system

Abstract

We provide the system. [Solution] A means for storing coupon information acquired by a communication device in a storage unit, A means for detecting user transaction information, A means for selecting the most appropriate coupon information related to the transaction information from the coupon information stored in the memory unit, A means to automatically apply the selected coupon information to the relevant transaction, A system that includes this.

Description

Technical Field

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

Background Art

[0002] [[ID=十二]]A method disclosed in Patent Document 1 is a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Modern consumers are seeking means to make their daily lives economically richer due to rising prices and stagnant incomes. However, among various promotions and coupons, consumers themselves need to spend time collecting and applying appropriate discounts. Therefore, consumers cannot utilize coupons and discount information to the maximum extent and miss many opportunities for savings. Also, on the enterprise side, since there is no established method to ensure that customers use coupons and promotions, it is difficult to carry out effective marketing strategies. Solving such problems and contributing to the interests of both consumers and enterprises is required.

Means for Solving the Problems

[0005] To solve this problem, the present invention provides a system that automatically collects and stores coupon information using a communication device. This system includes means for acquiring user transaction information, selecting the most suitable coupon based on that information, and automatically applying it. Furthermore, it includes a function for registering users as members based on their personal information, enabling them to use coupons more effectively. In addition, it further enhances convenience by calculating points based on transactions and reflecting them in the point service of the user's choice. In this way, consumers can avoid the hassle of searching for coupons and enjoy the most effective way to save money, and companies can strengthen their marketing based on consumer purchase data.

[0006] A "communication device" is a technological device that has the function of sending and receiving data and is used to exchange information over a network.

[0007] "Coupon information" refers to digital or physical information that contains conditions and details for applying discounts or benefits when purchasing goods or services.

[0008] A "storage unit" is a computer component or device used to permanently or temporarily store data.

[0009] "User" refers to an individual or group that operates this system and enjoys its services.

[0010] "Transaction information" refers to data related to the purchase of goods or services, including the date and time of purchase, the amount, and product details.

[0011] "To apply" refers to performing a certain function or service according to specific conditions or methods.

[0012] "Membership registration" is the process of providing personal information to become an official user in order to obtain the right to use a specific service or platform.

[0013] "Point calculation" refers to an algorithm or process for assigning reward points to users based on their consumption and purchasing activities.

[0014] A "point service" is a service that allows users to exchange points they have earned for rewards or prizes. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0019] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] As shown in Figure 1, the 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.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0029] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] The present invention aims to automatically apply the most suitable coupons and discounts to consumers through carrier billing when they make everyday purchases or use services. This system integrates the user's transaction information with coupon information collected from various platforms and provides the user with the most advantageous conditions in real time.

[0037] The entire system consists of servers, terminals, and communication devices. The server is responsible for acquiring coupon information and storing it in a database. Terminals acquire user transaction information and provide necessary information by querying the server. When a user makes a purchase, the server selects and applies the appropriate coupon based on the stored information. This process runs in the background without the user being particularly aware of it. Furthermore, if membership registration is required, the terminal automates the procedure based on the user's information.

[0038] For example, when a user proceeds with a purchase at an online store, the terminal sends basic transaction information to the server. Based on this information, the server refers to accumulated coupon data and selects the most suitable coupon. After the coupon is applied, the discounted price is displayed on the terminal, and the user proceeds with the payment. Points corresponding to the purchase are also automatically calculated and awarded to the user's designated points service. Through this entire process, users can enjoy the maximum benefits without any hassle. This system also enables companies to analyze consumer purchasing behavior data and supports the implementation of targeted promotions.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] The server periodically retrieves the latest coupon information from the APIs of various partner companies and platforms. The retrieved information is stored in a database on the server.

[0042] Step 2:

[0043] The terminal retrieves transaction information for goods and services purchased by the user and sends it to the server. This transaction information includes details such as product name, quantity, and price.

[0044] Step 3:

[0045] Based on the transaction information received by the server, it searches the database for relevant coupon information and selects the most advantageous coupon.

[0046] Step 4:

[0047] The server sends the selected coupon information back to the terminal and calculates the price after the discount is applied.

[0048] Step 5:

[0049] The device displays the discounted price to the user, and the user selects carrier billing to complete the payment.

[0050] Step 6:

[0051] The server calculates points based on the purchase details and awards them to the points service specified by the user.

[0052] Step 7:

[0053] The server generates and sends analytical reports to client companies based on user purchase information. This allows companies to better understand consumer purchasing behavior and develop more effective marketing strategies.

[0054] (Example 1)

[0055] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0056] For consumers to automatically select and apply the best price discounts when conducting commercial transactions, there is a challenge in that it requires manually scrutinizing a large amount of discount information and processing accordingly, which is time-consuming and laborious. Furthermore, users are burdened with having to enter information each time they receive benefits or register as a member.

[0057] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0058] In this invention, the server includes means for storing price discount information acquired by a data transmission and reception device in a storage device, means for acquiring the user's commercial transaction information, and means for selecting the optimal price discount information related to the commercial transaction information from the price discount information stored in the storage device. As a result, consumers can automatically obtain the optimal price discount without any effort, enabling a smoother purchasing experience.

[0059] A "data transmission and reception device" is a device that has the function of acquiring information from an external source via a communication network and transferring it to an internal system.

[0060] "Price discount information" refers to information about economic benefits such as discounts, coupons, or promotions that apply to products or services.

[0061] A "storage device" is a device that organizes and stores acquired information and manages it so that it can be quickly accessed as needed.

[0062] "User" refers to an individual or group that purchases or uses goods or services, and is the entity that benefits from the system.

[0063] "Commercial transaction information" refers to purchase data generated when a user purchases goods or services, such as product name, price, quantity, and date and time of purchase.

[0064] "Means for selecting price discount information" refers to a method that has the function of finding the price discount that is most suitable for the user's business transaction information from among a large amount of stored price discount information.

[0065] A "reward provision service" is a service that manages and provides points and other benefits awarded to users based on commercial transactions.

[0066] To realize this invention, it is necessary to build an integrated system through a server and terminals. The server will utilize data transmission and reception devices to obtain price discount information from external partner platforms and data providers. Specifically, the software will use Python scripts to access APIs, analyze the data, extract the necessary information, and store it in storage. Database management systems such as MongoDB and MySQL® will be used for this purpose.

[0067] The terminal is responsible for actually acquiring the user's transaction information and providing an interface to facilitate the payment process. This interface is built using front-end frameworks such as React and Vue.js, and is designed to allow users to use the system seamlessly. Information is sent and received securely using the HTTPS protocol.

[0068] Through this system, users can unconsciously enjoy the most advantageous price benefits. For example, when a user attempts to purchase an item from an online store, transaction information is automatically collected, and the best price benefits are applied. As a result, users can purchase items at a discounted price, and at the same time, benefits through a points service are automatically granted.

[0069] As a concrete example, the following prompt is input to the generating AI model:

[0070] "Please provide the following details of your online store purchase: Product ID: 12345, Price: 5000 yen, Purchase Date: October 21, 2023. Please search for any applicable coupons for this transaction and provide the discounted price."

[0071] This entire process allows users to enjoy maximum benefits without any hassle, and enables companies to efficiently implement promotions that leverage consumer purchasing trends.

[0072] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0073] Step 1:

[0074] The server obtains price discount information as input through external data sources and partner company interfaces. This input data is received as an API request. The server parses this data, specifically using Python to break down the JSON format data, extract the necessary coupon information, and store it in the database. During this process, information such as coupon type, application conditions, and expiration date is organized and processed for storage in the database.

[0075] Step 2:

[0076] The terminal collects transaction information as input when a user begins the purchase process at an online store. This transaction information includes product ID, price, quantity, and purchase date and time. Specifically, data is automatically collected by front-end JavaScript® when the user presses the "Confirm Purchase" button. This input data is sent to the server via the HTTPS protocol. The terminal's role is to accurately transmit the collected data to the server.

[0077] Step 3:

[0078] The server uses the received transaction information as input and compares it with the price discount information database stored in its memory. At this stage, it executes SQL queries to search for applicable discounts. The server selects the most suitable discount, calculates the applicable discounts and coupon information, and generates the discounted information as output. This data calculation determines the optimal transaction conditions for the user.

[0079] Step 4:

[0080] The terminal receives transaction information after the discount has been applied, sent from the server, as input and displays it on the user interface as output. Through this information, the user can confirm the final price after the discount has been applied. Specifically, the price on the screen is updated in real time, and a message such as "Discount applied: Total 4000 yen" is displayed. The role of the terminal is to arrange the display so that the user can easily check the information visually.

[0081] Step 5:

[0082] Once the user completes the purchase process, the server calculates the points corresponding to the transaction and sends the result as output to the rewards service provider. Specifically, the points are credited to the user's account via the points management API. After all transactions are completed, the user's point balance is updated and the points become available for use in the next transaction.

[0083] Through this series of steps, users can seamlessly receive optimal benefits and earn points, resulting in a more fulfilling shopping experience.

[0084] (Application Example 1)

[0085] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0086] A challenge is ensuring that consumers can easily access the best discounts and coupons when shopping or using services. The lack of such automated systems forces consumers to manually search for and enter coupons, which is inconvenient. Furthermore, the difficulty in easily verifying discount amounts after use also detracts from the consumer experience. Additionally, the lack of automatic point and reward accrual features often requires consumers to go through additional procedures.

[0087] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0088] In this invention, the server includes means for storing discount information acquired by a communication device in a storage unit, means for detecting user transaction data, means for selecting the optimal discount information related to the transaction data from the discount information stored in the storage unit, means for automatically applying the selected discount information to the transaction, and means for displaying the discounted amount on the user interface after the transaction is completed. As a result, consumers can receive the most advantageous discounts in real time without any effort, and the overall purchasing experience can be improved through the automatic awarding of rewards and points.

[0089] A "communication device" is a device for sending and receiving data, and in this invention, it plays the role of acquiring discount information.

[0090] "Discount information" refers to information about discounts and coupons that apply to goods or services under specific conditions, and is intended to allow consumers to gain economic benefits in transactions.

[0091] A "storage unit" is a device or system for temporarily or long-term storage of data, and in this invention, it is used to store discount information.

[0092] "Users" refers to consumers who purchase or use goods or services, and are the subject of this invention.

[0093] "Transaction data" refers to data generated when consumers purchase goods or services, and includes information such as the type of product, price, and quantity.

[0094] "Means of selection" refers to methods or algorithms for selecting the most suitable discount information from data stored in the memory unit based on specific conditions.

[0095] "Means of application" refers to the processes and technologies used to automatically incorporate selected discount information into actual transactions.

[0096] A "user interface" is a means of input and output for a user to operate or instruct a system, and is used to display the discounted price.

[0097] "Rewards" refer to economic benefits such as points or cashback that are given to consumers based on a transaction.

[0098] A "reward service" is a system or platform for managing, awarding, and utilizing rewards such as points and cashback.

[0099] This invention provides a system that allows consumers to automatically enjoy optimal discounts through their daily purchasing activities. Specific embodiments thereof are described below.

[0100] The server collects data via communication devices to obtain discount information and stores it in a memory unit. This memory unit is configured using a large-scale database system (e.g., Amazon DynamoDB), where discount and coupon information is constantly updated and stored.

[0101] The device detects transaction data generated when a user purchases goods or services and sends that data to a server. This process is carried out via a smartphone application (e.g., an app developed with React Native) and requires minimal user interaction.

[0102] Based on the received transaction data, the server selects the best discount information from the discount information stored in its memory. The selected discount is applied to the terminal, and the discounted price is displayed on the user interface. The terminal also automatically calculates the reward based on the transaction and grants the reward to the reward service specified by the user.

[0103] As a concrete example, consider a scenario where a user tries to purchase clothing from an online store. The user opens a smartphone app and adds items to their shopping cart, at which point transaction data is automatically sent to the server. The server retrieves relevant coupon information from its database and automatically selects the appropriate discount to apply. Once the transaction is complete, the final payment amount is displayed in the app, and points that can be used for future purchases are awarded.

[0104] An example of a prompt to input into a generative AI model might be: "I want an app that automatically selects coupons that users can use while online shopping. Please design an app that applies the best discount based on transaction information. Please suggest ways to prioritize UX and keep the operation simple." This prompt forms the foundation of the AI ​​model that delivers the user experience they desire.

[0105] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0106] Step 1:

[0107] When a user purchases a product, the device acquires transaction data. This transaction data includes information such as the product, quantity, and price. The device packages this data into packets and sends them to the server. This process builds the background information of the transaction.

[0108] Step 2:

[0109] The server analyzes the transaction data received from the terminal. Using its database system, the server queries for the most suitable discount information that matches the transaction data. Data comparison calculations are performed, and the relevant discount conditions are extracted. The server's output is the optimal discount information.

[0110] Step 3:

[0111] The server sends the selected discount information back to the terminal. The terminal applies the received discount information to the transaction and calculates the discounted price. This is done using a simple subtraction operation, and the calculation result is displayed on the user interface.

[0112] Step 4:

[0113] After a transaction is completed, the terminal calculates the reward for that transaction. The reward calculation includes a percentage calculation based on the transaction amount. The calculated reward is automatically credited to the reward service specified by the user.

[0114] Step 5:

[0115] After completing a transaction, users can view the discounted amount and awarded reward points on the user interface on their device. This allows them to understand the transaction details and associated benefits in real time.

[0116] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0117] This invention provides a system that optimizes coupon application when consumers purchase goods or services using carrier billing by combining it with an emotion engine. This system detects the user's emotional state at the time, in addition to the user's transaction information, and selects the most appropriate coupon based on the acquired data.

[0118] The system consists of a server, terminals, communication devices, and an emotion engine. First, the server retrieves coupon information from various platforms via the communication devices and stores it in a database. The terminals collect detailed information when users make transactions, and the emotion engine analyzes the user's emotional state from their facial expressions and voice. For example, if the system detects that the user is excited or satisfied, it can then use the retrieved coupon information to present specific promotions based on that emotion.

[0119] In this way, the server selects and applies the most suitable coupon based on the user information and emotional state it receives. The discounted price is displayed on the terminal, and the user can proceed with carrier billing as usual. Furthermore, the emotional data obtained during the transaction can be used to analyze the effectiveness of marketing efforts.

[0120] For example, if the emotion engine detects joy from a user's tone of voice or facial expression while they are purchasing an item online, the server will present them with a surprise discount coupon or gift information. This can improve user satisfaction and provide a more emotionally resonant shopping experience. This system offers consumers a more personalized sense of value and provides businesses with a more effective promotional tool.

[0121] The following describes the processing flow.

[0122] Step 1:

[0123] The server periodically retrieves coupon information from APIs of various platforms and companies and stores this information in a database. This ensures that the latest and most diverse discount information is always available.

[0124] Step 2:

[0125] The user initiates a purchase online or in a physical store using a device. Transaction details, such as product name and quantity, are entered into the device.

[0126] Step 3:

[0127] An emotion engine built into the device analyzes the user's facial expressions and voice tone to identify their current emotional state. This emotional state is then categorized into specific emotional categories such as "joy," "surprise," and "dissatisfaction."

[0128] Step 4:

[0129] The device sends transaction information and detected sentiment information to the server. This allows the server to gain a deeper understanding of the user's purchasing experience.

[0130] Step 5:

[0131] The server compares coupon information stored in the database with information submitted by the user. It selects the most appropriate coupon based on the user's emotional state and applies it to the transaction.

[0132] Step 6:

[0133] The server calculates the discounted price after applying the selected coupon and sends the details to the user's device. The user confirms the discount on their device and completes the payment via carrier billing.

[0134] Step 7:

[0135] The server analyzes the emotional data obtained by the emotion engine and uses it to evaluate the effectiveness of marketing and promotional activities. This data is useful for designing future campaigns.

[0136] (Example 2)

[0137] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0138] Conventional systems for applying preferential treatment information uniformly without considering the emotional state of users, which has the problem of failing to maximize individual purchasing intent and satisfaction. Therefore, there is a need for a system that can select the most appropriate preferential treatment information for each individual, taking into account their emotional state.

[0139] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0140] In this invention, the server includes means for storing preferential information acquired via communication means in a storage unit, means for detecting user transaction information, and means for evaluating the user's emotional state using emotion analysis means. This makes it possible to select the most suitable preferential information based on the user's emotional state and transaction information and automatically apply it to the relevant transaction.

[0141] "Communication means" refers to equipment or methods for exchanging information, including sending and receiving data via a network.

[0142] "Special offer information" refers to information intended to improve transaction conditions for users, and specifically includes information such as discounts and benefits.

[0143] A "storage unit" is a device or component for storing data, and is equipped with the function of retaining specific information for a long period of time.

[0144] "User" refers to an individual or legal entity that uses the system to trade goods or services.

[0145] "Transaction information" refers to detailed information generated when a user purchases goods or services, including product name, quantity, price, etc.

[0146] "Emotional analysis means" refers to a device or method for evaluating a user's emotional state, which determines the user's internal state based on data such as facial expressions and voice.

[0147] "Emotional state" refers to the internal emotional state that a user exhibits during a transaction, and can represent specific emotions such as joy or excitement.

[0148] "Means of selection" refers to a function or method of choosing the option that best matches specific conditions from among multiple choices.

[0149] This invention realizes a system that applies optimal preferential information to users based on their emotional state. This system mainly consists of a server, a terminal, communication means, and emotion analysis means.

[0150] The server acquires preferential treatment information from various platforms via communication methods and stores it in its memory. This preferential treatment information is applicable to the user's transactions and is regularly updated to ensure that the latest information is kept in the database. The terminal collects detailed information when the user conducts a transaction, analyzes facial expressions and voice data using built-in emotion analysis tools, and evaluates the user's emotional state in real time.

[0151] If the user's emotion is determined to be "joy," the server uses that information to select the most appropriate promotional offer from its memory and sends it to the terminal. For example, when a user purchases an item from an online store, if the emotion analysis system detects high satisfaction from their tone of voice and facial expression, the server immediately displays promotional information on the terminal offering an additional discount. In this way, a personalized shopping experience is provided, increasing user satisfaction.

[0152] Furthermore, this system utilizes a generative AI model and prompt statements to select the appropriate discount. An example of a prompt statement is, "Please tell me the necessary steps to develop a system that provides the optimal coupon based on the user's emotional state." Through this prompt, the AI ​​supports the process from analyzing emotional data to applying discounts, enabling a more highly personalized service.

[0153] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0154] Step 1:

[0155] The server collects discount information from external platforms using communication methods. This acquired discount information is stored in a database. The input is the newly acquired discount information, and the output is the discount information stored in the memory. Specifically, the operation involves retrieving information via an API and writing it to the database.

[0156] Step 2:

[0157] The terminal collects transaction information when a user attempts to purchase goods or services. This information includes product ID, price, and quantity. The input is transaction information provided by the user, and the output is detailed transaction data. Specifically, the application captures data when a transaction begins and sends it to the server.

[0158] Step 3:

[0159] The emotion analysis system built into the device analyzes the user's facial expressions and voice in real time to evaluate their emotional state. The input is the user's voice and video data, and the output is the analyzed emotional state (e.g., joy, excitement). Specifically, the camera and microphone capture the user's voice and face, and then the data is fed into the analysis algorithm.

[0160] Step 4:

[0161] The server receives transaction information and sentiment status from the terminal and selects the most suitable perk information from the database. The input is the user's transaction information and sentiment status, and the output is the selected perk information. A database query is then executed, and an algorithm is applied to extract perks with a high degree of relevance.

[0162] Step 5:

[0163] The server sends the selected discount information to the terminal. The terminal receives this information and displays the final price and discount details to the user. The input is the selected discount information, and the output is the price information after the discount is applied, which is presented to the user. Specifically, the calculation results are updated and displayed in real time on the terminal's display.

[0164] Step 6:

[0165] The user confirms the offered discounted price and completes the carrier payment. The input is the price after the discount is applied and payment information, and the output is a record of the completed transaction. Specifically, when the user presses the confirmation button, the payment process is initiated and the result is recorded on the server.

[0166] (Application Example 2)

[0167] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0168] Traditional carrier billing systems have a problem in that they do not automatically apply optimal coupons or price reduction information based on the user's emotions, and therefore do not provide a sufficiently personalized purchasing experience. Furthermore, there is a lack of systems that analyze the emotional state of users and recommend the most appropriate promotions accordingly, which has resulted in companies' marketing effectiveness not being sufficiently improved.

[0169] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0170] In this invention, the server includes means for storing price reduction information acquired by communication equipment in a storage means, means for detecting the user's payment information, and means for recognizing the user's emotional state. This makes it possible to automatically select and apply the optimal price reduction information based on the user's payment information and emotional state.

[0171] "Communication equipment" refers to devices used for sending and receiving data, and is responsible for acquiring information such as coupons and price reduction information.

[0172] A "memory device" is a device or function for holding acquired data or information, and it stores information and makes it available for reuse.

[0173] "User payment information" refers to information related to a transaction made by a user when purchasing goods or services, and typically includes the amount, product name, and date and time of purchase.

[0174] "User's emotional state" refers to the psychological reactions a user exhibits during a transaction, and is analyzed based on information obtained through facial expressions, voice, and other means.

[0175] "Price reduction information" refers to information that offers discounts on the regular price of goods or services, and is applied to users as coupons or discounts.

[0176] "Automatically selecting and applying" refers to the act of a system independently determining the optimal option without requiring user intervention and immediately reflecting it in the transaction.

[0177] The server first obtains price reduction information from various platforms via communication devices and stores it in a memory device. This information is later used in conjunction with the user's transactions. Next, when the user's smartphone or similar device is activated and used, the user's emotional state is captured by the camera and microphone installed in the device. The emotion engine analyzes this emotional state from facial expressions and voice.

[0178] Based on this emotional state data and transaction information, the server determines which price reduction information is most suitable for the user. This determination includes a process that considers the user's psychological response using emotion recognition technology to select the optimal coupon. The selected price reduction information is immediately applied to the transaction information and displayed on the user's terminal.

[0179] In operating this system, Edge devices use an emotion engine and OpenCV to analyze user behavior with high sensitivity. As part of a marketing strategy, it is possible to improve user satisfaction and provide a customer experience based on that satisfaction. A concrete example is when a user dining at a restaurant uses their smartphone and the system detects a smile indicating happiness, resulting in the user receiving a coupon for a free dessert.

[0180] An example of a prompt to a generative AI model is, in response to "User emotion data: Happy," "Select the most suitable coupon for a user with a happy emotion and present an offer for a free dessert." This demonstrates how the model can generate optimal suggestions based on the user's emotions.

[0181] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0182] Step 1:

[0183] The server acquires price reduction information from various platforms via communication devices. Inputs are information from online databases and coupon distribution platforms, and this information is stored in the database. The output of this step is that the newly acquired coupon information is saved to the server's storage device.

[0184] Step 2:

[0185] The device acquires the user's facial expressions and voice information through its camera and microphone. The input consists of the user's facial image and voice, which are provided to the emotion engine for real-time analysis of their emotional state. The output is data indicating the specific emotional state the user is exhibiting (e.g., joy or excitement).

[0186] Step 3:

[0187] The server selects the optimal price reduction information based on sentiment data and transaction information sent from the terminal. The input consists of sentiment data and user transaction information, and a sentiment recognition algorithm is used to perform data calculations to identify coupons that match the sentiment. The output is the optimal coupon related to the user's transaction.

[0188] Step 4:

[0189] The terminal receives price reduction information selected from the server and applies it to the user's transaction. The input is the optimal coupon information sent from the server, and this information is reflected on the transaction screen. The output is the final price information after the discount displayed on the user's screen.

[0190] Step 5:

[0191] The user reviews the best coupon offered and proceeds with carrier billing as they are satisfied with the transaction. The input is the price information displayed on the device, and the user then proceeds with the actual purchase process. The output is a successful purchase transaction.

[0192] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0193] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0194] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0195] [Second Embodiment]

[0196] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0197] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0198] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0199] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0200] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0201] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0202] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0203] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0204] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0205] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0206] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0207] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0208] The present invention aims to automatically apply the most suitable coupons and discounts to consumers through carrier billing when they make everyday purchases or use services. This system integrates the user's transaction information with coupon information collected from various platforms and provides the user with the most advantageous conditions in real time.

[0209] The entire system consists of servers, terminals, and communication devices. The server is responsible for acquiring coupon information and storing it in a database. Terminals acquire user transaction information and provide necessary information by querying the server. When a user makes a purchase, the server selects and applies the appropriate coupon based on the stored information. This process runs in the background without the user being particularly aware of it. Furthermore, if membership registration is required, the terminal automates the procedure based on the user's information.

[0210] For example, when a user proceeds with a purchase at an online store, the terminal sends basic transaction information to the server. Based on this information, the server refers to accumulated coupon data and selects the most suitable coupon. After the coupon is applied, the discounted price is displayed on the terminal, and the user proceeds with the payment. Points corresponding to the purchase are also automatically calculated and awarded to the user's designated points service. Through this entire process, users can enjoy the maximum benefits without any hassle. This system also enables companies to analyze consumer purchasing behavior data and supports the implementation of targeted promotions.

[0211] The following describes the processing flow.

[0212] Step 1:

[0213] The server periodically retrieves the latest coupon information from the APIs of various partner companies and platforms. The retrieved information is stored in a database on the server.

[0214] Step 2:

[0215] The terminal retrieves transaction information for goods and services purchased by the user and sends it to the server. This transaction information includes details such as product name, quantity, and price.

[0216] Step 3:

[0217] Based on the transaction information received by the server, it searches the database for relevant coupon information and selects the most advantageous coupon.

[0218] Step 4:

[0219] The server sends the selected coupon information back to the terminal and calculates the price after the discount is applied.

[0220] Step 5:

[0221] The device displays the discounted price to the user, and the user selects carrier billing to complete the payment.

[0222] Step 6:

[0223] The server calculates points based on the purchase details and awards them to the points service specified by the user.

[0224] Step 7:

[0225] The server generates and sends analytical reports to client companies based on user purchase information. This allows companies to better understand consumer purchasing behavior and develop more effective marketing strategies.

[0226] (Example 1)

[0227] Next, we will describe Example 1. 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."

[0228] For consumers to automatically select and apply the best price discounts when conducting commercial transactions, there is a challenge in that it requires manually scrutinizing a large amount of discount information and processing accordingly, which is time-consuming and laborious. Furthermore, users are burdened with having to enter information each time they receive benefits or register as a member.

[0229] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0230] In this invention, the server includes means for storing price discount information acquired by a data transmission and reception device in a storage device, means for acquiring the user's commercial transaction information, and means for selecting the optimal price discount information related to the commercial transaction information from the price discount information stored in the storage device. As a result, consumers can automatically obtain the optimal price discount without any effort, enabling a smoother purchasing experience.

[0231] A "data transmission and reception device" is a device that has the function of acquiring information from an external source via a communication network and transferring it to an internal system.

[0232] "Price discount information" refers to information about economic benefits such as discounts, coupons, or promotions that apply to products or services.

[0233] A "storage device" is a device that organizes and stores acquired information and manages it so that it can be quickly accessed as needed.

[0234] "User" refers to an individual or group that purchases or uses goods or services, and is the entity that benefits from the system.

[0235] "Commercial transaction information" refers to purchase data generated when a user purchases goods or services, such as product name, price, quantity, and date and time of purchase.

[0236] "Means for selecting price discount information" refers to a method that has the function of finding the price discount that is most suitable for the user's business transaction information from among a large amount of stored price discount information.

[0237] A "reward provision service" is a service that manages and provides points and other benefits awarded to users based on commercial transactions.

[0238] To realize this invention, it is necessary to build an integrated system involving a server and terminals. The server will utilize data transmission and reception devices to obtain price discount information from external partner platforms and data providers. Specifically, the software will use Python scripts to access APIs, analyze the data, extract the necessary information, and store it in storage. Database management systems such as MongoDB and MySQL will be used for this purpose.

[0239] The terminal is responsible for actually acquiring the user's transaction information and providing an interface to facilitate the payment process. This interface is built using front-end frameworks such as React and Vue.js, and is designed to allow users to use the system seamlessly. Information is sent and received securely using the HTTPS protocol.

[0240] Through this system, users can unconsciously enjoy the most advantageous price benefits. For example, when a user attempts to purchase an item from an online store, transaction information is automatically collected, and the best price benefits are applied. As a result, users can purchase items at a discounted price, and at the same time, benefits through a points service are automatically granted.

[0241] As a concrete example, the following prompt is input to the generating AI model:

[0242] "Please provide the following details of your online store purchase: Product ID: 12345, Price: 5000 yen, Purchase Date: October 21, 2023. Please search for any applicable coupons for this transaction and provide the discounted price."

[0243] This entire process allows users to enjoy maximum benefits without any hassle, and enables companies to efficiently implement promotions that leverage consumer purchasing trends.

[0244] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0245] Step 1:

[0246] The server obtains price discount information as input through external data sources and partner company interfaces. This input data is received as an API request. The server parses this data, specifically using Python to break down the JSON format data, extract the necessary coupon information, and store it in the database. During this process, information such as coupon type, application conditions, and expiration date is organized and processed for storage in the database.

[0247] Step 2:

[0248] The terminal collects transaction information as input when a user begins the purchase process at an online store. This transaction information includes product ID, price, quantity, and purchase date and time. Specifically, data is automatically collected by front-end JavaScript when the user clicks the "Confirm Purchase" button. This input data is sent to the server via the HTTPS protocol. The terminal's role is to accurately transmit the collected data to the server.

[0249] Step 3:

[0250] The server uses the received transaction information as input and compares it with the price discount information database stored in its memory. At this stage, it executes SQL queries to search for applicable discounts. The server selects the most suitable discount, calculates the applicable discounts and coupon information, and generates the discounted information as output. This data calculation determines the optimal transaction conditions for the user.

[0251] Step 4:

[0252] The terminal receives transaction information after the discount has been applied, sent from the server, as input and displays it on the user interface as output. Through this information, the user can confirm the final price after the discount has been applied. Specifically, the price on the screen is updated in real time, and a message such as "Discount applied: Total 4000 yen" is displayed. The role of the terminal is to arrange the display so that the user can easily check the information visually.

[0253] Step 5:

[0254] Once the user completes the purchase process, the server calculates the points corresponding to the transaction and sends the result as output to the rewards service provider. Specifically, the points are credited to the user's account via the points management API. After all transactions are completed, the user's point balance is updated and the points become available for use in the next transaction.

[0255] Through this series of steps, users can seamlessly receive optimal benefits and earn points, resulting in a more fulfilling shopping experience.

[0256] (Application Example 1)

[0257] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0258] A challenge is ensuring that consumers can easily access the best discounts and coupons when shopping or using services. The lack of such automated systems forces consumers to manually search for and enter coupons, which is inconvenient. Furthermore, the difficulty in easily verifying discount amounts after use also detracts from the consumer experience. Additionally, the lack of automatic point and reward accrual features often requires consumers to go through additional procedures.

[0259] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0260] In this invention, the server includes means for storing discount information acquired by a communication device in a storage unit, means for detecting user transaction data, means for selecting the optimal discount information related to the transaction data from the discount information stored in the storage unit, means for automatically applying the selected discount information to the transaction, and means for displaying the discounted amount on the user interface after the transaction is completed. As a result, consumers can receive the most advantageous discounts in real time without any effort, and the overall purchasing experience can be improved through the automatic awarding of rewards and points.

[0261] A "communication device" is a device for sending and receiving data, and in this invention, it plays the role of acquiring discount information.

[0262] "Discount information" refers to information about discounts and coupons that apply to goods or services under specific conditions, and is intended to allow consumers to gain economic benefits in transactions.

[0263] A "storage unit" is a device or system for temporarily or long-term storage of data, and in this invention, it is used to store discount information.

[0264] "Users" refers to consumers who purchase or use goods or services, and are the subject of this invention.

[0265] "Transaction data" refers to data generated when consumers purchase goods or services, and includes information such as the type of product, price, and quantity.

[0266] "Means of selection" refers to methods or algorithms for selecting the most suitable discount information from data stored in the memory unit based on specific conditions.

[0267] "Means of application" refers to the processes and technologies used to automatically incorporate selected discount information into actual transactions.

[0268] A "user interface" is a means of input and output for a user to operate or instruct a system, and is used to display the discounted price.

[0269] "Rewards" refer to economic benefits such as points or cashback that are given to consumers based on a transaction.

[0270] A "reward service" is a system or platform for managing, awarding, and utilizing rewards such as points and cashback.

[0271] This invention provides a system that allows consumers to automatically enjoy optimal discounts through their daily purchasing activities. Specific embodiments thereof are described below.

[0272] The server collects data via communication devices to obtain discount information and stores it in a memory unit. This memory unit is configured using a large-scale database system (e.g., Amazon DynamoDB), where discount and coupon information is constantly updated and stored.

[0273] The device detects transaction data generated when a user purchases goods or services and sends that data to a server. This process is carried out via a smartphone application (e.g., an app developed with React Native) and requires minimal user interaction.

[0274] Based on the received transaction data, the server selects the best discount information from the discount information stored in its memory. The selected discount is applied to the terminal, and the discounted price is displayed on the user interface. The terminal also automatically calculates the reward based on the transaction and grants the reward to the reward service specified by the user.

[0275] As a concrete example, consider a scenario where a user tries to purchase clothing from an online store. The user opens a smartphone app and adds items to their shopping cart, at which point transaction data is automatically sent to the server. The server retrieves relevant coupon information from its database and automatically selects the appropriate discount to apply. Once the transaction is complete, the final payment amount is displayed in the app, and points that can be used for future purchases are awarded.

[0276] An example of a prompt to input into a generative AI model might be: "I want an app that automatically selects coupons that users can use while online shopping. Please design an app that applies the best discount based on transaction information. Please suggest ways to prioritize UX and keep the operation simple." This prompt forms the foundation of the AI ​​model that delivers the user experience they desire.

[0277] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0278] Step 1:

[0279] When a user purchases a product, the device acquires transaction data. This transaction data includes information such as the product, quantity, and price. The device packages this data into packets and sends them to the server. This process builds the background information of the transaction.

[0280] Step 2:

[0281] The server analyzes the transaction data received from the terminal. Using its database system, the server queries for the most suitable discount information that matches the transaction data. Data comparison calculations are performed, and the relevant discount conditions are extracted. The server's output is the optimal discount information.

[0282] Step 3:

[0283] The server returns the selected discount information to the terminal. The terminal applies the received discount information to the transaction and calculates the discounted price. A simple subtraction operation is used for this, and the calculation result is displayed on the user interface.

[0284] Step 4:

[0285] After the transaction is completed, the terminal calculates the reward for that transaction. The reward calculation includes a percentage calculation based on the transaction amount. The calculated reward is automatically awarded to the reward service specified by the user.

[0286] Step 5:

[0287] After the transaction is completed, the user checks the discounted amount and the awarded reward points on the user interface on the terminal. This allows the user to understand the details of the transaction and the accompanying benefits in real time.

[0288] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform specific processing using the user's emotion.

[0289] The present invention is a system that realizes further optimized coupon application by combining an emotion engine when a consumer purchases goods or services using carrier settlement. This system detects the emotional state of the user at that time in addition to the user's transaction information, and selects the most suitable coupon based on the acquired data.

[0290] The system consists of a server, terminals, communication devices, and an emotion engine. First, the server retrieves coupon information from various platforms via the communication devices and stores it in a database. The terminals collect detailed information when users make transactions, and the emotion engine analyzes the user's emotional state from their facial expressions and voice. For example, if the system detects that the user is excited or satisfied, it can then use the retrieved coupon information to present specific promotions based on that emotion.

[0291] In this way, the server selects and applies the most suitable coupon based on the user information and emotional state it receives. The discounted price is displayed on the terminal, and the user can proceed with carrier billing as usual. Furthermore, the emotional data obtained during the transaction can be used to analyze the effectiveness of marketing efforts.

[0292] For example, if the emotion engine detects joy from a user's tone of voice or facial expression while they are purchasing an item online, the server will present them with a surprise discount coupon or gift information. This can improve user satisfaction and provide a more emotionally resonant shopping experience. This system offers consumers a more personalized sense of value and provides businesses with a more effective promotional tool.

[0293] The following describes the processing flow.

[0294] Step 1:

[0295] The server periodically retrieves coupon information from APIs of various platforms and companies and stores this information in a database. This ensures that the latest and most diverse discount information is always available.

[0296] Step 2:

[0297] The user uses the terminal to start an online or in-store purchase. Transaction details, such as product name and quantity, are entered into the terminal.

[0298] Step 3:

[0299] The emotion engine incorporated in the terminal analyzes the user's facial expressions and tone of voice, and identifies the emotional state at that time. The emotional state is classified into specific emotion categories such as "happiness", "surprise", "dissatisfaction", etc.

[0300] Step 4:

[0301] The terminal sends the transaction information and the detected emotion information to the server. This enables the server to understand the user's purchasing experience more deeply.

[0302] Step 5:

[0303] The server matches the coupon information stored in the database with the information sent from the user. The most suitable coupon is selected according to the emotional state and applied to the transaction.

[0304] Step 6:

[0305] The server calculates the discounted price after applying the selected coupon and sends the details to the terminal. The user checks on the terminal and completes the payment by carrier settlement.

[0306] Step 7:

[0307] The server analyzes the emotion data obtained by the emotion engine and uses it to evaluate the effectiveness of marketing and promotion activities. This data is useful for future campaign design.

[0308] (Example 2)

[0309] Next, Example 2 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0310] Conventional systems for applying preferential treatment information uniformly without considering the emotional state of users, which has the problem of failing to maximize individual purchasing intent and satisfaction. Therefore, there is a need for a system that can select the most appropriate preferential treatment information for each individual, taking into account their emotional state.

[0311] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0312] In this invention, the server includes means for storing preferential information acquired via communication means in a storage unit, means for detecting user transaction information, and means for evaluating the user's emotional state using emotion analysis means. This makes it possible to select the most suitable preferential information based on the user's emotional state and transaction information and automatically apply it to the relevant transaction.

[0313] "Communication means" refers to equipment or methods for exchanging information, including sending and receiving data via a network.

[0314] "Special offer information" refers to information intended to improve transaction conditions for users, and specifically includes information such as discounts and benefits.

[0315] A "storage unit" is a device or component for storing data, and is equipped with the function of retaining specific information for a long period of time.

[0316] "User" refers to an individual or legal entity that uses the system to trade goods or services.

[0317] "Transaction information" refers to detailed information generated when a user purchases goods or services, including product name, quantity, price, etc.

[0318] "Emotional analysis means" refers to a device or method for evaluating a user's emotional state, which determines the user's internal state based on data such as facial expressions and voice.

[0319] "Emotional state" refers to the internal emotional state that a user exhibits during a transaction, and can represent specific emotions such as joy or excitement.

[0320] "Means of selection" refers to a function or method of choosing the option that best matches specific conditions from among multiple choices.

[0321] This invention realizes a system that applies optimal preferential information to users based on their emotional state. This system mainly consists of a server, a terminal, communication means, and emotion analysis means.

[0322] The server acquires preferential treatment information from various platforms via communication methods and stores it in its memory. This preferential treatment information is applicable to the user's transactions and is regularly updated to ensure that the latest information is kept in the database. The terminal collects detailed information when the user conducts a transaction, analyzes facial expressions and voice data using built-in emotion analysis tools, and evaluates the user's emotional state in real time.

[0323] If the user's emotion is determined to be "joy," the server uses that information to select the most appropriate promotional offer from its memory and sends it to the terminal. For example, when a user purchases an item from an online store, if the emotion analysis system detects high satisfaction from their tone of voice and facial expression, the server immediately displays promotional information on the terminal offering an additional discount. In this way, a personalized shopping experience is provided, increasing user satisfaction.

[0324] Furthermore, this system utilizes a generative AI model and prompt statements to select the appropriate discount. An example of a prompt statement is, "Please tell me the necessary steps to develop a system that provides the optimal coupon based on the user's emotional state." Through this prompt, the AI ​​supports the process from analyzing emotional data to applying discounts, enabling a more highly personalized service.

[0325] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0326] Step 1:

[0327] The server collects discount information from external platforms using communication methods. This acquired discount information is stored in a database. The input is the newly acquired discount information, and the output is the discount information stored in the memory. Specifically, the operation involves retrieving information via an API and writing it to the database.

[0328] Step 2:

[0329] The terminal collects transaction information when a user attempts to purchase goods or services. This information includes product ID, price, and quantity. The input is transaction information provided by the user, and the output is detailed transaction data. Specifically, the application captures data when a transaction begins and sends it to the server.

[0330] Step 3:

[0331] The emotion analysis system built into the device analyzes the user's facial expressions and voice in real time to evaluate their emotional state. The input is the user's voice and video data, and the output is the analyzed emotional state (e.g., joy, excitement). Specifically, the camera and microphone capture the user's voice and face, and then the data is fed into the analysis algorithm.

[0332] Step 4:

[0333] The server receives transaction information and sentiment status from the terminal and selects the most suitable perk information from the database. The input is the user's transaction information and sentiment status, and the output is the selected perk information. A database query is then executed, and an algorithm is applied to extract perks with a high degree of relevance.

[0334] Step 5:

[0335] The server sends the selected discount information to the terminal. The terminal receives this information and displays the final price and discount details to the user. The input is the selected discount information, and the output is the price information after the discount is applied, which is presented to the user. Specifically, the calculation results are updated and displayed in real time on the terminal's display.

[0336] Step 6:

[0337] The user confirms the offered discounted price and completes the carrier payment. The input is the price after the discount is applied and payment information, and the output is a record of the completed transaction. Specifically, when the user presses the confirmation button, the payment process is initiated and the result is recorded on the server.

[0338] (Application Example 2)

[0339] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0340] Traditional carrier billing systems have a problem in that they do not automatically apply optimal coupons or price reduction information based on the user's emotions, and therefore do not provide a sufficiently personalized purchasing experience. Furthermore, there is a lack of systems that analyze the emotional state of users and recommend the most appropriate promotions accordingly, which has resulted in companies' marketing effectiveness not being sufficiently improved.

[0341] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0342] In this invention, the server includes means for storing price reduction information acquired by communication equipment in a storage means, means for detecting the user's payment information, and means for recognizing the user's emotional state. This makes it possible to automatically select and apply the optimal price reduction information based on the user's payment information and emotional state.

[0343] "Communication equipment" refers to devices used for sending and receiving data, and is responsible for acquiring information such as coupons and price reduction information.

[0344] A "memory device" is a device or function for holding acquired data or information, and it stores information and makes it available for reuse.

[0345] "User payment information" refers to information related to a transaction made by a user when purchasing goods or services, and typically includes the amount, product name, and date and time of purchase.

[0346] "User's emotional state" refers to the psychological reactions a user exhibits during a transaction, and is analyzed based on information obtained through facial expressions, voice, and other means.

[0347] "Price reduction information" refers to information that offers discounts on the regular price of goods or services, and is applied to users as coupons or discounts.

[0348] "Automatically selecting and applying" refers to the act of a system independently determining the optimal option without requiring user intervention and immediately reflecting it in the transaction.

[0349] The server first obtains price reduction information from various platforms via communication devices and stores it in a memory device. This information is later used in conjunction with the user's transactions. Next, when the user's smartphone or similar device is activated and used, the user's emotional state is captured by the camera and microphone installed in the device. The emotion engine analyzes this emotional state from facial expressions and voice.

[0350] Based on this emotional state data and transaction information, the server determines which price reduction information is most suitable for the user. This determination includes a process that considers the user's psychological response using emotion recognition technology to select the optimal coupon. The selected price reduction information is immediately applied to the transaction information and displayed on the user's terminal.

[0351] In operating this system, Edge devices use an emotion engine and OpenCV to analyze user behavior with high sensitivity. As part of a marketing strategy, it is possible to improve user satisfaction and provide a customer experience based on that satisfaction. A concrete example is when a user dining at a restaurant uses their smartphone and the system detects a smile indicating happiness, resulting in the user receiving a coupon for a free dessert.

[0352] An example of a prompt to a generative AI model is, in response to "User emotion data: Happy," "Select the most suitable coupon for a user with a happy emotion and present an offer for a free dessert." This demonstrates how the model can generate optimal suggestions based on the user's emotions.

[0353] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0354] Step 1:

[0355] The server acquires price reduction information from various platforms via communication devices. Inputs are information from online databases and coupon distribution platforms, and this information is stored in the database. The output of this step is that the newly acquired coupon information is saved to the server's storage device.

[0356] Step 2:

[0357] The device acquires the user's facial expressions and voice information through its camera and microphone. The input consists of the user's facial image and voice, which are provided to the emotion engine for real-time analysis of their emotional state. The output is data indicating the specific emotional state the user is exhibiting (e.g., joy or excitement).

[0358] Step 3:

[0359] The server selects the optimal price reduction information based on sentiment data and transaction information sent from the terminal. The input consists of sentiment data and user transaction information, and a sentiment recognition algorithm is used to perform data calculations to identify coupons that match the sentiment. The output is the optimal coupon related to the user's transaction.

[0360] Step 4:

[0361] The terminal receives price reduction information selected from the server and applies it to the user's transaction. The input is the optimal coupon information sent from the server, and this information is reflected on the transaction screen. The output is the final price information after the discount displayed on the user's screen.

[0362] Step 5:

[0363] The user reviews the best coupon offered and proceeds with carrier billing as they are satisfied with the transaction. The input is the price information displayed on the device, and the user then proceeds with the actual purchase process. The output is a successful purchase transaction.

[0364] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0365] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0366] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0367] [Third Embodiment]

[0368] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0369] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0370] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0371] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0372] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0373] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0374] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0375] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0376] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0377] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0378] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0379] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0380] The present invention aims to automatically apply the most suitable coupons and discounts to consumers through carrier billing when they make everyday purchases or use services. This system integrates the user's transaction information with coupon information collected from various platforms and provides the user with the most advantageous conditions in real time.

[0381] The entire system consists of servers, terminals, and communication devices. The server is responsible for acquiring coupon information and storing it in a database. Terminals acquire user transaction information and provide necessary information by querying the server. When a user makes a purchase, the server selects and applies the appropriate coupon based on the stored information. This process runs in the background without the user being particularly aware of it. Furthermore, if membership registration is required, the terminal automates the procedure based on the user's information.

[0382] For example, when a user proceeds with a purchase at an online store, the terminal sends basic transaction information to the server. Based on this information, the server refers to accumulated coupon data and selects the most suitable coupon. After the coupon is applied, the discounted price is displayed on the terminal, and the user proceeds with the payment. Points corresponding to the purchase are also automatically calculated and awarded to the user's designated points service. Through this entire process, users can enjoy the maximum benefits without any hassle. This system also enables companies to analyze consumer purchasing behavior data and supports the implementation of targeted promotions.

[0383] The following describes the processing flow.

[0384] Step 1:

[0385] The server periodically retrieves the latest coupon information from the APIs of various partner companies and platforms. The retrieved information is stored in a database on the server.

[0386] Step 2:

[0387] The terminal retrieves transaction information for goods and services purchased by the user and sends it to the server. This transaction information includes details such as product name, quantity, and price.

[0388] Step 3:

[0389] Based on the transaction information received by the server, it searches the database for relevant coupon information and selects the most advantageous coupon.

[0390] Step 4:

[0391] The server sends the selected coupon information back to the terminal and calculates the price after the discount is applied.

[0392] Step 5:

[0393] The device displays the discounted price to the user, and the user selects carrier billing to complete the payment.

[0394] Step 6:

[0395] The server calculates points based on the purchase details and awards them to the points service specified by the user.

[0396] Step 7:

[0397] The server generates and sends analytical reports to client companies based on user purchase information. This allows companies to better understand consumer purchasing behavior and develop more effective marketing strategies.

[0398] (Example 1)

[0399] Next, we will describe Example 1. 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."

[0400] For consumers to automatically select and apply the best price discounts when conducting commercial transactions, there is a challenge in that it requires manually scrutinizing a large amount of discount information and processing accordingly, which is time-consuming and laborious. Furthermore, users are burdened with having to enter information each time they receive benefits or register as a member.

[0401] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0402] In this invention, the server includes means for storing price discount information acquired by a data transmission and reception device in a storage device, means for acquiring the user's commercial transaction information, and means for selecting the optimal price discount information related to the commercial transaction information from the price discount information stored in the storage device. As a result, consumers can automatically obtain the optimal price discount without any effort, enabling a smoother purchasing experience.

[0403] A "data transmission and reception device" is a device that has the function of acquiring information from an external source via a communication network and transferring it to an internal system.

[0404] "Price discount information" refers to information about economic benefits such as discounts, coupons, or promotions that apply to products or services.

[0405] A "storage device" is a device that organizes and stores acquired information and manages it so that it can be quickly accessed as needed.

[0406] "User" refers to an individual or group that purchases or uses goods or services, and is the entity that benefits from the system.

[0407] "Commercial transaction information" refers to purchase data generated when a user purchases goods or services, such as product name, price, quantity, and date and time of purchase.

[0408] "Means for selecting price discount information" refers to a method that has the function of finding the price discount that is most suitable for the user's business transaction information from among a large amount of stored price discount information.

[0409] A "reward provision service" is a service that manages and provides points and other benefits awarded to users based on commercial transactions.

[0410] To realize this invention, it is necessary to build an integrated system involving a server and terminals. The server will utilize data transmission and reception devices to obtain price discount information from external partner platforms and data providers. Specifically, the software will use Python scripts to access APIs, analyze the data, extract the necessary information, and store it in storage. Database management systems such as MongoDB and MySQL will be used for this purpose.

[0411] The terminal is responsible for actually acquiring the user's transaction information and providing an interface to facilitate the payment process. This interface is built using front-end frameworks such as React and Vue.js, and is designed to allow users to use the system seamlessly. Information is sent and received securely using the HTTPS protocol.

[0412] Through this system, users can unconsciously enjoy the most advantageous price benefits. For example, when a user attempts to purchase an item from an online store, transaction information is automatically collected, and the best price benefits are applied. As a result, users can purchase items at a discounted price, and at the same time, benefits through a points service are automatically granted.

[0413] As a concrete example, the following prompt is input to the generating AI model:

[0414] "Please provide the following details of your online store purchase: Product ID: 12345, Price: 5000 yen, Purchase Date: October 21, 2023. Please search for any applicable coupons for this transaction and provide the discounted price."

[0415] This entire process allows users to enjoy maximum benefits without any hassle, and enables companies to efficiently implement promotions that leverage consumer purchasing trends.

[0416] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0417] Step 1:

[0418] The server obtains price discount information as input through external data sources and partner company interfaces. This input data is received as an API request. The server parses this data, specifically using Python to break down the JSON format data, extract the necessary coupon information, and store it in the database. During this process, information such as coupon type, application conditions, and expiration date is organized and processed for storage in the database.

[0419] Step 2:

[0420] The terminal collects transaction information as input when a user begins the purchase process at an online store. This transaction information includes product ID, price, quantity, and purchase date and time. Specifically, data is automatically collected by front-end JavaScript when the user clicks the "Confirm Purchase" button. This input data is sent to the server via the HTTPS protocol. The terminal's role is to accurately transmit the collected data to the server.

[0421] Step 3:

[0422] The server uses the received transaction information as input and compares it with the price discount information database stored in its memory. At this stage, it executes SQL queries to search for applicable discounts. The server selects the most suitable discount, calculates the applicable discounts and coupon information, and generates the discounted information as output. This data calculation determines the optimal transaction conditions for the user.

[0423] Step 4:

[0424] The terminal receives transaction information after the discount has been applied, sent from the server, as input and displays it on the user interface as output. Through this information, the user can confirm the final price after the discount has been applied. Specifically, the price on the screen is updated in real time, and a message such as "Discount applied: Total 4000 yen" is displayed. The role of the terminal is to arrange the display so that the user can easily check the information visually.

[0425] Step 5:

[0426] Once the user completes the purchase process, the server calculates the points corresponding to the transaction and sends the result as output to the rewards service provider. Specifically, the points are credited to the user's account via the points management API. After all transactions are completed, the user's point balance is updated and the points become available for use in the next transaction.

[0427] Through this series of steps, users can seamlessly receive optimal benefits and earn points, resulting in a more fulfilling shopping experience.

[0428] (Application Example 1)

[0429] Next, we will explain Application Example 1. In the following explanation, 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."

[0430] A challenge is ensuring that consumers can easily access the best discounts and coupons when shopping or using services. The lack of such automated systems forces consumers to manually search for and enter coupons, which is inconvenient. Furthermore, the difficulty in easily verifying discount amounts after use also detracts from the consumer experience. Additionally, the lack of automatic point and reward accrual features often requires consumers to go through additional procedures.

[0431] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0432] In this invention, the server includes means for storing discount information acquired by a communication device in a storage unit, means for detecting user transaction data, means for selecting the optimal discount information related to the transaction data from the discount information stored in the storage unit, means for automatically applying the selected discount information to the transaction, and means for displaying the discounted amount on the user interface after the transaction is completed. As a result, consumers can receive the most advantageous discounts in real time without any effort, and the overall purchasing experience can be improved through the automatic awarding of rewards and points.

[0433] A "communication device" is a device for sending and receiving data, and in this invention, it plays the role of acquiring discount information.

[0434] "Discount information" refers to information about discounts and coupons that apply to goods or services under specific conditions, and is intended to allow consumers to gain economic benefits in transactions.

[0435] A "storage unit" is a device or system for temporarily or long-term storage of data, and in this invention, it is used to store discount information.

[0436] "Users" refers to consumers who purchase or use goods or services, and are the subject of this invention.

[0437] "Transaction data" refers to data generated when consumers purchase goods or services, and includes information such as the type of product, price, and quantity.

[0438] "Means of selection" refers to methods or algorithms for selecting the most suitable discount information from data stored in the memory unit based on specific conditions.

[0439] "Means of application" refers to the processes and technologies used to automatically incorporate selected discount information into actual transactions.

[0440] A "user interface" is a means of input and output for a user to operate or instruct a system, and is used to display the discounted price.

[0441] "Rewards" refer to economic benefits such as points or cashback that are given to consumers based on a transaction.

[0442] A "reward service" is a system or platform for managing, awarding, and utilizing rewards such as points and cashback.

[0443] This invention provides a system that allows consumers to automatically enjoy optimal discounts through their daily purchasing activities. Specific embodiments thereof are described below.

[0444] The server collects data via communication devices to obtain discount information and stores it in a memory unit. This memory unit is configured using a large-scale database system (e.g., Amazon DynamoDB), where discount and coupon information is constantly updated and stored.

[0445] The device detects transaction data generated when a user purchases goods or services and sends that data to a server. This process is carried out via a smartphone application (e.g., an app developed with React Native) and requires minimal user interaction.

[0446] Based on the received transaction data, the server selects the best discount information from the discount information stored in its memory. The selected discount is applied to the terminal, and the discounted price is displayed on the user interface. The terminal also automatically calculates the reward based on the transaction and grants the reward to the reward service specified by the user.

[0447] As a concrete example, consider a scenario where a user tries to purchase clothing from an online store. The user opens a smartphone app and adds items to their shopping cart, at which point transaction data is automatically sent to the server. The server retrieves relevant coupon information from its database and automatically selects the appropriate discount to apply. Once the transaction is complete, the final payment amount is displayed in the app, and points that can be used for future purchases are awarded.

[0448] An example of a prompt to input into a generative AI model might be: "I want an app that automatically selects coupons that users can use while online shopping. Please design an app that applies the best discount based on transaction information. Please suggest ways to prioritize UX and keep the operation simple." This prompt forms the foundation of the AI ​​model that delivers the user experience they desire.

[0449] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0450] Step 1:

[0451] When a user purchases a product, the device acquires transaction data. This transaction data includes information such as the product, quantity, and price. The device packages this data into packets and sends them to the server. This process builds the background information of the transaction.

[0452] Step 2:

[0453] The server analyzes the transaction data received from the terminal. Using its database system, the server queries for the most suitable discount information that matches the transaction data. Data comparison calculations are performed, and the relevant discount conditions are extracted. The server's output is the optimal discount information.

[0454] Step 3:

[0455] The server sends the selected discount information back to the terminal. The terminal applies the received discount information to the transaction and calculates the discounted price. This is done using a simple subtraction operation, and the calculation result is displayed on the user interface.

[0456] Step 4:

[0457] After a transaction is completed, the terminal calculates the reward for that transaction. The reward calculation includes a percentage calculation based on the transaction amount. The calculated reward is automatically credited to the reward service specified by the user.

[0458] Step 5:

[0459] After completing a transaction, users can view the discounted amount and awarded reward points on the user interface on their device. This allows them to understand the transaction details and associated benefits in real time.

[0460] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0461] This invention provides a system that optimizes coupon application when consumers purchase goods or services using carrier billing by combining it with an emotion engine. This system detects the user's emotional state at the time, in addition to the user's transaction information, and selects the most appropriate coupon based on the acquired data.

[0462] The system consists of a server, terminals, communication devices, and an emotion engine. First, the server retrieves coupon information from various platforms via the communication devices and stores it in a database. The terminals collect detailed information when users make transactions, and the emotion engine analyzes the user's emotional state from their facial expressions and voice. For example, if the system detects that the user is excited or satisfied, it can then use the retrieved coupon information to present specific promotions based on that emotion.

[0463] In this way, the server selects and applies the most suitable coupon based on the user information and emotional state it receives. The discounted price is displayed on the terminal, and the user can proceed with carrier billing as usual. Furthermore, the emotional data obtained during the transaction can be used to analyze the effectiveness of marketing efforts.

[0464] For example, if the emotion engine detects joy from a user's tone of voice or facial expression while they are purchasing an item online, the server will present them with a surprise discount coupon or gift information. This can improve user satisfaction and provide a more emotionally resonant shopping experience. This system offers consumers a more personalized sense of value and provides businesses with a more effective promotional tool.

[0465] The following describes the processing flow.

[0466] Step 1:

[0467] The server periodically retrieves coupon information from APIs of various platforms and companies and stores this information in a database. This ensures that the latest and most diverse discount information is always available.

[0468] Step 2:

[0469] The user initiates a purchase online or in a physical store using a device. Transaction details, such as product name and quantity, are entered into the device.

[0470] Step 3:

[0471] An emotion engine built into the device analyzes the user's facial expressions and voice tone to identify their current emotional state. This emotional state is then categorized into specific emotional categories such as "joy," "surprise," and "dissatisfaction."

[0472] Step 4:

[0473] The device sends transaction information and detected sentiment information to the server. This allows the server to gain a deeper understanding of the user's purchasing experience.

[0474] Step 5:

[0475] The server compares coupon information stored in the database with information submitted by the user. It selects the most appropriate coupon based on the user's emotional state and applies it to the transaction.

[0476] Step 6:

[0477] The server calculates the discounted price after applying the selected coupon and sends the details to the user's device. The user confirms the discount on their device and completes the payment via carrier billing.

[0478] Step 7:

[0479] The server analyzes the emotional data obtained by the emotion engine and uses it to evaluate the effectiveness of marketing and promotional activities. This data is useful for designing future campaigns.

[0480] (Example 2)

[0481] Next, we will describe Example 2. 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."

[0482] Conventional systems for applying preferential treatment information uniformly without considering the emotional state of users, which has the problem of failing to maximize individual purchasing intent and satisfaction. Therefore, there is a need for a system that can select the most appropriate preferential treatment information for each individual, taking into account their emotional state.

[0483] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0484] In this invention, the server includes means for storing preferential information acquired via communication means in a storage unit, means for detecting user transaction information, and means for evaluating the user's emotional state using emotion analysis means. This makes it possible to select the most suitable preferential information based on the user's emotional state and transaction information and automatically apply it to the relevant transaction.

[0485] "Communication means" refers to equipment or methods for exchanging information, including sending and receiving data via a network.

[0486] "Special offer information" refers to information intended to improve transaction conditions for users, and specifically includes information such as discounts and benefits.

[0487] A "storage unit" is a device or component for storing data, and is equipped with the function of retaining specific information for a long period of time.

[0488] "User" refers to an individual or legal entity that uses the system to trade goods or services.

[0489] "Transaction information" refers to detailed information generated when a user purchases goods or services, including product name, quantity, price, etc.

[0490] "Emotional analysis means" refers to a device or method for evaluating a user's emotional state, which determines the user's internal state based on data such as facial expressions and voice.

[0491] "Emotional state" refers to the internal emotional state that a user exhibits during a transaction, and can represent specific emotions such as joy or excitement.

[0492] "Means of selection" refers to a function or method of choosing the option that best matches specific conditions from among multiple choices.

[0493] This invention realizes a system that applies optimal preferential information to users based on their emotional state. This system mainly consists of a server, a terminal, communication means, and emotion analysis means.

[0494] The server acquires preferential treatment information from various platforms via communication methods and stores it in its memory. This preferential treatment information is applicable to the user's transactions and is regularly updated to ensure that the latest information is kept in the database. The terminal collects detailed information when the user conducts a transaction, analyzes facial expressions and voice data using built-in emotion analysis tools, and evaluates the user's emotional state in real time.

[0495] If the user's emotion is determined to be "joy," the server uses that information to select the most appropriate promotional offer from its memory and sends it to the terminal. For example, when a user purchases an item from an online store, if the emotion analysis system detects high satisfaction from their tone of voice and facial expression, the server immediately displays promotional information on the terminal offering an additional discount. In this way, a personalized shopping experience is provided, increasing user satisfaction.

[0496] Furthermore, this system utilizes a generative AI model and prompt statements to select the appropriate discount. An example of a prompt statement is, "Please tell me the necessary steps to develop a system that provides the optimal coupon based on the user's emotional state." Through this prompt, the AI ​​supports the process from analyzing emotional data to applying discounts, enabling a more highly personalized service.

[0497] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0498] Step 1:

[0499] The server collects discount information from external platforms using communication methods. This acquired discount information is stored in a database. The input is the newly acquired discount information, and the output is the discount information stored in the memory. Specifically, the operation involves retrieving information via an API and writing it to the database.

[0500] Step 2:

[0501] The terminal collects transaction information when a user attempts to purchase goods or services. This information includes product ID, price, and quantity. The input is transaction information provided by the user, and the output is detailed transaction data. Specifically, the application captures data when a transaction begins and sends it to the server.

[0502] Step 3:

[0503] The emotion analysis system built into the device analyzes the user's facial expressions and voice in real time to evaluate their emotional state. The input is the user's voice and video data, and the output is the analyzed emotional state (e.g., joy, excitement). Specifically, the camera and microphone capture the user's voice and face, and then the data is fed into the analysis algorithm.

[0504] Step 4:

[0505] The server receives transaction information and sentiment status from the terminal and selects the most suitable perk information from the database. The input is the user's transaction information and sentiment status, and the output is the selected perk information. A database query is then executed, and an algorithm is applied to extract perks with a high degree of relevance.

[0506] Step 5:

[0507] The server sends the selected discount information to the terminal. The terminal receives this information and displays the final price and discount details to the user. The input is the selected discount information, and the output is the price information after the discount is applied, which is presented to the user. Specifically, the calculation results are updated and displayed in real time on the terminal's display.

[0508] Step 6:

[0509] The user confirms the offered discounted price and completes the carrier payment. The input is the price after the discount is applied and payment information, and the output is a record of the completed transaction. Specifically, when the user presses the confirmation button, the payment process is initiated and the result is recorded on the server.

[0510] (Application Example 2)

[0511] Next, we will explain application example 2. In the following explanation, 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."

[0512] Traditional carrier billing systems have a problem in that they do not automatically apply optimal coupons or price reduction information based on the user's emotions, and therefore do not provide a sufficiently personalized purchasing experience. Furthermore, there is a lack of systems that analyze the emotional state of users and recommend the most appropriate promotions accordingly, which has resulted in companies' marketing effectiveness not being sufficiently improved.

[0513] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0514] In this invention, the server includes means for storing price reduction information acquired by communication equipment in a storage means, means for detecting the user's payment information, and means for recognizing the user's emotional state. This makes it possible to automatically select and apply the optimal price reduction information based on the user's payment information and emotional state.

[0515] "Communication equipment" refers to devices used for sending and receiving data, and is responsible for acquiring information such as coupons and price reduction information.

[0516] A "memory device" is a device or function for holding acquired data or information, and it stores information and makes it available for reuse.

[0517] "User payment information" refers to information related to a transaction made by a user when purchasing goods or services, and typically includes the amount, product name, and date and time of purchase.

[0518] "User's emotional state" refers to the psychological reactions a user exhibits during a transaction, and is analyzed based on information obtained through facial expressions, voice, and other means.

[0519] "Price reduction information" refers to information that offers discounts on the regular price of goods or services, and is applied to users as coupons or discounts.

[0520] "Automatically selecting and applying" refers to the act of a system independently determining the optimal option without requiring user intervention and immediately reflecting it in the transaction.

[0521] The server first obtains price reduction information from various platforms via communication devices and stores it in a memory device. This information is later used in conjunction with the user's transactions. Next, when the user's smartphone or similar device is activated and used, the user's emotional state is captured by the camera and microphone installed in the device. The emotion engine analyzes this emotional state from facial expressions and voice.

[0522] Based on this emotional state data and transaction information, the server determines which price reduction information is most suitable for the user. This determination includes a process that considers the user's psychological response using emotion recognition technology to select the optimal coupon. The selected price reduction information is immediately applied to the transaction information and displayed on the user's terminal.

[0523] In operating this system, Edge devices use an emotion engine and OpenCV to analyze user behavior with high sensitivity. As part of a marketing strategy, it is possible to improve user satisfaction and provide a customer experience based on that satisfaction. A concrete example is when a user dining at a restaurant uses their smartphone and the system detects a smile indicating happiness, resulting in the user receiving a coupon for a free dessert.

[0524] An example of a prompt to a generative AI model is, in response to "User emotion data: Happy," "Select the best coupon for a user with a happy emotion and present an offer for a free dessert." This demonstrates how the model can generate optimal suggestions based on the user's emotions.

[0525] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0526] Step 1:

[0527] The server acquires price reduction information from various platforms via communication devices. Inputs are information from online databases and coupon distribution platforms, and this information is stored in the database. The output of this step is that the newly acquired coupon information is saved to the server's storage device.

[0528] Step 2:

[0529] The device acquires the user's facial expressions and voice information through its camera and microphone. The input consists of the user's facial image and voice, which are provided to the emotion engine for real-time analysis of their emotional state. The output is data indicating the specific emotional state the user is exhibiting (e.g., joy or excitement).

[0530] Step 3:

[0531] The server selects the optimal price reduction information based on sentiment data and transaction information sent from the terminal. The input consists of sentiment data and user transaction information, and a sentiment recognition algorithm is used to perform data calculations to identify coupons that match the sentiment. The output is the optimal coupon related to the user's transaction.

[0532] Step 4:

[0533] The terminal receives price reduction information selected from the server and applies it to the user's transaction. The input is the optimal coupon information sent from the server, and this information is reflected on the transaction screen. The output is the final price information after the discount displayed on the user's screen.

[0534] Step 5:

[0535] The user reviews the best coupon offered and proceeds with carrier billing as they are satisfied with the transaction. The input is the price information displayed on the device, and the user then proceeds with the actual purchase process. The output is a successful purchase transaction.

[0536] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0537] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0538] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0539] [Fourth Embodiment]

[0540] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0541] As shown in Figure 7, the 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.

[0542] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0543] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0544] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0545] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0546] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0547] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0548] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0549] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0550] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0551] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0552] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0553] The present invention aims to automatically apply the most suitable coupons and discounts to consumers through carrier billing when they make everyday purchases or use services. This system integrates the user's transaction information with coupon information collected from various platforms and provides the user with the most advantageous conditions in real time.

[0554] The entire system consists of servers, terminals, and communication devices. The server is responsible for acquiring coupon information and storing it in a database. Terminals acquire user transaction information and provide necessary information by querying the server. When a user makes a purchase, the server selects and applies the appropriate coupon based on the stored information. This process runs in the background without the user being particularly aware of it. Furthermore, if membership registration is required, the terminal automates the procedure based on the user's information.

[0555] For example, when a user proceeds with a purchase at an online store, the terminal sends basic transaction information to the server. Based on this information, the server refers to accumulated coupon data and selects the most suitable coupon. After the coupon is applied, the discounted price is displayed on the terminal, and the user proceeds with the payment. Points corresponding to the purchase are also automatically calculated and awarded to the user's designated points service. Through this entire process, users can enjoy the maximum benefits without any hassle. This system also enables companies to analyze consumer purchasing behavior data and supports the implementation of targeted promotions.

[0556] The following describes the processing flow.

[0557] Step 1:

[0558] The server periodically retrieves the latest coupon information from the APIs of various partner companies and platforms. The retrieved information is stored in a database on the server.

[0559] Step 2:

[0560] The terminal retrieves transaction information for goods and services purchased by the user and sends it to the server. This transaction information includes details such as product name, quantity, and price.

[0561] Step 3:

[0562] Based on the transaction information received by the server, it searches the database for relevant coupon information and selects the most advantageous coupon.

[0563] Step 4:

[0564] The server sends the selected coupon information back to the terminal and calculates the price after the discount is applied.

[0565] Step 5:

[0566] The device displays the discounted price to the user, and the user selects carrier billing to complete the payment.

[0567] Step 6:

[0568] The server calculates points based on the purchase details and awards them to the points service specified by the user.

[0569] Step 7:

[0570] The server generates and sends analytical reports to client companies based on user purchase information. This allows companies to better understand consumer purchasing behavior and develop more effective marketing strategies.

[0571] (Example 1)

[0572] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0573] For consumers to automatically select and apply the best price discounts when conducting commercial transactions, there is a challenge in that it requires manually scrutinizing a large amount of discount information and processing accordingly, which is time-consuming and laborious. Furthermore, users are burdened with having to enter information each time they receive benefits or register as a member.

[0574] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0575] In this invention, the server includes means for storing price discount information acquired by a data transmission and reception device in a storage device, means for acquiring the user's commercial transaction information, and means for selecting the optimal price discount information related to the commercial transaction information from the price discount information stored in the storage device. As a result, consumers can automatically obtain the optimal price discount without any effort, enabling a smoother purchasing experience.

[0576] A "data transmission and reception device" is a device that has the function of acquiring information from an external source via a communication network and transferring it to an internal system.

[0577] "Price discount information" refers to information about economic benefits such as discounts, coupons, or promotions that apply to products or services.

[0578] A "storage device" is a device that organizes and stores acquired information and manages it so that it can be quickly accessed as needed.

[0579] "User" refers to an individual or group that purchases or uses goods or services, and is the entity that benefits from the system.

[0580] "Commercial transaction information" refers to purchase data generated when a user purchases goods or services, such as product name, price, quantity, and date and time of purchase.

[0581] "Means for selecting price discount information" refers to a method that has the function of finding the price discount that is most suitable for the user's business transaction information from among a large amount of stored price discount information.

[0582] A "reward provision service" is a service that manages and provides points and other benefits awarded to users based on commercial transactions.

[0583] To realize this invention, it is necessary to build an integrated system involving a server and terminals. The server will utilize data transmission and reception devices to obtain price discount information from external partner platforms and data providers. Specifically, the software will use Python scripts to access APIs, analyze the data, extract the necessary information, and store it in storage. Database management systems such as MongoDB and MySQL will be used for this purpose.

[0584] The terminal is responsible for actually acquiring the user's transaction information and providing an interface to facilitate the payment process. This interface is built using front-end frameworks such as React and Vue.js, and is designed to allow users to use the system seamlessly. Information is sent and received securely using the HTTPS protocol.

[0585] Through this system, users can unconsciously enjoy the most advantageous price benefits. For example, when a user attempts to purchase an item from an online store, transaction information is automatically collected, and the best price benefits are applied. As a result, users can purchase items at a discounted price, and at the same time, benefits through a points service are automatically granted.

[0586] As a concrete example, the following prompt is input to the generating AI model:

[0587] "Please provide the following details of your online store purchase: Product ID: 12345, Price: 5000 yen, Purchase Date: October 21, 2023. Please search for any applicable coupons for this transaction and provide the discounted price."

[0588] This entire process allows users to enjoy maximum benefits without any hassle, and enables companies to efficiently implement promotions that leverage consumer purchasing trends.

[0589] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0590] Step 1:

[0591] The server obtains price discount information as input through external data sources and partner company interfaces. This input data is received as an API request. The server parses this data, specifically using Python to break down the JSON format data, extract the necessary coupon information, and store it in the database. During this process, information such as coupon type, application conditions, and expiration date is organized and processed for storage in the database.

[0592] Step 2:

[0593] The terminal collects transaction information as input when a user begins the purchase process at an online store. This transaction information includes product ID, price, quantity, and purchase date and time. Specifically, data is automatically collected by front-end JavaScript when the user clicks the "Confirm Purchase" button. This input data is sent to the server via the HTTPS protocol. The terminal's role is to accurately transmit the collected data to the server.

[0594] Step 3:

[0595] The server uses the received transaction information as input and compares it with the price discount information database stored in its memory. At this stage, it executes SQL queries to search for applicable discounts. The server selects the most suitable discount, calculates the applicable discounts and coupon information, and generates the discounted information as output. This data calculation determines the optimal transaction conditions for the user.

[0596] Step 4:

[0597] The terminal receives transaction information after the discount has been applied, sent from the server, as input and displays it on the user interface as output. Through this information, the user can confirm the final price after the discount has been applied. Specifically, the price on the screen is updated in real time, and a message such as "Discount applied: Total 4000 yen" is displayed. The role of the terminal is to arrange the display so that the user can easily check the information visually.

[0598] Step 5:

[0599] Once the user completes the purchase process, the server calculates the points corresponding to the transaction and sends the result as output to the rewards service provider. Specifically, the points are credited to the user's account via the points management API. After all transactions are completed, the user's point balance is updated and the points become available for use in the next transaction.

[0600] Through this series of steps, users can seamlessly receive optimal benefits and earn points, resulting in a more fulfilling shopping experience.

[0601] (Application Example 1)

[0602] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0603] A challenge is ensuring that consumers can easily access the best discounts and coupons when shopping or using services. The lack of such automated systems forces consumers to manually search for and enter coupons, which is inconvenient. Furthermore, the difficulty in easily verifying discount amounts after use also detracts from the consumer experience. Additionally, the lack of automatic point and reward accrual features often requires consumers to go through additional procedures.

[0604] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0605] In this invention, the server includes means for storing discount information acquired by a communication device in a storage unit, means for detecting user transaction data, means for selecting the optimal discount information related to the transaction data from the discount information stored in the storage unit, means for automatically applying the selected discount information to the transaction, and means for displaying the discounted amount on the user interface after the transaction is completed. As a result, consumers can receive the most advantageous discounts in real time without any effort, and the overall purchasing experience can be improved through the automatic awarding of rewards and points.

[0606] A "communication device" is a device for sending and receiving data, and in this invention, it plays the role of acquiring discount information.

[0607] "Discount information" refers to information about discounts and coupons that apply to goods or services under specific conditions, and is intended to allow consumers to gain economic benefits in transactions.

[0608] A "storage unit" is a device or system for temporarily or long-term storage of data, and in this invention, it is used to store discount information.

[0609] "Users" refers to consumers who purchase or use goods or services, and are the subject of this invention.

[0610] "Transaction data" refers to data generated when consumers purchase goods or services, and includes information such as the type of product, price, and quantity.

[0611] "Means of selection" refers to methods or algorithms for selecting the most suitable discount information from data stored in the memory unit based on specific conditions.

[0612] "Means of application" refers to the processes and technologies used to automatically incorporate selected discount information into actual transactions.

[0613] A "user interface" is a means of input and output for a user to operate or instruct a system, and is used to display the discounted price.

[0614] "Rewards" refer to economic benefits such as points or cashback that are given to consumers based on a transaction.

[0615] A "reward service" is a system or platform for managing, awarding, and utilizing rewards such as points and cashback.

[0616] This invention provides a system that allows consumers to automatically enjoy optimal discounts through their daily purchasing activities. Specific embodiments thereof are described below.

[0617] The server collects data via communication devices to obtain discount information and stores it in a memory unit. This memory unit is configured using a large-scale database system (e.g., Amazon DynamoDB), where discount and coupon information is constantly updated and stored.

[0618] The device detects transaction data generated when a user purchases goods or services and sends that data to a server. This process is carried out via a smartphone application (e.g., an app developed with React Native) and requires minimal user interaction.

[0619] Based on the received transaction data, the server selects the best discount information from the discount information stored in its memory. The selected discount is applied to the terminal, and the discounted price is displayed on the user interface. The terminal also automatically calculates the reward based on the transaction and grants the reward to the reward service specified by the user.

[0620] As a concrete example, consider a scenario where a user tries to purchase clothing from an online store. The user opens a smartphone app and adds items to their shopping cart, at which point transaction data is automatically sent to the server. The server retrieves relevant coupon information from its database and automatically selects the appropriate discount to apply. Once the transaction is complete, the final payment amount is displayed in the app, and points that can be used for future purchases are awarded.

[0621] An example of a prompt to input into a generative AI model might be: "I want an app that automatically selects coupons that users can use while online shopping. Please design an app that applies the best discount based on transaction information. Please suggest ways to prioritize UX and keep the operation simple." This prompt forms the foundation of the AI ​​model that delivers the user experience they desire.

[0622] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0623] Step 1:

[0624] When a user purchases a product, the device acquires transaction data. This transaction data includes information such as the product, quantity, and price. The device packages this data into packets and sends them to the server. This process builds the background information of the transaction.

[0625] Step 2:

[0626] The server analyzes the transaction data received from the terminal. Using its database system, the server queries for the most suitable discount information that matches the transaction data. Data comparison calculations are performed, and the relevant discount conditions are extracted. The server's output is the optimal discount information.

[0627] Step 3:

[0628] The server sends the selected discount information back to the terminal. The terminal applies the received discount information to the transaction and calculates the discounted price. This is done using a simple subtraction operation, and the calculation result is displayed on the user interface.

[0629] Step 4:

[0630] After a transaction is completed, the terminal calculates the reward for that transaction. The reward calculation includes a percentage calculation based on the transaction amount. The calculated reward is automatically credited to the reward service specified by the user.

[0631] Step 5:

[0632] After completing a transaction, users can view the discounted amount and awarded reward points on the user interface on their device. This allows them to understand the transaction details and associated benefits in real time.

[0633] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0634] This invention provides a system that optimizes coupon application when consumers purchase goods or services using carrier billing by combining it with an emotion engine. This system detects the user's emotional state at the time, in addition to the user's transaction information, and selects the most appropriate coupon based on the acquired data.

[0635] The system consists of a server, terminals, communication devices, and an emotion engine. First, the server retrieves coupon information from various platforms via the communication devices and stores it in a database. The terminals collect detailed information when users make transactions, and the emotion engine analyzes the user's emotional state from their facial expressions and voice. For example, if the system detects that the user is excited or satisfied, it can then use the retrieved coupon information to present specific promotions based on that emotion.

[0636] In this way, the server selects and applies the most suitable coupon based on the user information and emotional state it receives. The discounted price is displayed on the terminal, and the user can proceed with carrier billing as usual. Furthermore, the emotional data obtained during the transaction can be used to analyze the effectiveness of marketing efforts.

[0637] For example, if the emotion engine detects joy from a user's tone of voice or facial expression while they are purchasing an item online, the server will present them with a surprise discount coupon or gift information. This can improve user satisfaction and provide a more emotionally resonant shopping experience. This system offers consumers a more personalized sense of value and provides businesses with a more effective promotional tool.

[0638] The following describes the processing flow.

[0639] Step 1:

[0640] The server periodically retrieves coupon information from APIs of various platforms and companies and stores this information in a database. This ensures that the latest and most diverse discount information is always available.

[0641] Step 2:

[0642] The user initiates a purchase online or in a physical store using a device. Transaction details, such as product name and quantity, are entered into the device.

[0643] Step 3:

[0644] An emotion engine built into the device analyzes the user's facial expressions and voice tone to identify their current emotional state. This emotional state is then categorized into specific emotional categories such as "joy," "surprise," and "dissatisfaction."

[0645] Step 4:

[0646] The device sends transaction information and detected sentiment information to the server. This allows the server to gain a deeper understanding of the user's purchasing experience.

[0647] Step 5:

[0648] The server compares coupon information stored in the database with information submitted by the user. It selects the most appropriate coupon based on the user's emotional state and applies it to the transaction.

[0649] Step 6:

[0650] The server calculates the discounted price after applying the selected coupon and sends the details to the user's device. The user confirms the discount on their device and completes the payment via carrier billing.

[0651] Step 7:

[0652] The server analyzes the emotional data obtained by the emotion engine and uses it to evaluate the effectiveness of marketing and promotional activities. This data is useful for designing future campaigns.

[0653] (Example 2)

[0654] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0655] Conventional systems for applying preferential treatment information uniformly without considering the emotional state of users, which has the problem of failing to maximize individual purchasing intent and satisfaction. Therefore, there is a need for a system that can select the most appropriate preferential treatment information for each individual, taking into account their emotional state.

[0656] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0657] In this invention, the server includes means for storing preferential information acquired via communication means in a storage unit, means for detecting user transaction information, and means for evaluating the user's emotional state using emotion analysis means. This makes it possible to select the most suitable preferential information based on the user's emotional state and transaction information and automatically apply it to the relevant transaction.

[0658] "Communication means" refers to equipment or methods for exchanging information, including sending and receiving data via a network.

[0659] "Special offer information" refers to information intended to improve transaction conditions for users, and specifically includes information such as discounts and benefits.

[0660] A "storage unit" is a device or component for storing data, and is equipped with the function of retaining specific information for a long period of time.

[0661] "User" refers to an individual or legal entity that uses the system to trade goods or services.

[0662] "Transaction information" refers to detailed information generated when a user purchases goods or services, including product name, quantity, price, etc.

[0663] "Emotional analysis means" refers to a device or method for evaluating a user's emotional state, which determines the user's internal state based on data such as facial expressions and voice.

[0664] "Emotional state" refers to the internal emotional state that a user exhibits during a transaction, and can represent specific emotions such as joy or excitement.

[0665] "Means of selection" refers to a function or method of choosing the option that best matches specific conditions from among multiple choices.

[0666] This invention realizes a system that applies optimal preferential information to users based on their emotional state. This system mainly consists of a server, a terminal, communication means, and emotion analysis means.

[0667] The server acquires preferential treatment information from various platforms via communication methods and stores it in its memory. This preferential treatment information is applicable to the user's transactions and is regularly updated to ensure that the latest information is kept in the database. The terminal collects detailed information when the user conducts a transaction, analyzes facial expressions and voice data using built-in emotion analysis tools, and evaluates the user's emotional state in real time.

[0668] If the user's emotion is determined to be "joy," the server uses that information to select the most appropriate promotional offer from its memory and sends it to the terminal. For example, when a user purchases an item from an online store, if the emotion analysis system detects high satisfaction from their tone of voice and facial expression, the server immediately displays promotional information on the terminal offering an additional discount. In this way, a personalized shopping experience is provided, increasing user satisfaction.

[0669] Furthermore, this system utilizes a generative AI model and prompt statements to select the appropriate discount. An example of a prompt statement is, "Please tell me the necessary steps to develop a system that provides the optimal coupon based on the user's emotional state." Through this prompt, the AI ​​supports the process from analyzing emotional data to applying discounts, enabling a more highly personalized service.

[0670] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0671] Step 1:

[0672] The server collects discount information from external platforms using communication methods. This acquired discount information is stored in a database. The input is the newly acquired discount information, and the output is the discount information stored in the memory. Specifically, the operation involves retrieving information via an API and writing it to the database.

[0673] Step 2:

[0674] The terminal collects transaction information when a user attempts to purchase goods or services. This information includes product ID, price, and quantity. The input is transaction information provided by the user, and the output is detailed transaction data. Specifically, the application captures data when a transaction begins and sends it to the server.

[0675] Step 3:

[0676] The emotion analysis system built into the device analyzes the user's facial expressions and voice in real time to evaluate their emotional state. The input is the user's voice and video data, and the output is the analyzed emotional state (e.g., joy, excitement). Specifically, the camera and microphone capture the user's voice and face, and then the data is fed into the analysis algorithm.

[0677] Step 4:

[0678] The server receives transaction information and sentiment status from the terminal and selects the most suitable perk information from the database. The input is the user's transaction information and sentiment status, and the output is the selected perk information. A database query is then executed, and an algorithm is applied to extract perks with a high degree of relevance.

[0679] Step 5:

[0680] The server sends the selected discount information to the terminal. The terminal receives this information and displays the final price and discount details to the user. The input is the selected discount information, and the output is the price information after the discount is applied, which is presented to the user. Specifically, the calculation results are updated and displayed in real time on the terminal's display.

[0681] Step 6:

[0682] The user confirms the offered discounted price and completes the carrier payment. The input is the price after the discount is applied and payment information, and the output is a record of the completed transaction. Specifically, when the user presses the confirmation button, the payment process is initiated and the result is recorded on the server.

[0683] (Application Example 2)

[0684] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0685] Traditional carrier billing systems have a problem in that they do not automatically apply optimal coupons or price reduction information based on the user's emotions, and therefore do not provide a sufficiently personalized purchasing experience. Furthermore, there is a lack of systems that analyze the emotional state of users and recommend the most appropriate promotions accordingly, which has resulted in companies' marketing effectiveness not being sufficiently improved.

[0686] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0687] In this invention, the server includes means for storing price reduction information acquired by communication equipment in a storage means, means for detecting the user's payment information, and means for recognizing the user's emotional state. This makes it possible to automatically select and apply the optimal price reduction information based on the user's payment information and emotional state.

[0688] "Communication equipment" refers to devices used for sending and receiving data, and is responsible for acquiring information such as coupons and price reduction information.

[0689] A "memory device" is a device or function for holding acquired data or information, and it stores information and makes it available for reuse.

[0690] "User payment information" refers to information related to a transaction made by a user when purchasing goods or services, and typically includes the amount, product name, and date and time of purchase.

[0691] "User's emotional state" refers to the psychological reactions a user exhibits during a transaction, and is analyzed based on information obtained through facial expressions, voice, and other means.

[0692] "Price reduction information" refers to information that offers discounts on the regular price of goods or services, and is applied to users as coupons or discounts.

[0693] "Automatically selecting and applying" refers to the act of a system independently determining the optimal option without requiring user intervention and immediately reflecting it in the transaction.

[0694] The server first obtains price reduction information from various platforms via communication devices and stores it in a memory device. This information is later used in conjunction with the user's transactions. Next, when the user's smartphone or similar device is activated and used, the user's emotional state is captured by the camera and microphone installed in the device. The emotion engine analyzes this emotional state from facial expressions and voice.

[0695] Based on this emotional state data and transaction information, the server determines which price reduction information is most suitable for the user. This determination includes a process that considers the user's psychological response using emotion recognition technology to select the optimal coupon. The selected price reduction information is immediately applied to the transaction information and displayed on the user's terminal.

[0696] In operating this system, Edge devices use an emotion engine and OpenCV to analyze user behavior with high sensitivity. As part of a marketing strategy, it is possible to improve user satisfaction and provide a customer experience based on that satisfaction. A concrete example is when a user dining at a restaurant uses their smartphone and the system detects a smile indicating happiness, resulting in the user receiving a coupon for a free dessert.

[0697] An example of a prompt to a generative AI model is, in response to "User emotion data: Happy," "Select the most suitable coupon for a user with a happy emotion and present an offer for a free dessert." This demonstrates how the model can generate optimal suggestions based on the user's emotions.

[0698] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0699] Step 1:

[0700] The server acquires price reduction information from various platforms via communication devices. Inputs are information from online databases and coupon distribution platforms, and this information is stored in the database. The output of this step is that the newly acquired coupon information is saved to the server's storage device.

[0701] Step 2:

[0702] The device acquires the user's facial expressions and voice information through its camera and microphone. The input consists of the user's facial image and voice, which are provided to the emotion engine for real-time analysis of their emotional state. The output is data indicating the specific emotional state the user is exhibiting (e.g., joy or excitement).

[0703] Step 3:

[0704] The server selects the optimal price reduction information based on sentiment data and transaction information sent from the terminal. The input consists of sentiment data and user transaction information, and a sentiment recognition algorithm is used to perform data calculations to identify coupons that match the sentiment. The output is the optimal coupon related to the user's transaction.

[0705] Step 4:

[0706] The terminal receives price reduction information selected from the server and applies it to the user's transaction. The input is the optimal coupon information sent from the server, and this information is reflected on the transaction screen. The output is the final price information after the discount displayed on the user's screen.

[0707] Step 5:

[0708] The user reviews the best coupon offered and proceeds with carrier billing as they are satisfied with the transaction. The input is the price information displayed on the device, and the user then proceeds with the actual purchase process. The output is a successful purchase transaction.

[0709] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0710] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0711] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0712] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0713] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0714] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0715] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0716] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0717] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0718] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0719] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0720] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0721] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0722] 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.

[0723] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0724] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0725] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0726] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0727] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0728] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0729] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0730] The following is further disclosed regarding the embodiments described above.

[0731] (Claim 1)

[0732] A means for storing coupon information acquired by a communication device in a storage unit,

[0733] A means for detecting user transaction information,

[0734] A means for selecting the most appropriate coupon information related to the transaction information from the coupon information stored in the memory unit,

[0735] A means to automatically apply the selected coupon information to the relevant transaction,

[0736] A system that includes this.

[0737] (Claim 2)

[0738] The system according to claim 1, which automatically performs registration procedures based on the user's personal information.

[0739] (Claim 3)

[0740] The system according to claim 1, which calculates points based on a transaction and grants those points to a point service designated by the user.

[0741] "Example 1"

[0742] (Claim 1)

[0743] A means for storing price discount information acquired by a data transmission / reception device in a storage device,

[0744] Means for obtaining users' commercial transaction information,

[0745] A means for selecting the most appropriate price discount information related to the commercial transaction information from the price discount information stored in the storage device,

[0746] A means of automatically utilizing selected price discount information in the relevant commercial transaction,

[0747] A means for displaying the price discount results on the user's device,

[0748] A system that includes this.

[0749] (Claim 2)

[0750] The system according to claim 1, which automatically performs a member registration procedure using user identification information.

[0751] (Claim 3)

[0752] The system according to claim 1, which calculates benefits based on commercial transactions and grants said benefits to a benefit-providing service designated by the user.

[0753] "Application Example 1"

[0754] (Claim 1)

[0755] A means for storing discount information acquired by a communication device in a memory unit,

[0756] A means of detecting user transaction data,

[0757] A means for selecting the optimal discount information related to the transaction data from the discount information stored in the memory unit,

[0758] A means to automatically apply the selected discount information to the relevant transaction,

[0759] A means to display the discounted amount on the user interface after the transaction is completed,

[0760] A system that includes this.

[0761] (Claim 2)

[0762] The system according to claim 1, which automatically performs registration procedures based on the user's personal data.

[0763] (Claim 3)

[0764] The system according to claim 1, which calculates a reward based on a transaction and grants the reward to a reward service designated by the user.

[0765] "Example 2 of combining an emotion engine"

[0766] (Claim 1)

[0767] A means for storing preferential information obtained via communication means in a memory unit,

[0768] A means for detecting user transaction information,

[0769] A means for evaluating the emotional state of a user using emotion analysis tools,

[0770] A means for selecting the most suitable preferential treatment information from a memory unit based on the evaluated emotional state and transaction information,

[0771] A means to automatically apply the selected preferential information to the relevant transaction,

[0772] A system that includes this.

[0773] (Claim 2)

[0774] The system according to claim 1, which automatically performs registration procedures based on the individual user information.

[0775] (Claim 3)

[0776] The system according to claim 1, which calculates a benefit based on a transaction and grants the benefit to a service specified by the user.

[0777] "Application example 2 when combining with an emotional engine"

[0778] (Claim 1)

[0779] A means for storing price reduction information acquired by communication equipment in a storage means,

[0780] A means of detecting the user's payment information,

[0781] Means for recognizing the emotional state of the user,

[0782] A means for selecting the optimal price reduction information related to the settlement information and emotional state from the price reduction information stored in the memory means,

[0783] A means of automatically applying the selected price reduction information to the relevant payment,

[0784] A system that includes this.

[0785] (Claim 2)

[0786] The system according to claim 1, which automatically performs registration procedures based on the individual user information.

[0787] (Claim 3)

[0788] The system according to claim 1, which calculates benefits based on payment and grants said benefits to a benefit service specified by the user. [Explanation of Symbols]

[0789] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for storing coupon information acquired by a communication device in a storage unit, A means for detecting user transaction information, A means for selecting the most appropriate coupon information related to the transaction information from the coupon information stored in the memory unit, A means to automatically apply the selected coupon information to the relevant transaction, A system that includes this.

2. The system according to claim 1, which automatically performs registration procedures based on the user's personal information.

3. The system according to claim 1, which calculates points based on a transaction and grants those points to a point service designated by the user.

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