contact details and presses the application button, the information is again sent to the server means. The server means again checks the received application information in the database to ensure that all conditions are met.

[0886] Finally, the server approves the application and sends the user a notification of application completion. The notification includes a link explaining the next steps and a link to download the necessary documents. This allows the user to efficiently complete the application process.

[0887] Below are some example prompts to input to the generative AI model:

[0888] Please describe the steps a user takes to complete the application process by entering information such as family composition, current mobile phone service provider, devices used, whether or not they have a fixed line, and their electricity service contract status on a monitor terminal installed at a mass retailer. Also, please include specific operations and actions of the user, device, and server for each step.

[0889] As described above, this system allows users to enter the necessary information, select the optimal plan based on the analysis results, and quickly complete the application process, thereby providing consistent, high-quality service and improving user satisfaction.

[0890] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0891] Step 1: Enter your information

[0892] User: The user accesses a monitor terminal in a mass retailer. The terminal displays an intuitive UI to prompt the user for input, and displays a form for entering information such as family composition, the mobile communication service provider in use, the device being used, whether or not there is a fixed line, and the status of the electricity service contract.

[0893] Input: Family composition, mobile communication service in use, devices used, presence of fixed line, electricity contract status

[0894] Output: Input information is temporarily saved on the device.

[0895] Step 2: Send information

[0896] Terminal: Receives the information entered by the user and temporarily stores it. The terminal then sends the stored information to the server.

[0897] Input: Various information entered by the user

[0898] Output: The input information is sent to the server.

[0899] Step 3: Receiving information

[0900] Server: The server receives the user information sent from the device and prepares for data analysis based on the received information.

[0901] Input: User information sent from the device

[0902] Output: User information is saved on the server.

[0903] Step 4: Information analysis

[0904] Server: The server analyzes the received information using a database and a generative AI model. The database contains past user data and information on optimal plans, and the AI ​​model uses this data to propose the optimal plan for the user.

[0905] Input: User information, past user data, optimal plan information, customer service talk of highly successful crew members, plan information of other companies

[0906] Output: The best plan is analyzed for the user.

[0907] Step 5: Send results

[0908] Server: The server sends the generated analysis results to the device.

[0909] Input: Analysis results

[0910] Output: The analysis results are sent to the terminal.

[0911] Step 6: View the results

[0912] Terminal: The terminal receives the analysis results from the server and presents them to the user in a visually understandable format, showing plan details, prices, benefits, etc. in graphs and charts.

[0913] Input: Analysis results sent from the server

[0914] Output: Plan details, pricing, benefits, etc. are displayed to the user.

[0915] Step 7: Application process

[0916] User: The user agrees to the proposed plan.

[0917] Terminal: Displays the application form and the user enters the required information (name, address, contact details, etc.).

[0918] Input: User application information

[0919] Output: The application information is saved on the device.

[0920] Step 8: Submit your application

[0921] Terminal: Sends the entered application information to the server.

[0922] Input: Application information

[0923] Output: The application information is sent to the server.

[0924] Step 9: Application information received and confirmed

[0925] Server: The server receives the application information sent from the terminal and checks it against the database again to make sure the application information is accurate and meets all requirements.

[0926] Input: Application information sent from the terminal

[0927] Output: The application information is verified.

[0928] Step 10: Application completion notification

[0929] Server: The server will confirm and approve the application information and send a notification to the user that the application has been completed. The notification will also include information on next steps.

[0930] Input: Confirmed application information

[0931] Output: A notification of application completion is sent to the user.

[0932] (Application example 1)

[0933] 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."

[0934] In conventional food delivery systems, it takes a lot of time and effort for users to select a meal plan that suits them. It is also difficult to determine the best plan based on the user's preferences, allergies, budget, etc., which can result in an unsatisfactory service experience. Therefore, there is a need for a system that can quickly and accurately propose the optimal food delivery plan based on the user's input information and support the application process.

[0935] 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.

[0936] In this invention, the server includes terminal means for a user to provide input information, means for receiving information input by the terminal means, analysis means including a generative AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and means for proposing an optimal food delivery plan based on information such as the user's dietary preferences, allergy information, budget, meal timing, etc. This enables users to quickly and efficiently find a food delivery plan that best suits their preferences and requirements, and to smoothly complete the application procedure.

[0937] "Terminal means" refers to a device through which a user inputs information, such as a smartphone, PC, or tablet.

[0938] The "server means" is a computer system that receives information sent from users and performs analysis and data management.

[0939] The "analysis means" is a function that is connected to the server means and includes a generative AI model that analyzes and proposes the optimal plan based on the information input by the user.

[0940] The "display means" is a mechanism including a display or monitor for visually presenting the results generated by the analysis means to the user.

[0941] The "application means" is a mechanism for providing the interface and support functions necessary when a user carries out application procedures based on the proposal contents.

[0942] A "generative AI model" is a program that includes an artificial intelligence algorithm for analyzing and proposing optimal plans based on user input information.

[0943] "Food preferences" is information about a user's tendency to like specific types of food or cuisine.

[0944] "Allergy information" is information about a user's allergic reaction to a particular food ingredient or component.

[0945] "Budget" is information indicating the range of amounts that a user can spend on food delivery.

[0946] "Meal timing" is information about a specific time period for a user to eat meals.

[0947] "Food delivery plan" refers to a meal menu and delivery plan optimized to the user's preferences and conditions.

[0948] The following describes in detail the mode for carrying out this invention. The present invention comprises a system that allows a user to input information, proposes the optimal food delivery plan, and supports the application process. Here, we will introduce an example in which a user uses the system using a smartphone.

[0949] First, the user starts the smartphone application and inputs information such as dietary preferences, allergy information, budget, meal timings, etc. This information is received by the server means and stored in a database.

[0950] The server then uses the generative AI model to analyze and propose an optimal food delivery plan based on the received user information. The analysis means considers the user's past order history and current store information to derive the optimal plan.

[0951] The server displays the generated results on the user's smartphone. The display provides plan details, prices, benefits, etc. in a visually easy-to-understand manner. The user can view the proposed plans and select the one they like best.

[0952] If the user agrees to the plan, the application process will begin. The terminal device will display an application form, and the user will enter and confirm the necessary information. This completes the application process, and the data will be sent back to the server device.

[0953] The server means checks the received application information in a database, and after going through the most appropriate approval process, finally sends a completion notice to the user.

[0954] As an example of the system, suppose a user has an allergy to a specific ingredient, prefers Japanese food, and wants to use food delivery for lunch within a budget of 1,000 to 1,500 yen. The user launches the smartphone app and enters this information. Based on the entered information, the generative AI model proposes the optimal Japanese food delivery plan. The user reviews the proposal, agrees, and then completes the application process. Through this process, a delivery plan tailored to the user's specific requirements is provided.

[0955] Example prompt sentence:

[0956] "I like Japanese food, I'm allergic to peanuts, my budget is 1,000 to 1,500 yen, and I eat at lunchtime."

[0957] In this way, the present invention provides a system that quickly provides the optimal food delivery plan tailored to the user's needs and supports efficient application procedures.

[0958] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0959] Step 1:

[0960] The user launches the smartphone application and enters information such as dietary preferences, allergy information, budget, and meal timings.

[0961] Input: User's dietary information (e.g., preference for Japanese food, peanut allergy, budget 1,000-1,500 yen, lunch)

[0962] Output: The input information is sent by the terminal means to the server means.

[0963] Specific operation: When a user enters various information into the input form and presses the "Submit" button, the information is sent to the server as an HTTP request.

[0964] Step 2:

[0965] The server means receives the input information sent by the user and stores it in a database.

[0966] Input: The input information submitted by the user.

[0967] Output: The input information is saved in a database.

[0968] Specific operation: The server analyzes the received HTTP request and stores the information in the database using an INSERT query.

[0969] Step 3:

[0970] The server means uses the generated AI model to analyze the user's input information and propose the optimal food delivery plan.

[0971] Input: User input information stored in the database.

[0972] Output: Optimal food delivery plan suggestions.

[0973] Specific operation: The server retrieves user information from the database and inputs it into the generative AI model, which then uses past data and algorithms to generate the optimal plan.

[0974] Step 4:

[0975] The server means transmits the analysis results to the user's smartphone, and the display means displays the proposal content.

[0976] Input: Optimal food delivery plan proposed by a generative AI model.

[0977] Output: The suggestions displayed in the user's smartphone app.

[0978] Specific operation: The server sends the proposal to the user's device as an HTTP response, and the application receives the response and displays it on the screen.

[0979] Step 5:

[0980] The user confirms the proposed food delivery plan and, if they agree, proceeds to the application procedure. The terminal means displays the application form, and the user enters and confirms the necessary information.

[0981] Input: User consent and any additional information required for registration.

[0982] Output: The application information is sent from the terminal means to the server means.

[0983] Specific operation: When the user presses the "Agree" button on the confirmation screen, enters the required information in the application form, and presses the "Submit" button, the information is sent again to the server as an HTTP request.

[0984] Step 6:

[0985] The server means checks the received application information in a database, and after an approval process, finally sends a notification of application completion to the user.

[0986] Input: Application information sent from the terminal means.

[0987] Output: Notification to the user that the application has been completed.

[0988] Specific operation: The server stores the application information in a database and performs the necessary confirmation and approval processes. Once approval is complete, a completion notification is sent to the user's smartphone via an HTTP response.

[0989] In this way, a system can be realized that utilizes a generative AI model based on user input information to propose the optimal food delivery plan and complete the application process quickly and efficiently.

[0990] 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.

[0991] The present invention is a system that includes a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means including an AI model that analyzes and proposes an optimal plan based on the information input by the user, a display means that presents the proposed results to the user, and an application means that supports the user's application procedure, and further combines this with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this system are described below.

[0992] System Overview

[0993] This system begins when a user stands in front of a monitor terminal installed inside a mass retailer and operates the terminal means to input their own information. The input information is sent from the terminal means to the server means, which then analyzes the information using a database and AI model. Furthermore, the display means has a built-in emotion engine that can recognize the user's emotions and adjust the content of the proposal accordingly. This makes it possible to propose the optimal plan based on the user's emotions.

[0994] Program processing

[0995] Receiving and sending input information

[0996] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits this information, the terminal means transmits the information to the server means.

[0997] Analysis of information

[0998] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talks by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[0999] Emotion recognition

[1000] The emotion engine built into the display means recognizes the user's emotional state by analyzing the user's facial expressions, tone of voice, and body movements. The emotion engine collects user's emotional data using multiple sensors (camera, microphone, etc.).

[1001] Coordinating and presenting plans

[1002] After the emotion engine recognizes the user's emotional state, the server means adjusts the analysis results based on that information. For example, if the user appears interested, the server means refines the proposal and presents additional information or discount options. On the other hand, if the user appears dissatisfied, the server means presents alternative plan options. The adjusted proposals are presented to the user via the terminal means.

[1003] Support for application procedures

[1004] If the user agrees to the proposed plan, an application form is displayed. When the user enters the necessary information into the form and completes the application, the data is sent to the server means.

[1005] Review and approval of content

[1006] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[1007] Specific examples

[1008] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and input the necessary information. The user's facial expressions are captured by a camera, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server device verifies the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[1009] In this way, the system can provide more personalized services by recognizing the user's emotions and making suggestions based on their emotional state, thereby improving user satisfaction and increasing the success rate of plan proposals.

[1010] The processing flow will be explained below.

[1011] Step 1:

[1012] A user accesses a monitor terminal installed inside a mass retailer.

[1013] Specific operation: The user starts operating the system by touching the "Start" button on the monitor.

[1014] Step 2:

[1015] The device will display a screen for entering basic information.

[1016] Specific operation: The device displays a form on the screen containing input fields such as family composition, mobile carrier in use, device in use, whether or not a fixed line is in use, and electricity contract status.

[1017] Step 3:

[1018] The user enters information into a form displayed on the screen.

[1019] Specific Behavior: The user enters the required information into each input field and verifies that all required fields are completed.

[1020] Step 4:

[1021] After completing the input, the user presses the "Send" button.

[1022] Specific operation: The user confirms the input and presses the "Send" button on the device to send the data.

[1023] Step 5:

[1024] The terminal transmits the input information to the server.

[1025] Specific operation: The device converts input information into packets and sends them as HTTP requests to the server via the Internet.

[1026] Step 6:

[1027] The server receives the input information.

[1028] What happens: The server receives an HTTP request, extracts the contents of the packet, and prepares to store them in a database.

[1029] Step 7:

[1030] The server analyzes the information using a database and AI models.

[1031] What it does: The server queries the database to retrieve data that matches the user's information, then inputs that data into the AI ​​model for analysis.

[1032] Step 8:

[1033] The analysis results are generated and the emotion engine recognizes the user's emotions.

[1034] Specific operation: The server generates the analysis results, and in parallel, the emotion engine analyzes the user's facial expressions, tone of voice, and body movements through the camera and microphone.

[1035] Step 9:

[1036] Adjust the analysis results based on the output of the emotion engine.

[1037] Specific operation: The server reevaluates the analysis results based on the output of the emotion engine (e.g., whether the user is interested or dissatisfied) and selects the optimal plan.

[1038] Step 10:

[1039] The server returns the adjusted analysis results to the terminal.

[1040] Specific operation: The server converts the final analysis result into JSON format data and sends it to the terminal as an HTTP response.

[1041] Step 11:

[1042] The terminal receives the analysis results and displays them to the user.

[1043] Specific operation: The device parses the JSON data of the analysis results and displays it visually to the user (e.g., plan name, price, benefits, etc.).

[1044] Step 12:

[1045] The user reviews the proposed plan and selects it.

[1046] Specific actions: The user views the proposed plan displayed on the screen, checks the details and benefits of the plan, and presses the "Subscribe to this plan" button.

[1047] Step 13:

[1048] The terminal displays the application form.

[1049] What it does: The device displays a form for completing an application, providing fields for input such as name, address, and payment method.

[1050] Step 14:

[1051] The user enters the necessary information into the application form and completes the application.

[1052] Specific operation: The user enters the required information into the application form and presses the "Complete application" button to complete the application process.

[1053] Step 15:

[1054] The terminal transmits the application data to the server.

[1055] Specific operation: The terminal converts the application data into packets and sends them to the server as an HTTP request.

[1056] Step 16:

[1057] The server receives and verifies the application.

[1058] Specific operation: The server checks the application details received and checks the validity of each item before saving it to the database.

[1059] Step 17:

[1060] The server performs the verification and approval process.

[1061] What happens: The server runs an internal authorization process to ensure the application is valid (e.g., validating a credit card).

[1062] Step 18:

[1063] The server sends a notification to the user that the application has been completed.

[1064] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[1065] This system allows users to input the necessary information and receive the best plan based on their emotional state, while also allowing for a smooth application process.

[1066] Example 2

[1067] 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."

[1068] Conventional plan proposal systems were able to make proposals based on user input information, but they were unable to propose personalized plans that took the user's emotional state into account, making it difficult to improve user satisfaction. Furthermore, because plans could not be adjusted to reflect the user's emotional state, users often lacked sufficient interest in the proposed plans. Therefore, improving the success rate of proposals was a challenge.

[1069] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1070] In this invention, the server includes terminal means for a user to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including an AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and emotion recognition means having an emotion engine for recognizing the user's emotions, collecting user emotion data using sensor means built into the display means, analyzing the user's emotional state, and reflecting the analyzed emotional state in the plan proposal. This enables personalized plan proposals that take the user's emotions into consideration, thereby improving user satisfaction and the success rate of proposals.

[1071] "Terminal means" refers to a device or equipment through which a user inputs information.

[1072] The "server means" is a computer system or server that receives information input by the terminal means.

[1073] "Analysis means" means a device or function that uses an AI model to analyze and propose an optimal plan based on user input information.

[1074] The "display means" is a device or function that displays the results generated by the analysis means and presents the proposed content to the user.

[1075] The "application means" is a function or device that supports the application procedure of the user based on the proposal contents.

[1076] An "emotion engine" is software or hardware for recognizing a user's emotions.

[1077] The "sensor means" is a device or sensor that is incorporated into the display means and that collects emotion data of the user.

[1078] "Emotion recognition means" is a function or device for analyzing collected emotion data and determining an emotional state.

[1079] The present invention is a system that combines terminal means for users to input information, server means for receiving information input by the terminal means, analysis means including an AI model that analyzes and proposes the optimal plan based on the information input by the user, display means that presents the proposed results to the user, application means that supports the user's application procedure, and an emotion engine that recognizes the user's emotions.

[1080] A specific embodiment of this system will now be described.

[1081] First, the user accesses a monitor terminal installed inside the mass retailer. When the user operates the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, and the status of the electricity contract. When the user enters this information and clicks the send button, the terminal means sends the information to the server means. When sending, the data is converted to JSON format and communicated securely via HTTPS.

[1082] The server stores the received information in a database and begins analysis using an AI model implemented in Python. This AI model uses Scikit-learn and analyzes and proposes the optimal plan for the user based on a database containing past user data, information on plans from other companies, and customer service conversations.

[1083] The emotion engine built into the display means then comes into play. The emotion engine uses TensorFlow and analyzes the user's facial expressions, tone of voice, and body movements using a camera and microphone. This allows the user's current emotional state to be recognized, and this information is sent to the server means.

[1084] The server means reflects the emotion information sent from the emotion engine in the analysis results and adjusts the plan proposal content. For example, if the user shows interest, the server means will refine the proposal content and present additional information and discount options. On the other hand, if the user seems dissatisfied, the server means will present other plan options. The adjusted proposal content is displayed to the user via the terminal means.

[1085] If the user agrees to the proposed plan, an application form will be displayed on the terminal. After the user enters the required information and completes the application, the data is sent back to the server means. The server means checks the application details against a database, checking for inconsistencies and errors, and then carries out the appropriate approval process. Once all processes are complete, the server means sends the user a notification of application completion and provides information for proceeding to the next step.

[1086] Specific examples

[1087] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and enter the necessary information. The camera captures the user's facial expression, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server confirms the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[1088] Prompt Sentence Examples

[1089] A user wants to change their mobile carrier plan. They use a device provided by a mass retailer to enter information such as their family composition and current mobile carrier. An on-screen camera captures their facial expressions, and an emotion engine determines their interest. Based on this, an AI model suggests the most suitable plan, providing detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server verifies the application and sends the user a notification that the application is complete. How does this process work?

[1090] As described above, the system of the present invention is capable of recognizing the user's emotions and proposing plans based on the user's emotional state, thereby increasing user satisfaction and the success rate of proposals.

[1091] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1092] Step 1: Collecting User Input

[1093] When a user accesses a monitor terminal installed in a mass retailer, a form appears on the screen for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not they have a fixed line, the status of their electricity contract, etc. The user enters this information and clicks the submit button.

[1094] Input: The user enters information such as family composition and the mobile carrier they are using into an input form.

[1095] Output: The input information is prepared for use in the next step, specifically as output data converted to JSON format.

[1096] Step 2: Send the input information to the server

[1097] When the user clicks the submit button, the device sends the information to the server, securely using HTTPS.

[1098] Input: The terminal converts the information entered by the user into JSON format.

[1099] Output: The data is converted to JSON format and sent to the server using HTTPS.

[1100] Step 3: Analyze the information

[1101] The server stores the received information in a database and begins analysis using an AI model implemented in Python, which uses Scikit-learn to generate the optimal plan using past data from the database and information on plans from other companies.

[1102] Input: The server receives user information in JSON format and stores it in the database.

[1103] Output: The server generates data to propose the optimal plan and prepares it to be sent to the emotion engine.

[1104] Step 4: Recognize emotions

[1105] The emotion engine built into the display uses a camera and microphone to analyze the user's facial expressions, tone of voice, and body movements, and uses TensorFlow to recognize the user's emotional state in real time.

[1106] Input: User facial expressions, tone of voice, and body movements captured via camera and microphone.

[1107] Output: The emotion engine analyzes and generates the recognized emotional state data.

[1108] Step 5: Adjust and present the plan

[1109] The server adjusts the content of the plan proposal based on the emotional state data sent from the emotion engine. For example, if the user shows interest, the server adds detailed plan information and discount options. On the other hand, if the user seems dissatisfied, the server presents a different plan. The adjusted proposal is returned to the device in JSON format and displayed on the screen.

[1110] Input: Emotional state data and parsed plan information.

[1111] Output: The adjusted plan proposal is generated in JSON format and sent to the device.

[1112] Step 6: Application support

[1113] If the user agrees to the proposed plan, an application form will be displayed on the terminal. The user enters the required information such as name, address, and contact details and clicks the application button. This information is then sent back to the server.

[1114] Input: Information entered by the user into the application form.

[1115] Output: The application information is converted to JSON format and sent to the server.

[1116] Step 7: Application review and approval

[1117] The server stores the received application information in a database and cross-checks it. After checking for inconsistencies and errors, it implements the appropriate approval process. Once all processes are complete, the server sends the user a notification that the application has been completed and provides information on how to proceed to the next step.

[1118] Input: The server receives the application information and stores it in a database.

[1119] Output: The application details are reviewed and approved, and a notification of application completion is sent to the user.

[1120] (Application example 2)

[1121] 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."

[1122] Current product and service suggestion systems in brick-and-mortar stores generally make uniform suggestions without considering the user's emotional state. This can result in a lack of optimal suggestions for the user, which can reduce user satisfaction and purchasing motivation. Furthermore, in-store guidance and suggestions are inefficient, making it difficult to instantly provide optimal information to specific users.

[1123] The identification process by the identification 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 an input device means for a user to input information, an information receiving means for receiving the information input by the input device means, an analysis means connected to the information receiving means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and presenting the proposal content to the user, the display means including an emotion recognition engine that recognizes the user's emotions, a means for adjusting the proposal content based on the user's emotional state, an application means for supporting the user's application procedure based on the adjusted proposal content, a means for the user to use smart glasses to input information, and a means for analyzing the user's emotions in real time using the smart glasses. This enables optimal proposals to be made in real time based on the user's emotional state. Furthermore, by using the smart glasses, users can obtain necessary information at any time while freely walking around the store, allowing them to receive optimal proposals in real time.

[1124] "Input device means" refers to a device for a user to input information.

[1125] The term "information receiving means" refers to a device having a function of receiving information input by an input device means.

[1126] A "generative AI model" refers to an artificial intelligence model that analyzes and proposes the optimal plan based on user input information.

[1127] "Analysis means" refers to a device or system that includes a generative AI model and generates an optimal plan based on user input information.

[1128] The "display means" refers to a device or system that displays the results generated by the analysis means and presents the proposed content to the user.

[1129] An "emotion recognition engine" refers to software or hardware for recognizing a user's emotions.

[1130] "Adjusting means" refers to a device or system that has the functionality to appropriately change the displayed suggestions based on the user's emotional state.

[1131] The "application means" refers to a device or system that supports the user when applying for a plan based on the proposed plan.

[1132] "Smart glasses" refers to a wearable device in the form of glasses that has a built-in display, camera, and microphone.

[1133] "Means for analyzing in real time" refers to a device or system for analyzing a user's emotions in real time.

[1134] A system embodying the present invention includes an input device means for a user to input information, an information receiving means, an analysis means including a generative AI model, a display means including an emotion recognition engine, an adjustment means, an application means, and smart glasses for analyzing a user's emotions in real time.

[1135] As a specific example, consider a case where a user wears smart glasses and walks around a physical store looking for a product or service plan. This system uses the following hardware and software:

[1136] Hardware

[1137] Smart glasses: These glasses have a built-in display, camera, and microphone, and are capable of collecting and displaying user input.

[1138] Server: Receives and analyzes the information sent from the input device means.

[1139] software

[1140] Generative AI model: Analyzes and proposes optimal plans based on user input.

[1141] Emotion recognition engine (such as DeepFace): An engine that recognizes emotions by analyzing the user's facial expressions and tone of voice.

[1142] Operation explanation

[1143] While a user wears the smart glasses and walks around a physical store, the smart glasses' camera and microphone capture the user's facial expressions and voice, which are then sent in real time to an emotion recognition engine to analyze the user's current emotional state.

[1144] In the analysis means, the server combines information previously input by the user via the information receiving means (e.g., age, interests, currently used communication services, etc.) with the emotional state acquired in real time, and generates optimal suggestions using a generative AI model. The generated suggestions are then displayed on the display of the smart glasses via the display means.

[1145] The display is equipped with an emotion recognition engine that adjusts the suggestions based on the user's emotional state. For example, if the user shows interest, detailed information or special promotions will be displayed.

[1146] If the user agrees to the proposal, the application method is activated and an interface for entering the necessary application information is displayed on the smart glasses display. Once the user has entered the information and completed the application procedure, the application data is sent to the server, where a confirmation and approval process is carried out. As a result, the user is notified that the application has been completed.

[1147] Specific examples

[1148] When a user wears smart glasses and walks through a physical store, a message appears on the display asking, "Are you looking for a new mobile phone plan?" If the user's facial expression indicates interest, the system will suggest the most suitable mobile phone plan based on information about the user's existing provider and the device they are using. Detailed information such as "This plan is available at a limited-time discount" will be displayed.

[1149] Prompt Sentence Examples

[1150] A user wears smart glasses and walks through a brick-and-mortar store. The camera and microphone capture the user's facial expressions and voice to recognize the dominant emotion. Based on the recognized emotion and pre-collected user data, suggest the best product plan. If the user shows interest, show them more information or promotions.

[1151] This system allows users to receive emotionally appropriate product suggestions in real time in physical stores, improving the shopping experience.

[1152] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1153] Step 1:

[1154] A user wears smart glasses and inputs information while walking around a physical store. The smart glasses' camera and microphone capture the user's facial expressions and voice. This information is acquired in real time by the input device means. The input device means transmits this facial expression and voice data as input information to the information receiving means.

[1155] Step 2:

[1156] The information receiving means receives the facial expression data and voice data sent from the input device means and sends them to an emotion recognition engine. The emotion recognition engine (DeepFace, etc.) analyzes the facial expression data and voice data and recognizes the user's dominant emotional state (interest, satisfaction, dissatisfaction, etc.). The user's current emotional state is generated as a result of the analysis.

[1157] Step 3:

[1158] The server acquires the user's pre-entered basic information (age, interests, currently used communication services, etc.) via the information receiving means. This information is stored in a database. The server uses a generative AI model to generate the optimal proposed plan for the user based on the acquired basic information and the user's emotional state recognized in real time.

[1159] Step 4:

[1160] The proposed plan is generated as a result by the analysis means and sent to the display means. The display means has a built-in emotion recognition engine and continuously acquires emotional data such as the user's facial expressions and tone of voice in real time. The display means adjusts the proposed plan according to the user's emotional state based on this emotional data. For example, if the user shows interest, detailed information or special promotions are added.

[1161] Step 5:

[1162] The adjusted proposal plan is displayed on the display of the smart glasses. The user checks the proposal content through the smart glasses and, if interested, selects an option to proceed with the application procedure. The display means transmits the option information selected by the user to the server in real time.

[1163] Step 6:

[1164] If the user agrees to the proposal, the server displays an interface on the smart glasses display to start the application process. The user inputs the necessary information through the presented interface and proceeds with the application process. The input information is sent to the server via the information receiving means.

[1165] Step 7:

[1166] The server analyzes the entered application information and checks it against a database. Once all processes are confirmed, the server approves the application. Finally, a notification of the completion of the application process is displayed on the smart glasses display. The user can then receive information on how to proceed to the next step.

[1167] At each step, the process is streamlined and optimal suggestions based on user sentiment are made in real time, improving the shopping experience in physical stores and providing more personalized service.

[1168] 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.

[1169] 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.

[1170] 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.

[1171] [Fourth embodiment]

[1172] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1173] 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.

[1174] 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).

[1175] 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.

[1176] 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.

[1177] 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).

[1178] 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.

[1179] 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.

[1180] 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.

[1181] 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.

[1182] 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.

[1183] 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.

[1184] 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."

[1185] The present invention is a system including a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including an AI model for analyzing and proposing an optimal plan based on the information input by the user, a display means for displaying the results generated by the analysis means and presenting the proposal to the user, and an application means for supporting the user's application procedure based on the proposal. Specific embodiments for implementing this system are described below.

[1186] System Overview

[1187] This system begins when a user accesses a monitor terminal installed in a mass retailer. The terminal means receives input information from the user and transmits that information to the server means. Data analyzed by the server means is presented to the user via the display means to provide the user with the most suitable plan and its details. If the user agrees to the proposed plan, the terminal means supports the procedures required for application, and the information is again transmitted to the server means for final confirmation and approval.

[1188] Program processing

[1189] Receiving and sending input information

[1190] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits the necessary information, the terminal means transmits the information to the server means.

[1191] Analysis of information

[1192] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[1193] Presenting the plan

[1194] The terminal device displays the analysis results received from the server device and presents the user with the most suitable plan, with the display device providing details of the plan, its price, benefits, etc. in a visually easy-to-understand format.

[1195] Support for application procedures

[1196] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user completes the application by entering the necessary information in the form, the data is sent to the server means.

[1197] Review and approval of content

[1198] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[1199] Specific examples

[1200] For example, if a user wants to change their mobile carrier plan at a mass retailer, the user accesses a monitor terminal and enters the necessary information. The information entered by the user is sent to the server means, where it is analyzed by an AI model. The optimal plan is presented, and once the user selects a plan and completes the application procedure, the server means verifies the application details and finally sends a notification to the user that the application has been completed. This allows the user to quickly and efficiently select the service plan that is best suited to them and complete the application.

[1201] In this way, the system provides users with consistent, high-quality plan proposals and application procedures, making it possible to provide appropriate service to users even when the store's staff is absent or the staff is new.

[1202] The processing flow will be explained below.

[1203] Step 1:

[1204] The user accesses a monitor terminal in a mass retailer.

[1205] Specific action: The user touches the "Start" button on the monitor.

[1206] Step 2:

[1207] The device will display a screen for entering basic information.

[1208] Specific operation: The device displays a form on the screen that asks users to enter information such as family composition, the mobile carrier in use, the device in use, whether or not they have a fixed line, and the status of their electricity contract.

[1209] Step 3:

[1210] The user enters information into a form displayed on the screen.

[1211] Specific operation: The user enters the required information into each input field. For example, the user enters "4 people" for family size, "Carrier A" for the mobile carrier in use, and "3 smartphones, 1 tablet" for the devices used.

[1212] Step 4:

[1213] After completing the input, the user presses the "Send" button.

[1214] Specific operation: The user checks the input and presses the "Send" button on the device.

[1215] Step 5:

[1216] The terminal transmits the input information to the server.

[1217] Specific operation: The terminal converts the user's input information into packets and sends them to the server as an HTTP request.

[1218] Step 6:

[1219] The server receives the input information.

[1220] Specific operation: The server receives the HTTP request and performs preprocessing to save it in the database.

[1221] Step 7:

[1222] The server analyzes the information using a database and AI models.

[1223] How it works: The server queries the database for user information to retrieve the necessary data, then inputs that data into the AI ​​model for analysis. The analysis also uses past plan information and customer service conversation data from highly successful crew members.

[1224] Step 8:

[1225] The server generates the analysis results and sends them back to the terminal.

[1226] Specific operation: The server converts the analysis results of the AI ​​model into JSON format data and sends it to the device as a response.

[1227] Step 9:

[1228] The terminal receives the analysis results and displays them to the user.

[1229] What it does: The device parses the received JSON data and displays it on the screen in a human-friendly format, such as a list of the best plan types, prices, and benefits.

[1230] Step 10:

[1231] The user reviews the proposed plan and selects it.

[1232] Specific behavior: The user checks the displayed plan details and presses the "Subscribe to this plan" button.

[1233] Step 11:

[1234] The terminal displays the application form.

[1235] Specific operation: The terminal displays an application form on the screen and prompts the user to enter necessary information such as name, address, and payment method.

[1236] Step 12:

[1237] The user enters the necessary information into the application form and completes the application.

[1238] Specific operation: The user enters the required information into the application form and presses the "Complete application" button.

[1239] Step 13:

[1240] The terminal transmits the application data to the server.

[1241] Specific operation: The terminal converts the application details into packets and sends them to the server as an HTTP request.

[1242] Step 14:

[1243] The server receives and verifies the application.

[1244] Specific behavior: The server receives the application data and checks the validity of each item before saving it to the database.

[1245] Step 15:

[1246] The server performs the verification and approval process.

[1247] What happens: The server performs an internal authorization process to ensure the application is valid, for example by validating the credit card.

[1248] Step 16:

[1249] The server sends a notification to the user that the application has been completed.

[1250] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[1251] In this way, the system analyzes the information entered by the user, proposes the optimal plan, and provides consistent support right up to the application process.

[1252] Example 1

[1253] 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."

[1254] Current in-store service plan proposal and application systems have the problem that it is difficult for users to efficiently find the most suitable plan, and the application process is cumbersome. In particular, when store staff are absent or new staff are handling the application, it is difficult to provide users with consistent, high-quality service. This can result in a decrease in user satisfaction and a prolonged application process.

[1255] 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.

[1256] In this invention, the server includes a terminal means for users to input information, a server means for receiving the information input by the terminal means, an analysis means connected to the server means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and visually presenting the details, price, benefits, etc. of the optimal plan to the user, an application means for supporting the user's application procedure based on the proposal content and retransmitting the input application information to the server, and a means for confirming and approving the application information received by the server means and sending the user a notification of application completion. This allows users to efficiently select the service plan that is optimal for them and quickly complete the application procedure. Furthermore, consistent, high-quality service can be provided to users even when store staff are absent.

[1257] A "terminal means" is a device for a user to input information.

[1258] The "server means" is a system having a function of receiving information input by the terminal means.

[1259] The "analysis means" is a system that is connected to the server means and includes a generative AI model that analyzes and proposes an optimal plan based on information input by the user.

[1260] The "display means" is a system that has the function of displaying the results generated by the analysis means and visually presenting details, prices, advantages, etc. of the most suitable plan to the user.

[1261] The "application means" is a system that supports the user's application procedure based on the proposed content and includes a process for retransmitting the input application information to the server.

[1262] A "generative AI model" is an artificial intelligence algorithm that uses a database to analyze user input information and propose the optimal plan.

[1263] The "database" is an information management system that stores past user data, information on optimal plans, customer service talk by highly successful crew members, and information on plans from other companies.

[1264] This invention is a system including terminal means for users to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including a generative AI model that analyzes and proposes the optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and visually presenting the details, price, advantages, etc. of the optimal plan to the user, application means for supporting the user's application procedure based on the proposed content and resending the input application information to the server, and means for confirming and approving the application information received by the server means and sending the user a notification of application completion.

[1265] First, the user accesses a monitor terminal installed inside the mass retailer. The terminal means provides an intuitive UI to prompt the user to input information. Specifically, a form is displayed for inputting information such as family composition, the mobile communication service provider currently under contract, the device used, whether or not a fixed communication line is used, and the status of the electricity service contract. When the user inputs the necessary information and presses the send button, the terminal means temporarily stores the input information and immediately sends it to the server means.

[1266] The server means analyzes the information received from the terminal means using a database and a generative AI model. The database stores past user data, information on optimal plans, customer service talk of highly successful crew members, and information on plans from other companies. The generative AI model analyzes this data and identifies the plan that best suits the user's needs.

[1267] Next, the server means transmits the analysis results to the terminal means. The terminal means displays the received results to the user. The display means presents the user with information such as plan details, prices, and benefits using visually easy-to-understand graphs and charts. This allows the user to compare multiple plans and make the best selection.

[1268] If the user agrees to the proposed plan, the terminal means displays a form for application procedures. When the user enters the necessary information such as name, address, and contact details and presses the application button, the information is again sent to the server means. The server means again checks the received application information in the database to ensure that all conditions are met.

[1269] Finally, the server approves the application and sends the user a notification of application completion. The notification includes a link explaining the next steps and a link to download the necessary documents. This allows the user to efficiently complete the application process.

[1270] Below are some example prompts to input to the generative AI model:

[1271] Please describe the steps a user takes to complete the application process by entering information such as family composition, current mobile phone service provider, devices used, whether or not they have a fixed line, and their electricity service contract status on a monitor terminal installed at a mass retailer. Also, please include specific operations and actions of the user, device, and server for each step.

[1272] As described above, this system allows users to enter the necessary information, select the optimal plan based on the analysis results, and quickly complete the application process, thereby providing consistent, high-quality service and improving user satisfaction.

[1273] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1274] Step 1: Enter your information

[1275] User: The user accesses a monitor terminal in a mass retailer. The terminal displays an intuitive UI to prompt the user for input, and displays a form for entering information such as family composition, the mobile communication service provider in use, the device being used, whether or not there is a fixed line, and the status of the electricity service contract.

[1276] Input: Family composition, mobile communication service in use, devices used, presence of fixed line, electricity contract status

[1277] Output: Input information is temporarily saved on the device.

[1278] Step 2: Send information

[1279] Terminal: Receives the information entered by the user and temporarily stores it. The terminal then sends the stored information to the server.

[1280] Input: Various information entered by the user

[1281] Output: The input information is sent to the server.

[1282] Step 3: Receiving information

[1283] Server: The server receives the user information sent from the device and prepares for data analysis based on the received information.

[1284] Input: User information sent from the device

[1285] Output: User information is saved on the server.

[1286] Step 4: Information analysis

[1287] Server: The server analyzes the received information using a database and a generative AI model. The database contains past user data and information on optimal plans, and the AI ​​model uses this data to propose the optimal plan for the user.

[1288] Input: User information, past user data, optimal plan information, customer service talk of highly successful crew members, plan information of other companies

[1289] Output: The best plan is analyzed for the user.

[1290] Step 5: Send results

[1291] Server: The server sends the generated analysis results to the device.

[1292] Input: Analysis results

[1293] Output: The analysis results are sent to the terminal.

[1294] Step 6: View the results

[1295] Terminal: The terminal receives the analysis results from the server and presents them to the user in a visually understandable format, showing plan details, prices, benefits, etc. in graphs and charts.

[1296] Input: Analysis results sent from the server

[1297] Output: Plan details, pricing, benefits, etc. are displayed to the user.

[1298] Step 7: Application process

[1299] User: The user agrees to the proposed plan.

[1300] Terminal: Displays the application form and the user enters the required information (name, address, contact details, etc.).

[1301] Input: User application information

[1302] Output: The application information is saved on the device.

[1303] Step 8: Submit your application

[1304] Terminal: Sends the entered application information to the server.

[1305] Input: Application information

[1306] Output: The application information is sent to the server.

[1307] Step 9: Application information received and confirmed

[1308] Server: The server receives the application information sent from the terminal and checks it against the database again to make sure the application information is accurate and meets all requirements.

[1309] Input: Application information sent from the terminal

[1310] Output: The application information is verified.

[1311] Step 10: Application completion notification

[1312] Server: The server will confirm and approve the application information and send a notification to the user that the application has been completed. The notification will also include information on next steps.

[1313] Input: Confirmed application information

[1314] Output: A notification of application completion is sent to the user.

[1315] (Application example 1)

[1316] 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."

[1317] In conventional food delivery systems, it takes a lot of time and effort for users to select a meal plan that suits them. It is also difficult to determine the best plan based on the user's preferences, allergies, budget, etc., which can result in an unsatisfactory service experience. Therefore, there is a need for a system that can quickly and accurately propose the optimal food delivery plan based on the user's input information and support the application process.

[1318] 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.

[1319] In this invention, the server includes terminal means for a user to provide input information, means for receiving information input by the terminal means, analysis means including a generative AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and means for proposing an optimal food delivery plan based on information such as the user's dietary preferences, allergy information, budget, meal timing, etc. This enables users to quickly and efficiently find a food delivery plan that best suits their preferences and requirements, and to smoothly complete the application procedure.

[1320] "Terminal means" refers to a device through which a user inputs information, such as a smartphone, PC, or tablet.

[1321] The "server means" is a computer system that receives information sent from users and performs analysis and data management.

[1322] The "analysis means" is a function that is connected to the server means and includes a generative AI model that analyzes and proposes the optimal plan based on the information input by the user.

[1323] The "display means" is a mechanism including a display or monitor for visually presenting the results generated by the analysis means to the user.

[1324] The "application means" is a mechanism for providing the interface and support functions necessary when a user carries out application procedures based on the proposal contents.

[1325] A "generative AI model" is a program that includes an artificial intelligence algorithm for analyzing and proposing optimal plans based on user input information.

[1326] "Food preferences" is information about a user's tendency to like specific types of food or cuisine.

[1327] "Allergy information" is information about a user's allergic reaction to a particular food ingredient or component.

[1328] "Budget" is information indicating the range of amounts that a user can spend on food delivery.

[1329] "Meal timing" is information about a specific time period for a user to eat meals.

[1330] "Food delivery plan" refers to a meal menu and delivery plan optimized to the user's preferences and conditions.

[1331] The following describes in detail the mode for carrying out this invention. The present invention comprises a system that allows a user to input information, proposes the optimal food delivery plan, and supports the application process. Here, we will introduce an example in which a user uses the system using a smartphone.

[1332] First, the user starts the smartphone application and inputs information such as dietary preferences, allergy information, budget, meal timings, etc. This information is received by the server means and stored in a database.

[1333] The server then uses the generative AI model to analyze and propose an optimal food delivery plan based on the received user information. The analysis means considers the user's past order history and current store information to derive the optimal plan.

[1334] The server displays the generated results on the user's smartphone. The display provides plan details, prices, benefits, etc. in a visually easy-to-understand manner. The user can view the proposed plans and select the one they like best.

[1335] If the user agrees to the plan, the application process will begin. The terminal device will display an application form, and the user will enter and confirm the necessary information. This completes the application process, and the data will be sent back to the server device.

[1336] The server means checks the received application information in a database, and after going through the most appropriate approval process, finally sends a completion notice to the user.

[1337] As an example of the system, suppose a user has an allergy to a specific ingredient, prefers Japanese food, and wants to use food delivery for lunch within a budget of 1,000 to 1,500 yen. The user launches the smartphone app and enters this information. Based on the entered information, the generative AI model proposes the optimal Japanese food delivery plan. The user reviews the proposal, agrees, and then completes the application process. Through this process, a delivery plan tailored to the user's specific requirements is provided.

[1338] Example prompt sentence:

[1339] "I like Japanese food, I'm allergic to peanuts, my budget is 1,000 to 1,500 yen, and I eat at lunchtime."

[1340] In this way, the present invention provides a system that quickly provides the optimal food delivery plan tailored to the user's needs and supports efficient application procedures.

[1341] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1342] Step 1:

[1343] The user launches the smartphone application and enters information such as dietary preferences, allergy information, budget, and meal timings.

[1344] Input: User's dietary information (e.g., preference for Japanese food, peanut allergy, budget 1,000-1,500 yen, lunch)

[1345] Output: The input information is sent by the terminal means to the server means.

[1346] Specific operation: When a user enters various information into the input form and presses the "Submit" button, the information is sent to the server as an HTTP request.

[1347] Step 2:

[1348] The server means receives the input information sent by the user and stores it in a database.

[1349] Input: The input information submitted by the user.

[1350] Output: The input information is saved in a database.

[1351] Specific operation: The server analyzes the received HTTP request and stores the information in the database using an INSERT query.

[1352] Step 3:

[1353] The server means uses the generated AI model to analyze the user's input information and propose the optimal food delivery plan.

[1354] Input: User input information stored in the database.

[1355] Output: Optimal food delivery plan suggestions.

[1356] Specific operation: The server retrieves user information from the database and inputs it into the generative AI model, which then uses past data and algorithms to generate the optimal plan.

[1357] Step 4:

[1358] The server means transmits the analysis results to the user's smartphone, and the display means displays the proposal content.

[1359] Input: Optimal food delivery plan proposed by a generative AI model.

[1360] Output: The suggestions displayed in the user's smartphone app.

[1361] Specific operation: The server sends the proposal to the user's device as an HTTP response, and the application receives the response and displays it on the screen.

[1362] Step 5:

[1363] The user confirms the proposed food delivery plan and, if they agree, proceeds to the application procedure. The terminal means displays the application form, and the user enters and confirms the necessary information.

[1364] Input: User consent and any additional information required for registration.

[1365] Output: The application information is sent from the terminal means to the server means.

[1366] Specific operation: When the user presses the "Agree" button on the confirmation screen, enters the required information in the application form, and presses the "Submit" button, the information is sent again to the server as an HTTP request.

[1367] Step 6:

[1368] The server means checks the received application information in a database, and after an approval process, finally sends a notification of application completion to the user.

[1369] Input: Application information sent from the terminal means.

[1370] Output: Notification to the user that the application has been completed.

[1371] Specific operation: The server stores the application information in a database and performs the necessary confirmation and approval processes. Once approval is complete, a completion notification is sent to the user's smartphone via an HTTP response.

[1372] In this way, a system can be realized that utilizes a generative AI model based on user input information to propose the optimal food delivery plan and complete the application process quickly and efficiently.

[1373] 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.

[1374] The present invention is a system that includes a terminal means for a user to input information, a server means for receiving the information input by the terminal means, an analysis means including an AI model that analyzes and proposes an optimal plan based on the information input by the user, a display means that presents the proposed results to the user, and an application means that supports the user's application procedure, and further combines this with an emotion engine that recognizes the user's emotions. Specific embodiments for implementing this system are described below.

[1375] System Overview

[1376] This system begins when a user stands in front of a monitor terminal installed inside a mass retailer and operates the terminal means to input their own information. The input information is sent from the terminal means to the server means, which then analyzes the information using a database and AI model. Furthermore, the display means has a built-in emotion engine that can recognize the user's emotions and adjust the content of the proposal accordingly. This makes it possible to propose the optimal plan based on the user's emotions.

[1377] Program processing

[1378] Receiving and sending input information

[1379] When a user accesses the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, the status of an electricity contract, etc. When the user enters and submits this information, the terminal means transmits the information to the server means.

[1380] Analysis of information

[1381] The server analyzes the received information using a database and AI model. The database stores past user data, information on optimal plans, customer service talks by highly successful crew members, and information on plans from other companies. The AI ​​model uses this data to propose the optimal plan to the user.

[1382] Emotion recognition

[1383] The emotion engine built into the display means recognizes the user's emotional state by analyzing the user's facial expressions, tone of voice, and body movements. The emotion engine collects user's emotional data using multiple sensors (camera, microphone, etc.).

[1384] Coordinating and presenting plans

[1385] After the emotion engine recognizes the user's emotional state, the server means adjusts the analysis results based on that information. For example, if the user appears interested, the server means refines the proposal and presents additional information or discount options. On the other hand, if the user appears dissatisfied, the server means presents alternative plan options. The adjusted proposals are presented to the user via the terminal means.

[1386] Support for application procedures

[1387] If the user agrees to the proposed plan, an application form is displayed. When the user enters the necessary information into the form and completes the application, the data is sent to the server means.

[1388] Review and approval of content

[1389] The server means reconfirms the received application details, checks the database, and then implements the appropriate approval process. Once all processes are completed, the server means sends the user a notification that the application has been completed and provides the user with information to proceed to the next step.

[1390] Specific examples

[1391] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and input the necessary information. The user's facial expressions are captured by a camera, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server device verifies the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[1392] In this way, the system can provide more personalized services by recognizing the user's emotions and making suggestions based on their emotional state, thereby improving user satisfaction and increasing the success rate of plan proposals.

[1393] The processing flow will be explained below.

[1394] Step 1:

[1395] A user accesses a monitor terminal installed inside a mass retailer.

[1396] Specific operation: The user starts operating the system by touching the "Start" button on the monitor.

[1397] Step 2:

[1398] The device will display a screen for entering basic information.

[1399] Specific operation: The device displays a form on the screen containing input fields such as family composition, mobile carrier in use, device in use, whether or not a fixed line is in use, and electricity contract status.

[1400] Step 3:

[1401] The user enters information into a form displayed on the screen.

[1402] Specific Behavior: The user enters the required information into each input field and verifies that all required fields are completed.

[1403] Step 4:

[1404] After completing the input, the user presses the "Send" button.

[1405] Specific operation: The user confirms the input and presses the "Send" button on the device to send the data.

[1406] Step 5:

[1407] The terminal transmits the input information to the server.

[1408] Specific operation: The device converts input information into packets and sends them as HTTP requests to the server via the Internet.

[1409] Step 6:

[1410] The server receives the input information.

[1411] What happens: The server receives an HTTP request, extracts the contents of the packet, and prepares to store them in a database.

[1412] Step 7:

[1413] The server analyzes the information using a database and AI models.

[1414] What it does: The server queries the database to retrieve data that matches the user's information, then inputs that data into the AI ​​model for analysis.

[1415] Step 8:

[1416] The analysis results are generated and the emotion engine recognizes the user's emotions.

[1417] Specific operation: The server generates the analysis results, and in parallel, the emotion engine analyzes the user's facial expressions, tone of voice, and body movements through the camera and microphone.

[1418] Step 9:

[1419] Adjust the analysis results based on the output of the emotion engine.

[1420] Specific operation: The server reevaluates the analysis results based on the output of the emotion engine (e.g., whether the user is interested or dissatisfied) and selects the optimal plan.

[1421] Step 10:

[1422] The server returns the adjusted analysis results to the terminal.

[1423] Specific operation: The server converts the final analysis result into JSON format data and sends it to the terminal as an HTTP response.

[1424] Step 11:

[1425] The terminal receives the analysis results and displays them to the user.

[1426] Specific operation: The device parses the JSON data of the analysis results and displays it visually to the user (e.g., plan name, price, benefits, etc.).

[1427] Step 12:

[1428] The user reviews the proposed plan and selects it.

[1429] Specific actions: The user views the proposed plan displayed on the screen, checks the details and benefits of the plan, and presses the "Subscribe to this plan" button.

[1430] Step 13:

[1431] The terminal displays the application form.

[1432] What it does: The device displays a form for completing an application, providing fields for input such as name, address, and payment method.

[1433] Step 14:

[1434] The user enters the necessary information into the application form and completes the application.

[1435] Specific operation: The user enters the required information into the application form and presses the "Complete application" button to complete the application process.

[1436] Step 15:

[1437] The terminal transmits the application data to the server.

[1438] Specific operation: The terminal converts the application data into packets and sends them to the server as an HTTP request.

[1439] Step 16:

[1440] The server receives and verifies the application.

[1441] Specific operation: The server checks the application details received and checks the validity of each item before saving it to the database.

[1442] Step 17:

[1443] The server performs the verification and approval process.

[1444] What happens: The server runs an internal authorization process to ensure the application is valid (e.g., validating a credit card).

[1445] Step 18:

[1446] The server sends a notification to the user that the application has been completed.

[1447] Specific operation: The server sends an email or SMS to the user indicating that the application confirmation has been completed, and notifies the user of the completion of the application.

[1448] This system allows users to input the necessary information and receive the best plan based on their emotional state, while also allowing for a smooth application process.

[1449] Example 2

[1450] 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."

[1451] Conventional plan proposal systems were able to make proposals based on user input information, but they were unable to propose personalized plans that took the user's emotional state into account, making it difficult to improve user satisfaction. Furthermore, because plans could not be adjusted to reflect the user's emotional state, users often lacked sufficient interest in the proposed plans. Therefore, improving the success rate of proposals was a challenge.

[1452] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1453] In this invention, the server includes terminal means for a user to input information, server means for receiving the information input by the terminal means, analysis means connected to the server means and including an AI model that analyzes and proposes an optimal plan based on the information input by the user, display means for displaying the results generated by the analysis means and presenting the proposal to the user, application means for supporting the user's application procedure based on the proposal, and emotion recognition means having an emotion engine for recognizing the user's emotions, collecting user emotion data using sensor means built into the display means, analyzing the user's emotional state, and reflecting the analyzed emotional state in the plan proposal. This enables personalized plan proposals that take the user's emotions into consideration, thereby improving user satisfaction and the success rate of proposals.

[1454] "Terminal means" refers to a device or equipment through which a user inputs information.

[1455] The "server means" is a computer system or server that receives information input by the terminal means.

[1456] "Analysis means" means a device or function that uses an AI model to analyze and propose an optimal plan based on user input information.

[1457] The "display means" is a device or function that displays the results generated by the analysis means and presents the proposed content to the user.

[1458] The "application means" is a function or device that supports the application procedure of the user based on the proposal contents.

[1459] An "emotion engine" is software or hardware for recognizing a user's emotions.

[1460] The "sensor means" is a device or sensor that is incorporated into the display means and that collects emotion data of the user.

[1461] "Emotion recognition means" is a function or device for analyzing collected emotion data and determining an emotional state.

[1462] The present invention is a system that combines terminal means for users to input information, server means for receiving information input by the terminal means, analysis means including an AI model that analyzes and proposes the optimal plan based on the information input by the user, display means that presents the proposed results to the user, application means that supports the user's application procedure, and an emotion engine that recognizes the user's emotions.

[1463] A specific embodiment of this system will now be described.

[1464] First, the user accesses a monitor terminal installed inside the mass retailer. When the user operates the terminal means, a form is displayed for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not a fixed line is used, and the status of the electricity contract. When the user enters this information and clicks the send button, the terminal means sends the information to the server means. When sending, the data is converted to JSON format and communicated securely via HTTPS.

[1465] The server stores the received information in a database and begins analysis using an AI model implemented in Python. This AI model uses Scikit-learn and analyzes and proposes the optimal plan for the user based on a database containing past user data, information on plans from other companies, and customer service conversations.

[1466] The emotion engine built into the display means then comes into play. The emotion engine uses TensorFlow and analyzes the user's facial expressions, tone of voice, and body movements using a camera and microphone. This allows the user's current emotional state to be recognized, and this information is sent to the server means.

[1467] The server means reflects the emotion information sent from the emotion engine in the analysis results and adjusts the plan proposal content. For example, if the user shows interest, the server means will refine the proposal content and present additional information and discount options. On the other hand, if the user seems dissatisfied, the server means will present other plan options. The adjusted proposal content is displayed to the user via the terminal means.

[1468] If the user agrees to the proposed plan, an application form will be displayed on the terminal. After the user enters the required information and completes the application, the data is sent back to the server means. The server means checks the application details against a database, checking for inconsistencies and errors, and then carries out the appropriate approval process. Once all processes are complete, the server means sends the user a notification of application completion and provides information for proceeding to the next step.

[1469] Specific examples

[1470] When a user wants to change their mobile carrier plan at a mass retailer, they access a monitor terminal and enter the necessary information. The camera captures the user's facial expression, and if the emotion engine evaluates the user's interest highly, the AI ​​model takes that emotional state into account and presents detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server confirms the application details and finally sends the user a notification that the application has been completed. This allows the user to quickly and efficiently select the optimal service plan that best suits their emotions and complete the application.

[1471] Prompt Sentence Examples

[1472] A user wants to change their mobile carrier plan. They use a device provided by a mass retailer to enter information such as their family composition and current mobile carrier. An on-screen camera captures their facial expressions, and an emotion engine determines their interest. Based on this, an AI model suggests the most suitable plan, providing detailed plan information and discount options. Once the user agrees to the proposal and completes the application process, the server verifies the application and sends the user a notification that the application is complete. How does this process work?

[1473] As described above, the system of the present invention is capable of recognizing the user's emotions and proposing plans based on the user's emotional state, thereby increasing user satisfaction and the success rate of proposals.

[1474] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1475] Step 1: Collecting User Input

[1476] When a user accesses a monitor terminal installed in a mass retailer, a form appears on the screen for entering basic information such as family composition, the mobile carrier in use, the device being used, whether or not they have a fixed line, the status of their electricity contract, etc. The user enters this information and clicks the submit button.

[1477] Input: The user enters information such as family composition and the mobile carrier they are using into an input form.

[1478] Output: The input information is prepared for use in the next step, specifically as output data converted to JSON format.

[1479] Step 2: Send the input information to the server

[1480] When the user clicks the submit button, the device sends the information to the server, securely using HTTPS.

[1481] Input: The terminal converts the information entered by the user into JSON format.

[1482] Output: The data is converted to JSON format and sent to the server using HTTPS.

[1483] Step 3: Analyze the information

[1484] The server stores the received information in a database and begins analysis using an AI model implemented in Python, which uses Scikit-learn to generate the optimal plan using past data from the database and information on plans from other companies.

[1485] Input: The server receives user information in JSON format and stores it in the database.

[1486] Output: The server generates data to propose the optimal plan and prepares it to be sent to the emotion engine.

[1487] Step 4: Recognize emotions

[1488] The emotion engine built into the display uses a camera and microphone to analyze the user's facial expressions, tone of voice, and body movements, and uses TensorFlow to recognize the user's emotional state in real time.

[1489] Input: User facial expressions, tone of voice, and body movements captured via camera and microphone.

[1490] Output: The emotion engine analyzes and generates the recognized emotional state data.

[1491] Step 5: Adjust and present the plan

[1492] The server adjusts the content of the plan proposal based on the emotional state data sent from the emotion engine. For example, if the user shows interest, the server adds detailed plan information and discount options. On the other hand, if the user seems dissatisfied, the server presents a different plan. The adjusted proposal is returned to the device in JSON format and displayed on the screen.

[1493] Input: Emotional state data and parsed plan information.

[1494] Output: The adjusted plan proposal is generated in JSON format and sent to the device.

[1495] Step 6: Application support

[1496] If the user agrees to the proposed plan, an application form will be displayed on the terminal. The user enters the required information such as name, address, and contact details and clicks the application button. This information is then sent back to the server.

[1497] Input: Information entered by the user into the application form.

[1498] Output: The application information is converted to JSON format and sent to the server.

[1499] Step 7: Application review and approval

[1500] The server stores the received application information in a database and cross-checks it. After checking for inconsistencies and errors, it implements the appropriate approval process. Once all processes are complete, the server sends the user a notification that the application has been completed and provides information on how to proceed to the next step.

[1501] Input: The server receives the application information and stores it in a database.

[1502] Output: The application details are reviewed and approved, and a notification of application completion is sent to the user.

[1503] (Application example 2)

[1504] 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 robot 414 will be referred to as a "terminal."

[1505] Current product and service suggestion systems in brick-and-mortar stores generally make uniform suggestions without considering the user's emotional state. This can result in a lack of optimal suggestions for the user, which can reduce user satisfaction and purchasing motivation. Furthermore, in-store guidance and suggestions are inefficient, making it difficult to instantly provide optimal information to specific users.

[1506] The identification process by the identification 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 an input device means for a user to input information, an information receiving means for receiving the information input by the input device means, an analysis means connected to the information receiving means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information, a display means for displaying the results generated by the analysis means and presenting the proposal content to the user, the display means including an emotion recognition engine that recognizes the user's emotions, a means for adjusting the proposal content based on the user's emotional state, an application means for supporting the user's application procedure based on the adjusted proposal content, a means for the user to use smart glasses to input information, and a means for analyzing the user's emotions in real time using the smart glasses. This enables optimal proposals to be made in real time based on the user's emotional state. Furthermore, by using the smart glasses, users can obtain necessary information at any time while freely walking around the store, allowing them to receive optimal proposals in real time.

[1507] "Input device means" refers to a device for a user to input information.

[1508] The term "information receiving means" refers to a device having a function of receiving information input by an input device means.

[1509] A "generative AI model" refers to an artificial intelligence model that analyzes and proposes the optimal plan based on user input information.

[1510] "Analysis means" refers to a device or system that includes a generative AI model and generates an optimal plan based on user input information.

[1511] The "display means" refers to a device or system that displays the results generated by the analysis means and presents the proposed content to the user.

[1512] An "emotion recognition engine" refers to software or hardware for recognizing a user's emotions.

[1513] "Adjusting means" refers to a device or system that has the functionality to appropriately change the displayed suggestions based on the user's emotional state.

[1514] The "application means" refers to a device or system that supports the user when applying for a plan based on the proposed plan.

[1515] "Smart glasses" refers to a wearable device in the form of glasses that has a built-in display, camera, and microphone.

[1516] "Means for analyzing in real time" refers to a device or system for analyzing a user's emotions in real time.

[1517] A system embodying the present invention includes an input device means for a user to input information, an information receiving means, an analysis means including a generative AI model, a display means including an emotion recognition engine, an adjustment means, an application means, and smart glasses for analyzing a user's emotions in real time.

[1518] As a specific example, consider a case where a user wears smart glasses and walks around a physical store looking for a product or service plan. This system uses the following hardware and software:

[1519] Hardware

[1520] Smart glasses: These glasses have a built-in display, camera, and microphone, and are capable of collecting and displaying user input.

[1521] Server: Receives and analyzes the information sent from the input device means.

[1522] software

[1523] Generative AI model: Analyzes and proposes optimal plans based on user input.

[1524] Emotion recognition engine (such as DeepFace): An engine that recognizes emotions by analyzing the user's facial expressions and tone of voice.

[1525] Operation explanation

[1526] While a user wears the smart glasses and walks around a physical store, the smart glasses' camera and microphone capture the user's facial expressions and voice, which are then sent in real time to an emotion recognition engine to analyze the user's current emotional state.

[1527] In the analysis means, the server combines information previously input by the user via the information receiving means (e.g., age, interests, currently used communication services, etc.) with the emotional state acquired in real time, and generates optimal suggestions using a generative AI model. The generated suggestions are then displayed on the display of the smart glasses via the display means.

[1528] The display is equipped with an emotion recognition engine that adjusts the suggestions based on the user's emotional state. For example, if the user shows interest, detailed information or special promotions will be displayed.

[1529] If the user agrees to the proposal, the application method is activated and an interface for entering the necessary application information is displayed on the smart glasses display. Once the user has entered the information and completed the application procedure, the application data is sent to the server, where a confirmation and approval process is carried out. As a result, the user is notified that the application has been completed.

[1530] Specific examples

[1531] When a user wears smart glasses and walks through a physical store, a message appears on the display asking, "Are you looking for a new mobile phone plan?" If the user's facial expression indicates interest, the system will suggest the most suitable mobile phone plan based on information about the user's existing provider and the device they are using. Detailed information such as "This plan is available at a limited-time discount" will be displayed.

[1532] Prompt Sentence Examples

[1533] A user wears smart glasses and walks through a brick-and-mortar store. The camera and microphone capture the user's facial expressions and voice to recognize the dominant emotion. Based on the recognized emotion and pre-collected user data, suggest the best product plan. If the user shows interest, show them more information or promotions.

[1534] This system allows users to receive emotionally appropriate product suggestions in real time in physical stores, improving the shopping experience.

[1535] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1536] Step 1:

[1537] A user wears smart glasses and inputs information while walking around a physical store. The smart glasses' camera and microphone capture the user's facial expressions and voice. This information is acquired in real time by the input device means. The input device means transmits this facial expression and voice data as input information to the information receiving means.

[1538] Step 2:

[1539] The information receiving means receives the facial expression data and voice data sent from the input device means and sends them to an emotion recognition engine. The emotion recognition engine (DeepFace, etc.) analyzes the facial expression data and voice data and recognizes the user's dominant emotional state (interest, satisfaction, dissatisfaction, etc.). The user's current emotional state is generated as a result of the analysis.

[1540] Step 3:

[1541] The server acquires the user's pre-entered basic information (age, interests, currently used communication services, etc.) via the information receiving means. This information is stored in a database. The server uses a generative AI model to generate the optimal proposed plan for the user based on the acquired basic information and the user's emotional state recognized in real time.

[1542] Step 4:

[1543] The proposed plan is generated as a result by the analysis means and sent to the display means. The display means has a built-in emotion recognition engine and continuously acquires emotional data such as the user's facial expressions and tone of voice in real time. The display means adjusts the proposed plan according to the user's emotional state based on this emotional data. For example, if the user shows interest, detailed information or special promotions are added.

[1544] Step 5:

[1545] The adjusted proposal plan is displayed on the display of the smart glasses. The user checks the proposal content through the smart glasses and, if interested, selects an option to proceed with the application procedure. The display means transmits the option information selected by the user to the server in real time.

[1546] Step 6:

[1547] If the user agrees to the proposal, the server displays an interface on the smart glasses display to start the application process. The user inputs the necessary information through the presented interface and proceeds with the application process. The input information is sent to the server via the information receiving means.

[1548] Step 7:

[1549] The server analyzes the entered application information and checks it against a database. Once all processes are confirmed, the server approves the application. Finally, a notification of the completion of the application process is displayed on the smart glasses display. The user can then receive information on how to proceed to the next step.

[1550] At each step, the process is streamlined and optimal suggestions based on user sentiment are made in real time, improving the shopping experience in physical stores and providing more personalized service.

[1551] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice 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 voice data.

[1552] 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.

[1553] 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 robot 414.

[1554] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1555] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1556] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1557] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1558] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, motorcycles, and other devices, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1559] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1560] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1561] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1562] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1563] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1564] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1565] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1566] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1567] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1568] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1569] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1570] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1571] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1572] The following is further disclosed regarding the above embodiment.

[1573] (Claim 1)

[1574] terminal means for a user to input information;

[1575] a server means for receiving information input by the terminal means;

[1576] an analysis means connected to the server means and including an AI model that analyzes and proposes an optimal plan based on information input by a user;

[1577] a display means for displaying the results generated by the analysis means and presenting the content of the proposal to the user;

[1578] application means for supporting the user's application procedure based on the content of the proposal;

[1579] A system including:

[1580] (Claim 2)

[1581] 2. The system according to claim 1, wherein the terminal means includes means for providing an interface for inputting information including family composition, the mobile carrier in use, the terminal in use, the presence or absence of a fixed line, and the status of an electricity contract.

[1582] (Claim 3)

[1583] 10. The system of claim 1, wherein the server means includes means for analyzing user input information and using a database and an AI model to generate results including data regarding an optimal plan.

[1584] "Example 1"

[1585] (Claim 1)

[1586] terminal means for a user to input information;

[1587] a server means for receiving information input by the terminal means;

[1588] an analysis means connected to the server means and including a generative AI model that analyzes and proposes an optimal plan based on information input by a user;

[1589] a display means for displaying the results generated by the analysis means and visually presenting details, prices, advantages, etc. of the most suitable plan to the user;

[1590] application means for supporting the user's application procedure based on the content of the proposal and retransmitting the input application information to the server;

[1591] means for confirming and approving the application information received by the server means and sending an application completion notice to the user;

[1592] A system including:

[1593] (Claim 2)

[1594] The system of claim 1, wherein the terminal means includes means for providing an interface for inputting information including family composition, mobile communication service provider in use, equipment used, presence or absence of a fixed communication line, and status of electricity service contract.

[1595] (Claim 3)

[1596] 10. The system of claim 1, wherein the server means includes means for using a database and a generative AI model to analyze user input information and generate results including data regarding an optimal plan.

[1597] "Application Example 1"

[1598] (Claim 1)

[1599] terminal means for a user to provide input information;

[1600] a server means for receiving information input by the terminal means;

[1601] an analysis means connected to the server means and including a generative AI model that analyzes and proposes an optimal plan based on information input by a user;

[1602] a display means for displaying the results generated by the analysis means and presenting the content of the proposal to the user;

[1603] application means for supporting the user's application procedure based on the content of the proposal;

[1604] A means for proposing an optimal food delivery plan based on information such as the user's food preferences, allergy information, budget, and meal timing;

[1605] A system including:

[1606] (Claim 2)

[1607] 2. The system according to claim 1, wherein the terminal means includes means for providing an interface for inputting information including the user's dietary preferences, allergy information, budget, and meal timings.

[1608] (Claim 3)

[1609] 10. The system of claim 1, wherein the server means includes means for analyzing user input information and using a database and a generative AI model to generate results including data regarding optimal food delivery plans.

[1610] "Example 2: Combining Emotion Engines"

[1611] (Claim 1)

[1612] terminal means for a user to input information;

[1613] a server means for receiving information input by the terminal means;

[1614] an analysis means connected to the server means and including an AI model that analyzes and proposes an optimal plan based on information input by a user;

[1615] a display means for displaying the results generated by the analysis means and presenting the content of the proposal to the user;

[1616] application means for supporting the user's application procedure based on the content of the proposal;

[1617] an emotion recognition means that includes an emotion engine for recognizing the emotion of the user, collects emotion data of the user using a sensor means incorporated in the display means, analyzes the emotion state, and reflects the analysis results in the plan proposal;

[1618] A system including:

[1619] (Claim 2)

[1620] 2. The system according to claim 1, wherein the terminal means includes means for providing an interface for inputting information including family composition, the mobile carrier in use, the terminal in use, the presence or absence of a fixed line, and the status of an electricity contract.

[1621] (Claim 3)

[1622] 10. The system of claim 1, wherein the server means includes means for analyzing user input information and using a database and an AI model to generate results including data regarding an optimal plan.

[1623] "Application example 2 when combining emotion engines"

[1624] (Claim 1)

[1625] an input device means for a user to input information;

[1626] an information receiving means for receiving information input by the input device means;

[1627] an analysis means connected to the information receiving means and including a generative AI model that analyzes and proposes an optimal plan based on the user's input information;

[1628] a display means for displaying the results generated by the analysis means and presenting the content of the proposal to the user;

[1629] The display means includes an emotion recognition engine that recognizes the emotion of the user, and the display means adjusts the content of the suggestion based on the emotional state of the user;

[1630] an application means for supporting a user's application procedure based on the adjusted proposal content;

[1631] a means for a user to use the smart glasses to input information;

[1632] means for analyzing user emotions in real time by the smart glasses;

[1633] A system including:

[1634] (Claim 2)

[1635] 2. The system according to claim 1, wherein the input device means includes means for providing a user interface for inputting information including family composition, currently used communication service provider, used terminal, presence or absence of fixed communication line, and electricity contract status.

[1636] (Claim 3)

[1637] 10. The system of claim 1, wherein the information receiving means includes means for analyzing the user's input information and using a database and a generative AI model to generate a result including data regarding an optimal plan. [Explanation of symbols]

[1638] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. terminal means for a user to input information; a server means for receiving information input by the terminal means; an analysis means connected to the server means and including an AI model that analyzes and proposes an optimal plan based on information input by a user; a display means for displaying the results generated by the analysis means and presenting the content of the proposal to the user; application means for supporting the user's application procedure based on the content of the proposal; A system including:

2. 2. The system according to claim 1, wherein the terminal means includes means for providing an interface for inputting information including family composition, the mobile carrier in use, the terminal in use, the presence or absence of a fixed line, and the status of an electricity contract.

3. 10. The system of claim 1, wherein the server means includes means for analyzing user input information and using a database and an AI model to generate results including data regarding an optimal plan.

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