system

Abstract

Provide a system. The present invention comprises: a means for providing an interface for a user to input product information; means for the terminal to transmit the product information to a server; A server receives the product information and extracts necessary data; A means for the server to generate advertising copy using an AI module; means for the server to analyze the target audience of the advertisement; A means for the server to propose and manage optimal advertising media; a means for the server to monitor the effectiveness of the advertisements and provide reports; A system including:

Description

[Technical Field]

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

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

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

[0004] Traditional online advertising requires stores to write their own ad copy, select the appropriate target audience, and choose the most suitable advertising media, which requires a lot of time and expertise. This places a heavy burden on small stores in particular, making it difficult to carry out effective marketing activities. Furthermore, the task of monitoring the effectiveness of advertising in real time and making continuous improvements is also cumbersome. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides the following means: A system including a means for providing an interface for a user to input product information, a means for a terminal to transmit the product information to a server, a means for the server to receive the product information and extract necessary data, a means for the server to generate advertising copy using an AI module, a means for the server to analyze the target audience of the advertisement, a means for the server to propose and manage optimal advertising media, and a means for the server to monitor the effectiveness of the advertisement and provide a report. The system also includes a means for the AI ​​module to generate multiple advertising copy candidates based on product information and select the optimal advertising copy, and a means for the server to analyze the target audience using past advertising data and market trend data, thereby enabling stores to effectively create and distribute web advertisements.

[0006] An "interface" is a means for providing a screen or form for a user to input product information.

[0007] A "terminal" is a device such as a computer or smartphone that allows a user to input product information and send it to a server.

[0008] "Product information" refers to detailed information about the products and services sold by a store, such as the name, price, features, and target audience.

[0009] The "server" is a central control system that receives product information, generates advertising copy through an AI module, analyzes target audiences, and manages advertising media.

[0010] The "AI module" is an artificial intelligence program that resides on the server and automatically generates advertising copy based on the received product information.

[0011] "Advertising copy" is text generated by an AI module to convey the appeal of a product or service.

[0012] A "target audience" is a specific group of consumers to whom advertising should be directed, identified based on attributes such as age, gender, region, and interests.

[0013] An "advertising medium" is a platform for posting and distributing the generated advertising copy, and includes, for example, Google (registered trademark) Ads, Facebook Ads, Instagram Ads, etc.

[0014] "Monitoring" is the process of monitoring the effectiveness of advertising in real time and collecting data such as click rates and conversion rates.

[0015] A "report" is a report that compiles collected advertising performance data and provides it to users. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9]1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: users input product information, an AI module automatically generates advertisement copy based on that information, and the AI ​​module proposes and manages optimal target audiences and advertisement media.

[0038] Program processing explanation

[0039] 1. Enter store information

[0040] Users access a dedicated input form using their own device (e.g., PC or smartphone), which has fields for entering product name, price, features, and target audience information (e.g., young women, office workers, etc.).

[0041] 2. Data Transmission

[0042] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol, along with metadata such as the store ID and product ID.

[0043] 3. Receiving and extracting data

[0044] The server deserializes the JSON data sent from the terminal and extracts the necessary fields (product name, price, features, etc.).

[0045] 4. Automatically generate ad copy

[0046] The server passes the extracted data to an AI module, which generates multiple ad copy candidates based on the product information, such as "New handmade silver necklace, available at a special price!"

[0047] The AI ​​module selects the best ad copy from the generated ones and saves it in the database as the final ad copy.

[0048] 5. Target Audience Analysis

[0049] The server analyzes target audiences using historical advertising data and market trend data, while the AI ​​module identifies optimal targets based on attributes such as age, gender, location, and interests.

[0050] 6. Proposal and management of advertising media

[0051] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads."

[0052] The server sets the advertising schedule and budget based on the proposal and automatically distributes the advertisements.

[0053] 7. Monitoring advertising effectiveness and providing reports

[0054] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time.

[0055] Users can view ad performance reports on a web dashboard via their device, and the server will use this data to optimize ad settings as needed.

[0056] Specific examples

[0057] The user inputs information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s."

[0058] The device converts this information into JSON format and sends it to the server via HTTPS.

[0059] The server receives the data, extracts fields such as product name, price, and features, and sends them to the AI ​​module.

[0060] The AI ​​module in the server generates the ad copy, "New handmade silver necklace, simple and elegant design at this price!" and selects it as the optimal ad copy.

[0061] The server uses historical and trend data to identify the target audience as "young women in their 20s and 30s."

[0062] The server determines that Instagram Ads and Facebook Ads are best suited to this target and schedules the ads to be delivered automatically.

[0063] The server monitors performance data such as click rates and conversion rates in real time, and users can check advertising performance reports through their devices.

[0064] As described above, the present invention automates the series of processes by which a store effectively creates and distributes web advertisements, thereby reducing the burden on the store.

[0065] The processing flow will be explained below.

[0066] Step 1:

[0067] The user uses their own device (such as a PC or smartphone) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. Once the input is complete, the user presses the "Submit" button.

[0068] Step 2:

[0069] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[0070] Step 3:

[0071] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, etc.) This data is passed to the AI ​​module.

[0072] Step 4:

[0073] The server sends a request to the AI ​​module to generate ad copy based on product information. The AI ​​module generates multiple ad copy candidates and selects the most suitable one from among them. For example, it might generate ad copy such as "New handmade silver necklace. Simple and elegant design at this price!"

[0074] Step 5:

[0075] The server stores the generated ad copy in a database. It also analyzes the target audience using past advertising data and market trend data. The AI ​​module identifies the optimal target demographic by taking into account attributes such as age, gender, region, and interests.

[0076] Step 6:

[0077] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget, and automatically distributes the ads.

[0078] Step 7:

[0079] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time and stores this data in a database.

[0080] Step 8:

[0081] Users access a web dashboard via their device to view ad performance reports, and the server uses the performance data to optimize ad settings as needed.

[0082] This series of steps allows merchants to effectively create and distribute web advertisements.

[0083] Example 1

[0084] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0085] Conventional advertising creation and distribution systems have had the problem that it takes a great deal of time and effort for stores to create effective web advertisements and deliver them to the optimal target audience in a timely manner. As a result, the accuracy of the advertisements is low, and the expected advertising effect is often not achieved. In addition, the distribution to different advertising media and their management are complicated, placing a heavy burden on store operators. The objective of this invention is to solve these problems.

[0086] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0087] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to send the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using a generative AI model, means for the server to analyze the target audience of the advertisement, means for the server to suggest and manage optimal advertising media, and means for the server to monitor the effectiveness of the advertisement and provide reports. This enables stores to effectively create web advertisements and deliver them to the optimal target audience.

[0088] "User" refers to a person who inputs product information and operates the advertisement creation system.

[0089] "Product information" refers to data necessary for creating advertisements, such as product name, price, features, and target audience information.

[0090] The "means for providing an interface" refers to an input device such as a web form or application that allows a user to input product information.

[0091] "Terminal" refers to a device such as a PC or smartphone that a user uses to input product information and send it to a server.

[0092] "Server" refers to a computer system that receives and analyzes product information, generates advertising copy using a generative AI model, manages advertising placement, and monitors and reports on advertising effectiveness.

[0093] A "generative AI model" refers to an artificial intelligence system that generates advertising copy based on product information and selects the most appropriate copy.

[0094] "Means for analyzing advertising target audiences" refers to analytical devices that use past advertising data and market trend data to identify optimal target demographics.

[0095] "Means for proposing and managing advertising media" refers to a device for selecting the most suitable advertising media based on attribute information of the target audience, and for setting and managing the advertising schedule and budget.

[0096] "Means for monitoring the effectiveness of advertisements and providing reports" refers to a device for tracking and analyzing advertisement performance data in real time and providing the results to users.

[0097] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: a user inputs product information, a generative AI model automatically generates advertising copy based on that information, and the system proposes and manages optimal target audiences and advertising media.

[0098] First, the user accesses a dedicated input form using a device such as a PC or smartphone. The user inputs the product name, price, features, and target audience information (e.g., young women, office workers, etc.). For example, the user might input the product name "Handmade Silver Necklace," the price "5,000 yen," the features "Simple and elegant," and the target audience "Women in their 20s and 30s."

[0099] Next, the terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as the store ID and product ID.

[0100] The server receives the JSON data sent from the device, deserializes it, and extracts the necessary fields (product name, price, features, etc.). The extracted product information is passed to a generative AI model. The generative AI model generates multiple ad copy candidates based on the provided product information. For example, an ad copy such as "New handmade silver necklace, available at a special price!" is generated.

[0101] The generative AI model selects the best ad copy from the generated ones, and the server stores that copy in a database. The server then analyzes the target audience using past advertising data and market trend data. The generative AI model identifies the optimal target demographic based on attributes such as age, gender, region, and interests. For example, the server determines that "young women in their 20s and 30s" are the optimal target.

[0102] Next, the server identifies the optimal advertising medium (e.g., Instagram Ads or Facebook Ads) based on the target audience's attribute information. The server sets the advertising schedule and budget based on the recommendations and automatically distributes the ads. For example, it decides to distribute the ads through Instagram Ads and sets a schedule to distribute the ads at 10:00 a.m. every day.

[0103] Finally, the server monitors the ad performance data (click-through rate, conversion rate, etc.) in real time and analyzes the results. Users can view the ad performance report on a web dashboard accessible through their device. Based on this data, the server optimizes the ad settings as needed.

[0104] In this way, the present invention is a system that enables stores to effectively create web advertisements and distribute them to optimal target audiences, thereby improving the accuracy and effectiveness of advertisements. The above is a specific description of the embodiment for carrying out the present invention.

[0105] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0106] Step 1:

[0107] Users access a dedicated input form using a device such as a PC or smartphone. They input the product name, price, features, and target audience information. An example of input could be "Handmade silver necklace, 5,000 yen, simple and elegant, for women in their 20s and 30s." The input data is saved in the device's local storage.

[0108] Input: Product name, price, features, target audience information

[0109] Output: Product information stored in the device's local storage

[0110] Specific behavior: The user enters product information into each field of a web form and clicks the submit button.

[0111] Step 2:

[0112] The device converts the saved product information into JSON format and then sends the data to the server using the HTTPS protocol, including metadata such as the store ID and product ID.

[0113] Input: Product information saved on the device

[0114] Output: JSON data sent to the server

[0115] Specific operation: The terminal encodes the form input data into a JSON-formatted string and sends it to the server as an HTTPS request.

[0116] Step 3:

[0117] The server receives the JSON data sent from the device, deserializes it, extracts the necessary fields (product name, price, features, target audience information), and also extracts the store ID and product ID.

[0118] Input: JSON data sent from the terminal

[0119] Output: Each field of the deserialized product information

[0120] Specific operation: The server parses the JSON data and extracts the values ​​of each field.

[0121] Step 4:

[0122] The server passes the product information to the generative AI model, which generates multiple ad copy candidates based on the provided product information. For example, it might generate a message like, "New handmade silver necklace, simple and elegant design at this price!"

[0123] Input: Extracted product information

[0124] Output: Multiple ad copy candidates generated

[0125] Specific operation: The generative AI model generates advertising copy based on the input data and returns it to the server.

[0126] Step 5:

[0127] The generative AI model selects the best ad copy from the generated copy, and the server stores the selected copy in a database.

[0128] Input: Multiple generated ad copy candidates

[0129] Output: Best ad copy, ad copy stored in database

[0130] How it works: The generative AI model uses an evaluation algorithm to select the best ad copy, and the server stores the ad copy in a database.

[0131] Step 6:

[0132] The server analyzes target audiences using historical advertising data and market trend data, and a generative AI model identifies optimal targets based on attributes such as age, gender, location, and interests.

[0133] Input: Historical advertising data, market trend data

[0134] Output: Identified target audience

[0135] Specific operation: The server retrieves historical advertising data and market trend data from the database and analyzes them using machine learning algorithms.

[0136] Step 7:

[0137] The server identifies the optimal advertising medium based on the target audience's attribute information. The server then sets the advertising schedule and budget based on the proposal and automatically distributes the ads. For example, it decides to distribute ads through "Instagram Ads" and sets a schedule to distribute the ads at 10:00 AM every day.

[0138] Input: Attribute information of the identified target audience

[0139] Output: Ad posting schedule and delivered ads

[0140] Specific operation: The server uses an algorithm to select the optimal advertising medium, automatically set the advertising schedule, and distribute it.

[0141] Step 8:

[0142] The server monitors the performance data of the advertisements (click rates, conversion rates, etc.) in real time and analyzes the results. Users can check the performance report of the advertisements on a web dashboard via their device.

[0143] Input: Real-time ad performance data

[0144] Output: Ad performance report, analysis results

[0145] What it does: The server collects real-time data, uses analytical algorithms to evaluate performance, and displays the results on a web dashboard.

[0146] Through each of the above steps, the system enables stores to create effective web advertisements and deliver them to the optimal target audience.

[0147] (Application example 1)

[0148] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0149] It is complex and time-consuming for merchants to create effective web advertisements and distribute them to the appropriate target audience. It is also not easy to monitor the effectiveness of advertisements in real time and adjust them as needed. In this situation, there is a demand for a system that can efficiently create and distribute advertisements and monitor and manage their effectiveness.

[0150] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0151] In this invention, the server includes means for providing an interface for users to input product information, means for a terminal to transmit the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using an AI module, means for the server to analyze the target audience of the advertisement, means for the server to propose and manage optimal advertising media, means for the server to monitor the effectiveness of the advertisement and provide a report, means for the user to efficiently create advertising copy and manage distribution via a smartphone application, and means for monitoring advertising performance data in real time and analyzing the data. This enables stores to effectively create and distribute web advertisements and monitor and manage their effectiveness in real time.

[0152] "Means for providing an interface for users to input product information" refers to system elements including web forms and input screens within applications that allow stores and individuals to input detailed product information.

[0153] The "means for the terminal to transmit the product information to the server" refers to a system function including a protocol and a communication module for transmitting the product information input by the user to the server via a network.

[0154] "Means for the server to receive the product information and extract the necessary data" refers to the processing function within the server to receive the transmitted product information and analyze and extract the necessary fields (product name, price, features, etc.).

[0155] The "means by which the server generates advertising copy using an AI module" refers to an element of a system that uses AI technology to automatically generate advertising copy based on product information.

[0156] The "means by which the server analyzes the target audience for the advertisement" refers to a function that includes analytical algorithms for identifying the optimal target demographic based on historical data and market trends.

[0157] "Means for the server to propose and manage the optimal advertising media" refers to the system's function for proposing and managing the most effective advertising platforms (e.g., social media, search engines, etc.) for a specified target demographic.

[0158] "Means for the server to monitor the effectiveness of advertisements and provide reports" refers to the system's function of collecting and analyzing performance data of delivered advertisements in real time and providing the results to users in the form of reports.

[0159] "A means for users to efficiently create advertising copy and manage distribution using a smartphone application" refers to the functionality of a dedicated application that allows users to efficiently create advertising copy and manage distribution schedules on their smartphones.

[0160] "Means for monitoring advertising performance data in real time and analyzing the data" refers to a system function that monitors performance data such as click rates and conversion rates in real time after an advertisement is delivered and analyzes that data.

[0161] This invention relates to a system that helps stores create and distribute effective web advertisements. Users input product information through a smartphone application, and an AI module automatically generates advertising copy based on that information, and the system includes a series of processes that suggest and manage optimal target audiences and advertising media. Specific embodiments for implementing this invention are described in detail below.

[0162] Hardware and software used

[0163] 1. Smartphone (iOS / ANDROID (registered trademark))

[0164] This is a terminal where users can input product information and monitor the effectiveness of advertising.

[0165] 2. AI module (e.g., GPT-4 (registered trademark))

[0166] It provides a function that generates multiple ad copy candidates based on product information and selects the most suitable ad copy.

[0167] 3. Backend server (AWS (registered trademark) EC2, Node.js)

[0168] It has functions to receive product information, extract data, manage databases, send data to AI modules, propose and manage advertising media, and monitor advertising effectiveness.

[0169] 4. Database (MySQL (registered trademark))

[0170] Manage product information, generated ad copy, target audience information, performance data, etc.

[0171] 5. Advertising API (Instagram Ads API, Facebook Marketing API)

[0172] It provides an interface for delivering the produced advertising copy to a specified target audience.

[0173] Explaining program processing in natural language

[0174] 1. Enter product information

[0175] A user launches a smartphone application and enters information about a product (product name, price, features, target audience), which is converted into JSON format and sent to a backend server using the HTTPS protocol.

[0176] 2. Extracting data and sending it to the AI ​​module

[0177] The server deserializes the received JSON data and extracts the necessary fields (product name, price, features, etc.). The extracted data is passed to an AI module, which generates multiple ad copy candidates. The AI ​​module then selects the best copy from the generated ad copy and stores it in a database.

[0178] 3. Target audience analysis and advertising media recommendations

[0179] The server analyzes the target audience using past advertising data and market trend data. It identifies the optimal target audience based on attributes such as age group, gender, region, and interests, and then suggests the optimal advertising medium (e.g., Instagram Ads, Facebook Ads). It also sets the advertising schedule and budget and automatically distributes the ads.

[0180] 4. Monitoring advertising effectiveness and providing reports

[0181] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. Users can check advertising performance reports on a web dashboard via their smartphone. The server also optimizes advertising settings as needed based on this data.

[0182] Examples of concrete examples and prompts

[0183] The user enters information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s." This information is converted into JSON format and sent to the server via HTTPS.

[0184] Example prompt sentence:

[0185] Product Name: Handmade Silver Necklace

[0186] Price: 5,000 yen

[0187] Features: Simple and elegant

[0188] Target: Women in their 20s and 30s

[0189] As described above, the present invention enables stores to effectively create and distribute web advertisements, and to monitor and manage their effectiveness in real time.

[0190] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0191] Step 1:

[0192] Users launch the smartphone application and enter product information (product name, price, features, target audience) through the interface, which is then converted into JSON format within the app.

[0193] Input: Product information (e.g., product name "Handmade silver necklace", price "5,000 yen", characteristics "Simple and elegant", target "Women in their 20s and 30s")

[0194] Output: JSON format data

[0195] Step 2:

[0196] The terminal sends the converted JSON formatted data to the backend server using the HTTPS protocol.

[0197] Input: JSON format data

[0198] Output: Data transfer via HTTPS

[0199] Step 3:

[0200] The server deserializes the JSON data received via the HTTPS protocol and extracts the necessary fields, such as product name, price, features, target audience, etc. At this time, it breaks down the product information into individual fields and prepares them for storage in the database.

[0201] Input: JSON data via HTTPS

[0202] Output: Product data broken down into fields (product name, price, features, target audience)

[0203] Step 4:

[0204] The server passes the extracted product data to an AI module (e.g., GPT-4), which generates a number of ad copy candidates based on each data. The AI ​​module then selects the best ad copy from the generated candidates and stores the selected ad copy in a database.

[0205] Input: Product data (product name, price, features, target audience)

[0206] Output: Generated ad copy candidates, optimal ad copy (stored in database)

[0207] Step 5:

[0208] The server analyzes the target audience using past advertising data and market trend data, identifying the optimal target demographic based on demographic information such as age, gender, region, and interests.

[0209] Input: Historical advertising data, market trend data

[0210] Output: Attribute information of the identified target demographic

[0211] Step 6:

[0212] The server proposes the optimal advertising medium (e.g., Instagram Ads, Facebook Ads) based on the attribute information of the identified target audience. The server sets the advertising schedule and budget based on the proposal and automatically manages ad distribution.

[0213] Input: Target demographic information, ad copy

[0214] Output: Proposed advertising media, advertising schedule, budget setting

[0215] Step 7:

[0216] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. The analysis results are provided to users via a web dashboard. Users can check the effectiveness of their ads in real time based on this data.

[0217] Input: Ad performance data (click-through rate, conversion rate, etc.)

[0218] Output: Analysis results, performance report (displayed on web dashboard)

[0219] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0220] This invention relates to a system that helps merchants create and distribute effective web advertisements. In particular, by combining an emotion engine that recognizes user emotions, it enables more precise generation of advertisement copy and analysis of target audiences. This system involves a series of processes in which users input product information, and the AI ​​module and emotion engine automatically generate advertisement copy based on that information, and propose and manage the optimal target audience and advertisement media.

[0221] Program processing explanation

[0222] 1. Enter store information

[0223] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information, including product name, price, features, and information about the target audience.

[0224] The emotion engine recognizes the user's emotions in real time as they input, and acquires emotional data, such as whether the user is happy, sad, excited, etc., through facial recognition and voice analysis.

[0225] 2. Data Transmission

[0226] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[0227] 3. Receiving and extracting data

[0228] The server deserializes the received JSON data and extracts the required data fields (product name, price, features, and sentiment data), which are then passed to the AI ​​module.

[0229] 4. Automatically generate ad copy

[0230] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module generates multiple ad copy candidates and selects the most appropriate one that appeals to the user's emotions. For example, it might generate ad copy such as, "New handmade silver necklace. Simple and elegant design at this price!"

[0231] 5. Target Audience Analysis

[0232] The server analyzes the target audience using historical advertising data and market trend data, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[0233] 6. Proposal and management of advertising media

[0234] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server sets the advertising schedule and budget and automatically distributes the ads.

[0235] 7. Monitoring advertising effectiveness and providing reports

[0236] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[0237] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[0238] Specific examples

[0239] 1. The user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "Simple and elegant," and the target audience as "Women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed state when entering information.

[0240] 2. The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[0241] 3. The server extracts the product name, price, features, and sentiment data and sends it to the AI ​​module.

[0242] 4. The AI ​​module on the server takes into account the emotional data and generates and selects the following advertising copy: "New handmade silver necklace, simple and elegant design, at this price!"

[0243] 5. The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[0244] 6. The server determines that Instagram Ads and Facebook Ads are the best fit for this target and schedules the ads to be delivered automatically.

[0245] 7. The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[0246] As described above, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and can further increase the effectiveness of advertisements by taking user emotions into consideration.

[0247] The processing flow will be explained below.

[0248] Step 1:

[0249] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. As users enter information, the emotion engine obtains emotional data (such as joy, sadness, excitement, etc.) through facial recognition and voice analysis.

[0250] Step 2:

[0251] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[0252] Step 3:

[0253] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, sentiment data, etc.) This data is passed to the AI ​​module.

[0254] Step 4:

[0255] The server sends a request to the AI ​​module to generate ad copy based on product information and emotional data. The AI ​​module uses the emotional data to generate multiple ad copy candidates and selects the most suitable one from among them. For example, an ad copy such as "New handmade silver necklace. Simple and elegant design at a great price!" may be generated.

[0256] Step 5:

[0257] The server stores the generated ad copy in a database. The server also analyzes the target audience using past advertising data, market trend data, and sentiment data. The AI ​​module identifies the optimal target demographic by taking into account age, gender, region, interests, and sentiment data.

[0258] Step 6:

[0259] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget and automatically distributes the ads.

[0260] Step 7:

[0261] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data at the same time to more precisely evaluate the effectiveness of advertising.

[0262] Step 8:

[0263] Users access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data, which the server uses to optimize ad settings as needed.

[0264] This series of steps allows merchants to create and deliver effective web advertisements that take user emotions into account.

[0265] Example 2

[0266] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0267] Conventional web advertising generation and distribution systems were unable to take user emotions into account when generating ad copy based on product information or analyzing target audiences. This made it difficult to generate effective ad copy that appealed to users' emotions and distribute it to the optimal target demographic. Furthermore, emotional data was not utilized to precisely evaluate the effectiveness of advertising. This limited the effectiveness of advertising, preventing advertisers from achieving satisfactory results.

[0268] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for the user to input product information and real-time emotion data; means for the terminal to transmit the product information and emotion data to the server; means for the server to receive the product information and emotion data and extract necessary data; means for the server to generate advertising copy using the product information and emotion data with an AI module; means for the server to analyze the target audience of the advertisement; means for the server to propose and manage optimal advertising media; and means for the server to monitor the effectiveness of the advertisement and provide a report. This enables the generation of effective advertising copy that takes user emotions into consideration and precise analysis of the target audience.

[0269] "User" refers to an individual or company that uses the system to input product information.

[0270] "Terminal" refers to a device (e.g., PC, smartphone, etc.) used by a user to input information.

[0271] "Server" refers to a central computer that receives, processes, and manages data sent from terminals.

[0272] "Product Information" refers to detailed product information entered by the User (e.g., product name, price, features, target audience, etc.).

[0273] "Interface" refers to the screen or form through which the user enters product information.

[0274] "Emotional Data" refers to data that measures and records a user's emotional state (e.g., happiness, sadness, excitement, relaxation, etc.) in real time.

[0275] "AI module" refers to an artificial intelligence algorithm that automatically generates advertising copy based on product information and emotional data.

[0276] "Ad copy" refers to a text message generated to promote a product.

[0277] "Target audience" refers to a specific demographic (e.g., age, gender, region, interests, etc.) that is targeted by advertising.

[0278] "Advertising medium" refers to a platform for delivering advertisements (e.g., Instagram Ads, Facebook Ads, etc.).

[0279] "Monitoring" refers to the real-time monitoring of advertising performance data (e.g., click-through rate, conversion rate, etc.).

[0280] "Report" refers to a report summarizing detailed analysis results based on advertising effectiveness and sentiment data.

[0281] This invention relates to a system that helps merchants create and distribute effective web advertisements. Specifically, it involves a series of processes in which users input product information, an AI module and an emotion engine automatically generate advertisement copy based on that information, and then propose and manage the optimal target audience and advertisement media.

[0282] The system includes the following hardware and software:

[0283] The device used by the user (e.g., PC, smartphone)

[0284] Server (a central computer that processes and manages data)

[0285] Emotion engine (function that analyzes user emotions in real time)

[0286] AI module (an algorithm that automatically generates ad copy using a generative AI model)

[0287] Specific implementation methods

[0288] Enter store information

[0289] Users access a dedicated input form using their own device (e.g., a PC or smartphone), which contains fields for entering information about the product name, price, features, and target audience.

[0290] The emotion engine uses real-time facial recognition and voice analysis while the user is typing to capture the user's emotional state, for example, determining whether the user is relaxed or excited.

[0291] Sending data

[0292] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as product ID and store ID.

[0293] Receiving and extracting data

[0294] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. This data is then passed to the AI ​​module.

[0295] Auto-generated ad text

[0296] The server sends an ad copy generation request to the AI ​​module based on the extracted product information and emotion data. The AI ​​module uses the generative AI model to generate multiple ad copy candidates and selects the optimal ad copy that appeals to the user's emotions.

[0297] For example, the following ad copy might be generated: "New handmade silver necklace. Simple and elegant design at a great price!"

[0298] Target Audience Analysis

[0299] The server uses historical advertising data and market trend data to analyze the target audience, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[0300] For example, the target audience may be identified as "relaxed women in their 20s and 30s."

[0301] Proposal and management of advertising media

[0302] The server identifies the most suitable advertising medium based on the target audience's attribute information and emotional data, suggesting, for example, "Instagram Ads" and "Facebook Ads."

[0303] Advertising schedules and budgets are also set on the server, and ads are delivered automatically.

[0304] Monitoring advertising effectiveness and providing reports

[0305] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time, and also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[0306] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[0307] Specific examples

[0308] The user inputs information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed emotional state.

[0309] The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[0310] The server extracts product information and emotion data and sends it to the AI ​​module.

[0311] The AI ​​module in the server takes emotional data into consideration and generates and selects advertising copy such as, "New handmade silver necklace, simple and elegant design, at this price!"

[0312] The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[0313] The server determines that "Instagram Ads" and "Facebook Ads" are the most suitable and sets up a schedule to automatically deliver the ads.

[0314] The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[0315] In this way, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and further enhances the effectiveness of advertisements by taking into account user emotions.

[0316] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0317] Step 1: User enters product information

[0318] Users access a dedicated input form using their own device (such as a PC or smartphone) and enter information about the product name, price, features, and target audience. The entered information is temporarily stored in the device's memory. At the same time, the device's emotion engine analyzes the user's facial expressions and voice as they enter information, and obtains emotional data such as joy, sadness, and relaxation.

[0319] Input: Product information (product name, price, features, target audience) and real-time user sentiment data

[0320] Output: Temporarily stored product information and sentiment data

[0321] Step 2: The device sends the data to the server

[0322] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as product ID and store ID.

[0323] Input: Product information and emotion data (stored in the device's memory)

[0324] Output: JSON data sent to the server

[0325] Step 3: The server receives and extracts the data

[0326] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. The extracted data is checked for integrity before proceeding to the ad generation process using the AI ​​module.

[0327] Input: JSON data sent to the server

[0328] Output: Extracted product information and sentiment data

[0329] Step 4: The server automatically generates the ad copy

[0330] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module uses a generative AI model to generate multiple ad copy candidates. The optimal one is selected from the generated ad copy candidates, taking into account the emotion data.

[0331] Input: Product information and sentiment data

[0332] Output: Best ad copy selected

[0333] Step 5: The server analyzes the target audience

[0334] The server analyzes the target audience using past advertising data and market trend data, and the AI ​​module takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic, which is expected to maximize the effectiveness of advertising.

[0335] Input: Target audience demographics, sentiment data, past advertising data, market trend data

[0336] Output: Identified optimal target audience

[0337] Step 6: The server proposes and manages advertising media

[0338] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" or "Facebook Ads." The server also sets the advertising schedule and budget, and automatically distributes the ads.

[0339] Input: Identified target audience, sentiment data

[0340] Output: Optimal advertising media, advertising distribution schedule

[0341] Step 7: The server monitors the effectiveness of the ad and provides a report

[0342] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time. At the same time, it analyzes sentiment data to more precisely evaluate the effectiveness of the ad. The generated performance report and detailed analysis results are provided to the user via a web dashboard.

[0343] Input: Real-time performance data, sentiment data

[0344] Output: Performance report, detailed analysis results

[0345] In this way, at each processing step, appropriate data processing and calculations are performed based on the input data, resulting in useful output data. By using this system, merchants can create and distribute effective web advertisements, and can also precisely evaluate the effectiveness of their advertisements.

[0346] (Application example 2)

[0347] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0348] In modern advertising, generating ad copy and optimizing target audiences while taking user emotions into account are key challenges. However, existing systems lack the means to effectively utilize emotional data, making it difficult to maximize advertising effectiveness. Furthermore, there is no established method for monitoring advertising effectiveness in real time and providing users with feedback based on emotional data. This makes it difficult to immediately improve advertising performance.

[0349] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0350] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to transmit the product information and user emotion data to the server, and means for the server to receive the product information and emotion data and extract necessary data, thereby enabling the generation of advertising copy and optimization of target audiences that take user emotions into consideration.

[0351] An "interface" is an operation screen or input means for a user to input product information.

[0352] A "terminal" is an electronic device, such as a PC, smartphone, or smart glasses, that a user uses to input and transmit information.

[0353] A "server" is a central processing unit that processes received data and performs tasks such as generating advertising copy, analyzing target audiences, and managing advertising media.

[0354] "Product Information" refers to information about the product name, price, features, and target audience.

[0355] "Emotional data" is data about the user's emotional state obtained through facial recognition, voice analysis, etc.

[0356] The "AI module" is a software module that uses artificial intelligence technology to analyze data, generate advertising copy, identify optimal target demographics, and more.

[0357] "Advertising copy" is text for advertising a product or service, and is generated based on product information and emotion data entered by the user.

[0358] A "target audience" is a demographic group of users who should receive a particular ad copy.

[0359] "Advertising media" refers to platforms or media for distributing generated advertisements, such as social media advertisements and website advertisements.

[0360] "Monitoring" refers to the act of monitoring the effectiveness of advertising in real time and collecting and analyzing performance data.

[0361] "Report" means a report summarizing the results of analysis based on advertising performance data and sentiment data, and is provided to users.

[0362] This invention relates to a system for generating and monitoring advertisements using user emotion data. The system is composed of the following parts:

[0363] 1. Interface

[0364] It provides an interface for users to enter product information. The interface consists of an input form displayed on a device such as a PC, smartphone, or smart glasses. The form includes fields for product name, price, features, and target audience.

[0365] 2. Terminal

[0366] The device is equipped with a function to acquire product information and user emotional data. The smart glasses or smartphone uses a camera and microphone to recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time, converts the acquired data into JSON format, and sends it to the server.

[0367] 3. Server

[0368] The server is responsible for:

[0369] Receiving and extracting data: Deserialize the received product information and sentiment data and extract the required fields.

[0370] Ad copy generation: The AI ​​module generates ad copy based on the extracted product information and emotional data. The AI ​​module generates multiple ad copy candidates based on the emotional data and selects the most appropriate one.

[0371] Target Audience Analysis: Optimize your target audience by taking into account past advertising data, market trend data, and sentiment data.

[0372] Proposing and managing advertising media: Based on the target audience's attribute information and emotional data, we propose the most suitable advertising media, and set and manage advertising delivery schedules and budgets.

[0373] Monitoring and Reporting: Monitors ad performance in real time and provides detailed analysis, including sentiment data, in reports that users can view through their device's web dashboard.

[0374] Specific examples

[0375] For example, a user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions (relaxed state) in real time and acquires emotional data. Based on this information, multiple ad copy candidates are generated, from which the following ad copy is selected: "New Handmade Silver Necklace. Simple and elegant design, at this price!"

[0376] Prompt Sentence Examples

[0377] "The user enters information about a new product, a "handmade silver necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions in real time and acquires emotional data (e.g., a relaxed state). Based on this information, generate multiple ad copy candidates and generate a prompt to select the most appropriate one."

[0378] The hardware used includes smart glasses, smartphones, and PCs, while the software includes AI modules, facial recognition systems, and voice analysis systems, enabling real-time emotional data acquisition and advertising optimization.

[0379] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0380] Step 1:

[0381] The user enters product information

[0382] Users use the interface of a PC, smartphone, or smart glasses to input product information (product name, price, features, target audience). The input information is temporarily stored in the device's memory. As the information is being input, the camera and microphone of the smart glasses or smartphone capture the user's emotional data. The facial recognition system and voice analysis system recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time and store them as emotional data on the device.

[0383] Input data: Product information (product name, price, features, target audience) and sentiment data

[0384] Output data: JSON format data

[0385] Step 2:

[0386] Sending data from the device to the server

[0387] The device converts the input product information and emotion data into JSON format and sends it to the cloud server using the HTTPS protocol. At this time, in addition to the product information and emotion data, metadata such as the store ID and product ID are also sent.

[0388] Input data: JSON format data

[0389] Output data: Data sent to the cloud server

[0390] Step 3:

[0391] The server receives and extracts the data

[0392] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, emotion data). The extracted data is stored in a database on the server and passed to the next processing step.

[0393] Input data: JSON data sent to the cloud server

[0394] Output data: Extracted data (product name, price, features, sentiment data)

[0395] Step 4:

[0396] The server generates the ad copy

[0397] The server uses an AI module to generate multiple ad copy candidates based on the extracted product information and emotion data. The AI ​​module considers the emotion data and selects the ad copy that best reflects the user's emotions. The selected ad copy is stored on the server.

[0398] Input data: extracted product information and sentiment data

[0399] Output data: Generated ad copy

[0400] Step 5:

[0401] The server analyzes the target audience

[0402] The server analyzes the target audience by taking into account past advertising data, market trend data, and emotional data. The AI ​​module then takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic.

[0403] Input data: historical advertising data, market trend data, sentiment data

[0404] Output data: Analyzed target audience

[0405] Step 6:

[0406] The server proposes and manages advertising media

[0407] The server then proposes the optimal advertising medium based on the analyzed target audience's attribute information and emotional data. For example, it may select "social media advertising" or "website advertising." The server also sets and manages the advertising distribution schedule and budget.

[0408] Input data: Analyzed target audience

[0409] Output data: Proposed advertising media, set distribution schedule and budget

[0410] Step 7:

[0411] The server monitors the effectiveness of the advertisement and provides a report

[0412] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time and generates detailed reports including sentiment data. Users can access a web dashboard via their device and check real-time analysis results based on ad performance and sentiment data.

[0413] Input data: advertising performance data, sentiment data

[0414] Output data: Generated reports, displayed in web dashboards

[0415] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0416] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0417] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0418] [Second embodiment]

[0419] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0420] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0421] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0422] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0423] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0424] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0425] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0426] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0427] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0428] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0429] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0430] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0431] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: users input product information, an AI module automatically generates advertisement copy based on that information, and the AI ​​module proposes and manages optimal target audiences and advertisement media.

[0432] Program processing explanation

[0433] 1. Enter store information

[0434] Users access a dedicated input form using their own device (e.g., PC or smartphone), which has fields for entering product name, price, features, and target audience information (e.g., young women, office workers, etc.).

[0435] 2. Data Transmission

[0436] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol, along with metadata such as the store ID and product ID.

[0437] 3. Receiving and extracting data

[0438] The server deserializes the JSON data sent from the terminal and extracts the necessary fields (product name, price, features, etc.).

[0439] 4. Automatically generate ad copy

[0440] The server passes the extracted data to an AI module, which generates multiple ad copy candidates based on the product information, such as "New handmade silver necklace, available at a special price!"

[0441] The AI ​​module selects the best ad copy from the generated ones and saves it in the database as the final ad copy.

[0442] 5. Target Audience Analysis

[0443] The server analyzes target audiences using historical advertising data and market trend data, while the AI ​​module identifies optimal targets based on attributes such as age, gender, location, and interests.

[0444] 6. Proposal and management of advertising media

[0445] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads."

[0446] The server sets the advertising schedule and budget based on the proposal and automatically distributes the advertisements.

[0447] 7. Monitoring advertising effectiveness and providing reports

[0448] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time.

[0449] Users can view ad performance reports on a web dashboard via their device, and the server will use this data to optimize ad settings as needed.

[0450] Specific examples

[0451] The user inputs information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s."

[0452] The device converts this information into JSON format and sends it to the server via HTTPS.

[0453] The server receives the data, extracts fields such as product name, price, and features, and sends them to the AI ​​module.

[0454] The AI ​​module in the server generates the ad copy, "New handmade silver necklace, simple and elegant design at this price!" and selects it as the optimal ad copy.

[0455] The server uses historical and trend data to identify the target audience as "young women in their 20s and 30s."

[0456] The server determines that Instagram Ads and Facebook Ads are best suited to this target and schedules the ads to be delivered automatically.

[0457] The server monitors performance data such as click rates and conversion rates in real time, and users can check advertising performance reports through their devices.

[0458] As described above, the present invention automates the series of processes by which a store effectively creates and distributes web advertisements, thereby reducing the burden on the store.

[0459] The processing flow will be explained below.

[0460] Step 1:

[0461] The user uses their own device (such as a PC or smartphone) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. Once the input is complete, the user presses the "Submit" button.

[0462] Step 2:

[0463] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[0464] Step 3:

[0465] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, etc.) This data is passed to the AI ​​module.

[0466] Step 4:

[0467] The server sends a request to the AI ​​module to generate ad copy based on product information. The AI ​​module generates multiple ad copy candidates and selects the most suitable one from among them. For example, it might generate ad copy such as "New handmade silver necklace. Simple and elegant design at this price!"

[0468] Step 5:

[0469] The server stores the generated ad copy in a database. It also analyzes the target audience using past advertising data and market trend data. The AI ​​module identifies the optimal target demographic by taking into account attributes such as age, gender, region, and interests.

[0470] Step 6:

[0471] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget, and automatically distributes the ads.

[0472] Step 7:

[0473] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time and stores this data in a database.

[0474] Step 8:

[0475] Users access a web dashboard via their device to view ad performance reports, and the server uses the performance data to optimize ad settings as needed.

[0476] This series of steps allows merchants to effectively create and distribute web advertisements.

[0477] Example 1

[0478] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0479] Conventional advertising creation and distribution systems have had the problem that it takes a great deal of time and effort for stores to create effective web advertisements and deliver them to the optimal target audience in a timely manner. As a result, the accuracy of the advertisements is low, and the expected advertising effect is often not achieved. In addition, the distribution to different advertising media and their management are complicated, placing a heavy burden on store operators. The objective of this invention is to solve these problems.

[0480] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0481] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to send the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using a generative AI model, means for the server to analyze the target audience of the advertisement, means for the server to suggest and manage optimal advertising media, and means for the server to monitor the effectiveness of the advertisement and provide reports. This enables stores to effectively create web advertisements and deliver them to the optimal target audience.

[0482] "User" refers to a person who inputs product information and operates the advertisement creation system.

[0483] "Product information" refers to data necessary for creating advertisements, such as product name, price, features, and target audience information.

[0484] The "means for providing an interface" refers to an input device such as a web form or application that allows a user to input product information.

[0485] "Terminal" refers to a device such as a PC or smartphone that a user uses to input product information and send it to a server.

[0486] "Server" refers to a computer system that receives and analyzes product information, generates advertising copy using a generative AI model, manages advertising placement, and monitors and reports on advertising effectiveness.

[0487] A "generative AI model" refers to an artificial intelligence system that generates advertising copy based on product information and selects the most appropriate copy.

[0488] "Means for analyzing advertising target audiences" refers to analytical devices that use past advertising data and market trend data to identify optimal target demographics.

[0489] "Means for proposing and managing advertising media" refers to a device for selecting the most suitable advertising media based on attribute information of the target audience, and for setting and managing the advertising schedule and budget.

[0490] "Means for monitoring the effectiveness of advertisements and providing reports" refers to a device for tracking and analyzing advertisement performance data in real time and providing the results to users.

[0491] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: a user inputs product information, a generative AI model automatically generates advertising copy based on that information, and the system proposes and manages optimal target audiences and advertising media.

[0492] First, the user accesses a dedicated input form using a device such as a PC or smartphone. The user inputs the product name, price, features, and target audience information (e.g., young women, office workers, etc.). For example, the user might input the product name "Handmade Silver Necklace," the price "5,000 yen," the features "Simple and elegant," and the target audience "Women in their 20s and 30s."

[0493] Next, the terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as the store ID and product ID.

[0494] The server receives the JSON data sent from the device, deserializes it, and extracts the necessary fields (product name, price, features, etc.). The extracted product information is passed to a generative AI model. The generative AI model generates multiple ad copy candidates based on the provided product information. For example, an ad copy such as "New handmade silver necklace, available at a special price!" is generated.

[0495] The generative AI model selects the best ad copy from the generated ones, and the server stores that copy in a database. The server then analyzes the target audience using past advertising data and market trend data. The generative AI model identifies the optimal target demographic based on attributes such as age, gender, region, and interests. For example, the server determines that "young women in their 20s and 30s" are the optimal target.

[0496] Next, the server identifies the optimal advertising medium (e.g., Instagram Ads or Facebook Ads) based on the target audience's attribute information. The server sets the advertising schedule and budget based on the recommendations and automatically distributes the ads. For example, it decides to distribute the ads through Instagram Ads and sets a schedule to distribute the ads at 10:00 a.m. every day.

[0497] Finally, the server monitors the ad performance data (click-through rate, conversion rate, etc.) in real time and analyzes the results. Users can view the ad performance report on a web dashboard accessible through their device. Based on this data, the server optimizes the ad settings as needed.

[0498] In this way, the present invention is a system that enables stores to effectively create web advertisements and distribute them to optimal target audiences, thereby improving the accuracy and effectiveness of advertisements. The above is a specific description of the embodiment for carrying out the present invention.

[0499] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0500] Step 1:

[0501] Users access a dedicated input form using a device such as a PC or smartphone. They input the product name, price, features, and target audience information. An example of input could be "Handmade silver necklace, 5,000 yen, simple and elegant, for women in their 20s and 30s." The input data is saved in the device's local storage.

[0502] Input: Product name, price, features, target audience information

[0503] Output: Product information stored in the device's local storage

[0504] Specific behavior: The user enters product information into each field of a web form and clicks the submit button.

[0505] Step 2:

[0506] The device converts the saved product information into JSON format and then sends the data to the server using the HTTPS protocol, including metadata such as the store ID and product ID.

[0507] Input: Product information saved on the device

[0508] Output: JSON data sent to the server

[0509] Specific operation: The terminal encodes the form input data into a JSON-formatted string and sends it to the server as an HTTPS request.

[0510] Step 3:

[0511] The server receives the JSON data sent from the device, deserializes it, extracts the necessary fields (product name, price, features, target audience information), and also extracts the store ID and product ID.

[0512] Input: JSON data sent from the terminal

[0513] Output: Each field of the deserialized product information

[0514] Specific operation: The server parses the JSON data and extracts the values ​​of each field.

[0515] Step 4:

[0516] The server passes the product information to the generative AI model, which generates multiple ad copy candidates based on the provided product information. For example, it might generate a message like, "New handmade silver necklace, simple and elegant design at this price!"

[0517] Input: Extracted product information

[0518] Output: Multiple ad copy candidates generated

[0519] Specific operation: The generative AI model generates advertising copy based on the input data and returns it to the server.

[0520] Step 5:

[0521] The generative AI model selects the best ad copy from the generated copy, and the server stores the selected copy in a database.

[0522] Input: Multiple generated ad copy candidates

[0523] Output: Best ad copy, ad copy stored in database

[0524] How it works: The generative AI model uses an evaluation algorithm to select the best ad copy, and the server stores the ad copy in a database.

[0525] Step 6:

[0526] The server analyzes target audiences using historical advertising data and market trend data, and a generative AI model identifies optimal targets based on attributes such as age, gender, location, and interests.

[0527] Input: Historical advertising data, market trend data

[0528] Output: Identified target audience

[0529] Specific operation: The server retrieves historical advertising data and market trend data from the database and analyzes them using machine learning algorithms.

[0530] Step 7:

[0531] The server identifies the optimal advertising medium based on the target audience's attribute information. The server then sets the advertising schedule and budget based on the proposal and automatically distributes the ads. For example, it decides to distribute ads through "Instagram Ads" and sets a schedule to distribute the ads at 10:00 AM every day.

[0532] Input: Attribute information of the identified target audience

[0533] Output: Ad posting schedule and delivered ads

[0534] Specific operation: The server uses an algorithm to select the optimal advertising medium, automatically set the advertising schedule, and distribute it.

[0535] Step 8:

[0536] The server monitors the performance data of the advertisements (click rates, conversion rates, etc.) in real time and analyzes the results. Users can check the performance report of the advertisements on a web dashboard via their device.

[0537] Input: Real-time ad performance data

[0538] Output: Ad performance report, analysis results

[0539] What it does: The server collects real-time data, uses analytical algorithms to evaluate performance, and displays the results on a web dashboard.

[0540] Through each of the above steps, the system enables stores to create effective web advertisements and deliver them to the optimal target audience.

[0541] (Application example 1)

[0542] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0543] It is complex and time-consuming for merchants to create effective web advertisements and distribute them to the appropriate target audience. It is also not easy to monitor the effectiveness of advertisements in real time and adjust them as needed. In this situation, there is a demand for a system that can efficiently create and distribute advertisements and monitor and manage their effectiveness.

[0544] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0545] In this invention, the server includes means for providing an interface for users to input product information, means for a terminal to transmit the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using an AI module, means for the server to analyze the target audience of the advertisement, means for the server to propose and manage optimal advertising media, means for the server to monitor the effectiveness of the advertisement and provide a report, means for the user to efficiently create advertising copy and manage distribution via a smartphone application, and means for monitoring advertising performance data in real time and analyzing the data. This enables stores to effectively create and distribute web advertisements and monitor and manage their effectiveness in real time.

[0546] "Means for providing an interface for users to input product information" refers to system elements including web forms and input screens within applications that allow stores and individuals to input detailed product information.

[0547] The "means for the terminal to transmit the product information to the server" refers to a system function including a protocol and a communication module for transmitting the product information input by the user to the server via a network.

[0548] "Means for the server to receive the product information and extract the necessary data" refers to the processing function within the server to receive the transmitted product information and analyze and extract the necessary fields (product name, price, features, etc.).

[0549] The "means by which the server generates advertising copy using an AI module" refers to an element of a system that uses AI technology to automatically generate advertising copy based on product information.

[0550] The "means by which the server analyzes the target audience for the advertisement" refers to a function that includes analytical algorithms for identifying the optimal target demographic based on historical data and market trends.

[0551] "Means for the server to propose and manage the optimal advertising media" refers to the system's function for proposing and managing the most effective advertising platforms (e.g., social media, search engines, etc.) for a specified target demographic.

[0552] "Means for the server to monitor the effectiveness of advertisements and provide reports" refers to the system's function of collecting and analyzing performance data of delivered advertisements in real time and providing the results to users in the form of reports.

[0553] "A means for users to efficiently create advertising copy and manage distribution using a smartphone application" refers to the functionality of a dedicated application that allows users to efficiently create advertising copy and manage distribution schedules on their smartphones.

[0554] "Means for monitoring advertising performance data in real time and analyzing the data" refers to a system function that monitors performance data such as click rates and conversion rates in real time after an advertisement is delivered and analyzes that data.

[0555] This invention relates to a system that helps stores create and distribute effective web advertisements. Users input product information through a smartphone application, and an AI module automatically generates advertising copy based on that information, and the system includes a series of processes that suggest and manage optimal target audiences and advertising media. Specific embodiments for implementing this invention are described in detail below.

[0556] Hardware and software used

[0557] 1. Smartphone (iOS / Android)

[0558] This is a terminal where users can input product information and monitor the effectiveness of advertising.

[0559] 2. AI module (e.g. GPT-4)

[0560] It provides a function that generates multiple ad copy candidates based on product information and selects the most suitable ad copy.

[0561] 3. Backend server (AWS EC2, Node.js)

[0562] It has functions to receive product information, extract data, manage databases, send data to AI modules, propose and manage advertising media, and monitor advertising effectiveness.

[0563] 4. Database (MySQL)

[0564] Manage product information, generated ad copy, target audience information, performance data, etc.

[0565] 5. Advertising API (Instagram Ads API, Facebook Marketing API)

[0566] It provides an interface for delivering the produced advertising copy to a specified target audience.

[0567] Explaining program processing in natural language

[0568] 1. Enter product information

[0569] A user launches a smartphone application and enters information about a product (product name, price, features, target audience), which is converted into JSON format and sent to a backend server using the HTTPS protocol.

[0570] 2. Extracting data and sending it to the AI ​​module

[0571] The server deserializes the received JSON data and extracts the necessary fields (product name, price, features, etc.). The extracted data is passed to an AI module, which generates multiple ad copy candidates. The AI ​​module then selects the best copy from the generated ad copy and stores it in a database.

[0572] 3. Target audience analysis and advertising media recommendations

[0573] The server analyzes the target audience using past advertising data and market trend data. It identifies the optimal target audience based on attributes such as age group, gender, region, and interests, and then suggests the optimal advertising medium (e.g., Instagram Ads, Facebook Ads). It also sets the advertising schedule and budget and automatically distributes the ads.

[0574] 4. Monitoring advertising effectiveness and providing reports

[0575] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. Users can check advertising performance reports on a web dashboard via their smartphone. The server also optimizes advertising settings as needed based on this data.

[0576] Examples of concrete examples and prompts

[0577] The user enters information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s." This information is converted into JSON format and sent to the server via HTTPS.

[0578] Example prompt sentence:

[0579] Product Name: Handmade Silver Necklace

[0580] Price: 5,000 yen

[0581] Features: Simple and elegant

[0582] Target: Women in their 20s and 30s

[0583] As described above, the present invention enables stores to effectively create and distribute web advertisements, and to monitor and manage their effectiveness in real time.

[0584] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0585] Step 1:

[0586] Users launch the smartphone application and enter product information (product name, price, features, target audience) through the interface, which is then converted into JSON format within the app.

[0587] Input: Product information (e.g., product name "Handmade silver necklace", price "5,000 yen", characteristics "Simple and elegant", target "Women in their 20s and 30s")

[0588] Output: JSON format data

[0589] Step 2:

[0590] The terminal sends the converted JSON formatted data to the backend server using the HTTPS protocol.

[0591] Input: JSON format data

[0592] Output: Data transfer via HTTPS

[0593] Step 3:

[0594] The server deserializes the JSON data received via the HTTPS protocol and extracts the necessary fields, such as product name, price, features, target audience, etc. At this time, it breaks down the product information into individual fields and prepares them for storage in the database.

[0595] Input: JSON data via HTTPS

[0596] Output: Product data broken down into fields (product name, price, features, target audience)

[0597] Step 4:

[0598] The server passes the extracted product data to an AI module (e.g., GPT-4), which generates a number of ad copy candidates based on each data. The AI ​​module then selects the best ad copy from the generated candidates and stores the selected ad copy in a database.

[0599] Input: Product data (product name, price, features, target audience)

[0600] Output: Generated ad copy candidates, optimal ad copy (stored in database)

[0601] Step 5:

[0602] The server analyzes the target audience using past advertising data and market trend data, identifying the optimal target demographic based on demographic information such as age, gender, region, and interests.

[0603] Input: Historical advertising data, market trend data

[0604] Output: Attribute information of the identified target demographic

[0605] Step 6:

[0606] The server proposes the optimal advertising medium (e.g., Instagram Ads, Facebook Ads) based on the attribute information of the identified target audience. The server sets the advertising schedule and budget based on the proposal and automatically manages ad distribution.

[0607] Input: Target demographic information, ad copy

[0608] Output: Proposed advertising media, advertising schedule, budget setting

[0609] Step 7:

[0610] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. The analysis results are provided to users via a web dashboard. Users can check the effectiveness of their ads in real time based on this data.

[0611] Input: Ad performance data (click-through rate, conversion rate, etc.)

[0612] Output: Analysis results, performance report (displayed on web dashboard)

[0613] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0614] This invention relates to a system that helps merchants create and distribute effective web advertisements. In particular, by combining an emotion engine that recognizes user emotions, it enables more precise generation of advertisement copy and analysis of target audiences. This system involves a series of processes in which users input product information, and the AI ​​module and emotion engine automatically generate advertisement copy based on that information, and propose and manage the optimal target audience and advertisement media.

[0615] Program processing explanation

[0616] 1. Enter store information

[0617] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information, including product name, price, features, and information about the target audience.

[0618] The emotion engine recognizes the user's emotions in real time as they input, and acquires emotional data, such as whether the user is happy, sad, excited, etc., through facial recognition and voice analysis.

[0619] 2. Data Transmission

[0620] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[0621] 3. Receiving and extracting data

[0622] The server deserializes the received JSON data and extracts the required data fields (product name, price, features, and sentiment data), which are then passed to the AI ​​module.

[0623] 4. Automatically generate ad copy

[0624] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module generates multiple ad copy candidates and selects the most appropriate one that appeals to the user's emotions. For example, it might generate ad copy such as, "New handmade silver necklace. Simple and elegant design at this price!"

[0625] 5. Target Audience Analysis

[0626] The server analyzes the target audience using historical advertising data and market trend data, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[0627] 6. Proposal and management of advertising media

[0628] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server sets the advertising schedule and budget and automatically distributes the ads.

[0629] 7. Monitoring advertising effectiveness and providing reports

[0630] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[0631] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[0632] Specific examples

[0633] 1. The user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "Simple and elegant," and the target audience as "Women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed state when entering information.

[0634] 2. The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[0635] 3. The server extracts the product name, price, features, and sentiment data and sends it to the AI ​​module.

[0636] 4. The AI ​​module on the server takes into account the emotional data and generates and selects the following advertising copy: "New handmade silver necklace, simple and elegant design, at this price!"

[0637] 5. The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[0638] 6. The server determines that Instagram Ads and Facebook Ads are the best fit for this target and schedules the ads to be delivered automatically.

[0639] 7. The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[0640] As described above, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and can further increase the effectiveness of advertisements by taking user emotions into consideration.

[0641] The processing flow will be explained below.

[0642] Step 1:

[0643] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. As users enter information, the emotion engine obtains emotional data (such as joy, sadness, excitement, etc.) through facial recognition and voice analysis.

[0644] Step 2:

[0645] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[0646] Step 3:

[0647] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, sentiment data, etc.) This data is passed to the AI ​​module.

[0648] Step 4:

[0649] The server sends a request to the AI ​​module to generate ad copy based on product information and emotional data. The AI ​​module uses the emotional data to generate multiple ad copy candidates and selects the most suitable one from among them. For example, an ad copy such as "New handmade silver necklace. Simple and elegant design at a great price!" may be generated.

[0650] Step 5:

[0651] The server stores the generated ad copy in a database. The server also analyzes the target audience using past advertising data, market trend data, and sentiment data. The AI ​​module identifies the optimal target demographic by taking into account age, gender, region, interests, and sentiment data.

[0652] Step 6:

[0653] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget and automatically distributes the ads.

[0654] Step 7:

[0655] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data at the same time to more precisely evaluate the effectiveness of advertising.

[0656] Step 8:

[0657] Users access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data, which the server uses to optimize ad settings as needed.

[0658] This series of steps allows merchants to create and deliver effective web advertisements that take user emotions into account.

[0659] Example 2

[0660] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0661] Conventional web advertising generation and distribution systems were unable to take user emotions into account when generating ad copy based on product information or analyzing target audiences. This made it difficult to generate effective ad copy that appealed to users' emotions and distribute it to the optimal target demographic. Furthermore, emotional data was not utilized to precisely evaluate the effectiveness of advertising. This limited the effectiveness of advertising, preventing advertisers from achieving satisfactory results.

[0662] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for the user to input product information and real-time emotion data; means for the terminal to transmit the product information and emotion data to the server; means for the server to receive the product information and emotion data and extract necessary data; means for the server to generate advertising copy using the product information and emotion data with an AI module; means for the server to analyze the target audience of the advertisement; means for the server to propose and manage optimal advertising media; and means for the server to monitor the effectiveness of the advertisement and provide a report. This enables the generation of effective advertising copy that takes user emotions into consideration and precise analysis of the target audience.

[0663] "User" refers to an individual or company that uses the system to input product information.

[0664] "Terminal" refers to a device (e.g., PC, smartphone, etc.) used by a user to input information.

[0665] "Server" refers to a central computer that receives, processes, and manages data sent from terminals.

[0666] "Product Information" refers to detailed product information entered by the User (e.g., product name, price, features, target audience, etc.).

[0667] "Interface" refers to the screen or form through which the user enters product information.

[0668] "Emotional Data" refers to data that measures and records a user's emotional state (e.g., happiness, sadness, excitement, relaxation, etc.) in real time.

[0669] "AI module" refers to an artificial intelligence algorithm that automatically generates advertising copy based on product information and emotional data.

[0670] "Ad copy" refers to a text message generated to promote a product.

[0671] "Target audience" refers to a specific demographic (e.g., age, gender, region, interests, etc.) that is targeted by advertising.

[0672] "Advertising medium" refers to a platform for delivering advertisements (e.g., Instagram Ads, Facebook Ads, etc.).

[0673] "Monitoring" refers to the real-time monitoring of advertising performance data (e.g., click-through rate, conversion rate, etc.).

[0674] "Report" refers to a report summarizing detailed analysis results based on advertising effectiveness and sentiment data.

[0675] This invention relates to a system that helps merchants create and distribute effective web advertisements. Specifically, it involves a series of processes in which users input product information, an AI module and an emotion engine automatically generate advertisement copy based on that information, and then propose and manage the optimal target audience and advertisement media.

[0676] The system includes the following hardware and software:

[0677] The device used by the user (e.g., PC, smartphone)

[0678] Server (a central computer that processes and manages data)

[0679] Emotion engine (function that analyzes user emotions in real time)

[0680] AI module (an algorithm that automatically generates ad copy using a generative AI model)

[0681] Specific implementation methods

[0682] Enter store information

[0683] Users access a dedicated input form using their own device (e.g., a PC or smartphone), which contains fields for entering information about the product name, price, features, and target audience.

[0684] The emotion engine uses real-time facial recognition and voice analysis while the user is typing to capture the user's emotional state, for example, determining whether the user is relaxed or excited.

[0685] Sending data

[0686] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as product ID and store ID.

[0687] Receiving and extracting data

[0688] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. This data is then passed to the AI ​​module.

[0689] Auto-generated ad text

[0690] The server sends an ad copy generation request to the AI ​​module based on the extracted product information and emotion data. The AI ​​module uses the generative AI model to generate multiple ad copy candidates and selects the optimal ad copy that appeals to the user's emotions.

[0691] For example, the following ad copy might be generated: "New handmade silver necklace. Simple and elegant design at a great price!"

[0692] Target Audience Analysis

[0693] The server uses historical advertising data and market trend data to analyze the target audience, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[0694] For example, the target audience may be identified as "relaxed women in their 20s and 30s."

[0695] Proposal and management of advertising media

[0696] The server identifies the most suitable advertising medium based on the target audience's attribute information and emotional data, suggesting, for example, "Instagram Ads" and "Facebook Ads."

[0697] Advertising schedules and budgets are also set on the server, and ads are delivered automatically.

[0698] Monitoring advertising effectiveness and providing reports

[0699] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time, and also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[0700] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[0701] Specific examples

[0702] The user inputs information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed emotional state.

[0703] The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[0704] The server extracts product information and emotion data and sends it to the AI ​​module.

[0705] The AI ​​module in the server takes emotional data into consideration and generates and selects advertising copy such as, "New handmade silver necklace, simple and elegant design, at this price!"

[0706] The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[0707] The server determines that "Instagram Ads" and "Facebook Ads" are the most suitable and sets up a schedule to automatically deliver the ads.

[0708] The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[0709] In this way, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and further enhances the effectiveness of advertisements by taking into account user emotions.

[0710] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0711] Step 1: User enters product information

[0712] Users access a dedicated input form using their own device (such as a PC or smartphone) and enter information about the product name, price, features, and target audience. The entered information is temporarily stored in the device's memory. At the same time, the device's emotion engine analyzes the user's facial expressions and voice as they enter information, and obtains emotional data such as joy, sadness, and relaxation.

[0713] Input: Product information (product name, price, features, target audience) and real-time user sentiment data

[0714] Output: Temporarily stored product information and sentiment data

[0715] Step 2: The device sends the data to the server

[0716] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as product ID and store ID.

[0717] Input: Product information and emotion data (stored in the device's memory)

[0718] Output: JSON data sent to the server

[0719] Step 3: The server receives and extracts the data

[0720] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. The extracted data is checked for integrity before proceeding to the ad generation process using the AI ​​module.

[0721] Input: JSON data sent to the server

[0722] Output: Extracted product information and sentiment data

[0723] Step 4: The server automatically generates the ad copy

[0724] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module uses a generative AI model to generate multiple ad copy candidates. The optimal one is selected from the generated ad copy candidates, taking into account the emotion data.

[0725] Input: Product information and sentiment data

[0726] Output: Best ad copy selected

[0727] Step 5: The server analyzes the target audience

[0728] The server analyzes the target audience using past advertising data and market trend data, and the AI ​​module takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic, which is expected to maximize the effectiveness of advertising.

[0729] Input: Target audience demographics, sentiment data, past advertising data, market trend data

[0730] Output: Identified optimal target audience

[0731] Step 6: The server proposes and manages advertising media

[0732] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" or "Facebook Ads." The server also sets the advertising schedule and budget, and automatically distributes the ads.

[0733] Input: Identified target audience, sentiment data

[0734] Output: Optimal advertising media, advertising distribution schedule

[0735] Step 7: The server monitors the effectiveness of the ad and provides a report

[0736] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time. At the same time, it analyzes sentiment data to more precisely evaluate the effectiveness of the ad. The generated performance report and detailed analysis results are provided to the user via a web dashboard.

[0737] Input: Real-time performance data, sentiment data

[0738] Output: Performance report, detailed analysis results

[0739] In this way, at each processing step, appropriate data processing and calculations are performed based on the input data, resulting in useful output data. By using this system, merchants can create and distribute effective web advertisements, and can also precisely evaluate the effectiveness of their advertisements.

[0740] (Application example 2)

[0741] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0742] In modern advertising, generating ad copy and optimizing target audiences while taking user emotions into account are key challenges. However, existing systems lack the means to effectively utilize emotional data, making it difficult to maximize advertising effectiveness. Furthermore, there is no established method for monitoring advertising effectiveness in real time and providing users with feedback based on emotional data. This makes it difficult to immediately improve advertising performance.

[0743] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0744] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to transmit the product information and user emotion data to the server, and means for the server to receive the product information and emotion data and extract necessary data, thereby enabling the generation of advertising copy and optimization of target audiences that take user emotions into consideration.

[0745] An "interface" is an operation screen or input means for a user to input product information.

[0746] A "terminal" is an electronic device, such as a PC, smartphone, or smart glasses, that a user uses to input and transmit information.

[0747] A "server" is a central processing unit that processes received data and performs tasks such as generating advertising copy, analyzing target audiences, and managing advertising media.

[0748] "Product Information" refers to information about the product name, price, features, and target audience.

[0749] "Emotional data" is data about the user's emotional state obtained through facial recognition, voice analysis, etc.

[0750] The "AI module" is a software module that uses artificial intelligence technology to analyze data, generate advertising copy, identify optimal target demographics, and more.

[0751] "Advertising copy" is text for advertising a product or service, and is generated based on product information and emotion data entered by the user.

[0752] A "target audience" is a demographic group of users who should receive a particular ad copy.

[0753] "Advertising media" refers to platforms or media for distributing generated advertisements, such as social media advertisements and website advertisements.

[0754] "Monitoring" refers to the act of monitoring the effectiveness of advertising in real time and collecting and analyzing performance data.

[0755] "Report" means a report summarizing the results of analysis based on advertising performance data and sentiment data, and is provided to users.

[0756] This invention relates to a system for generating and monitoring advertisements using user emotion data. The system is composed of the following parts:

[0757] 1. Interface

[0758] It provides an interface for users to enter product information. The interface consists of an input form displayed on a device such as a PC, smartphone, or smart glasses. The form includes fields for product name, price, features, and target audience.

[0759] 2. Terminal

[0760] The device is equipped with a function to acquire product information and user emotional data. The smart glasses or smartphone uses a camera and microphone to recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time, converts the acquired data into JSON format, and sends it to the server.

[0761] 3. Server

[0762] The server is responsible for:

[0763] Receiving and extracting data: Deserialize the received product information and sentiment data and extract the required fields.

[0764] Ad copy generation: The AI ​​module generates ad copy based on the extracted product information and emotional data. The AI ​​module generates multiple ad copy candidates based on the emotional data and selects the most appropriate one.

[0765] Target Audience Analysis: Optimize your target audience by taking into account past advertising data, market trend data, and sentiment data.

[0766] Proposing and managing advertising media: Based on the target audience's attribute information and emotional data, we propose the most suitable advertising media, and set and manage advertising delivery schedules and budgets.

[0767] Monitoring and Reporting: Monitors ad performance in real time and provides detailed analysis, including sentiment data, in reports that users can view through their device's web dashboard.

[0768] Specific examples

[0769] For example, a user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions (relaxed state) in real time and acquires emotional data. Based on this information, multiple ad copy candidates are generated, from which the following ad copy is selected: "New Handmade Silver Necklace. Simple and elegant design, at this price!"

[0770] Prompt Sentence Examples

[0771] "The user enters information about a new product, a "handmade silver necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions in real time and acquires emotional data (e.g., a relaxed state). Based on this information, generate multiple ad copy candidates and generate a prompt to select the most appropriate one."

[0772] The hardware used includes smart glasses, smartphones, and PCs, while the software includes AI modules, facial recognition systems, and voice analysis systems, enabling real-time emotional data acquisition and advertising optimization.

[0773] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0774] Step 1:

[0775] The user enters product information

[0776] Users use the interface of a PC, smartphone, or smart glasses to input product information (product name, price, features, target audience). The input information is temporarily stored in the device's memory. As the information is being input, the camera and microphone of the smart glasses or smartphone capture the user's emotional data. The facial recognition system and voice analysis system recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time and store them as emotional data on the device.

[0777] Input data: Product information (product name, price, features, target audience) and sentiment data

[0778] Output data: JSON format data

[0779] Step 2:

[0780] Sending data from the device to the server

[0781] The device converts the input product information and emotion data into JSON format and sends it to the cloud server using the HTTPS protocol. At this time, in addition to the product information and emotion data, metadata such as the store ID and product ID are also sent.

[0782] Input data: JSON format data

[0783] Output data: Data sent to the cloud server

[0784] Step 3:

[0785] The server receives and extracts the data

[0786] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, emotion data). The extracted data is stored in a database on the server and passed to the next processing step.

[0787] Input data: JSON data sent to the cloud server

[0788] Output data: Extracted data (product name, price, features, sentiment data)

[0789] Step 4:

[0790] The server generates the ad copy

[0791] The server uses an AI module to generate multiple ad copy candidates based on the extracted product information and emotion data. The AI ​​module considers the emotion data and selects the ad copy that best reflects the user's emotions. The selected ad copy is stored on the server.

[0792] Input data: extracted product information and sentiment data

[0793] Output data: Generated ad copy

[0794] Step 5:

[0795] The server analyzes the target audience

[0796] The server analyzes the target audience by taking into account past advertising data, market trend data, and emotional data. The AI ​​module then takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic.

[0797] Input data: historical advertising data, market trend data, sentiment data

[0798] Output data: Analyzed target audience

[0799] Step 6:

[0800] The server proposes and manages advertising media

[0801] The server then proposes the optimal advertising medium based on the analyzed target audience's attribute information and emotional data. For example, it may select "social media advertising" or "website advertising." The server also sets and manages the advertising distribution schedule and budget.

[0802] Input data: Analyzed target audience

[0803] Output data: Proposed advertising media, set distribution schedule and budget

[0804] Step 7:

[0805] The server monitors the effectiveness of the advertisement and provides a report

[0806] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time and generates detailed reports including sentiment data. Users can access a web dashboard via their device and check real-time analysis results based on ad performance and sentiment data.

[0807] Input data: advertising performance data, sentiment data

[0808] Output data: Generated reports, displayed in web dashboards

[0809] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0810] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0811] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0812] [Third embodiment]

[0813] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0814] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0815] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0816] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0817] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0818] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0819] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0820] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0821] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0822] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0823] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0824] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0825] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: users input product information, an AI module automatically generates advertisement copy based on that information, and the AI ​​module proposes and manages optimal target audiences and advertisement media.

[0826] Program processing explanation

[0827] 1. Enter store information

[0828] Users access a dedicated input form using their own device (e.g., PC or smartphone), which has fields for entering product name, price, features, and target audience information (e.g., young women, office workers, etc.).

[0829] 2. Data Transmission

[0830] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol, along with metadata such as the store ID and product ID.

[0831] 3. Receiving and extracting data

[0832] The server deserializes the JSON data sent from the terminal and extracts the necessary fields (product name, price, features, etc.).

[0833] 4. Automatically generate ad copy

[0834] The server passes the extracted data to an AI module, which generates multiple ad copy candidates based on the product information, such as "New handmade silver necklace, available at a special price!"

[0835] The AI ​​module selects the best ad copy from the generated ones and saves it in the database as the final ad copy.

[0836] 5. Target Audience Analysis

[0837] The server analyzes target audiences using historical advertising data and market trend data, while the AI ​​module identifies optimal targets based on attributes such as age, gender, location, and interests.

[0838] 6. Proposal and management of advertising media

[0839] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads."

[0840] The server sets the advertising schedule and budget based on the proposal and automatically distributes the advertisements.

[0841] 7. Monitoring advertising effectiveness and providing reports

[0842] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time.

[0843] Users can view ad performance reports on a web dashboard via their device, and the server will use this data to optimize ad settings as needed.

[0844] Specific examples

[0845] The user inputs information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s."

[0846] The device converts this information into JSON format and sends it to the server via HTTPS.

[0847] The server receives the data, extracts fields such as product name, price, and features, and sends them to the AI ​​module.

[0848] The AI ​​module in the server generates the ad copy, "New handmade silver necklace, simple and elegant design at this price!" and selects it as the optimal ad copy.

[0849] The server uses historical and trend data to identify the target audience as "young women in their 20s and 30s."

[0850] The server determines that Instagram Ads and Facebook Ads are best suited to this target and schedules the ads to be delivered automatically.

[0851] The server monitors performance data such as click rates and conversion rates in real time, and users can check advertising performance reports through their devices.

[0852] As described above, the present invention automates the series of processes by which a store effectively creates and distributes web advertisements, thereby reducing the burden on the store.

[0853] The processing flow will be explained below.

[0854] Step 1:

[0855] The user uses their own device (such as a PC or smartphone) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. Once the input is complete, the user presses the "Submit" button.

[0856] Step 2:

[0857] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[0858] Step 3:

[0859] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, etc.) This data is passed to the AI ​​module.

[0860] Step 4:

[0861] The server sends a request to the AI ​​module to generate ad copy based on product information. The AI ​​module generates multiple ad copy candidates and selects the most suitable one from among them. For example, it might generate ad copy such as "New handmade silver necklace. Simple and elegant design at this price!"

[0862] Step 5:

[0863] The server stores the generated ad copy in a database. It also analyzes the target audience using past advertising data and market trend data. The AI ​​module identifies the optimal target demographic by taking into account attributes such as age, gender, region, and interests.

[0864] Step 6:

[0865] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget, and automatically distributes the ads.

[0866] Step 7:

[0867] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time and stores this data in a database.

[0868] Step 8:

[0869] Users access a web dashboard via their device to view ad performance reports, and the server uses the performance data to optimize ad settings as needed.

[0870] This series of steps allows merchants to effectively create and distribute web advertisements.

[0871] Example 1

[0872] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0873] Conventional advertising creation and distribution systems have had the problem that it takes a great deal of time and effort for stores to create effective web advertisements and deliver them to the optimal target audience in a timely manner. As a result, the accuracy of the advertisements is low, and the expected advertising effect is often not achieved. In addition, the distribution to different advertising media and their management are complicated, placing a heavy burden on store operators. The objective of this invention is to solve these problems.

[0874] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0875] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to send the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using a generative AI model, means for the server to analyze the target audience of the advertisement, means for the server to suggest and manage optimal advertising media, and means for the server to monitor the effectiveness of the advertisement and provide reports. This enables stores to effectively create web advertisements and deliver them to the optimal target audience.

[0876] "User" refers to a person who inputs product information and operates the advertisement creation system.

[0877] "Product information" refers to data necessary for creating advertisements, such as product name, price, features, and target audience information.

[0878] The "means for providing an interface" refers to an input device such as a web form or application that allows a user to input product information.

[0879] "Terminal" refers to a device such as a PC or smartphone that a user uses to input product information and send it to a server.

[0880] "Server" refers to a computer system that receives and analyzes product information, generates advertising copy using a generative AI model, manages advertising placement, and monitors and reports on advertising effectiveness.

[0881] A "generative AI model" refers to an artificial intelligence system that generates advertising copy based on product information and selects the most appropriate copy.

[0882] "Means for analyzing advertising target audiences" refers to analytical devices that use past advertising data and market trend data to identify optimal target demographics.

[0883] "Means for proposing and managing advertising media" refers to a device for selecting the most suitable advertising media based on attribute information of the target audience, and for setting and managing the advertising schedule and budget.

[0884] "Means for monitoring the effectiveness of advertisements and providing reports" refers to a device for tracking and analyzing advertisement performance data in real time and providing the results to users.

[0885] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: a user inputs product information, a generative AI model automatically generates advertising copy based on that information, and the system proposes and manages optimal target audiences and advertising media.

[0886] First, the user accesses a dedicated input form using a device such as a PC or smartphone. The user inputs the product name, price, features, and target audience information (e.g., young women, office workers, etc.). For example, the user might input the product name "Handmade Silver Necklace," the price "5,000 yen," the features "Simple and elegant," and the target audience "Women in their 20s and 30s."

[0887] Next, the terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as the store ID and product ID.

[0888] The server receives the JSON data sent from the device, deserializes it, and extracts the necessary fields (product name, price, features, etc.). The extracted product information is passed to a generative AI model. The generative AI model generates multiple ad copy candidates based on the provided product information. For example, an ad copy such as "New handmade silver necklace, available at a special price!" is generated.

[0889] The generative AI model selects the best ad copy from the generated ones, and the server stores that copy in a database. The server then analyzes the target audience using past advertising data and market trend data. The generative AI model identifies the optimal target demographic based on attributes such as age, gender, region, and interests. For example, the server determines that "young women in their 20s and 30s" are the optimal target.

[0890] Next, the server identifies the optimal advertising medium (e.g., Instagram Ads or Facebook Ads) based on the target audience's attribute information. The server sets the advertising schedule and budget based on the recommendations and automatically distributes the ads. For example, it decides to distribute the ads through Instagram Ads and sets a schedule to distribute the ads at 10:00 a.m. every day.

[0891] Finally, the server monitors the ad performance data (click-through rate, conversion rate, etc.) in real time and analyzes the results. Users can view the ad performance report on a web dashboard accessible through their device. Based on this data, the server optimizes the ad settings as needed.

[0892] In this way, the present invention is a system that enables stores to effectively create web advertisements and distribute them to optimal target audiences, thereby improving the accuracy and effectiveness of advertisements. The above is a specific description of the embodiment for carrying out the present invention.

[0893] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0894] Step 1:

[0895] Users access a dedicated input form using a device such as a PC or smartphone. They input the product name, price, features, and target audience information. An example of input could be "Handmade silver necklace, 5,000 yen, simple and elegant, for women in their 20s and 30s." The input data is saved in the device's local storage.

[0896] Input: Product name, price, features, target audience information

[0897] Output: Product information stored in the device's local storage

[0898] Specific behavior: The user enters product information into each field of a web form and clicks the submit button.

[0899] Step 2:

[0900] The device converts the saved product information into JSON format and then sends the data to the server using the HTTPS protocol, including metadata such as the store ID and product ID.

[0901] Input: Product information saved on the device

[0902] Output: JSON data sent to the server

[0903] Specific operation: The terminal encodes the form input data into a JSON-formatted string and sends it to the server as an HTTPS request.

[0904] Step 3:

[0905] The server receives the JSON data sent from the device, deserializes it, extracts the necessary fields (product name, price, features, target audience information), and also extracts the store ID and product ID.

[0906] Input: JSON data sent from the terminal

[0907] Output: Each field of the deserialized product information

[0908] Specific operation: The server parses the JSON data and extracts the values ​​of each field.

[0909] Step 4:

[0910] The server passes the product information to the generative AI model, which generates multiple ad copy candidates based on the provided product information. For example, it might generate a message like, "New handmade silver necklace, simple and elegant design at this price!"

[0911] Input: Extracted product information

[0912] Output: Multiple ad copy candidates generated

[0913] Specific operation: The generative AI model generates advertising copy based on the input data and returns it to the server.

[0914] Step 5:

[0915] The generative AI model selects the best ad copy from the generated copy, and the server stores the selected copy in a database.

[0916] Input: Multiple generated ad copy candidates

[0917] Output: Best ad copy, ad copy stored in database

[0918] How it works: The generative AI model uses an evaluation algorithm to select the best ad copy, and the server stores the ad copy in a database.

[0919] Step 6:

[0920] The server analyzes target audiences using historical advertising data and market trend data, and a generative AI model identifies optimal targets based on attributes such as age, gender, location, and interests.

[0921] Input: Historical advertising data, market trend data

[0922] Output: Identified target audience

[0923] Specific operation: The server retrieves historical advertising data and market trend data from the database and analyzes them using machine learning algorithms.

[0924] Step 7:

[0925] The server identifies the optimal advertising medium based on the target audience's attribute information. The server then sets the advertising schedule and budget based on the proposal and automatically distributes the ads. For example, it decides to distribute ads through "Instagram Ads" and sets a schedule to distribute the ads at 10:00 AM every day.

[0926] Input: Attribute information of the identified target audience

[0927] Output: Ad posting schedule and delivered ads

[0928] Specific operation: The server uses an algorithm to select the optimal advertising medium, automatically set the advertising schedule, and distribute it.

[0929] Step 8:

[0930] The server monitors the performance data of the advertisements (click rates, conversion rates, etc.) in real time and analyzes the results. Users can check the performance report of the advertisements on a web dashboard via their device.

[0931] Input: Real-time ad performance data

[0932] Output: Ad performance report, analysis results

[0933] What it does: The server collects real-time data, uses analytical algorithms to evaluate performance, and displays the results on a web dashboard.

[0934] Through each of the above steps, the system enables stores to create effective web advertisements and deliver them to the optimal target audience.

[0935] (Application example 1)

[0936] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0937] It is complex and time-consuming for merchants to create effective web advertisements and distribute them to the appropriate target audience. It is also not easy to monitor the effectiveness of advertisements in real time and adjust them as needed. In this situation, there is a demand for a system that can efficiently create and distribute advertisements and monitor and manage their effectiveness.

[0938] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0939] In this invention, the server includes means for providing an interface for users to input product information, means for a terminal to transmit the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using an AI module, means for the server to analyze the target audience of the advertisement, means for the server to propose and manage optimal advertising media, means for the server to monitor the effectiveness of the advertisement and provide a report, means for the user to efficiently create advertising copy and manage distribution via a smartphone application, and means for monitoring advertising performance data in real time and analyzing the data. This enables stores to effectively create and distribute web advertisements and monitor and manage their effectiveness in real time.

[0940] "Means for providing an interface for users to input product information" refers to system elements including web forms and input screens within applications that allow stores and individuals to input detailed product information.

[0941] The "means for the terminal to transmit the product information to the server" refers to a system function including a protocol and a communication module for transmitting the product information input by the user to the server via a network.

[0942] "Means for the server to receive the product information and extract the necessary data" refers to the processing function within the server to receive the transmitted product information and analyze and extract the necessary fields (product name, price, features, etc.).

[0943] The "means by which the server generates advertising copy using an AI module" refers to an element of a system that uses AI technology to automatically generate advertising copy based on product information.

[0944] The "means by which the server analyzes the target audience for the advertisement" refers to a function that includes analytical algorithms for identifying the optimal target demographic based on historical data and market trends.

[0945] "Means for the server to propose and manage the optimal advertising media" refers to the system's function for proposing and managing the most effective advertising platforms (e.g., social media, search engines, etc.) for a specified target demographic.

[0946] "Means for the server to monitor the effectiveness of advertisements and provide reports" refers to the system's function of collecting and analyzing performance data of delivered advertisements in real time and providing the results to users in the form of reports.

[0947] "A means for users to efficiently create advertising copy and manage distribution using a smartphone application" refers to the functionality of a dedicated application that allows users to efficiently create advertising copy and manage distribution schedules on their smartphones.

[0948] "Means for monitoring advertising performance data in real time and analyzing the data" refers to a system function that monitors performance data such as click rates and conversion rates in real time after an advertisement is delivered and analyzes that data.

[0949] This invention relates to a system that helps stores create and distribute effective web advertisements. Users input product information through a smartphone application, and an AI module automatically generates advertising copy based on that information, and the system includes a series of processes that suggest and manage optimal target audiences and advertising media. Specific embodiments for implementing this invention are described in detail below.

[0950] Hardware and software used

[0951] 1. Smartphone (iOS / Android)

[0952] This is a terminal where users can input product information and monitor the effectiveness of advertising.

[0953] 2. AI module (e.g. GPT-4)

[0954] It provides a function that generates multiple ad copy candidates based on product information and selects the most suitable ad copy.

[0955] 3. Backend server (AWS EC2, Node.js)

[0956] It has functions to receive product information, extract data, manage databases, send data to AI modules, propose and manage advertising media, and monitor advertising effectiveness.

[0957] 4. Database (MySQL)

[0958] Manage product information, generated ad copy, target audience information, performance data, etc.

[0959] 5. Advertising API (Instagram Ads API, Facebook Marketing API)

[0960] It provides an interface for delivering the produced advertising copy to a specified target audience.

[0961] Explaining program processing in natural language

[0962] 1. Enter product information

[0963] A user launches a smartphone application and enters information about a product (product name, price, features, target audience), which is converted into JSON format and sent to a backend server using the HTTPS protocol.

[0964] 2. Extracting data and sending it to the AI ​​module

[0965] The server deserializes the received JSON data and extracts the necessary fields (product name, price, features, etc.). The extracted data is passed to an AI module, which generates multiple ad copy candidates. The AI ​​module then selects the best copy from the generated ad copy and stores it in a database.

[0966] 3. Target audience analysis and advertising media recommendations

[0967] The server analyzes the target audience using past advertising data and market trend data. It identifies the optimal target audience based on attributes such as age group, gender, region, and interests, and then suggests the optimal advertising medium (e.g., Instagram Ads, Facebook Ads). It also sets the advertising schedule and budget and automatically distributes the ads.

[0968] 4. Monitoring advertising effectiveness and providing reports

[0969] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. Users can check advertising performance reports on a web dashboard via their smartphone. The server also optimizes advertising settings as needed based on this data.

[0970] Examples of concrete examples and prompts

[0971] The user enters information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s." This information is converted into JSON format and sent to the server via HTTPS.

[0972] Example prompt sentence:

[0973] Product Name: Handmade Silver Necklace

[0974] Price: 5,000 yen

[0975] Features: Simple and elegant

[0976] Target: Women in their 20s and 30s

[0977] As described above, the present invention enables stores to effectively create and distribute web advertisements, and to monitor and manage their effectiveness in real time.

[0978] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0979] Step 1:

[0980] Users launch the smartphone application and enter product information (product name, price, features, target audience) through the interface, which is then converted into JSON format within the app.

[0981] Input: Product information (e.g., product name "Handmade silver necklace", price "5,000 yen", characteristics "Simple and elegant", target "Women in their 20s and 30s")

[0982] Output: JSON format data

[0983] Step 2:

[0984] The terminal sends the converted JSON formatted data to the backend server using the HTTPS protocol.

[0985] Input: JSON format data

[0986] Output: Data transfer via HTTPS

[0987] Step 3:

[0988] The server deserializes the JSON data received via the HTTPS protocol and extracts the necessary fields, such as product name, price, features, target audience, etc. At this time, it breaks down the product information into individual fields and prepares them for storage in the database.

[0989] Input: JSON data via HTTPS

[0990] Output: Product data broken down into fields (product name, price, features, target audience)

[0991] Step 4:

[0992] The server passes the extracted product data to an AI module (e.g., GPT-4), which generates a number of ad copy candidates based on each data. The AI ​​module then selects the best ad copy from the generated candidates and stores the selected ad copy in a database.

[0993] Input: Product data (product name, price, features, target audience)

[0994] Output: Generated ad copy candidates, optimal ad copy (stored in database)

[0995] Step 5:

[0996] The server analyzes the target audience using past advertising data and market trend data, identifying the optimal target demographic based on demographic information such as age, gender, region, and interests.

[0997] Input: Historical advertising data, market trend data

[0998] Output: Attribute information of the identified target demographic

[0999] Step 6:

[1000] The server proposes the optimal advertising medium (e.g., Instagram Ads, Facebook Ads) based on the attribute information of the identified target audience. The server sets the advertising schedule and budget based on the proposal and automatically manages ad distribution.

[1001] Input: Target demographic information, ad copy

[1002] Output: Proposed advertising media, advertising schedule, budget setting

[1003] Step 7:

[1004] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. The analysis results are provided to users via a web dashboard. Users can check the effectiveness of their ads in real time based on this data.

[1005] Input: Ad performance data (click-through rate, conversion rate, etc.)

[1006] Output: Analysis results, performance report (displayed on web dashboard)

[1007] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1008] This invention relates to a system that helps merchants create and distribute effective web advertisements. In particular, by combining an emotion engine that recognizes user emotions, it enables more precise generation of advertisement copy and analysis of target audiences. This system involves a series of processes in which users input product information, and the AI ​​module and emotion engine automatically generate advertisement copy based on that information, and propose and manage the optimal target audience and advertisement media.

[1009] Program processing explanation

[1010] 1. Enter store information

[1011] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information, including product name, price, features, and information about the target audience.

[1012] The emotion engine recognizes the user's emotions in real time as they input, and acquires emotional data, such as whether the user is happy, sad, excited, etc., through facial recognition and voice analysis.

[1013] 2. Data Transmission

[1014] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[1015] 3. Receiving and extracting data

[1016] The server deserializes the received JSON data and extracts the required data fields (product name, price, features, and sentiment data), which are then passed to the AI ​​module.

[1017] 4. Automatically generate ad copy

[1018] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module generates multiple ad copy candidates and selects the most appropriate one that appeals to the user's emotions. For example, it might generate ad copy such as, "New handmade silver necklace. Simple and elegant design at this price!"

[1019] 5. Target Audience Analysis

[1020] The server analyzes the target audience using historical advertising data and market trend data, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[1021] 6. Proposal and management of advertising media

[1022] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server sets the advertising schedule and budget and automatically distributes the ads.

[1023] 7. Monitoring advertising effectiveness and providing reports

[1024] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[1025] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[1026] Specific examples

[1027] 1. The user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "Simple and elegant," and the target audience as "Women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed state when entering information.

[1028] 2. The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[1029] 3. The server extracts the product name, price, features, and sentiment data and sends it to the AI ​​module.

[1030] 4. The AI ​​module on the server takes into account the emotional data and generates and selects the following advertising copy: "New handmade silver necklace, simple and elegant design, at this price!"

[1031] 5. The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[1032] 6. The server determines that Instagram Ads and Facebook Ads are the best fit for this target and schedules the ads to be delivered automatically.

[1033] 7. The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[1034] As described above, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and can further increase the effectiveness of advertisements by taking user emotions into consideration.

[1035] The processing flow will be explained below.

[1036] Step 1:

[1037] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. As users enter information, the emotion engine obtains emotional data (such as joy, sadness, excitement, etc.) through facial recognition and voice analysis.

[1038] Step 2:

[1039] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[1040] Step 3:

[1041] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, sentiment data, etc.) This data is passed to the AI ​​module.

[1042] Step 4:

[1043] The server sends a request to the AI ​​module to generate ad copy based on product information and emotional data. The AI ​​module uses the emotional data to generate multiple ad copy candidates and selects the most suitable one from among them. For example, an ad copy such as "New handmade silver necklace. Simple and elegant design at a great price!" may be generated.

[1044] Step 5:

[1045] The server stores the generated ad copy in a database. The server also analyzes the target audience using past advertising data, market trend data, and sentiment data. The AI ​​module identifies the optimal target demographic by taking into account age, gender, region, interests, and sentiment data.

[1046] Step 6:

[1047] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget and automatically distributes the ads.

[1048] Step 7:

[1049] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data at the same time to more precisely evaluate the effectiveness of advertising.

[1050] Step 8:

[1051] Users access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data, which the server uses to optimize ad settings as needed.

[1052] This series of steps allows merchants to create and deliver effective web advertisements that take user emotions into account.

[1053] Example 2

[1054] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1055] Conventional web advertising generation and distribution systems were unable to take user emotions into account when generating ad copy based on product information or analyzing target audiences. This made it difficult to generate effective ad copy that appealed to users' emotions and distribute it to the optimal target demographic. Furthermore, emotional data was not utilized to precisely evaluate the effectiveness of advertising. This limited the effectiveness of advertising, preventing advertisers from achieving satisfactory results.

[1056] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for the user to input product information and real-time emotion data; means for the terminal to transmit the product information and emotion data to the server; means for the server to receive the product information and emotion data and extract necessary data; means for the server to generate advertising copy using the product information and emotion data with an AI module; means for the server to analyze the target audience of the advertisement; means for the server to propose and manage optimal advertising media; and means for the server to monitor the effectiveness of the advertisement and provide a report. This enables the generation of effective advertising copy that takes user emotions into consideration and precise analysis of the target audience.

[1057] "User" refers to an individual or company that uses the system to input product information.

[1058] "Terminal" refers to a device (e.g., PC, smartphone, etc.) used by a user to input information.

[1059] "Server" refers to a central computer that receives, processes, and manages data sent from terminals.

[1060] "Product Information" refers to detailed product information entered by the User (e.g., product name, price, features, target audience, etc.).

[1061] "Interface" refers to the screen or form through which the user enters product information.

[1062] "Emotional Data" refers to data that measures and records a user's emotional state (e.g., happiness, sadness, excitement, relaxation, etc.) in real time.

[1063] "AI module" refers to an artificial intelligence algorithm that automatically generates advertising copy based on product information and emotional data.

[1064] "Ad copy" refers to a text message generated to promote a product.

[1065] "Target audience" refers to a specific demographic (e.g., age, gender, region, interests, etc.) that is targeted by advertising.

[1066] "Advertising medium" refers to a platform for delivering advertisements (e.g., Instagram Ads, Facebook Ads, etc.).

[1067] "Monitoring" refers to the real-time monitoring of advertising performance data (e.g., click-through rate, conversion rate, etc.).

[1068] "Report" refers to a report summarizing detailed analysis results based on advertising effectiveness and sentiment data.

[1069] This invention relates to a system that helps merchants create and distribute effective web advertisements. Specifically, it involves a series of processes in which users input product information, an AI module and an emotion engine automatically generate advertisement copy based on that information, and then propose and manage the optimal target audience and advertisement media.

[1070] The system includes the following hardware and software:

[1071] The device used by the user (e.g., PC, smartphone)

[1072] Server (a central computer that processes and manages data)

[1073] Emotion engine (function that analyzes user emotions in real time)

[1074] AI module (an algorithm that automatically generates ad copy using a generative AI model)

[1075] Specific implementation methods

[1076] Enter store information

[1077] Users access a dedicated input form using their own device (e.g., a PC or smartphone), which contains fields for entering information about the product name, price, features, and target audience.

[1078] The emotion engine uses real-time facial recognition and voice analysis while the user is typing to capture the user's emotional state, for example, determining whether the user is relaxed or excited.

[1079] Sending data

[1080] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as product ID and store ID.

[1081] Receiving and extracting data

[1082] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. This data is then passed to the AI ​​module.

[1083] Auto-generated ad text

[1084] The server sends an ad copy generation request to the AI ​​module based on the extracted product information and emotion data. The AI ​​module uses the generative AI model to generate multiple ad copy candidates and selects the optimal ad copy that appeals to the user's emotions.

[1085] For example, the following ad copy might be generated: "New handmade silver necklace. Simple and elegant design at a great price!"

[1086] Target Audience Analysis

[1087] The server uses historical advertising data and market trend data to analyze the target audience, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[1088] For example, the target audience may be identified as "relaxed women in their 20s and 30s."

[1089] Proposal and management of advertising media

[1090] The server identifies the most suitable advertising medium based on the target audience's attribute information and emotional data, suggesting, for example, "Instagram Ads" and "Facebook Ads."

[1091] Advertising schedules and budgets are also set on the server, and ads are delivered automatically.

[1092] Monitoring advertising effectiveness and providing reports

[1093] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time, and also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[1094] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[1095] Specific examples

[1096] The user inputs information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed emotional state.

[1097] The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[1098] The server extracts product information and emotion data and sends it to the AI ​​module.

[1099] The AI ​​module in the server takes emotional data into consideration and generates and selects advertising copy such as, "New handmade silver necklace, simple and elegant design, at this price!"

[1100] The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[1101] The server determines that "Instagram Ads" and "Facebook Ads" are the most suitable and sets up a schedule to automatically deliver the ads.

[1102] The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[1103] In this way, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and further enhances the effectiveness of advertisements by taking into account user emotions.

[1104] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1105] Step 1: User enters product information

[1106] Users access a dedicated input form using their own device (such as a PC or smartphone) and enter information about the product name, price, features, and target audience. The entered information is temporarily stored in the device's memory. At the same time, the device's emotion engine analyzes the user's facial expressions and voice as they enter information, and obtains emotional data such as joy, sadness, and relaxation.

[1107] Input: Product information (product name, price, features, target audience) and real-time user sentiment data

[1108] Output: Temporarily stored product information and sentiment data

[1109] Step 2: The device sends the data to the server

[1110] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as product ID and store ID.

[1111] Input: Product information and emotion data (stored in the device's memory)

[1112] Output: JSON data sent to the server

[1113] Step 3: The server receives and extracts the data

[1114] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. The extracted data is checked for integrity before proceeding to the ad generation process using the AI ​​module.

[1115] Input: JSON data sent to the server

[1116] Output: Extracted product information and sentiment data

[1117] Step 4: The server automatically generates the ad copy

[1118] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module uses a generative AI model to generate multiple ad copy candidates. The optimal one is selected from the generated ad copy candidates, taking into account the emotion data.

[1119] Input: Product information and sentiment data

[1120] Output: Best ad copy selected

[1121] Step 5: The server analyzes the target audience

[1122] The server analyzes the target audience using past advertising data and market trend data, and the AI ​​module takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic, which is expected to maximize the effectiveness of advertising.

[1123] Input: Target audience demographics, sentiment data, past advertising data, market trend data

[1124] Output: Identified optimal target audience

[1125] Step 6: The server proposes and manages advertising media

[1126] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" or "Facebook Ads." The server also sets the advertising schedule and budget, and automatically distributes the ads.

[1127] Input: Identified target audience, sentiment data

[1128] Output: Optimal advertising media, advertising distribution schedule

[1129] Step 7: The server monitors the effectiveness of the ad and provides a report

[1130] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time. At the same time, it analyzes sentiment data to more precisely evaluate the effectiveness of the ad. The generated performance report and detailed analysis results are provided to the user via a web dashboard.

[1131] Input: Real-time performance data, sentiment data

[1132] Output: Performance report, detailed analysis results

[1133] In this way, at each processing step, appropriate data processing and calculations are performed based on the input data, resulting in useful output data. By using this system, merchants can create and distribute effective web advertisements, and can also precisely evaluate the effectiveness of their advertisements.

[1134] (Application example 2)

[1135] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1136] In modern advertising, generating ad copy and optimizing target audiences while taking user emotions into account are key challenges. However, existing systems lack the means to effectively utilize emotional data, making it difficult to maximize advertising effectiveness. Furthermore, there is no established method for monitoring advertising effectiveness in real time and providing users with feedback based on emotional data. This makes it difficult to immediately improve advertising performance.

[1137] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1138] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to transmit the product information and user emotion data to the server, and means for the server to receive the product information and emotion data and extract necessary data, thereby enabling the generation of advertising copy and optimization of target audiences that take user emotions into consideration.

[1139] An "interface" is an operation screen or input means for a user to input product information.

[1140] A "terminal" is an electronic device, such as a PC, smartphone, or smart glasses, that a user uses to input and transmit information.

[1141] A "server" is a central processing unit that processes received data and performs tasks such as generating advertising copy, analyzing target audiences, and managing advertising media.

[1142] "Product Information" refers to information about the product name, price, features, and target audience.

[1143] "Emotional data" is data about the user's emotional state obtained through facial recognition, voice analysis, etc.

[1144] The "AI module" is a software module that uses artificial intelligence technology to analyze data, generate advertising copy, identify optimal target demographics, and more.

[1145] "Advertising copy" is text for advertising a product or service, and is generated based on product information and emotion data entered by the user.

[1146] A "target audience" is a demographic group of users who should receive a particular ad copy.

[1147] "Advertising media" refers to platforms or media for distributing generated advertisements, such as social media advertisements and website advertisements.

[1148] "Monitoring" refers to the act of monitoring the effectiveness of advertising in real time and collecting and analyzing performance data.

[1149] "Report" means a report summarizing the results of analysis based on advertising performance data and sentiment data, and is provided to users.

[1150] This invention relates to a system for generating and monitoring advertisements using user emotion data. The system is composed of the following parts:

[1151] 1. Interface

[1152] It provides an interface for users to enter product information. The interface consists of an input form displayed on a device such as a PC, smartphone, or smart glasses. The form includes fields for product name, price, features, and target audience.

[1153] 2. Terminal

[1154] The device is equipped with a function to acquire product information and user emotional data. The smart glasses or smartphone uses a camera and microphone to recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time, converts the acquired data into JSON format, and sends it to the server.

[1155] 3. Server

[1156] The server is responsible for:

[1157] Receiving and extracting data: Deserialize the received product information and sentiment data and extract the required fields.

[1158] Ad copy generation: The AI ​​module generates ad copy based on the extracted product information and emotional data. The AI ​​module generates multiple ad copy candidates based on the emotional data and selects the most appropriate one.

[1159] Target Audience Analysis: Optimize your target audience by taking into account past advertising data, market trend data, and sentiment data.

[1160] Proposing and managing advertising media: Based on the target audience's attribute information and emotional data, we propose the most suitable advertising media, and set and manage advertising delivery schedules and budgets.

[1161] Monitoring and Reporting: Monitors ad performance in real time and provides detailed analysis, including sentiment data, in reports that users can view through their device's web dashboard.

[1162] Specific examples

[1163] For example, a user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions (relaxed state) in real time and acquires emotional data. Based on this information, multiple ad copy candidates are generated, from which the following ad copy is selected: "New Handmade Silver Necklace. Simple and elegant design, at this price!"

[1164] Prompt Sentence Examples

[1165] "The user enters information about a new product, a "handmade silver necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions in real time and acquires emotional data (e.g., a relaxed state). Based on this information, generate multiple ad copy candidates and generate a prompt to select the most appropriate one."

[1166] The hardware used includes smart glasses, smartphones, and PCs, while the software includes AI modules, facial recognition systems, and voice analysis systems, enabling real-time emotional data acquisition and advertising optimization.

[1167] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1168] Step 1:

[1169] The user enters product information

[1170] Users use the interface of a PC, smartphone, or smart glasses to input product information (product name, price, features, target audience). The input information is temporarily stored in the device's memory. As the information is being input, the camera and microphone of the smart glasses or smartphone capture the user's emotional data. The facial recognition system and voice analysis system recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time and store them as emotional data on the device.

[1171] Input data: Product information (product name, price, features, target audience) and sentiment data

[1172] Output data: JSON format data

[1173] Step 2:

[1174] Sending data from the device to the server

[1175] The device converts the input product information and emotion data into JSON format and sends it to the cloud server using the HTTPS protocol. At this time, in addition to the product information and emotion data, metadata such as the store ID and product ID are also sent.

[1176] Input data: JSON format data

[1177] Output data: Data sent to the cloud server

[1178] Step 3:

[1179] The server receives and extracts the data

[1180] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, emotion data). The extracted data is stored in a database on the server and passed to the next processing step.

[1181] Input data: JSON data sent to the cloud server

[1182] Output data: Extracted data (product name, price, features, sentiment data)

[1183] Step 4:

[1184] The server generates the ad copy

[1185] The server uses an AI module to generate multiple ad copy candidates based on the extracted product information and emotion data. The AI ​​module considers the emotion data and selects the ad copy that best reflects the user's emotions. The selected ad copy is stored on the server.

[1186] Input data: extracted product information and sentiment data

[1187] Output data: Generated ad copy

[1188] Step 5:

[1189] The server analyzes the target audience

[1190] The server analyzes the target audience by taking into account past advertising data, market trend data, and emotional data. The AI ​​module then takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic.

[1191] Input data: historical advertising data, market trend data, sentiment data

[1192] Output data: Analyzed target audience

[1193] Step 6:

[1194] The server proposes and manages advertising media

[1195] The server then proposes the optimal advertising medium based on the analyzed target audience's attribute information and emotional data. For example, it may select "social media advertising" or "website advertising." The server also sets and manages the advertising distribution schedule and budget.

[1196] Input data: Analyzed target audience

[1197] Output data: Proposed advertising media, set distribution schedule and budget

[1198] Step 7:

[1199] The server monitors the effectiveness of the advertisement and provides a report

[1200] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time and generates detailed reports including sentiment data. Users can access a web dashboard via their device and check real-time analysis results based on ad performance and sentiment data.

[1201] Input data: advertising performance data, sentiment data

[1202] Output data: Generated reports, displayed in web dashboards

[1203] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1204] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1205] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1206] [Fourth embodiment]

[1207] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1208] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1209] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1210] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1211] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1212] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1213] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1214] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1215] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1216] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1217] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1218] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1219] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1220] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: users input product information, an AI module automatically generates advertisement copy based on that information, and the AI ​​module proposes and manages optimal target audiences and advertisement media.

[1221] Program processing explanation

[1222] 1. Enter store information

[1223] Users access a dedicated input form using their own device (e.g., PC or smartphone), which has fields for entering product name, price, features, and target audience information (e.g., young women, office workers, etc.).

[1224] 2. Data Transmission

[1225] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol, along with metadata such as the store ID and product ID.

[1226] 3. Receiving and extracting data

[1227] The server deserializes the JSON data sent from the terminal and extracts the necessary fields (product name, price, features, etc.).

[1228] 4. Automatically generate ad copy

[1229] The server passes the extracted data to an AI module, which generates multiple ad copy candidates based on the product information, such as "New handmade silver necklace, available at a special price!"

[1230] The AI ​​module selects the best ad copy from the generated ones and saves it in the database as the final ad copy.

[1231] 5. Target Audience Analysis

[1232] The server analyzes target audiences using historical advertising data and market trend data, while the AI ​​module identifies optimal targets based on attributes such as age, gender, location, and interests.

[1233] 6. Proposal and management of advertising media

[1234] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads."

[1235] The server sets the advertising schedule and budget based on the proposal and automatically distributes the advertisements.

[1236] 7. Monitoring advertising effectiveness and providing reports

[1237] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time.

[1238] Users can view ad performance reports on a web dashboard via their device, and the server will use this data to optimize ad settings as needed.

[1239] Specific examples

[1240] The user inputs information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s."

[1241] The device converts this information into JSON format and sends it to the server via HTTPS.

[1242] The server receives the data, extracts fields such as product name, price, and features, and sends them to the AI ​​module.

[1243] The AI ​​module in the server generates the ad copy, "New handmade silver necklace, simple and elegant design at this price!" and selects it as the optimal ad copy.

[1244] The server uses historical and trend data to identify the target audience as "young women in their 20s and 30s."

[1245] The server determines that Instagram Ads and Facebook Ads are best suited to this target and schedules the ads to be delivered automatically.

[1246] The server monitors performance data such as click rates and conversion rates in real time, and users can check advertising performance reports through their devices.

[1247] As described above, the present invention automates the series of processes by which a store effectively creates and distributes web advertisements, thereby reducing the burden on the store.

[1248] The processing flow will be explained below.

[1249] Step 1:

[1250] The user uses their own device (such as a PC or smartphone) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. Once the input is complete, the user presses the "Submit" button.

[1251] Step 2:

[1252] The terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[1253] Step 3:

[1254] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, etc.) This data is passed to the AI ​​module.

[1255] Step 4:

[1256] The server sends a request to the AI ​​module to generate ad copy based on product information. The AI ​​module generates multiple ad copy candidates and selects the most suitable one from among them. For example, it might generate ad copy such as "New handmade silver necklace. Simple and elegant design at this price!"

[1257] Step 5:

[1258] The server stores the generated ad copy in a database. It also analyzes the target audience using past advertising data and market trend data. The AI ​​module identifies the optimal target demographic by taking into account attributes such as age, gender, region, and interests.

[1259] Step 6:

[1260] The server identifies the optimal advertising medium based on the target audience's attribute information. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget, and automatically distributes the ads.

[1261] Step 7:

[1262] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time and stores this data in a database.

[1263] Step 8:

[1264] Users access a web dashboard via their device to view ad performance reports, and the server uses the performance data to optimize ad settings as needed.

[1265] This series of steps allows merchants to effectively create and distribute web advertisements.

[1266] Example 1

[1267] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1268] Conventional advertising creation and distribution systems have had the problem that it takes a great deal of time and effort for stores to create effective web advertisements and deliver them to the optimal target audience in a timely manner. As a result, the accuracy of the advertisements is low, and the expected advertising effect is often not achieved. In addition, the distribution to different advertising media and their management are complicated, placing a heavy burden on store operators. The objective of this invention is to solve these problems.

[1269] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1270] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to send the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using a generative AI model, means for the server to analyze the target audience of the advertisement, means for the server to suggest and manage optimal advertising media, and means for the server to monitor the effectiveness of the advertisement and provide reports. This enables stores to effectively create web advertisements and deliver them to the optimal target audience.

[1271] "User" refers to a person who inputs product information and operates the advertisement creation system.

[1272] "Product information" refers to data necessary for creating advertisements, such as product name, price, features, and target audience information.

[1273] The "means for providing an interface" refers to an input device such as a web form or application that allows a user to input product information.

[1274] "Terminal" refers to a device such as a PC or smartphone that a user uses to input product information and send it to a server.

[1275] "Server" refers to a computer system that receives and analyzes product information, generates advertising copy using a generative AI model, manages advertising placement, and monitors and reports on advertising effectiveness.

[1276] A "generative AI model" refers to an artificial intelligence system that generates advertising copy based on product information and selects the most appropriate copy.

[1277] "Means for analyzing advertising target audiences" refers to analytical devices that use past advertising data and market trend data to identify optimal target demographics.

[1278] "Means for proposing and managing advertising media" refers to a device for selecting the most suitable advertising media based on attribute information of the target audience, and for setting and managing the advertising schedule and budget.

[1279] "Means for monitoring the effectiveness of advertisements and providing reports" refers to a device for tracking and analyzing advertisement performance data in real time and providing the results to users.

[1280] This invention relates to a system that helps merchants create and distribute effective web advertisements. This system involves a series of processes: a user inputs product information, a generative AI model automatically generates advertising copy based on that information, and the system proposes and manages optimal target audiences and advertising media.

[1281] First, the user accesses a dedicated input form using a device such as a PC or smartphone. The user inputs the product name, price, features, and target audience information (e.g., young women, office workers, etc.). For example, the user might input the product name "Handmade Silver Necklace," the price "5,000 yen," the features "Simple and elegant," and the target audience "Women in their 20s and 30s."

[1282] Next, the terminal converts the input product information into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as the store ID and product ID.

[1283] The server receives the JSON data sent from the device, deserializes it, and extracts the necessary fields (product name, price, features, etc.). The extracted product information is passed to a generative AI model. The generative AI model generates multiple ad copy candidates based on the provided product information. For example, an ad copy such as "New handmade silver necklace, available at a special price!" is generated.

[1284] The generative AI model selects the best ad copy from the generated ones, and the server stores that copy in a database. The server then analyzes the target audience using past advertising data and market trend data. The generative AI model identifies the optimal target demographic based on attributes such as age, gender, region, and interests. For example, the server determines that "young women in their 20s and 30s" are the optimal target.

[1285] Next, the server identifies the optimal advertising medium (e.g., Instagram Ads or Facebook Ads) based on the target audience's attribute information. The server sets the advertising schedule and budget based on the recommendations and automatically distributes the ads. For example, it decides to distribute the ads through Instagram Ads and sets a schedule to distribute the ads at 10:00 a.m. every day.

[1286] Finally, the server monitors the ad performance data (click-through rate, conversion rate, etc.) in real time and analyzes the results. Users can view the ad performance report on a web dashboard accessible through their device. Based on this data, the server optimizes the ad settings as needed.

[1287] In this way, the present invention is a system that enables stores to effectively create web advertisements and distribute them to optimal target audiences, thereby improving the accuracy and effectiveness of advertisements. The above is a specific description of the embodiment for carrying out the present invention.

[1288] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1289] Step 1:

[1290] Users access a dedicated input form using a device such as a PC or smartphone. They input the product name, price, features, and target audience information. An example of input could be "Handmade silver necklace, 5,000 yen, simple and elegant, for women in their 20s and 30s." The input data is saved in the device's local storage.

[1291] Input: Product name, price, features, target audience information

[1292] Output: Product information stored in the device's local storage

[1293] Specific behavior: The user enters product information into each field of a web form and clicks the submit button.

[1294] Step 2:

[1295] The device converts the saved product information into JSON format and then sends the data to the server using the HTTPS protocol, including metadata such as the store ID and product ID.

[1296] Input: Product information saved on the device

[1297] Output: JSON data sent to the server

[1298] Specific operation: The terminal encodes the form input data into a JSON-formatted string and sends it to the server as an HTTPS request.

[1299] Step 3:

[1300] The server receives the JSON data sent from the device, deserializes it, extracts the necessary fields (product name, price, features, target audience information), and also extracts the store ID and product ID.

[1301] Input: JSON data sent from the terminal

[1302] Output: Each field of the deserialized product information

[1303] Specific operation: The server parses the JSON data and extracts the values ​​of each field.

[1304] Step 4:

[1305] The server passes the product information to the generative AI model, which generates multiple ad copy candidates based on the provided product information. For example, it might generate a message like, "New handmade silver necklace, simple and elegant design at this price!"

[1306] Input: Extracted product information

[1307] Output: Multiple ad copy candidates generated

[1308] Specific operation: The generative AI model generates advertising copy based on the input data and returns it to the server.

[1309] Step 5:

[1310] The generative AI model selects the best ad copy from the generated copy, and the server stores the selected copy in a database.

[1311] Input: Multiple generated ad copy candidates

[1312] Output: Best ad copy, ad copy stored in database

[1313] How it works: The generative AI model uses an evaluation algorithm to select the best ad copy, and the server stores the ad copy in a database.

[1314] Step 6:

[1315] The server analyzes target audiences using historical advertising data and market trend data, and a generative AI model identifies optimal targets based on attributes such as age, gender, location, and interests.

[1316] Input: Historical advertising data, market trend data

[1317] Output: Identified target audience

[1318] Specific operation: The server retrieves historical advertising data and market trend data from the database and analyzes them using machine learning algorithms.

[1319] Step 7:

[1320] The server identifies the optimal advertising medium based on the target audience's attribute information. The server then sets the advertising schedule and budget based on the proposal and automatically distributes the ads. For example, it decides to distribute ads through "Instagram Ads" and sets a schedule to distribute the ads at 10:00 AM every day.

[1321] Input: Attribute information of the identified target audience

[1322] Output: Ad posting schedule and delivered ads

[1323] Specific operation: The server uses an algorithm to select the optimal advertising medium, automatically set the advertising schedule, and distribute it.

[1324] Step 8:

[1325] The server monitors the performance data of the advertisements (click rates, conversion rates, etc.) in real time and analyzes the results. Users can check the performance report of the advertisements on a web dashboard via their device.

[1326] Input: Real-time ad performance data

[1327] Output: Ad performance report, analysis results

[1328] What it does: The server collects real-time data, uses analytical algorithms to evaluate performance, and displays the results on a web dashboard.

[1329] Through each of the above steps, the system enables stores to create effective web advertisements and deliver them to the optimal target audience.

[1330] (Application example 1)

[1331] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1332] It is complex and time-consuming for merchants to create effective web advertisements and distribute them to the appropriate target audience. It is also not easy to monitor the effectiveness of advertisements in real time and adjust them as needed. In this situation, there is a demand for a system that can efficiently create and distribute advertisements and monitor and manage their effectiveness.

[1333] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1334] In this invention, the server includes means for providing an interface for users to input product information, means for a terminal to transmit the product information to the server, means for the server to receive the product information and extract necessary data, means for the server to generate advertising copy using an AI module, means for the server to analyze the target audience of the advertisement, means for the server to propose and manage optimal advertising media, means for the server to monitor the effectiveness of the advertisement and provide a report, means for the user to efficiently create advertising copy and manage distribution via a smartphone application, and means for monitoring advertising performance data in real time and analyzing the data. This enables stores to effectively create and distribute web advertisements and monitor and manage their effectiveness in real time.

[1335] "Means for providing an interface for users to input product information" refers to system elements including web forms and input screens within applications that allow stores and individuals to input detailed product information.

[1336] The "means for the terminal to transmit the product information to the server" refers to a system function including a protocol and a communication module for transmitting the product information input by the user to the server via a network.

[1337] "Means for the server to receive the product information and extract the necessary data" refers to the processing function within the server to receive the transmitted product information and analyze and extract the necessary fields (product name, price, features, etc.).

[1338] The "means by which the server generates advertising copy using an AI module" refers to an element of a system that uses AI technology to automatically generate advertising copy based on product information.

[1339] The "means by which the server analyzes the target audience for the advertisement" refers to a function that includes analytical algorithms for identifying the optimal target demographic based on historical data and market trends.

[1340] "Means for the server to propose and manage the optimal advertising media" refers to the system's function for proposing and managing the most effective advertising platforms (e.g., social media, search engines, etc.) for a specified target demographic.

[1341] "Means for the server to monitor the effectiveness of advertisements and provide reports" refers to the system's function of collecting and analyzing performance data of delivered advertisements in real time and providing the results to users in the form of reports.

[1342] "A means for users to efficiently create advertising copy and manage distribution using a smartphone application" refers to the functionality of a dedicated application that allows users to efficiently create advertising copy and manage distribution schedules on their smartphones.

[1343] "Means for monitoring advertising performance data in real time and analyzing the data" refers to a system function that monitors performance data such as click rates and conversion rates in real time after an advertisement is delivered and analyzes that data.

[1344] This invention relates to a system that helps stores create and distribute effective web advertisements. Users input product information through a smartphone application, and an AI module automatically generates advertising copy based on that information, and the system includes a series of processes that suggest and manage optimal target audiences and advertising media. Specific embodiments for implementing this invention are described in detail below.

[1345] Hardware and software used

[1346] 1. Smartphone (iOS / Android)

[1347] This is a terminal where users can input product information and monitor the effectiveness of advertising.

[1348] 2. AI module (e.g. GPT-4)

[1349] It provides a function that generates multiple ad copy candidates based on product information and selects the most suitable ad copy.

[1350] 3. Backend server (AWS EC2, Node.js)

[1351] It has functions to receive product information, extract data, manage databases, send data to AI modules, propose and manage advertising media, and monitor advertising effectiveness.

[1352] 4. Database (MySQL)

[1353] Manage product information, generated ad copy, target audience information, performance data, etc.

[1354] 5. Advertising API (Instagram Ads API, Facebook Marketing API)

[1355] It provides an interface for delivering the produced advertising copy to a specified target audience.

[1356] Explaining program processing in natural language

[1357] 1. Enter product information

[1358] A user launches a smartphone application and enters information about a product (product name, price, features, target audience), which is converted into JSON format and sent to a backend server using the HTTPS protocol.

[1359] 2. Extracting data and sending it to the AI ​​module

[1360] The server deserializes the received JSON data and extracts the necessary fields (product name, price, features, etc.). The extracted data is passed to an AI module, which generates multiple ad copy candidates. The AI ​​module then selects the best copy from the generated ad copy and stores it in a database.

[1361] 3. Target audience analysis and advertising media recommendations

[1362] The server analyzes the target audience using past advertising data and market trend data. It identifies the optimal target audience based on attributes such as age group, gender, region, and interests, and then suggests the optimal advertising medium (e.g., Instagram Ads, Facebook Ads). It also sets the advertising schedule and budget and automatically distributes the ads.

[1363] 4. Monitoring advertising effectiveness and providing reports

[1364] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. Users can check advertising performance reports on a web dashboard via their smartphone. The server also optimizes advertising settings as needed based on this data.

[1365] Examples of concrete examples and prompts

[1366] The user enters information about a new product, "Handmade Silver Necklace." For example, the product name is "Handmade Silver Necklace," the price is "5,000 yen," the characteristics are "Simple and elegant," and the target is "Women in their 20s and 30s." This information is converted into JSON format and sent to the server via HTTPS.

[1367] Example prompt sentence:

[1368] Product Name: Handmade Silver Necklace

[1369] Price: 5,000 yen

[1370] Features: Simple and elegant

[1371] Target: Women in their 20s and 30s

[1372] As described above, the present invention enables stores to effectively create and distribute web advertisements, and to monitor and manage their effectiveness in real time.

[1373] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1374] Step 1:

[1375] Users launch the smartphone application and enter product information (product name, price, features, target audience) through the interface, which is then converted into JSON format within the app.

[1376] Input: Product information (e.g., product name "Handmade silver necklace", price "5,000 yen", characteristics "Simple and elegant", target "Women in their 20s and 30s")

[1377] Output: JSON format data

[1378] Step 2:

[1379] The terminal sends the converted JSON formatted data to the backend server using the HTTPS protocol.

[1380] Input: JSON format data

[1381] Output: Data transfer via HTTPS

[1382] Step 3:

[1383] The server deserializes the JSON data received via the HTTPS protocol and extracts the necessary fields, such as product name, price, features, target audience, etc. At this time, it breaks down the product information into individual fields and prepares them for storage in the database.

[1384] Input: JSON data via HTTPS

[1385] Output: Product data broken down into fields (product name, price, features, target audience)

[1386] Step 4:

[1387] The server passes the extracted product data to an AI module (e.g., GPT-4), which generates a number of ad copy candidates based on each data. The AI ​​module then selects the best ad copy from the generated candidates and stores the selected ad copy in a database.

[1388] Input: Product data (product name, price, features, target audience)

[1389] Output: Generated ad copy candidates, optimal ad copy (stored in database)

[1390] Step 5:

[1391] The server analyzes the target audience using past advertising data and market trend data, identifying the optimal target demographic based on demographic information such as age, gender, region, and interests.

[1392] Input: Historical advertising data, market trend data

[1393] Output: Attribute information of the identified target demographic

[1394] Step 6:

[1395] The server proposes the optimal advertising medium (e.g., Instagram Ads, Facebook Ads) based on the attribute information of the identified target audience. The server sets the advertising schedule and budget based on the proposal and automatically manages ad distribution.

[1396] Input: Target demographic information, ad copy

[1397] Output: Proposed advertising media, advertising schedule, budget setting

[1398] Step 7:

[1399] The server monitors and analyzes advertising performance data (click-through rate, conversion rate, etc.) in real time. The analysis results are provided to users via a web dashboard. Users can check the effectiveness of their ads in real time based on this data.

[1400] Input: Ad performance data (click-through rate, conversion rate, etc.)

[1401] Output: Analysis results, performance report (displayed on web dashboard)

[1402] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1403] This invention relates to a system that helps merchants create and distribute effective web advertisements. In particular, by combining an emotion engine that recognizes user emotions, it enables more precise generation of advertisement copy and analysis of target audiences. This system involves a series of processes in which users input product information, and the AI ​​module and emotion engine automatically generate advertisement copy based on that information, and propose and manage the optimal target audience and advertisement media.

[1404] Program processing explanation

[1405] 1. Enter store information

[1406] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information, including product name, price, features, and information about the target audience.

[1407] The emotion engine recognizes the user's emotions in real time as they input, and acquires emotional data, such as whether the user is happy, sad, excited, etc., through facial recognition and voice analysis.

[1408] 2. Data Transmission

[1409] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[1410] 3. Receiving and extracting data

[1411] The server deserializes the received JSON data and extracts the required data fields (product name, price, features, and sentiment data), which are then passed to the AI ​​module.

[1412] 4. Automatically generate ad copy

[1413] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module generates multiple ad copy candidates and selects the most appropriate one that appeals to the user's emotions. For example, it might generate ad copy such as, "New handmade silver necklace. Simple and elegant design at this price!"

[1414] 5. Target Audience Analysis

[1415] The server analyzes the target audience using historical advertising data and market trend data, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[1416] 6. Proposal and management of advertising media

[1417] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server sets the advertising schedule and budget and automatically distributes the ads.

[1418] 7. Monitoring advertising effectiveness and providing reports

[1419] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[1420] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[1421] Specific examples

[1422] 1. The user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "Simple and elegant," and the target audience as "Women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed state when entering information.

[1423] 2. The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[1424] 3. The server extracts the product name, price, features, and sentiment data and sends it to the AI ​​module.

[1425] 4. The AI ​​module on the server takes into account the emotional data and generates and selects the following advertising copy: "New handmade silver necklace, simple and elegant design, at this price!"

[1426] 5. The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[1427] 6. The server determines that Instagram Ads and Facebook Ads are the best fit for this target and schedules the ads to be delivered automatically.

[1428] 7. The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[1429] As described above, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and can further increase the effectiveness of advertisements by taking user emotions into consideration.

[1430] The processing flow will be explained below.

[1431] Step 1:

[1432] Users use their own devices (such as PCs or smartphones) to access a dedicated input form and enter product information. Input items include the product name, price, features, and information about the target audience. As users enter information, the emotion engine obtains emotional data (such as joy, sadness, excitement, etc.) through facial recognition and voice analysis.

[1433] Step 2:

[1434] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as the store ID and product ID.

[1435] Step 3:

[1436] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, sentiment data, etc.) This data is passed to the AI ​​module.

[1437] Step 4:

[1438] The server sends a request to the AI ​​module to generate ad copy based on product information and emotional data. The AI ​​module uses the emotional data to generate multiple ad copy candidates and selects the most suitable one from among them. For example, an ad copy such as "New handmade silver necklace. Simple and elegant design at a great price!" may be generated.

[1439] Step 5:

[1440] The server stores the generated ad copy in a database. The server also analyzes the target audience using past advertising data, market trend data, and sentiment data. The AI ​​module identifies the optimal target demographic by taking into account age, gender, region, interests, and sentiment data.

[1441] Step 6:

[1442] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" and "Facebook Ads." The server then sets the advertising schedule and budget and automatically distributes the ads.

[1443] Step 7:

[1444] The server monitors advertising performance data (click rates, conversion rates, etc.) in real time and stores it in a database. It also analyzes sentiment data at the same time to more precisely evaluate the effectiveness of advertising.

[1445] Step 8:

[1446] Users access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data, which the server uses to optimize ad settings as needed.

[1447] This series of steps allows merchants to create and deliver effective web advertisements that take user emotions into account.

[1448] Example 2

[1449] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1450] Conventional web advertising generation and distribution systems were unable to take user emotions into account when generating ad copy based on product information or analyzing target audiences. This made it difficult to generate effective ad copy that appealed to users' emotions and distribute it to the optimal target demographic. Furthermore, emotional data was not utilized to precisely evaluate the effectiveness of advertising. This limited the effectiveness of advertising, preventing advertisers from achieving satisfactory results.

[1451] The identification processing by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for the user to input product information and real-time emotion data; means for the terminal to transmit the product information and emotion data to the server; means for the server to receive the product information and emotion data and extract necessary data; means for the server to generate advertising copy using the product information and emotion data with an AI module; means for the server to analyze the target audience of the advertisement; means for the server to propose and manage optimal advertising media; and means for the server to monitor the effectiveness of the advertisement and provide a report. This enables the generation of effective advertising copy that takes user emotions into consideration and precise analysis of the target audience.

[1452] "User" refers to an individual or company that uses the system to input product information.

[1453] "Terminal" refers to a device (e.g., PC, smartphone, etc.) used by a user to input information.

[1454] "Server" refers to a central computer that receives, processes, and manages data sent from terminals.

[1455] "Product Information" refers to detailed product information entered by the User (e.g., product name, price, features, target audience, etc.).

[1456] "Interface" refers to the screen or form through which the user enters product information.

[1457] "Emotional Data" refers to data that measures and records a user's emotional state (e.g., happiness, sadness, excitement, relaxation, etc.) in real time.

[1458] "AI module" refers to an artificial intelligence algorithm that automatically generates advertising copy based on product information and emotional data.

[1459] "Ad copy" refers to a text message generated to promote a product.

[1460] "Target audience" refers to a specific demographic (e.g., age, gender, region, interests, etc.) that is targeted by advertising.

[1461] "Advertising medium" refers to a platform for delivering advertisements (e.g., Instagram Ads, Facebook Ads, etc.).

[1462] "Monitoring" refers to the real-time monitoring of advertising performance data (e.g., click-through rate, conversion rate, etc.).

[1463] "Report" refers to a report summarizing detailed analysis results based on advertising effectiveness and sentiment data.

[1464] This invention relates to a system that helps merchants create and distribute effective web advertisements. Specifically, it involves a series of processes in which users input product information, an AI module and an emotion engine automatically generate advertisement copy based on that information, and then propose and manage the optimal target audience and advertisement media.

[1465] The system includes the following hardware and software:

[1466] The device used by the user (e.g., PC, smartphone)

[1467] Server (a central computer that processes and manages data)

[1468] Emotion engine (function that analyzes user emotions in real time)

[1469] AI module (an algorithm that automatically generates ad copy using a generative AI model)

[1470] Specific implementation methods

[1471] Enter store information

[1472] Users access a dedicated input form using their own device (e.g., a PC or smartphone), which contains fields for entering information about the product name, price, features, and target audience.

[1473] The emotion engine uses real-time facial recognition and voice analysis while the user is typing to capture the user's emotional state, for example, determining whether the user is relaxed or excited.

[1474] Sending data

[1475] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The transmitted data also includes metadata such as product ID and store ID.

[1476] Receiving and extracting data

[1477] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. This data is then passed to the AI ​​module.

[1478] Auto-generated ad text

[1479] The server sends an ad copy generation request to the AI ​​module based on the extracted product information and emotion data. The AI ​​module uses the generative AI model to generate multiple ad copy candidates and selects the optimal ad copy that appeals to the user's emotions.

[1480] For example, the following ad copy might be generated: "New handmade silver necklace. Simple and elegant design at a great price!"

[1481] Target Audience Analysis

[1482] The server uses historical advertising data and market trend data to analyze the target audience, and an AI module considers age, gender, location, interests, and even emotional data to identify the optimal target demographic.

[1483] For example, the target audience may be identified as "relaxed women in their 20s and 30s."

[1484] Proposal and management of advertising media

[1485] The server identifies the most suitable advertising medium based on the target audience's attribute information and emotional data, suggesting, for example, "Instagram Ads" and "Facebook Ads."

[1486] Advertising schedules and budgets are also set on the server, and ads are delivered automatically.

[1487] Monitoring advertising effectiveness and providing reports

[1488] The server monitors advertising performance data (click-through rate, conversion rate, etc.) in real time, and also analyzes sentiment data to more precisely evaluate the effectiveness of advertising.

[1489] Users can access a web dashboard through their device to view ad performance reports and detailed analysis based on sentiment data.

[1490] Specific examples

[1491] The user inputs information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the characteristics as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the emotion engine recognizes that the user is in a relaxed emotional state.

[1492] The device converts this information and emotion data into JSON format and sends it to the server via HTTPS.

[1493] The server extracts product information and emotion data and sends it to the AI ​​module.

[1494] The AI ​​module in the server takes emotional data into consideration and generates and selects advertising copy such as, "New handmade silver necklace, simple and elegant design, at this price!"

[1495] The server uses historical and trend data, as well as emotional data, to identify the target audience as "relaxed women in their 20s and 30s."

[1496] The server determines that "Instagram Ads" and "Facebook Ads" are the most suitable and sets up a schedule to automatically deliver the ads.

[1497] The server monitors performance data such as click rates and conversion rates in real time, and also includes sentiment data in the analysis. Users can check the ad performance report and analysis results based on sentiment data through their devices.

[1498] In this way, the present invention provides a system that automates the process by which stores can effectively create and distribute web advertisements, and further enhances the effectiveness of advertisements by taking into account user emotions.

[1499] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1500] Step 1: User enters product information

[1501] Users access a dedicated input form using their own device (such as a PC or smartphone) and enter information about the product name, price, features, and target audience. The entered information is temporarily stored in the device's memory. At the same time, the device's emotion engine analyzes the user's facial expressions and voice as they enter information, and obtains emotional data such as joy, sadness, and relaxation.

[1502] Input: Product information (product name, price, features, target audience) and real-time user sentiment data

[1503] Output: Temporarily stored product information and sentiment data

[1504] Step 2: The device sends the data to the server

[1505] The device converts the input product information and emotion data into JSON format and sends it to the server using the HTTPS protocol. The data sent includes metadata such as product ID and store ID.

[1506] Input: Product information and emotion data (stored in the device's memory)

[1507] Output: JSON data sent to the server

[1508] Step 3: The server receives and extracts the data

[1509] The server receives the JSON data sent from the device, deserializes it, and extracts necessary fields such as product name, price, features, and sentiment data. The extracted data is checked for integrity before proceeding to the ad generation process using the AI ​​module.

[1510] Input: JSON data sent to the server

[1511] Output: Extracted product information and sentiment data

[1512] Step 4: The server automatically generates the ad copy

[1513] The server sends a request to the AI ​​module to generate ad copy based on the extracted product information and emotion data. The AI ​​module uses a generative AI model to generate multiple ad copy candidates. The optimal one is selected from the generated ad copy candidates, taking into account the emotion data.

[1514] Input: Product information and sentiment data

[1515] Output: Best ad copy selected

[1516] Step 5: The server analyzes the target audience

[1517] The server analyzes the target audience using past advertising data and market trend data, and the AI ​​module takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic, which is expected to maximize the effectiveness of advertising.

[1518] Input: Target audience demographics, sentiment data, past advertising data, market trend data

[1519] Output: Identified optimal target audience

[1520] Step 6: The server proposes and manages advertising media

[1521] The server identifies the optimal advertising medium based on the target audience's attribute information and emotional data. For example, it suggests "Instagram Ads" or "Facebook Ads." The server also sets the advertising schedule and budget, and automatically distributes the ads.

[1522] Input: Identified target audience, sentiment data

[1523] Output: Optimal advertising media, advertising distribution schedule

[1524] Step 7: The server monitors the effectiveness of the ad and provides a report

[1525] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time. At the same time, it analyzes sentiment data to more precisely evaluate the effectiveness of the ad. The generated performance report and detailed analysis results are provided to the user via a web dashboard.

[1526] Input: Real-time performance data, sentiment data

[1527] Output: Performance report, detailed analysis results

[1528] In this way, at each processing step, appropriate data processing and calculations are performed based on the input data, resulting in useful output data. By using this system, merchants can create and distribute effective web advertisements, and can also precisely evaluate the effectiveness of their advertisements.

[1529] (Application example 2)

[1530] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1531] In modern advertising, generating ad copy and optimizing target audiences while taking user emotions into account are key challenges. However, existing systems lack the means to effectively utilize emotional data, making it difficult to maximize advertising effectiveness. Furthermore, there is no established method for monitoring advertising effectiveness in real time and providing users with feedback based on emotional data. This makes it difficult to immediately improve advertising performance.

[1532] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1533] In this invention, the server includes means for providing an interface for users to input product information, means for the terminal to transmit the product information and user emotion data to the server, and means for the server to receive the product information and emotion data and extract necessary data, thereby enabling the generation of advertising copy and optimization of target audiences that take user emotions into consideration.

[1534] An "interface" is an operation screen or input means for a user to input product information.

[1535] A "terminal" is an electronic device, such as a PC, smartphone, or smart glasses, that a user uses to input and transmit information.

[1536] A "server" is a central processing unit that processes received data and performs tasks such as generating advertising copy, analyzing target audiences, and managing advertising media.

[1537] "Product Information" refers to information about the product name, price, features, and target audience.

[1538] "Emotional data" is data about the user's emotional state obtained through facial recognition, voice analysis, etc.

[1539] The "AI module" is a software module that uses artificial intelligence technology to analyze data, generate advertising copy, identify optimal target demographics, and more.

[1540] "Advertising copy" is text for advertising a product or service, and is generated based on product information and emotion data entered by the user.

[1541] A "target audience" is a demographic group of users who should receive a particular ad copy.

[1542] "Advertising media" refers to platforms or media for distributing generated advertisements, such as social media advertisements and website advertisements.

[1543] "Monitoring" refers to the act of monitoring the effectiveness of advertising in real time and collecting and analyzing performance data.

[1544] "Report" means a report summarizing the results of analysis based on advertising performance data and sentiment data, and is provided to users.

[1545] This invention relates to a system for generating and monitoring advertisements using user emotion data. The system is composed of the following parts:

[1546] 1. Interface

[1547] It provides an interface for users to enter product information. The interface consists of an input form displayed on a device such as a PC, smartphone, or smart glasses. The form includes fields for product name, price, features, and target audience.

[1548] 2. Terminal

[1549] The device is equipped with a function to acquire product information and user emotional data. The smart glasses or smartphone uses a camera and microphone to recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time, converts the acquired data into JSON format, and sends it to the server.

[1550] 3. Server

[1551] The server is responsible for:

[1552] Receiving and extracting data: Deserialize the received product information and sentiment data and extract the required fields.

[1553] Ad copy generation: The AI ​​module generates ad copy based on the extracted product information and emotional data. The AI ​​module generates multiple ad copy candidates based on the emotional data and selects the most appropriate one.

[1554] Target Audience Analysis: Optimize your target audience by taking into account past advertising data, market trend data, and sentiment data.

[1555] Proposing and managing advertising media: Based on the target audience's attribute information and emotional data, we propose the most suitable advertising media, and set and manage advertising delivery schedules and budgets.

[1556] Monitoring and Reporting: Monitors ad performance in real time and provides detailed analysis, including sentiment data, in reports that users can view through their device's web dashboard.

[1557] Specific examples

[1558] For example, a user enters information about a new product, "Handmade Silver Necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions (relaxed state) in real time and acquires emotional data. Based on this information, multiple ad copy candidates are generated, from which the following ad copy is selected: "New Handmade Silver Necklace. Simple and elegant design, at this price!"

[1559] Prompt Sentence Examples

[1560] "The user enters information about a new product, a "handmade silver necklace," setting the price at 5,000 yen, the features as "simple and elegant," and the target audience as "women in their 20s and 30s." At the same time, the smart glasses' emotion engine recognizes the user's emotions in real time and acquires emotional data (e.g., a relaxed state). Based on this information, generate multiple ad copy candidates and generate a prompt to select the most appropriate one."

[1561] The hardware used includes smart glasses, smartphones, and PCs, while the software includes AI modules, facial recognition systems, and voice analysis systems, enabling real-time emotional data acquisition and advertising optimization.

[1562] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1563] Step 1:

[1564] The user enters product information

[1565] Users use the interface of a PC, smartphone, or smart glasses to input product information (product name, price, features, target audience). The input information is temporarily stored in the device's memory. As the information is being input, the camera and microphone of the smart glasses or smartphone capture the user's emotional data. The facial recognition system and voice analysis system recognize the user's emotions (e.g., joy, sadness, excitement, etc.) in real time and store them as emotional data on the device.

[1566] Input data: Product information (product name, price, features, target audience) and sentiment data

[1567] Output data: JSON format data

[1568] Step 2:

[1569] Sending data from the device to the server

[1570] The device converts the input product information and emotion data into JSON format and sends it to the cloud server using the HTTPS protocol. At this time, in addition to the product information and emotion data, metadata such as the store ID and product ID are also sent.

[1571] Input data: JSON format data

[1572] Output data: Data sent to the cloud server

[1573] Step 3:

[1574] The server receives and extracts the data

[1575] The server deserializes the received JSON data and extracts the necessary data fields (product name, price, features, emotion data). The extracted data is stored in a database on the server and passed to the next processing step.

[1576] Input data: JSON data sent to the cloud server

[1577] Output data: Extracted data (product name, price, features, sentiment data)

[1578] Step 4:

[1579] The server generates the ad copy

[1580] The server uses an AI module to generate multiple ad copy candidates based on the extracted product information and emotion data. The AI ​​module considers the emotion data and selects the ad copy that best reflects the user's emotions. The selected ad copy is stored on the server.

[1581] Input data: extracted product information and sentiment data

[1582] Output data: Generated ad copy

[1583] Step 5:

[1584] The server analyzes the target audience

[1585] The server analyzes the target audience by taking into account past advertising data, market trend data, and emotional data. The AI ​​module then takes into account age, gender, region, interests, and even emotional data to identify the optimal target demographic.

[1586] Input data: historical advertising data, market trend data, sentiment data

[1587] Output data: Analyzed target audience

[1588] Step 6:

[1589] The server proposes and manages advertising media

[1590] The server then proposes the optimal advertising medium based on the analyzed target audience's attribute information and emotional data. For example, it may select "social media advertising" or "website advertising." The server also sets and manages the advertising distribution schedule and budget.

[1591] Input data: Analyzed target audience

[1592] Output data: Proposed advertising media, set distribution schedule and budget

[1593] Step 7:

[1594] The server monitors the effectiveness of the advertisement and provides a report

[1595] The server monitors ad performance data (click-through rate, conversion rate, etc.) in real time and generates detailed reports including sentiment data. Users can access a web dashboard via their device and check real-time analysis results based on ad performance and sentiment data.

[1596] Input data: advertising performance data, sentiment data

[1597] Output data: Generated reports, displayed in web dashboards

[1598] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1599] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1600] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1601] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1602] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1603] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1604] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1605] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1606] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1607] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1608] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1609] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1610] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1611] 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.

[1612] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1613] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1614] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1615] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1616] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1617] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1618] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1619] The following is further disclosed regarding the above embodiment.

[1620] (Claim 1)

[1621] means for providing an interface for a user to input product information;

[1622] means for the terminal to transmit the product information to a server;

[1623] A server receives the product information and extracts necessary data;

[1624] A means for the server to generate advertising copy using an AI module;

[1625] means for the server to analyze the target audience of the advertisement;

[1626] A means for the server to propose and manage optimal advertising media;

[1627] a means for the server to monitor the effectiveness of the advertisements and provide reports;

[1628] A system including:

[1629] (Claim 2)

[1630] The system of claim 1, wherein the AI ​​module generates multiple candidate ad copy based on product information and selects the most suitable ad copy.

[1631] (Claim 3)

[1632] 10. The system of claim 1, wherein the server analyzes the target audience using historical advertising data and market trend data.

[1633] "Example 1"

[1634] (Claim 1)

[1635] means for providing an interface for a user to input product information;

[1636] means for the terminal to transmit the product information to a server;

[1637] A server receives the product information and extracts necessary data;

[1638] A means for the server to generate advertising copy using a generation AI model;

[1639] means for the server to analyze the target audience of the advertisement;

[1640] A means for the server to propose and manage optimal advertising media;

[1641] a means for the server to monitor the effectiveness of the advertisements and provide reports;

[1642] A system including:

[1643] (Claim 2)

[1644] The system of claim 1, wherein the generative AI model generates multiple candidate ad copy based on product information and selects the most suitable ad copy.

[1645] (Claim 3)

[1646] 10. The system of claim 1, wherein the server analyzes the target audience using historical advertising data and market trend data.

[1647] "Application Example 1"

[1648] (Claim 1)

[1649] means for providing an interface for a user to input product information;

[1650] means for the terminal to transmit the product information to a server;

[1651] A server receives the product information and extracts necessary data;

[1652] A means for the server to generate advertising copy using an AI module;

[1653] means for the server to analyze the target audience of the advertisement;

[1654] A means for the server to propose and manage optimal advertising media;

[1655] a means for the server to monitor the effectiveness of the advertisements and provide reports;

[1656] A means for users to efficiently create and manage ad copy distribution using a smartphone application;

[1657] A means to monitor and analyze advertising performance data in real time;

[1658] A system including:

[1659] (Claim 2)

[1660] The system of claim 1, wherein the AI ​​module generates multiple candidate ad copy based on product information and selects the most suitable ad copy.

[1661] (Claim 3)

[1662] 10. The system of claim 1, wherein the server analyzes the target audience using historical advertising data and market trend data.

[1663] "Example 2: Combining Emotion Engines"

[1664] (Claim 1)

[1665] means for providing an interface for a user to input product information;

[1666] means for the terminal to transmit the product information and real-time emotion data to a server;

[1667] a server receiving the product information and emotion data and extracting necessary data;

[1668] A server uses an AI module to generate advertising copy using the product information and emotion data;

[1669] means for the server to analyze the target audience of the advertisement;

[1670] A means for the server to propose and manage optimal advertising media;

[1671] a means for the server to monitor the effectiveness of the advertisements and provide reports;

[1672] A system including:

[1673] (Claim 2)

[1674] The system of claim 1, wherein the AI ​​module generates multiple candidate advertising copy based on product information and emotional data, and selects the optimal advertising copy taking into account the emotional data.

[1675] (Claim 3)

[1676] 10. The system of claim 1, wherein the server analyzes the target audience using sentiment data in addition to historical advertising data and market trend data.

[1677] "Application example 2 when combining emotion engines"

[1678] (Claim 1)

[1679] means for providing an interface for a user to input product information;

[1680] means for transmitting the product information and user emotion data from the terminal to a server;

[1681] a server receiving the product information and emotion data and extracting necessary data;

[1682] A means for the server to generate advertising copy using an AI module and select the most suitable advertising copy by taking into consideration the emotional data;

[1683] a means for the server to analyze the target audience of the advertisement and identify the optimal target demographic taking into account the sentiment data;

[1684] A means for the server to propose and manage optimal advertising media;

[1685] A server monitors the effectiveness of the advertisement and provides a report based on the emotion data so that the user can view it;

[1686] A system including:

[1687] (Claim 2)

[1688] The system of claim 1, wherein the AI ​​module generates multiple ad copy candidates based on product information and emotional data and selects the most suitable ad copy.

[1689] (Claim 3)

[1690] 10. The system of claim 1, wherein the server analyzes the target audience using historical advertising data, market trend data, and taking into account sentiment data. [Explanation of symbols]

[1691] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for providing an interface for a user to input product information; means for the terminal to transmit the product information to a server; A server receives the product information and extracts necessary data; A means for the server to generate advertising copy using an AI module; means for the server to analyze the target audience of the advertisement; A means for the server to propose and manage optimal advertising media; a means for the server to monitor the effectiveness of the advertisements and provide reports; A system including:

2. The system according to claim 1, wherein the AI ​​module generates a plurality of candidate advertising copy based on product information and selects the most suitable advertising copy.

3. 10. The system of claim 1, wherein the server analyzes the target audience using historical advertising data and market trend data.

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