System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting information of an article or service; means for using a generation AI for generating an advertisement copy based on the information of the article or service; means for selecting an optimum advertisement placement media for distributing the advertisement copy to a target audience; and means for distributing the advertisement copy to the selected advertisement placement media.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Individual stores and small businesses lack expertise in advertising production and digital marketing, making it difficult to create, publish, and manage effective advertisements. Furthermore, the fees incurred by outsourcing to advertising agencies place a significant burden on advertising budgets. For this reason, stores need a way to efficiently create, publish, and manage advertisements, while minimizing costs and maximizing effectiveness. [Means for solving the problem]

[0005] This invention solves the above-mentioned problems with a system that includes a means for inputting product or service information, a means for using AI to generate advertising copy based on the product or service information, a means for selecting optimal advertising media for delivering the advertising copy to a target audience, and a means for delivering the advertising copy to the selected advertising media. Furthermore, this system can include a means for predicting the effectiveness of the advertising copy in real time and optimizing the advertising copy or advertising media, and a means for allowing a store to set an advertising budget and automatically adjusting advertising spending based on the advertising budget. This system allows stores to efficiently and effectively create, publish, and optimize advertisements without requiring specialized knowledge.

[0006] "Product or service information" refers to information that indicates the characteristics and details of products or services offered by stores or businesses.

[0007] "Generative AI" is a system that uses artificial intelligence technology to automatically generate advertising copy based on input information.

[0008] A "target audience" is a specific user group or market segment to which an advertisement is intended to be shown.

[0009] "Advertising medium" means the platform or channel (e.g., social media, search engine) used to deliver an advertisement.

[0010] "Ad copy" is the text of an ad automatically generated by the generation AI.

[0011] An "advertising budget" is the amount of money a store plans to spend on advertising.

[0012] "Real-time prediction" refers to instantly analyzing and predicting the effectiveness of an advertisement while it is being delivered.

[0013] "Optimization measures" are the process of improving advertising copy and advertising media based on the prediction results to increase effectiveness.

[0014] "Shop" refers to a small store that sells products or services. [Brief explanation of the drawings]

[0015] [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

[0016] 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.

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

[0018] 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).

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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."

[0023] [First embodiment]

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

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0030] 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.

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

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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."

[0036] 1. Introduction

[0037] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[0038] 2. System Configuration

[0039] The platform consists of the following main components:

[0040] A means to enter product or service information

[0041] A method for generating ad copy using generative AI

[0042] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0043] A means of distributing advertising copy to selected advertising media

[0044] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[0045] Optional automatic adjustment of advertising spending based on advertising budget

[0046] 3. System Operation

[0047] 1. Enter user information

[0048] Users access the platform using a device (computer or smartphone).

[0049] The user logs in to the platform's website and is taken to a screen where they can enter information about the product or service.

[0050] The user enters information about the product or service, such as its features, description, and price.

[0051] 2. Generating ad copy using generative AI

[0052] The server sends the product or service information entered by the user to the generation AI.

[0053] The generation AI generates ad copy based on the input information.

[0054] The server receives the generated advertising copy and provides it to the store.

[0055] 3. Target audience analysis and advertising media selection

[0056] The server performs processing to analyze the target audience based on the generated advertising copy.

[0057] Based on the analysis data, the server selects the advertising medium that is expected to have the greatest advertising effectiveness.

[0058] The server distributes the advertisement copy to the selected advertisement media.

[0059] 4. Advertising effectiveness prediction and optimization (optional)

[0060] As the advertisements are delivered, the server collects data to predict the effectiveness of the advertisements in real time.

[0061] If the effect is predicted to be low, the server optimizes the advertising copy and media.

[0062] By redistributing optimized ad copy, advertising effectiveness is maximized.

[0063] 5. Advertising budget management (optional)

[0064] Users set their advertising budget on the platform.

[0065] The server provides the option to automatically adjust advertising spending based on the set advertising budget.

[0066] This feature allows merchants to effectively manage their advertising costs.

[0067] 4. Specific Examples

[0068] Example 1: Creating an advertisement for fresh organic vegetables

[0069] 1. Enter user information

[0070] The user types in "fresh organic vegetables for sale."

[0071] 2. Generating ad copy using generative AI

[0072] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[0073] 3. Target audience analysis and advertising media selection

[0074] The server determines that social media is the best advertising medium and delivers the advertising copy.

[0075] 4. Advertising effectiveness prediction and optimization

[0076] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[0077] 5. Managing your advertising budget

[0078] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[0079] This system allows stores to easily create, publish, and manage effective web advertisements without requiring specialized knowledge.

[0080] The processing flow will be explained below.

[0081] Step 1:

[0082] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and authenticates the user. If authentication is successful, the user is taken to a screen where they can enter information about products and services.

[0083] Step 2:

[0084] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[0085] Step 3:

[0086] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[0087] Step 4:

[0088] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[0089] Step 5:

[0090] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[0091] Step 6:

[0092] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[0093] Step 7:

[0094] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[0095] Step 8:

[0096] The user sets an advertising budget on the platform. The server automatically adjusts advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[0097] Example 1

[0098] 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."

[0099] There is a lack of platforms that allow small businesses and small and medium-sized enterprises to effectively create, distribute, and manage online advertisements without specialized knowledge. This has led to a demand for a system that can handle everything from advertisement creation to targeting, distribution, effectiveness measurement, and optimization.

[0100] 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.

[0101] In this invention, the server includes a means for inputting product or service information, a means for using a generative AI model to generate advertising copy based on the product or service information, and a means for selecting the optimal advertising media for delivering the advertising copy to a target audience, thereby enabling the creation and delivery of effective web advertisements without specialized knowledge.

[0102] "Means for inputting product or service information" refers to an interface through which a user provides data such as product or service characteristics, descriptions, and prices to the system.

[0103] "Generative AI model" refers to artificial intelligence technology that automatically generates advertising copy based on input information.

[0104] "Target audience" refers to the specific user group or market segment to which an advertisement is directed.

[0105] "Advertising medium" refers to the channel or platform used to deliver an advertisement (e.g., social media, search engines, etc.).

[0106] "Means for predicting advertising effectiveness in real time and optimizing advertising copy or advertising media" refers to the function of evaluating advertising performance in real time and dynamically adjusting advertising copy and distribution channels based on the results.

[0107] "Means for setting an advertising budget and automatically adjusting advertising expenditures based on said advertising budget" refers to a function that automatically optimizes the costs of advertising expenditures based on a budget set by the user.

[0108] MODE FOR CARRYING OUT THE INVENTION

[0109] 1. Introduction

[0110] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[0111] 2. System Configuration

[0112] The platform consists of the following main components:

[0113] A means to enter product or service information

[0114] A method for generating ad copy using generative AI models

[0115] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0116] A means of distributing advertising copy to selected advertising media

[0117] A means of predicting advertising effectiveness in real time and optimizing advertising copy or advertising media (optional)

[0118] Optional automatic adjustment of advertising spending based on advertising budget

[0119] 3. System Operation

[0120] Users access the platform using a device (such as a computer or smartphone) and log in to their account from the login screen. This takes them to a screen where they can enter information such as the features, description, and price of the product or service. For example, they can enter information such as "Sale of fresh organic vegetables," "500 yen per bag," and "Nationwide delivery."

[0121] The server receives the product or service information entered by the user and sends that information to the generative AI model. The generative AI model (e.g., GPT-4) generates an ad copy based on the prompt, "Generate an effective ad copy for selling fresh organic vegetables for 500 yen." The generated ad copy will be, "Fresh organic vegetables delivered daily! Try them at a special price!" The server receives this ad copy and provides it to the user.

[0122] Next, the server analyzes the target audience based on the generated ad copy and past data. This analysis includes age group, hobbies, interests, etc. Furthermore, the server selects the advertising medium that is expected to have the highest advertising effectiveness based on the analytical data. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[0123] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium, maximizing the advertising effectiveness.

[0124] Users can set their advertising budget on the platform. For example, they can set an advertising budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget. This allows stores and small and medium-sized businesses to efficiently manage their advertising costs.

[0125] As a concrete example, let's take the process of creating an ad for fresh organic vegetables. The user enters "Fresh organic vegetables for sale," and the generative AI model generates the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!". Based on the analysis data, the server determines that social media is the best advertising medium and distributes the ad. It also predicts effectiveness in real time, optimizes the ad copy, and distributes it again. The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[0126] This allows shops and small and medium-sized businesses to easily create, publish, and manage effective web advertisements without the need for specialized knowledge.

[0127] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0128] Step 1: User accesses device and enters information

[0129] Users access the platform's website using a device such as a computer or smartphone, log in to their account, and enter information such as the features, description, and price of the product or service. For example, they can enter "fresh organic vegetables for sale," "500 yen per bag," and "nationwide delivery."

[0130] Input: Product or service information (e.g., "Selling fresh organic vegetables")

[0131] Output: Product or service data entered by the user

[0132] Step 2: The server receives the user input and sends it to the generative AI model

[0133] After receiving the product or service information entered by the user, the server sends the information to the generative AI model, which then generates a prompt to allow the AI ​​model to operate appropriately.

[0134] Example prompt: "Generate effective advertising copy for selling fresh organic vegetables for 500 yen."

[0135] Input: Product or service data entered by the user

[0136] Output: Prompts for the generative AI model and product or service information

[0137] Step 3: Generative AI model generates ad copy

[0138] The generative AI model generates ad copy based on the received prompt and product or service information, for example, "Fresh organic vegetables delivered daily! Try them at a special price!"

[0139] Input: Prompt statement and product or service information

[0140] Output: Generated ad copy

[0141] Step 4: The server receives the generated ad copy and provides it to the user

[0142] The server receives the ad copy generated by the generative AI model and provides it to the user, who can review it and modify it if necessary.

[0143] Input: Generated ad copy

[0144] Output: The ad copy served to the user

[0145] Step 5: The server analyzes the target audience and selects advertising media

[0146] The server analyzes the target audience based on the generated ad copy and past data. Furthermore, based on the analysis data, it selects the advertising medium that is expected to have the highest advertising effectiveness. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[0147] Input: Generated ad copy and historical data

[0148] Output: Selected advertising media and advertising copy to be distributed

[0149] Step 6: The server distributes the ad copy to the selected media

[0150] The server distributes the advertisement copy to the selected advertising medium (e.g., social media).

[0151] Input: Selected advertising media and advertising copy

[0152] Output: The ad copy that will actually be delivered

[0153] Step 7: The server predicts and optimizes advertising effectiveness in real time (optional)

[0154] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium.

[0155] Input: Actual ad copy and ad effectiveness data

[0156] Output: Optimized ad copy and distribution medium

[0157] Step 8: User sets advertising budget and server automatically adjusts advertising amount (optional)

[0158] Users set their advertising budget on the platform. For example, they set a budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget.

[0159] Input: User-defined advertising budget

[0160] Output: Automatically adjusted advertising expenditure

[0161] This means that small businesses and SMEs can easily create, publish, and manage effective web advertisements using generative AI technology, even if they do not have specialized knowledge.

[0162] (Application example 1)

[0163] 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."

[0164] In today's advertising industry, small businesses, especially small businesses, face the challenge of creating effective advertisements and delivering them to the right targets without specialized knowledge. Furthermore, understanding advertising effectiveness in real time and efficiently managing budgets are also key challenges. To address these challenges, a simple and effective advertising creation and delivery system is needed.

[0165] 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.

[0166] In this invention, the server includes means for inputting product or service information, means for using a generation AI to generate advertising copy based on the product or service information, means for selecting optimal advertising media for distributing the advertising copy to a target audience, means for distributing the advertising copy to the selected advertising media, means for providing a user interface operable on a smartphone, and means for setting up distribution to post the generated advertising copy. This enables even users without specialized knowledge to easily create effective advertisements and distribute them to their targets.

[0167] "Means for inputting product or service information" refers to an interface or device that allows a user to input the characteristics and details of their product or service.

[0168] "Generative AI" is artificial intelligence that automatically generates advertising copy based on input information using natural language processing technology.

[0169] "Advertising copy" is text used to promote products or services, and is automatically created by generative AI.

[0170] "Target audience" refers to the specific viewers or users for whom an advertisement is intended.

[0171] The "means for selecting the optimal advertising medium" refers to an algorithm or process that selects the optimal advertising venue, such as social media or a website, for the generated advertising copy.

[0172] "Advertising media" refers to the various media and platforms through which advertising copy is distributed.

[0173] The "means of delivery" refers to the interface or protocol used to actually deliver the advertising copy to the selected advertising media.

[0174] A "user interface" is an interactive environment that provides an operation screen or dashboard for direct user operation.

[0175] The "means for setting delivery settings" refers to a function or interface for setting the delivery schedule, budget, target audience, etc. of the generated ad copy.

[0176] "Budget management" is the process of automatically adjusting advertising spending and delivery efficiency based on the advertising budget set by the user.

[0177] "Real-time" refers to a situation in which data processing and feedback of results are almost instantaneous.

[0178] "Optimization" is the process of adjusting advertising copy and distribution media to suit the situation and maximize effectiveness.

[0179] System configuration

[0180] A system for implementing the present invention comprises the following major components:

[0181] A means to enter product or service information

[0182] A method for generating ad copy using generative AI

[0183] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0184] A means of distributing advertising copy to selected advertising media

[0185] A means for providing a user interface that can be operated on a smartphone

[0186] A method for setting up distribution to display generated ad copy

[0187] Hardware and Software

[0188] This system is configured using the following hardware and software:

[0189] Smartphone (iOS or Android)

[0190] Server (any server hardware)

[0191] User interface (smartphone app)

[0192] OpenAI API (Generation AI)

[0193] Ad serving platform API (e.g., Google Ads API, Facebook Ads API)

[0194] Flask framework (server side)

[0195] Data Processing Overview

[0196] Enter your product or service information:

[0197] Users use a smartphone app to input product or service information. For example, if you are selling fresh organic vegetables, you can enter specific information such as "fresh organic vegetables" or "offered at a special price" in text.

[0198] Generative AI-generated ad copy:

[0199] The server sends the product or service information entered by the user to the OpenAI API. The generation AI generates advertising copy for sales promotion based on the information provided. For example, the generated advertising copy might read, "Fresh organic vegetables delivered daily! Try them at a special price!"

[0200] Target audience analysis and advertising media selection:

[0201] The server uses an AI model to analyze the target audience based on the generated ad copy and select the optimal advertising medium. By analyzing the target audience's age group and interest range, the server determines the optimal advertising medium from social media and websites.

[0202] Ad copy delivery:

[0203] Users can set up distribution settings through a smartphone app, and the server distributes the ad copy to the selected advertising media. Users can also set the ad distribution schedule and budget on their smartphone.

[0204] Advertising effectiveness prediction and optimization (optional):

[0205] As the ad is delivered, the server collects real-time data and predicts its effectiveness. If it is determined to be ineffective, the AI ​​will generate a new ad copy and deliver it again.

[0206] Specific examples

[0207] If the user types in "fresh organic vegetables for sale," the prompt sent to the OpenAI API will look like this:

[0208] prompt:

[0209] Product Information: Fresh organic vegetables for sale

[0210] Generate catchy and selling ad copy based on the product information above.

[0211] This generates the ad copy, "Fresh organic vegetables delivered daily! Try it at a special price!"

[0212] The present invention enables even users without specialized knowledge to easily create effective advertisements and distribute them to targets.

[0213] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0214] Step 1: The user uses the terminal to enter product or service information.

[0215] Input: Product name, detailed description, price, and other information

[0216] Processing: Sends information entered through the user interface to the server.

[0217] Output: Product or service information is sent to the server.

[0218] Step 2: The server sends the entered product or service information to the generation AI.

[0219] Input: Product or service information entered by the user

[0220] Processing: The server creates a prompt and sends the information to the OpenAI API.

[0221] Output: Generative AI generates ad copy based on product or service information.

[0222] Step 3: The generation AI generates the ad copy and returns it to the server.

[0223] Input: Product or service information sent to the OpenAI API

[0224] Processing: The generative AI model generates ad copy based on the prompt.

[0225] Output: The generated ad copy is returned to the server.

[0226] Step 4: The server analyzes the target audience based on the generated ad copy and selects the most suitable advertising medium.

[0227] Input: Generated ad copy

[0228] Processing: The AI ​​model analyzes the content of the ad copy and predicts the target audience's age group and interests. Based on the analysis results, the advertising media is selected.

[0229] Output: A list of optimal advertising media

[0230] Step 5: The server distributes the advertisement copy to the advertisement media selected through the user interface.

[0231] Input: Selected advertising media, generated ad copy

[0232] Processing: The server calls the API of the ad distribution platform and distributes the ad copy. Distribution settings are made based on the distribution schedule and budget specified by the user.

[0233] Output: The ad copy is delivered to the selected advertising media.

[0234] Step 6: As the advertisement is delivered, the server collects real-time data and predicts the effectiveness of the advertisement.

[0235] Input: Ad delivery result data (number of clicks, number of impressions, etc.)

[0236] Processing: The server analyzes real-time data and predicts the effectiveness of the ad. If it is determined to be ineffective, the AI ​​generates a new ad copy.

[0237] Output: Newly generated ad copy (only if it is ineffective)

[0238] Step 7: The user sets an advertising budget and the advertising amount is automatically adjusted based on that budget.

[0239] Input: User-defined advertising budget

[0240] Processing: The server manages budget information and automatically adjusts advertising spending. Controls are implemented to prevent budget overruns.

[0241] Output: Optimal advertising amount within advertising budget

[0242] The above are the specific processing steps in the system of the present invention.

[0243] 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.

[0244] 1. Introduction

[0245] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. By utilizing generative AI technology and an emotion engine, the platform automatically generates advertising copy, analyzes target audiences, selects optimal advertising media, customizes advertising copy using user emotion data, and effectively manages advertising budgets. The following describes in detail specific embodiments of the present invention.

[0246] 2. System Configuration

[0247] The platform consists of the following main components:

[0248] A means to enter product or service information

[0249] A method for generating ad copy using generative AI

[0250] A means of recognizing user emotions using an emotion engine

[0251] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0252] A means of distributing advertising copy to selected advertising media

[0253] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[0254] A means for merchants to set their advertising budget and automatically adjust advertising expenditures based on that budget (optional)

[0255] 3. System Operation

[0256] 1. Enter user information

[0257] The user accesses the platform using a terminal. A login screen is displayed and the user enters login information. The server receives the login information and authenticates the user. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[0258] The user enters information such as product or service features, description, price, etc. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[0259] 2. Generating ad copy using generative AI

[0260] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[0261] 3. Emotional engine for recognizing user emotions

[0262] The server uses an emotion engine to collect emotion data from user inputs and interactions. The emotion engine analyzes data such as the user's facial expressions, voice tone, and input content to recognize emotions.

[0263] The recognized emotion data is stored on the server and used by the generative AI to customize advertising copy.

[0264] 4. Target audience analysis and advertising media selection

[0265] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[0266] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[0267] 5. Delivery of ad copy

[0268] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[0269] 6. Advertising effectiveness prediction and optimization (optional)

[0270] As the ad is distributed, the server collects data in real time to predict its effectiveness. If the predicted effectiveness is low, the server optimizes the ad copy and placement medium. For example, it may modify the ad copy to make it more appealing or change to a different ad placement medium. The optimized ad copy is then distributed again, and its effectiveness is monitored.

[0271] 7. Advertising budget management (optional)

[0272] Users set their advertising budget on the platform, and the server provides an option to automatically adjust advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[0273] 4. Specific Examples

[0274] Example 1: Creating an advertisement for fresh organic vegetables

[0275] 1. Enter user information

[0276] The user types in "fresh organic vegetables for sale."

[0277] 2. Generating ad copy using generative AI

[0278] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[0279] 3. Emotion engine for user emotion recognition and customization

[0280] The emotion engine analyzes the emotional data of users as they view the ad copy, and the generated ad copy is customized to elicit a positive response from users, for example by adding words and phrases that interest users.

[0281] 4. Target audience analysis and advertising media selection

[0282] The server determines that social media is the best advertising medium and delivers the advertising copy.

[0283] 5. Advertising effectiveness prediction and optimization

[0284] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[0285] 6. Managing your advertising budget

[0286] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[0287] This system allows merchants to easily create, publish, and manage effective web advertisements that take user emotions into consideration, without requiring specialized knowledge.

[0288] The processing flow will be explained below.

[0289] Step 1:

[0290] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and performs user authentication. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[0291] Step 2:

[0292] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[0293] Step 3:

[0294] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[0295] Step 4:

[0296] The server provides the advertisement copy to the user and collects emotional data when the user checks the advertisement copy using an emotion engine. The emotion engine analyzes data such as the user's facial expression, tone of voice, and input content to recognize emotions.

[0297] Step 5:

[0298] The server uses generative AI to customize ad copy based on the recognized emotion data, for example by adding words and phrases that users responded positively to.

[0299] Step 6:

[0300] The server then begins the process of analyzing the target audience based on the customized ad copy. The server uses historical advertising data and market data to analyze which audience is most suitable for this ad. The results of the analysis are stored on the server.

[0301] Step 7:

[0302] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[0303] Step 8:

[0304] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[0305] Step 9:

[0306] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[0307] Step 10:

[0308] The user sets an advertising budget on the platform. The server automatically adjusts advertising amounts based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[0309] Example 2

[0310] 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."

[0311] In today's world, it is difficult for small businesses and small and medium-sized enterprises to create, distribute, and optimize effective web advertisements, as this requires specialized knowledge. Furthermore, the lack of a means to customize ad copy using emotional data makes it difficult to create advertisements that appeal to users. Given this background, there is a demand for a platform that allows even non-specialized users to easily create, distribute, and optimize effective advertisements.

[0312] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0313] In this invention, the server includes means for inputting product or service data, means for utilizing a generation AI to generate advertising copy based on the product or service data, means for utilizing an emotion engine to recognize emotions based on the generated advertising copy and user operation data, means for selecting optimal advertising distribution media for delivering the advertising copy to a target audience, and means for delivering the advertising copy to the selected advertising distribution media. This enables even users without specialized knowledge to easily generate effective online advertisements based on emotions, deliver them to appropriate audiences, and further optimize their effectiveness in real time.

[0314] "Product or Service Data" refers to information such as product features, descriptions, and prices of products provided by Users.

[0315] "Generative AI" refers to artificial intelligence technology that automatically generates advertising copy based on input data.

[0316] An "emotion engine" refers to technology that analyzes user operation data (facial expressions, tone of voice, input content, etc.) and recognizes emotions.

[0317] "Advertising Delivery Medium" refers to the internet platform or channel (e.g., social media, search engines, etc.) through which the generated advertising copy is delivered to the target audience.

[0318] "Target audience" refers to the group of users with a particular age group, geographic location, or interests that a particular ad copy is intended to appeal to.

[0319] "Advertising amount" refers to the portion of the advertising budget paid to deliver an advertisement.

[0320] "Real-time prediction" refers to technology that instantly evaluates and analyzes the effectiveness of an advertisement while it is being delivered, and obtains results.

[0321] "Ad copy optimization" refers to the process of adjusting and improving the content of ad copy and distribution media in order to increase the effectiveness of advertising.

[0322] This invention relates to a platform that enables small businesses and small and medium-sized enterprises to easily create, distribute, and optimize effective web advertisements. This platform utilizes generative AI and an emotion engine to automatically generate advertisement copy, analyze target audiences, select optimal advertisement distribution media, predict and optimize advertising effectiveness in real time, and automatically manage advertising budgets.

[0323] 1. Platform Configuration

[0324] The platform consists of the following main components:

[0325] A means of entering product or service data

[0326] A method for generating ad copy using generative AI

[0327] A means of recognizing user emotions using an emotion engine

[0328] A method for selecting the optimal advertising delivery medium to deliver advertising copy to the target audience

[0329] A means of distributing advertising copy to selected advertising media

[0330] A means to predict and optimize ad copy effectiveness in real time (optional)

[0331] A means to set advertising budgets and automatically adjust advertising spending (optional)

[0332] 2. Hardware and Software Used

[0333] Hardware

[0334] Devices: PC, smartphone

[0335] Server: Cloud server

[0336] software

[0337] web browser: interface through which a user enters information

[0338] Server authentication system: A system for performing user authentication.

[0339] Generative AI model: Artificial intelligence for automatically generating ad copy, such as OpenAI's GPT-4

[0340] Emotion engine: Software for recognizing user emotions, such as Affectiva's SDK

[0341] Advertisement distribution system: A system for distributing ad copy (e.g., Facebook API)

[0342] Budget control system: a system for managing advertising budgets

[0343] Database: A system for storing user information, product information, advertising copy, emotional data, advertising effectiveness data, etc.

[0344] 3. Examples of Platform Operation

[0345] Example 1: Creating an advertisement for fresh organic vegetables

[0346] 1. Enter user information

[0347] Users access the platform using a PC or smartphone and enter their login information. The server performs user authentication, and if successful, the user is redirected to a product information input screen.

[0348] The user types in "fresh organic vegetables for sale," then fills in the product description and price. Once the input is complete, the user clicks the "Send" button, and the device sends the information to the server.

[0349] 2. Generating ad copy using generative AI

[0350] The server sends the received product information to a generation AI (e.g., GPT-4), which then generates an ad copy such as, "Fresh organic vegetables delivered every day! Try them at a special price!" The generated ad copy is stored on the server.

[0351] 3. Emotion engine for user emotion recognition and customization

[0352] When a user reviews an ad copy, the server uses an emotion engine (e.g., Affectiva) to analyze the user's facial expressions and tone of voice to recognize emotional data, and customizes the ad copy based on this data.

[0353] For example, add words or phrases that users respond positively to.

[0354] 4. Target audience analysis and advertising media selection

[0355] The server refers to past advertising data and market data to analyze the target audience, and then selects the optimal advertising delivery medium (e.g., Facebook, Instagram).

[0356] 5. Delivery of ad copy

[0357] The server distributes the advertisement copy to the selected advertisement distribution media. After distribution, the server collects and stores advertisement performance data in real time.

[0358] 6. Advertising effectiveness prediction and optimization (optional)

[0359] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy and distribution medium as necessary, for example by changing the wording of the advertisement copy or switching to a different advertisement distribution medium.

[0360] 7. Advertising budget management (optional)

[0361] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending based on the budget.

[0362] Prompt Sentence Examples

[0363] Here are some examples of prompts that can be used to generate specific ad copy for the AI:

[0364] "Create an ad for fresh organic vegetables. The feature is that they deliver fresh vegetables every day and you can try them at a special price."

[0365] This platform allows users to easily generate, distribute, and manage effective web advertisements that utilize emotional data, even if they do not have specialized knowledge.

[0366] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0367] Step 1:

[0368] Users access the platform using a device such as a PC or smartphone and enter their login information.

[0369] Input: Username, Password

[0370] Data processing: The server receives the login information and authenticates the user by referencing the database.

[0371] Output: Authentication success message (if successful), error message (if unsuccessful)

[0372] Specifically, the user opens a web browser, accesses the platform URL, enters their username and password in the login form, and clicks the submit button. If authentication is successful, the server transitions to the product information input screen.

[0373] Step 2:

[0374] The user enters product or service data.

[0375] Input: Product name, product features, description, price

[0376] Data processing: The terminal sends the entered product data to the server, which then stores the data in a database.

[0377] Output: Product data saving completion message

[0378] Specifically, the user enters information such as the product name "Fresh organic vegetables," the description "Fresh vegetables delivered every day," and the price "1,000 yen," and clicks the "Submit" button.

[0379] Step 3:

[0380] The server sends the received product information to the generation AI.

[0381] Input: Product data

[0382] Data processing: The server sends the product data to a generative AI (e.g., GPT-4), and the generative AI model generates advertising copy based on the input data.

[0383] Output: Generated ad text

[0384] The server sends a prompt containing product information to the generative AI model, which then generates and returns the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!"

[0385] Step 4:

[0386] The server recognizes emotions using an emotion engine based on the generated advertising copy and user operation data.

[0387] Input: Ad copy, user operation data (facial expressions, tone of voice, input content)

[0388] Data processing: The server sends the data to the emotion engine, which analyzes it and recognizes the emotion data.

[0389] Output: Recognized emotion data

[0390] Specifically, the emotion engine analyzes the user's facial expressions and tone of voice when reviewing the advertisement copy, and returns positive emotion data to the server.

[0391] Step 5:

[0392] The server analyzes the target audience and selects the optimal advertising delivery medium.

[0393] Input: Ad copy, historical ad data, market data

[0394] Data processing: The server analyzes this data and selects the optimal target audience and advertising delivery medium.

[0395] Output: Target audience analysis results, advertising media selection results

[0396] Specifically, the server determines that Facebook is the best distribution medium based on past data that shows that women in their 30s and 40s are highly interested in organic vegetables.

[0397] Step 6:

[0398] The server distributes the advertisement copy to the selected advertisement distribution medium.

[0399] Input: Ad copy, selected ad distribution medium

[0400] Data processing: The server sends the advertising copy to the advertising distribution medium and collects data on the distribution status.

[0401] Output: Delivery status data, performance data

[0402] Specifically, the server distributes the ad copy via the Facebook API and collects performance data such as the number of clicks and impressions in real time.

[0403] Step 7:

[0404] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy or distribution medium as necessary.

[0405] Input: Ad performance data

[0406] Data processing: The server analyzes performance data and optimizes the ad copy and distribution media if the effect is low.

[0407] Output: Optimized ad copy, distribution medium

[0408] Specifically, the server optimizes ad copy with low click-through rates by adding keywords such as "limited time offer" and delivers it again.

[0409] Step 8:

[0410] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending.

[0411] Input: Advertising budget setting data

[0412] Data processing: The server automatically adjusts advertising amounts based on the set advertising budget.

[0413] Output: Adjusted ad spend

[0414] Specifically, the user sets an advertising budget of 30,000 yen, and the server adjusts the amount of advertising to achieve maximum effectiveness within that budget.

[0415] (Application example 2)

[0416] 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."

[0417] Currently, creating and distributing effective web advertisements requires specialized knowledge and advanced technology, consuming significant resources. This makes it difficult for retailers and small businesses to independently publish and manage effective advertisements. Furthermore, reflecting user sentiment in advertising copy requires even more advanced technology, which is costly and time-consuming. To address this situation, the present invention aims to provide a system that enables small businesses and small businesses to efficiently and effectively create and distribute advertisements.

[0418] 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.

[0419] In this invention, the server includes a means for inputting product or service information, a means for utilizing a generation AI to generate advertising copy based on the product or service information, and a means for utilizing an emotion engine to analyze user emotions and optimize the advertising copy. This enables small and medium-sized enterprises and small shops to effectively generate advertising copy and place optimal advertisements based on user emotions, even without advanced specialized knowledge.

[0420] "Product or service information" refers to detailed information about the products or services provided by the user, such as features, descriptions, and prices.

[0421] "Generative AI" refers to artificial intelligence that automatically generates advertising copy based on product or service information.

[0422] An "emotion engine" is a system that analyzes data such as a user's facial expressions, tone of voice, and input content to recognize emotions, and uses this information to optimize advertising copy.

[0423] A "target audience" is a specific group of consumers that an advertisement is intended to reach.

[0424] "Advertising medium" refers to the medium or platform used to distribute advertising copy, such as a social media site or website.

[0425] "Ad copy" is text used to promote a product or service, and is generated by AI.

[0426] An "advertising budget" is the amount of money a store or company sets for advertising purposes.

[0427] The "advertising expenditure" is the amount of money actually used to place an advertisement based on the set advertising budget.

[0428] "Advertising effectiveness" refers to the impact and response of an advertisement on the target audience, and is an indicator that measures the success and efficiency of an advertisement.

[0429] "Real-time prediction" means instantly evaluating the effectiveness of ads as they are delivered and optimizing them as needed.

[0430] The present invention provides a system that enables small and medium-sized enterprises and small shops to easily create and distribute effective web advertisements. Specific embodiments of the system are described below.

[0431] System Components

[0432] 1. A means of entering product or service information

[0433] Users use devices such as smartphones and computers to input information about the products and services they offer, including product features, descriptions, and prices.

[0434] 2. Generating ad copy using generative AI

[0435] The server automatically generates ad copy using a generation AI based on the input product information. This generation AI uses the text generation library "textgenrnn." The generated ad copy is returned to the server and saved.

[0436] 3. A method for recognizing user emotions using an emotion engine

[0437] The server uses an emotion analysis API to recognize the user's emotions. It analyzes data such as the user's facial expressions, tone of voice, and input content when checking the ad copy to obtain the user's emotional data. This emotional data is used to optimize the ad copy.

[0438] 4. A method for selecting the best advertising media to deliver your ad copy to your target audience.

[0439] The server selects the optimal advertising media based on the emotion data and advertising copy, using past advertising data and market data.

[0440] 5. Means of distributing advertising copy to selected advertising media

[0441] The server distributes the ad copy to the selected advertising media, for example, by posting the ad copy on social media sites or websites.

[0442] Hardware and Software

[0443] Hardware: The device used by the user (smartphone, PC, etc.) and the server for generating ad copy and analyzing sentiment.

[0444] Software: Generative AI model (textgenrnn), sentiment analysis API

[0445] Specific examples

[0446] Advertising for fresh organic vegetables

[0447] 1. Enter product information

[0448] The user uses the terminal to enter "fresh organic vegetables, fresh daily, special prices."

[0449] 2. Generating ad copy using generative AI

[0450] The server sends the information to the AI ​​generator, which then generates the ad copy: "We deliver fresh organic vegetables every day! Try them now at a special price!"

[0451] 3. Emotion engine for user emotion recognition and customization

[0452] Use sentiment analysis API to analyze the sentiment of users when they view ad copy and optimize the ad copy, for example, by adding words that indicate positive sentiment.

[0453] 4. Target audience analysis and advertising media selection

[0454] The server determines that social media is the best advertising medium and delivers the ad copy there.

[0455] 5. Delivery of ad copy

[0456] The server distributes the advertisement copy to the selected social media.

[0457] Prompt Sentence Examples

[0458] "Fresh organic vegetables delivered daily! Try it now at a special price! (Emotional data: Positive, Advertising medium: Social media)"

[0459] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0460] Step 1:

[0461] The user uses a terminal to access a screen for entering product or service information. The input screen contains items such as product features, description, and price, and the user enters this information. The entered information is sent to the server by clicking the "Send" button. The input at this point is text data such as product features, description, and price. The output is the text data of the product information received by the server.

[0462] Step 2:

[0463] The server sends data to the generation AI based on the received product information. The generation AI model (textgenrnn) analyzes the text data to generate ad copy based on this information. The generated ad copy is returned to the server and saved. The input is text data of the product information, and the output is text data of the generated ad copy.

[0464] Step 3:

[0465] After the ad copy is generated, the server uses an emotion engine to recognize the user's emotions. Using an emotion analysis API, the server analyzes the user's facial expression data, voice tone, and input content when reviewing the ad copy to obtain emotion data. The analysis results are stored on the server as emotion data. The input is the user's reaction data when reviewing the ad copy, and the output is emotion data.

[0466] Step 4:

[0467] The server customizes the ad copy based on the emotion data. As a result of the emotion analysis, optimization is performed, such as adding words that indicate positive emotions from users to the ad copy. The optimized ad copy is saved on the server. The input is emotion data and the text data of the ad copy, and the output is the optimized text data of the ad copy.

[0468] Step 5:

[0469] The server analyzes the target audience based on the optimized ad copy and selects the optimal advertising medium using past advertising data and market data. The selected advertising medium can be social media or a website. The input is the text data of the optimized ad copy, past advertising data, and market data, and the output is information on the selected advertising medium.

[0470] Step 6:

[0471] The server distributes the ad copy to the selected advertising media, for example by posting the ad copy on a social media site. After distribution, the server collects performance data of the ad and analyzes the advertising effectiveness in real time. The input is information about the selected advertising media and the text data of the ad copy, and the output is the performance data of the ad.

[0472] Step 7:

[0473] After an ad is delivered, the server predicts its effectiveness in real time and optimizes the ad copy and media as necessary. For example, it may modify the ad copy or change to a different media. The optimized ad copy is then delivered again and its effectiveness is monitored. The input is the ad performance data, and the output is the optimized ad copy and the selected media.

[0474] 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.

[0475] 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.

[0476] 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.

[0477] [Second embodiment]

[0478] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0479] 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.

[0480] 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).

[0481] 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.

[0482] 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.

[0483] 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).

[0484] 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.

[0485] 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.

[0486] 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.

[0487] 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.

[0488] 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.

[0489] 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."

[0490] 1. Introduction

[0491] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[0492] 2. System Configuration

[0493] The platform consists of the following main components:

[0494] A means to enter product or service information

[0495] A method for generating ad copy using generative AI

[0496] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0497] A means of distributing advertising copy to selected advertising media

[0498] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[0499] Optional automatic adjustment of advertising spending based on advertising budget

[0500] 3. System Operation

[0501] 1. Enter user information

[0502] Users access the platform using a device (computer or smartphone).

[0503] The user logs in to the platform's website and is taken to a screen where they can enter information about the product or service.

[0504] The user enters information about the product or service, such as its features, description, and price.

[0505] 2. Generating ad copy using generative AI

[0506] The server sends the product or service information entered by the user to the generation AI.

[0507] The generation AI generates ad copy based on the input information.

[0508] The server receives the generated advertising copy and provides it to the store.

[0509] 3. Target audience analysis and advertising media selection

[0510] The server performs processing to analyze the target audience based on the generated advertising copy.

[0511] Based on the analysis data, the server selects the advertising medium that is expected to have the greatest advertising effectiveness.

[0512] The server distributes the advertisement copy to the selected advertisement media.

[0513] 4. Advertising effectiveness prediction and optimization (optional)

[0514] As the advertisements are delivered, the server collects data to predict the effectiveness of the advertisements in real time.

[0515] If the effect is predicted to be low, the server optimizes the advertising copy and media.

[0516] By redistributing optimized ad copy, advertising effectiveness is maximized.

[0517] 5. Advertising budget management (optional)

[0518] Users set their advertising budget on the platform.

[0519] The server provides the option to automatically adjust advertising spending based on the set advertising budget.

[0520] This feature allows merchants to effectively manage their advertising costs.

[0521] 4. Specific Examples

[0522] Example 1: Creating an advertisement for fresh organic vegetables

[0523] 1. Enter user information

[0524] The user types in "fresh organic vegetables for sale."

[0525] 2. Generating ad copy using generative AI

[0526] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[0527] 3. Target audience analysis and advertising media selection

[0528] The server determines that social media is the best advertising medium and delivers the advertising copy.

[0529] 4. Advertising effectiveness prediction and optimization

[0530] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[0531] 5. Managing your advertising budget

[0532] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[0533] This system allows stores to easily create, publish, and manage effective web advertisements without requiring specialized knowledge.

[0534] The processing flow will be explained below.

[0535] Step 1:

[0536] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and authenticates the user. If authentication is successful, the user is taken to a screen where they can enter information about products and services.

[0537] Step 2:

[0538] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[0539] Step 3:

[0540] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[0541] Step 4:

[0542] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[0543] Step 5:

[0544] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[0545] Step 6:

[0546] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[0547] Step 7:

[0548] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[0549] Step 8:

[0550] The user sets an advertising budget on the platform. The server automatically adjusts advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[0551] Example 1

[0552] 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."

[0553] There is a lack of platforms that allow small businesses and small and medium-sized enterprises to effectively create, distribute, and manage online advertisements without specialized knowledge. This has led to a demand for a system that can handle everything from advertisement creation to targeting, distribution, effectiveness measurement, and optimization.

[0554] 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.

[0555] In this invention, the server includes a means for inputting product or service information, a means for using a generative AI model to generate advertising copy based on the product or service information, and a means for selecting the optimal advertising media for delivering the advertising copy to a target audience, thereby enabling the creation and delivery of effective web advertisements without specialized knowledge.

[0556] "Means for inputting product or service information" refers to an interface through which a user provides data such as product or service characteristics, descriptions, and prices to the system.

[0557] "Generative AI model" refers to artificial intelligence technology that automatically generates advertising copy based on input information.

[0558] "Target audience" refers to the specific user group or market segment to which an advertisement is directed.

[0559] "Advertising medium" refers to the channel or platform used to deliver an advertisement (e.g., social media, search engines, etc.).

[0560] "Means for predicting advertising effectiveness in real time and optimizing advertising copy or advertising media" refers to the function of evaluating advertising performance in real time and dynamically adjusting advertising copy and distribution channels based on the results.

[0561] "Means for setting an advertising budget and automatically adjusting advertising expenditures based on said advertising budget" refers to a function that automatically optimizes the costs of advertising expenditures based on a budget set by the user.

[0562] MODE FOR CARRYING OUT THE INVENTION

[0563] 1. Introduction

[0564] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[0565] 2. System Configuration

[0566] The platform consists of the following main components:

[0567] A means to enter product or service information

[0568] A method for generating ad copy using generative AI models

[0569] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0570] A means of distributing advertising copy to selected advertising media

[0571] A means of predicting advertising effectiveness in real time and optimizing advertising copy or advertising media (optional)

[0572] Optional automatic adjustment of advertising spending based on advertising budget

[0573] 3. System Operation

[0574] Users access the platform using a device (such as a computer or smartphone) and log in to their account from the login screen. This takes them to a screen where they can enter information such as the features, description, and price of the product or service. For example, they can enter information such as "Sale of fresh organic vegetables," "500 yen per bag," and "Nationwide delivery."

[0575] The server receives the product or service information entered by the user and sends that information to the generative AI model. The generative AI model (e.g., GPT-4) generates an ad copy based on the prompt, "Generate an effective ad copy for selling fresh organic vegetables for 500 yen." The generated ad copy will be, "Fresh organic vegetables delivered daily! Try them at a special price!" The server receives this ad copy and provides it to the user.

[0576] Next, the server analyzes the target audience based on the generated ad copy and past data. This analysis includes age group, hobbies, interests, etc. Furthermore, the server selects the advertising medium that is expected to have the highest advertising effectiveness based on the analytical data. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[0577] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium, maximizing the advertising effectiveness.

[0578] Users can set their advertising budget on the platform. For example, they can set an advertising budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget. This allows stores and small and medium-sized businesses to efficiently manage their advertising costs.

[0579] As a concrete example, let's take the process of creating an ad for fresh organic vegetables. The user enters "Fresh organic vegetables for sale," and the generative AI model generates the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!". Based on the analysis data, the server determines that social media is the best advertising medium and distributes the ad. It also predicts effectiveness in real time, optimizes the ad copy, and distributes it again. The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[0580] This allows shops and small and medium-sized businesses to easily create, publish, and manage effective web advertisements without the need for specialized knowledge.

[0581] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0582] Step 1: User accesses device and enters information

[0583] Users access the platform's website using a device such as a computer or smartphone, log in to their account, and enter information such as the features, description, and price of the product or service. For example, they can enter "fresh organic vegetables for sale," "500 yen per bag," and "nationwide delivery."

[0584] Input: Product or service information (e.g., "Selling fresh organic vegetables")

[0585] Output: Product or service data entered by the user

[0586] Step 2: The server receives the user input and sends it to the generative AI model

[0587] After receiving the product or service information entered by the user, the server sends the information to the generative AI model, which then generates a prompt to allow the AI ​​model to operate appropriately.

[0588] Example prompt: "Generate effective advertising copy for selling fresh organic vegetables for 500 yen."

[0589] Input: Product or service data entered by the user

[0590] Output: Prompts for the generative AI model and product or service information

[0591] Step 3: Generative AI model generates ad copy

[0592] The generative AI model generates ad copy based on the received prompt and product or service information, for example, "Fresh organic vegetables delivered daily! Try them at a special price!"

[0593] Input: Prompt statement and product or service information

[0594] Output: Generated ad copy

[0595] Step 4: The server receives the generated ad copy and provides it to the user

[0596] The server receives the ad copy generated by the generative AI model and provides it to the user, who can review it and modify it if necessary.

[0597] Input: Generated ad copy

[0598] Output: The ad copy served to the user

[0599] Step 5: The server analyzes the target audience and selects advertising media

[0600] The server analyzes the target audience based on the generated ad copy and past data. Furthermore, based on the analysis data, it selects the advertising medium that is expected to have the highest advertising effectiveness. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[0601] Input: Generated ad copy and historical data

[0602] Output: Selected advertising media and advertising copy to be distributed

[0603] Step 6: The server distributes the ad copy to the selected media

[0604] The server distributes the advertisement copy to the selected advertising medium (e.g., social media).

[0605] Input: Selected advertising media and advertising copy

[0606] Output: The ad copy that will actually be delivered

[0607] Step 7: The server predicts and optimizes advertising effectiveness in real time (optional)

[0608] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium.

[0609] Input: Actual ad copy and ad effectiveness data

[0610] Output: Optimized ad copy and distribution medium

[0611] Step 8: User sets advertising budget and server automatically adjusts advertising amount (optional)

[0612] Users set their advertising budget on the platform. For example, they set a budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget.

[0613] Input: User-defined advertising budget

[0614] Output: Automatically adjusted advertising expenditure

[0615] This means that small businesses and SMEs can easily create, publish, and manage effective web advertisements using generative AI technology, even if they do not have specialized knowledge.

[0616] (Application example 1)

[0617] 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."

[0618] In today's advertising industry, small businesses, especially small businesses, face the challenge of creating effective advertisements and delivering them to the right targets without specialized knowledge. Furthermore, understanding advertising effectiveness in real time and efficiently managing budgets are also key challenges. To address these challenges, a simple and effective advertising creation and delivery system is needed.

[0619] 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.

[0620] In this invention, the server includes means for inputting product or service information, means for using a generation AI to generate advertising copy based on the product or service information, means for selecting optimal advertising media for distributing the advertising copy to a target audience, means for distributing the advertising copy to the selected advertising media, means for providing a user interface operable on a smartphone, and means for setting up distribution to post the generated advertising copy. This enables even users without specialized knowledge to easily create effective advertisements and distribute them to their targets.

[0621] "Means for inputting product or service information" refers to an interface or device that allows a user to input the characteristics and details of their product or service.

[0622] "Generative AI" is artificial intelligence that automatically generates advertising copy based on input information using natural language processing technology.

[0623] "Advertising copy" is text used to promote products or services, and is automatically created by generative AI.

[0624] "Target audience" refers to the specific viewers or users for whom an advertisement is intended.

[0625] The "means for selecting the optimal advertising medium" refers to an algorithm or process that selects the optimal advertising venue, such as social media or a website, for the generated advertising copy.

[0626] "Advertising media" refers to the various media and platforms through which advertising copy is distributed.

[0627] The "means of delivery" refers to the interface or protocol used to actually deliver the advertising copy to the selected advertising media.

[0628] A "user interface" is an interactive environment that provides an operation screen or dashboard for direct user operation.

[0629] The "means for setting delivery settings" refers to a function or interface for setting the delivery schedule, budget, target audience, etc. of the generated ad copy.

[0630] "Budget management" is the process of automatically adjusting advertising spending and delivery efficiency based on the advertising budget set by the user.

[0631] "Real-time" refers to a situation in which data processing and feedback of results are almost instantaneous.

[0632] "Optimization" is the process of adjusting advertising copy and distribution media to suit the situation and maximize effectiveness.

[0633] System configuration

[0634] A system for implementing the present invention comprises the following major components:

[0635] A means to enter product or service information

[0636] A method for generating ad copy using generative AI

[0637] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0638] A means of distributing advertising copy to selected advertising media

[0639] A means for providing a user interface that can be operated on a smartphone

[0640] A method for setting up distribution to display generated ad copy

[0641] Hardware and Software

[0642] This system is configured using the following hardware and software:

[0643] Smartphone (iOS or Android)

[0644] Server (any server hardware)

[0645] User interface (smartphone app)

[0646] OpenAI API (Generation AI)

[0647] Ad serving platform API (e.g., Google Ads API, Facebook Ads API)

[0648] Flask framework (server side)

[0649] Data Processing Overview

[0650] Enter your product or service information:

[0651] Users use a smartphone app to input product or service information. For example, if you are selling fresh organic vegetables, you can enter specific information such as "fresh organic vegetables" or "offered at a special price" in text.

[0652] Generative AI-generated ad copy:

[0653] The server sends the product or service information entered by the user to the OpenAI API. The generation AI generates advertising copy for sales promotion based on the information provided. For example, the generated advertising copy might read, "Fresh organic vegetables delivered daily! Try them at a special price!"

[0654] Target audience analysis and advertising media selection:

[0655] The server uses an AI model to analyze the target audience based on the generated ad copy and select the optimal advertising medium. By analyzing the target audience's age group and interest range, the server determines the optimal advertising medium from social media and websites.

[0656] Ad copy delivery:

[0657] Users can set up distribution settings through a smartphone app, and the server distributes the ad copy to the selected advertising media. Users can also set the ad distribution schedule and budget on their smartphone.

[0658] Advertising effectiveness prediction and optimization (optional):

[0659] As the ad is delivered, the server collects real-time data and predicts its effectiveness. If it is determined to be ineffective, the AI ​​will generate a new ad copy and deliver it again.

[0660] Specific examples

[0661] If the user types in "fresh organic vegetables for sale," the prompt sent to the OpenAI API will look like this:

[0662] prompt:

[0663] Product Information: Fresh organic vegetables for sale

[0664] Generate catchy and selling ad copy based on the product information above.

[0665] This generates the ad copy, "Fresh organic vegetables delivered daily! Try it at a special price!"

[0666] The present invention enables even users without specialized knowledge to easily create effective advertisements and distribute them to targets.

[0667] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0668] Step 1: The user uses the terminal to enter product or service information.

[0669] Input: Product name, detailed description, price, and other information

[0670] Processing: Sends information entered through the user interface to the server.

[0671] Output: Product or service information is sent to the server.

[0672] Step 2: The server sends the entered product or service information to the generation AI.

[0673] Input: Product or service information entered by the user

[0674] Processing: The server creates a prompt and sends the information to the OpenAI API.

[0675] Output: Generative AI generates ad copy based on product or service information.

[0676] Step 3: The generation AI generates the ad copy and returns it to the server.

[0677] Input: Product or service information sent to the OpenAI API

[0678] Processing: The generative AI model generates ad copy based on the prompt.

[0679] Output: The generated ad copy is returned to the server.

[0680] Step 4: The server analyzes the target audience based on the generated ad copy and selects the most suitable advertising medium.

[0681] Input: Generated ad copy

[0682] Processing: The AI ​​model analyzes the content of the ad copy and predicts the target audience's age group and interests. Based on the analysis results, the advertising media is selected.

[0683] Output: A list of optimal advertising media

[0684] Step 5: The server distributes the advertisement copy to the advertisement media selected through the user interface.

[0685] Input: Selected advertising media, generated ad copy

[0686] Processing: The server calls the API of the ad distribution platform and distributes the ad copy. Distribution settings are made based on the distribution schedule and budget specified by the user.

[0687] Output: The ad copy is delivered to the selected advertising media.

[0688] Step 6: As the advertisement is delivered, the server collects real-time data and predicts the effectiveness of the advertisement.

[0689] Input: Ad delivery result data (number of clicks, number of impressions, etc.)

[0690] Processing: The server analyzes real-time data and predicts the effectiveness of the ad. If it is determined to be ineffective, the AI ​​generates a new ad copy.

[0691] Output: Newly generated ad copy (only if it is ineffective)

[0692] Step 7: The user sets an advertising budget and the advertising amount is automatically adjusted based on that budget.

[0693] Input: User-defined advertising budget

[0694] Processing: The server manages budget information and automatically adjusts advertising spending. Controls are implemented to prevent budget overruns.

[0695] Output: Optimal advertising amount within advertising budget

[0696] The above are the specific processing steps in the system of the present invention.

[0697] 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.

[0698] 1. Introduction

[0699] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. By utilizing generative AI technology and an emotion engine, the platform automatically generates advertising copy, analyzes target audiences, selects optimal advertising media, customizes advertising copy using user emotion data, and effectively manages advertising budgets. The following describes in detail specific embodiments of the present invention.

[0700] 2. System Configuration

[0701] The platform consists of the following main components:

[0702] A means to enter product or service information

[0703] A method for generating ad copy using generative AI

[0704] A means of recognizing user emotions using an emotion engine

[0705] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0706] A means of distributing advertising copy to selected advertising media

[0707] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[0708] A means for merchants to set their advertising budget and automatically adjust advertising expenditures based on that budget (optional)

[0709] 3. System Operation

[0710] 1. Enter user information

[0711] The user accesses the platform using a terminal. A login screen is displayed and the user enters login information. The server receives the login information and authenticates the user. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[0712] The user enters information such as product or service features, description, price, etc. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[0713] 2. Generating ad copy using generative AI

[0714] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[0715] 3. Emotional engine for recognizing user emotions

[0716] The server uses an emotion engine to collect emotion data from user inputs and interactions. The emotion engine analyzes data such as the user's facial expressions, voice tone, and input content to recognize emotions.

[0717] The recognized emotion data is stored on the server and used by the generative AI to customize advertising copy.

[0718] 4. Target audience analysis and advertising media selection

[0719] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[0720] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[0721] 5. Delivery of ad copy

[0722] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[0723] 6. Advertising effectiveness prediction and optimization (optional)

[0724] As the ad is distributed, the server collects data in real time to predict its effectiveness. If the predicted effectiveness is low, the server optimizes the ad copy and placement medium. For example, it may modify the ad copy to make it more appealing or change to a different ad placement medium. The optimized ad copy is then distributed again, and its effectiveness is monitored.

[0725] 7. Advertising budget management (optional)

[0726] Users set their advertising budget on the platform, and the server provides an option to automatically adjust advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[0727] 4. Specific Examples

[0728] Example 1: Creating an advertisement for fresh organic vegetables

[0729] 1. Enter user information

[0730] The user types in "fresh organic vegetables for sale."

[0731] 2. Generating ad copy using generative AI

[0732] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[0733] 3. Emotion engine for user emotion recognition and customization

[0734] The emotion engine analyzes the emotional data of users as they view the ad copy, and the generated ad copy is customized to elicit a positive response from users, for example by adding words and phrases that interest users.

[0735] 4. Target audience analysis and advertising media selection

[0736] The server determines that social media is the best advertising medium and delivers the advertising copy.

[0737] 5. Advertising effectiveness prediction and optimization

[0738] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[0739] 6. Managing your advertising budget

[0740] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[0741] This system allows merchants to easily create, publish, and manage effective web advertisements that take user emotions into consideration, without requiring specialized knowledge.

[0742] The processing flow will be explained below.

[0743] Step 1:

[0744] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and performs user authentication. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[0745] Step 2:

[0746] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[0747] Step 3:

[0748] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[0749] Step 4:

[0750] The server provides the advertisement copy to the user and collects emotional data when the user checks the advertisement copy using an emotion engine. The emotion engine analyzes data such as the user's facial expression, tone of voice, and input content to recognize emotions.

[0751] Step 5:

[0752] The server uses generative AI to customize ad copy based on the recognized emotion data, for example by adding words and phrases that users responded positively to.

[0753] Step 6:

[0754] The server then begins the process of analyzing the target audience based on the customized ad copy. The server uses historical advertising data and market data to analyze which audience is most suitable for this ad. The results of the analysis are stored on the server.

[0755] Step 7:

[0756] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[0757] Step 8:

[0758] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[0759] Step 9:

[0760] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[0761] Step 10:

[0762] The user sets an advertising budget on the platform. The server automatically adjusts advertising amounts based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[0763] Example 2

[0764] 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."

[0765] In today's world, it is difficult for small businesses and small and medium-sized enterprises to create, distribute, and optimize effective web advertisements, as this requires specialized knowledge. Furthermore, the lack of a means to customize ad copy using emotional data makes it difficult to create advertisements that appeal to users. Given this background, there is a demand for a platform that allows even non-specialized users to easily create, distribute, and optimize effective advertisements.

[0766] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0767] In this invention, the server includes means for inputting product or service data, means for utilizing a generation AI to generate advertising copy based on the product or service data, means for utilizing an emotion engine to recognize emotions based on the generated advertising copy and user operation data, means for selecting optimal advertising distribution media for delivering the advertising copy to a target audience, and means for delivering the advertising copy to the selected advertising distribution media. This enables even users without specialized knowledge to easily generate effective online advertisements based on emotions, deliver them to appropriate audiences, and further optimize their effectiveness in real time.

[0768] "Product or Service Data" refers to information such as product features, descriptions, and prices of products provided by Users.

[0769] "Generative AI" refers to artificial intelligence technology that automatically generates advertising copy based on input data.

[0770] An "emotion engine" refers to technology that analyzes user operation data (facial expressions, tone of voice, input content, etc.) and recognizes emotions.

[0771] "Advertising Delivery Medium" refers to the internet platform or channel (e.g., social media, search engines, etc.) through which the generated advertising copy is delivered to the target audience.

[0772] "Target audience" refers to the group of users with a particular age group, geographic location, or interests that a particular ad copy is intended to appeal to.

[0773] "Advertising amount" refers to the portion of the advertising budget paid to deliver an advertisement.

[0774] "Real-time prediction" refers to technology that instantly evaluates and analyzes the effectiveness of an advertisement while it is being delivered, and obtains results.

[0775] "Ad copy optimization" refers to the process of adjusting and improving the content of ad copy and distribution media in order to increase the effectiveness of advertising.

[0776] This invention relates to a platform that enables small businesses and small and medium-sized enterprises to easily create, distribute, and optimize effective web advertisements. This platform utilizes generative AI and an emotion engine to automatically generate advertisement copy, analyze target audiences, select optimal advertisement distribution media, predict and optimize advertising effectiveness in real time, and automatically manage advertising budgets.

[0777] 1. Platform Configuration

[0778] The platform consists of the following main components:

[0779] A means of entering product or service data

[0780] A method for generating ad copy using generative AI

[0781] A means of recognizing user emotions using an emotion engine

[0782] A method for selecting the optimal advertising delivery medium to deliver advertising copy to the target audience

[0783] A means of distributing advertising copy to selected advertising media

[0784] A means to predict and optimize ad copy effectiveness in real time (optional)

[0785] A means to set advertising budgets and automatically adjust advertising spending (optional)

[0786] 2. Hardware and Software Used

[0787] Hardware

[0788] Devices: PC, smartphone

[0789] Server: Cloud server

[0790] software

[0791] web browser: interface through which a user enters information

[0792] Server authentication system: A system for performing user authentication.

[0793] Generative AI model: Artificial intelligence for automatically generating ad copy, such as OpenAI's GPT-4

[0794] Emotion engine: Software for recognizing user emotions, such as Affectiva's SDK

[0795] Advertisement distribution system: A system for distributing ad copy (e.g., Facebook API)

[0796] Budget control system: a system for managing advertising budgets

[0797] Database: A system for storing user information, product information, advertising copy, emotional data, advertising effectiveness data, etc.

[0798] 3. Examples of Platform Operation

[0799] Example 1: Creating an advertisement for fresh organic vegetables

[0800] 1. Enter user information

[0801] Users access the platform using a PC or smartphone and enter their login information. The server performs user authentication, and if successful, the user is redirected to a product information input screen.

[0802] The user types in "fresh organic vegetables for sale," then fills in the product description and price. Once the input is complete, the user clicks the "Send" button, and the device sends the information to the server.

[0803] 2. Generating ad copy using generative AI

[0804] The server sends the received product information to a generation AI (e.g., GPT-4), which then generates an ad copy such as, "Fresh organic vegetables delivered every day! Try them at a special price!" The generated ad copy is stored on the server.

[0805] 3. Emotion engine for user emotion recognition and customization

[0806] When a user reviews an ad copy, the server uses an emotion engine (e.g., Affectiva) to analyze the user's facial expressions and tone of voice to recognize emotional data, and customizes the ad copy based on this data.

[0807] For example, add words or phrases that users respond positively to.

[0808] 4. Target audience analysis and advertising media selection

[0809] The server refers to past advertising data and market data to analyze the target audience, and then selects the optimal advertising delivery medium (e.g., Facebook, Instagram).

[0810] 5. Delivery of ad copy

[0811] The server distributes the advertisement copy to the selected advertisement distribution media. After distribution, the server collects and stores advertisement performance data in real time.

[0812] 6. Advertising effectiveness prediction and optimization (optional)

[0813] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy and distribution medium as necessary, for example by changing the wording of the advertisement copy or switching to a different advertisement distribution medium.

[0814] 7. Advertising budget management (optional)

[0815] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending based on the budget.

[0816] Prompt Sentence Examples

[0817] Here are some examples of prompts that can be used to generate specific ad copy for the AI:

[0818] "Create an ad for fresh organic vegetables. The feature is that they deliver fresh vegetables every day and you can try them at a special price."

[0819] This platform allows users to easily generate, distribute, and manage effective web advertisements that utilize emotional data, even if they do not have specialized knowledge.

[0820] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0821] Step 1:

[0822] Users access the platform using a device such as a PC or smartphone and enter their login information.

[0823] Input: Username, Password

[0824] Data processing: The server receives the login information and authenticates the user by referencing the database.

[0825] Output: Authentication success message (if successful), error message (if unsuccessful)

[0826] Specifically, the user opens a web browser, accesses the platform URL, enters their username and password in the login form, and clicks the submit button. If authentication is successful, the server transitions to the product information input screen.

[0827] Step 2:

[0828] The user enters product or service data.

[0829] Input: Product name, product features, description, price

[0830] Data processing: The terminal sends the entered product data to the server, which then stores the data in a database.

[0831] Output: Product data saving completion message

[0832] Specifically, the user enters information such as the product name "Fresh organic vegetables," the description "Fresh vegetables delivered every day," and the price "1,000 yen," and clicks the "Submit" button.

[0833] Step 3:

[0834] The server sends the received product information to the generation AI.

[0835] Input: Product data

[0836] Data processing: The server sends the product data to a generative AI (e.g., GPT-4), and the generative AI model generates advertising copy based on the input data.

[0837] Output: Generated ad text

[0838] The server sends a prompt containing product information to the generative AI model, which then generates and returns the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!"

[0839] Step 4:

[0840] The server recognizes emotions using an emotion engine based on the generated advertising copy and user operation data.

[0841] Input: Ad copy, user operation data (facial expressions, tone of voice, input content)

[0842] Data processing: The server sends the data to the emotion engine, which analyzes it and recognizes the emotion data.

[0843] Output: Recognized emotion data

[0844] Specifically, the emotion engine analyzes the user's facial expressions and tone of voice when reviewing the advertisement copy, and returns positive emotion data to the server.

[0845] Step 5:

[0846] The server analyzes the target audience and selects the optimal advertising delivery medium.

[0847] Input: Ad copy, historical ad data, market data

[0848] Data processing: The server analyzes this data and selects the optimal target audience and advertising delivery medium.

[0849] Output: Target audience analysis results, advertising media selection results

[0850] Specifically, the server determines that Facebook is the best distribution medium based on past data that shows that women in their 30s and 40s are highly interested in organic vegetables.

[0851] Step 6:

[0852] The server distributes the advertisement copy to the selected advertisement distribution medium.

[0853] Input: Ad copy, selected ad distribution medium

[0854] Data processing: The server sends the advertising copy to the advertising distribution medium and collects data on the distribution status.

[0855] Output: Delivery status data, performance data

[0856] Specifically, the server distributes the ad copy via the Facebook API and collects performance data such as the number of clicks and impressions in real time.

[0857] Step 7:

[0858] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy or distribution medium as necessary.

[0859] Input: Ad performance data

[0860] Data processing: The server analyzes performance data and optimizes the ad copy and distribution media if the effect is low.

[0861] Output: Optimized ad copy, distribution medium

[0862] Specifically, the server optimizes ad copy with low click-through rates by adding keywords such as "limited time offer" and delivers it again.

[0863] Step 8:

[0864] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending.

[0865] Input: Advertising budget setting data

[0866] Data processing: The server automatically adjusts advertising amounts based on the set advertising budget.

[0867] Output: Adjusted ad spend

[0868] Specifically, the user sets an advertising budget of 30,000 yen, and the server adjusts the amount of advertising to achieve maximum effectiveness within that budget.

[0869] (Application example 2)

[0870] 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."

[0871] Currently, creating and distributing effective web advertisements requires specialized knowledge and advanced technology, consuming significant resources. This makes it difficult for retailers and small businesses to independently publish and manage effective advertisements. Furthermore, reflecting user sentiment in advertising copy requires even more advanced technology, which is costly and time-consuming. To address this situation, the present invention aims to provide a system that enables small businesses and small businesses to efficiently and effectively create and distribute advertisements.

[0872] 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.

[0873] In this invention, the server includes a means for inputting product or service information, a means for utilizing a generation AI to generate advertising copy based on the product or service information, and a means for utilizing an emotion engine to analyze user emotions and optimize the advertising copy. This enables small and medium-sized enterprises and small shops to effectively generate advertising copy and place optimal advertisements based on user emotions, even without advanced specialized knowledge.

[0874] "Product or service information" refers to detailed information about the products or services provided by the user, such as features, descriptions, and prices.

[0875] "Generative AI" refers to artificial intelligence that automatically generates advertising copy based on product or service information.

[0876] An "emotion engine" is a system that analyzes data such as a user's facial expressions, tone of voice, and input content to recognize emotions, and uses this information to optimize advertising copy.

[0877] A "target audience" is a specific group of consumers that an advertisement is intended to reach.

[0878] "Advertising medium" refers to the medium or platform used to distribute advertising copy, such as a social media site or website.

[0879] "Ad copy" is text used to promote a product or service, and is generated by AI.

[0880] An "advertising budget" is the amount of money a store or company sets for advertising purposes.

[0881] The "advertising expenditure" is the amount of money actually used to place an advertisement based on the set advertising budget.

[0882] "Advertising effectiveness" refers to the impact and response of an advertisement on the target audience, and is an indicator that measures the success and efficiency of an advertisement.

[0883] "Real-time prediction" means instantly evaluating the effectiveness of ads as they are delivered and optimizing them as needed.

[0884] The present invention provides a system that enables small and medium-sized enterprises and small shops to easily create and distribute effective web advertisements. Specific embodiments of the system are described below.

[0885] System Components

[0886] 1. A means of entering product or service information

[0887] Users use devices such as smartphones and computers to input information about the products and services they offer, including product features, descriptions, and prices.

[0888] 2. Generating ad copy using generative AI

[0889] The server automatically generates ad copy using a generation AI based on the input product information. This generation AI uses the text generation library "textgenrnn." The generated ad copy is returned to the server and saved.

[0890] 3. A method for recognizing user emotions using an emotion engine

[0891] The server uses an emotion analysis API to recognize the user's emotions. It analyzes data such as the user's facial expressions, tone of voice, and input content when checking the ad copy to obtain the user's emotional data. This emotional data is used to optimize the ad copy.

[0892] 4. A method for selecting the best advertising media to deliver your ad copy to your target audience.

[0893] The server selects the optimal advertising media based on the emotion data and advertising copy, using past advertising data and market data.

[0894] 5. Means of distributing advertising copy to selected advertising media

[0895] The server distributes the ad copy to the selected advertising media, for example, by posting the ad copy on social media sites or websites.

[0896] Hardware and Software

[0897] Hardware: The device used by the user (smartphone, PC, etc.) and the server for generating ad copy and analyzing sentiment.

[0898] Software: Generative AI model (textgenrnn), sentiment analysis API

[0899] Specific examples

[0900] Advertising for fresh organic vegetables

[0901] 1. Enter product information

[0902] The user uses the terminal to enter "fresh organic vegetables, fresh daily, special prices."

[0903] 2. Generating ad copy using generative AI

[0904] The server sends the information to the AI ​​generator, which then generates the ad copy: "We deliver fresh organic vegetables every day! Try them now at a special price!"

[0905] 3. Emotion engine for user emotion recognition and customization

[0906] Use sentiment analysis API to analyze the sentiment of users when they view ad copy and optimize the ad copy, for example, by adding words that indicate positive sentiment.

[0907] 4. Target audience analysis and advertising media selection

[0908] The server determines that social media is the best advertising medium and delivers the ad copy there.

[0909] 5. Delivery of ad copy

[0910] The server distributes the advertisement copy to the selected social media.

[0911] Prompt Sentence Examples

[0912] "Fresh organic vegetables delivered daily! Try it now at a special price! (Emotional data: Positive, Advertising medium: Social media)"

[0913] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0914] Step 1:

[0915] The user uses a terminal to access a screen for entering product or service information. The input screen contains items such as product features, description, and price, and the user enters this information. The entered information is sent to the server by clicking the "Send" button. The input at this point is text data such as product features, description, and price. The output is the text data of the product information received by the server.

[0916] Step 2:

[0917] The server sends data to the generation AI based on the received product information. The generation AI model (textgenrnn) analyzes the text data to generate ad copy based on this information. The generated ad copy is returned to the server and saved. The input is text data of the product information, and the output is text data of the generated ad copy.

[0918] Step 3:

[0919] After the ad copy is generated, the server uses an emotion engine to recognize the user's emotions. Using an emotion analysis API, the server analyzes the user's facial expression data, voice tone, and input content when reviewing the ad copy to obtain emotion data. The analysis results are stored on the server as emotion data. The input is the user's reaction data when reviewing the ad copy, and the output is emotion data.

[0920] Step 4:

[0921] The server customizes the ad copy based on the emotion data. As a result of the emotion analysis, optimization is performed, such as adding words that indicate positive emotions from users to the ad copy. The optimized ad copy is saved on the server. The input is emotion data and the text data of the ad copy, and the output is the optimized text data of the ad copy.

[0922] Step 5:

[0923] The server analyzes the target audience based on the optimized ad copy and selects the optimal advertising medium using past advertising data and market data. The selected advertising medium can be social media or a website. The input is the text data of the optimized ad copy, past advertising data, and market data, and the output is information on the selected advertising medium.

[0924] Step 6:

[0925] The server distributes the ad copy to the selected advertising media, for example by posting the ad copy on a social media site. After distribution, the server collects performance data of the ad and analyzes the advertising effectiveness in real time. The input is information about the selected advertising media and the text data of the ad copy, and the output is the performance data of the ad.

[0926] Step 7:

[0927] After an ad is delivered, the server predicts its effectiveness in real time and optimizes the ad copy and media as necessary. For example, it may modify the ad copy or change to a different media. The optimized ad copy is then delivered again and its effectiveness is monitored. The input is the ad performance data, and the output is the optimized ad copy and the selected media.

[0928] 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.

[0929] 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.

[0930] 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.

[0931] [Third embodiment]

[0932] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0933] 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.

[0934] 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).

[0935] 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.

[0936] 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.

[0937] 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).

[0938] 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.

[0939] 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.

[0940] 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.

[0941] 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.

[0942] 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.

[0943] 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."

[0944] 1. Introduction

[0945] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[0946] 2. System Configuration

[0947] The platform consists of the following main components:

[0948] A means to enter product or service information

[0949] A method for generating ad copy using generative AI

[0950] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[0951] A means of distributing advertising copy to selected advertising media

[0952] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[0953] Optional automatic adjustment of advertising spending based on advertising budget

[0954] 3. System Operation

[0955] 1. Enter user information

[0956] Users access the platform using a device (computer or smartphone).

[0957] The user logs in to the platform's website and is taken to a screen where they can enter information about the product or service.

[0958] The user enters information about the product or service, such as its features, description, and price.

[0959] 2. Generating ad copy using generative AI

[0960] The server sends the product or service information entered by the user to the generation AI.

[0961] The generation AI generates ad copy based on the input information.

[0962] The server receives the generated advertising copy and provides it to the store.

[0963] 3. Target audience analysis and advertising media selection

[0964] The server performs processing to analyze the target audience based on the generated advertising copy.

[0965] Based on the analysis data, the server selects the advertising medium that is expected to have the greatest advertising effectiveness.

[0966] The server distributes the advertisement copy to the selected advertisement media.

[0967] 4. Advertising effectiveness prediction and optimization (optional)

[0968] As the advertisements are delivered, the server collects data to predict the effectiveness of the advertisements in real time.

[0969] If the effect is predicted to be low, the server optimizes the advertising copy and media.

[0970] By redistributing optimized ad copy, advertising effectiveness is maximized.

[0971] 5. Advertising budget management (optional)

[0972] Users set their advertising budget on the platform.

[0973] The server provides the option to automatically adjust advertising spending based on the set advertising budget.

[0974] This feature allows merchants to effectively manage their advertising costs.

[0975] 4. Specific Examples

[0976] Example 1: Creating an advertisement for fresh organic vegetables

[0977] 1. Enter user information

[0978] The user types in "fresh organic vegetables for sale."

[0979] 2. Generating ad copy using generative AI

[0980] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[0981] 3. Target audience analysis and advertising media selection

[0982] The server determines that social media is the best advertising medium and delivers the advertising copy.

[0983] 4. Advertising effectiveness prediction and optimization

[0984] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[0985] 5. Managing your advertising budget

[0986] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[0987] This system allows stores to easily create, publish, and manage effective web advertisements without requiring specialized knowledge.

[0988] The processing flow will be explained below.

[0989] Step 1:

[0990] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and authenticates the user. If authentication is successful, the user is taken to a screen where they can enter information about products and services.

[0991] Step 2:

[0992] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[0993] Step 3:

[0994] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[0995] Step 4:

[0996] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[0997] Step 5:

[0998] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[0999] Step 6:

[1000] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[1001] Step 7:

[1002] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[1003] Step 8:

[1004] The user sets an advertising budget on the platform. The server automatically adjusts advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[1005] Example 1

[1006] 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."

[1007] There is a lack of platforms that allow small businesses and small and medium-sized enterprises to effectively create, distribute, and manage online advertisements without specialized knowledge. This has led to a demand for a system that can handle everything from advertisement creation to targeting, distribution, effectiveness measurement, and optimization.

[1008] 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.

[1009] In this invention, the server includes a means for inputting product or service information, a means for using a generative AI model to generate advertising copy based on the product or service information, and a means for selecting the optimal advertising media for delivering the advertising copy to a target audience, thereby enabling the creation and delivery of effective web advertisements without specialized knowledge.

[1010] "Means for inputting product or service information" refers to an interface through which a user provides data such as product or service characteristics, descriptions, and prices to the system.

[1011] "Generative AI model" refers to artificial intelligence technology that automatically generates advertising copy based on input information.

[1012] "Target audience" refers to the specific user group or market segment to which an advertisement is directed.

[1013] "Advertising medium" refers to the channel or platform used to deliver an advertisement (e.g., social media, search engines, etc.).

[1014] "Means for predicting advertising effectiveness in real time and optimizing advertising copy or advertising media" refers to the function of evaluating advertising performance in real time and dynamically adjusting advertising copy and distribution channels based on the results.

[1015] "Means for setting an advertising budget and automatically adjusting advertising expenditures based on said advertising budget" refers to a function that automatically optimizes the costs of advertising expenditures based on a budget set by the user.

[1016] MODE FOR CARRYING OUT THE INVENTION

[1017] 1. Introduction

[1018] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[1019] 2. System Configuration

[1020] The platform consists of the following main components:

[1021] A means to enter product or service information

[1022] A method for generating ad copy using generative AI models

[1023] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[1024] A means of distributing advertising copy to selected advertising media

[1025] A means of predicting advertising effectiveness in real time and optimizing advertising copy or advertising media (optional)

[1026] Optional automatic adjustment of advertising spending based on advertising budget

[1027] 3. System Operation

[1028] Users access the platform using a device (such as a computer or smartphone) and log in to their account from the login screen. This takes them to a screen where they can enter information such as the features, description, and price of the product or service. For example, they can enter information such as "Sale of fresh organic vegetables," "500 yen per bag," and "Nationwide delivery."

[1029] The server receives the product or service information entered by the user and sends that information to the generative AI model. The generative AI model (e.g., GPT-4) generates an ad copy based on the prompt, "Generate an effective ad copy for selling fresh organic vegetables for 500 yen." The generated ad copy will be, "Fresh organic vegetables delivered daily! Try them at a special price!" The server receives this ad copy and provides it to the user.

[1030] Next, the server analyzes the target audience based on the generated ad copy and past data. This analysis includes age group, hobbies, interests, etc. Furthermore, the server selects the advertising medium that is expected to have the highest advertising effectiveness based on the analytical data. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[1031] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium, maximizing the advertising effectiveness.

[1032] Users can set their advertising budget on the platform. For example, they can set an advertising budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget. This allows stores and small and medium-sized businesses to efficiently manage their advertising costs.

[1033] As a concrete example, let's take the process of creating an ad for fresh organic vegetables. The user enters "Fresh organic vegetables for sale," and the generative AI model generates the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!". Based on the analysis data, the server determines that social media is the best advertising medium and distributes the ad. It also predicts effectiveness in real time, optimizes the ad copy, and distributes it again. The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[1034] This allows shops and small and medium-sized businesses to easily create, publish, and manage effective web advertisements without the need for specialized knowledge.

[1035] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1036] Step 1: User accesses device and enters information

[1037] Users access the platform's website using a device such as a computer or smartphone, log in to their account, and enter information such as the features, description, and price of the product or service. For example, they can enter "fresh organic vegetables for sale," "500 yen per bag," and "nationwide delivery."

[1038] Input: Product or service information (e.g., "Selling fresh organic vegetables")

[1039] Output: Product or service data entered by the user

[1040] Step 2: The server receives the user input and sends it to the generative AI model

[1041] After receiving the product or service information entered by the user, the server sends the information to the generative AI model, which then generates a prompt to allow the AI ​​model to operate appropriately.

[1042] Example prompt: "Generate effective advertising copy for selling fresh organic vegetables for 500 yen."

[1043] Input: Product or service data entered by the user

[1044] Output: Prompts for the generative AI model and product or service information

[1045] Step 3: Generative AI model generates ad copy

[1046] The generative AI model generates ad copy based on the received prompt and product or service information, for example, "Fresh organic vegetables delivered daily! Try them at a special price!"

[1047] Input: Prompt statement and product or service information

[1048] Output: Generated ad copy

[1049] Step 4: The server receives the generated ad copy and provides it to the user

[1050] The server receives the ad copy generated by the generative AI model and provides it to the user, who can review it and modify it if necessary.

[1051] Input: Generated ad copy

[1052] Output: The ad copy served to the user

[1053] Step 5: The server analyzes the target audience and selects advertising media

[1054] The server analyzes the target audience based on the generated ad copy and past data. Furthermore, based on the analysis data, it selects the advertising medium that is expected to have the highest advertising effectiveness. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[1055] Input: Generated ad copy and historical data

[1056] Output: Selected advertising media and advertising copy to be distributed

[1057] Step 6: The server distributes the ad copy to the selected media

[1058] The server distributes the advertisement copy to the selected advertising medium (e.g., social media).

[1059] Input: Selected advertising media and advertising copy

[1060] Output: The ad copy that will actually be delivered

[1061] Step 7: The server predicts and optimizes advertising effectiveness in real time (optional)

[1062] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium.

[1063] Input: Actual ad copy and ad effectiveness data

[1064] Output: Optimized ad copy and distribution medium

[1065] Step 8: User sets advertising budget and server automatically adjusts advertising amount (optional)

[1066] Users set their advertising budget on the platform. For example, they set a budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget.

[1067] Input: User-defined advertising budget

[1068] Output: Automatically adjusted advertising expenditure

[1069] This means that small businesses and SMEs can easily create, publish, and manage effective web advertisements using generative AI technology, even if they do not have specialized knowledge.

[1070] (Application example 1)

[1071] 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."

[1072] In today's advertising industry, small businesses, especially small businesses, face the challenge of creating effective advertisements and delivering them to the right targets without specialized knowledge. Furthermore, understanding advertising effectiveness in real time and efficiently managing budgets are also key challenges. To address these challenges, a simple and effective advertising creation and delivery system is needed.

[1073] 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.

[1074] In this invention, the server includes means for inputting product or service information, means for using a generation AI to generate advertising copy based on the product or service information, means for selecting optimal advertising media for distributing the advertising copy to a target audience, means for distributing the advertising copy to the selected advertising media, means for providing a user interface operable on a smartphone, and means for setting up distribution to post the generated advertising copy. This enables even users without specialized knowledge to easily create effective advertisements and distribute them to their targets.

[1075] "Means for inputting product or service information" refers to an interface or device that allows a user to input the characteristics and details of their product or service.

[1076] "Generative AI" is artificial intelligence that automatically generates advertising copy based on input information using natural language processing technology.

[1077] "Advertising copy" is text used to promote products or services, and is automatically created by generative AI.

[1078] "Target audience" refers to the specific viewers or users for whom an advertisement is intended.

[1079] The "means for selecting the optimal advertising medium" refers to an algorithm or process that selects the optimal advertising venue, such as social media or a website, for the generated advertising copy.

[1080] "Advertising media" refers to the various media and platforms through which advertising copy is distributed.

[1081] The "means of delivery" refers to the interface or protocol used to actually deliver the advertising copy to the selected advertising media.

[1082] A "user interface" is an interactive environment that provides an operation screen or dashboard for direct user operation.

[1083] The "means for setting delivery settings" refers to a function or interface for setting the delivery schedule, budget, target audience, etc. of the generated ad copy.

[1084] "Budget management" is the process of automatically adjusting advertising spending and delivery efficiency based on the advertising budget set by the user.

[1085] "Real-time" refers to a situation in which data processing and feedback of results are almost instantaneous.

[1086] "Optimization" is the process of adjusting advertising copy and distribution media to suit the situation and maximize effectiveness.

[1087] System configuration

[1088] A system for implementing the present invention comprises the following major components:

[1089] A means to enter product or service information

[1090] A method for generating ad copy using generative AI

[1091] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[1092] A means of distributing advertising copy to selected advertising media

[1093] A means for providing a user interface that can be operated on a smartphone

[1094] A method for setting up distribution to display generated ad copy

[1095] Hardware and Software

[1096] This system is configured using the following hardware and software:

[1097] Smartphone (iOS or Android)

[1098] Server (any server hardware)

[1099] User interface (smartphone app)

[1100] OpenAI API (Generation AI)

[1101] Ad serving platform API (e.g., Google Ads API, Facebook Ads API)

[1102] Flask framework (server side)

[1103] Data Processing Overview

[1104] Enter your product or service information:

[1105] Users use a smartphone app to input product or service information. For example, if you are selling fresh organic vegetables, you can enter specific information such as "fresh organic vegetables" or "offered at a special price" in text.

[1106] Generative AI-generated ad copy:

[1107] The server sends the product or service information entered by the user to the OpenAI API. The generation AI generates advertising copy for sales promotion based on the information provided. For example, the generated advertising copy might read, "Fresh organic vegetables delivered daily! Try them at a special price!"

[1108] Target audience analysis and advertising media selection:

[1109] The server uses an AI model to analyze the target audience based on the generated ad copy and select the optimal advertising medium. By analyzing the target audience's age group and interest range, the server determines the optimal advertising medium from social media and websites.

[1110] Ad copy delivery:

[1111] Users can set up distribution settings through a smartphone app, and the server distributes the ad copy to the selected advertising media. Users can also set the ad distribution schedule and budget on their smartphone.

[1112] Advertising effectiveness prediction and optimization (optional):

[1113] As the ad is delivered, the server collects real-time data and predicts its effectiveness. If it is determined to be ineffective, the AI ​​will generate a new ad copy and deliver it again.

[1114] Specific examples

[1115] If the user types in "fresh organic vegetables for sale," the prompt sent to the OpenAI API will look like this:

[1116] prompt:

[1117] Product Information: Fresh organic vegetables for sale

[1118] Generate catchy and selling ad copy based on the product information above.

[1119] This generates the ad copy, "Fresh organic vegetables delivered daily! Try it at a special price!"

[1120] The present invention enables even users without specialized knowledge to easily create effective advertisements and distribute them to targets.

[1121] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1122] Step 1: The user uses the terminal to enter product or service information.

[1123] Input: Product name, detailed description, price, and other information

[1124] Processing: Sends information entered through the user interface to the server.

[1125] Output: Product or service information is sent to the server.

[1126] Step 2: The server sends the entered product or service information to the generation AI.

[1127] Input: Product or service information entered by the user

[1128] Processing: The server creates a prompt and sends the information to the OpenAI API.

[1129] Output: Generative AI generates ad copy based on product or service information.

[1130] Step 3: The generation AI generates the ad copy and returns it to the server.

[1131] Input: Product or service information sent to the OpenAI API

[1132] Processing: The generative AI model generates ad copy based on the prompt.

[1133] Output: The generated ad copy is returned to the server.

[1134] Step 4: The server analyzes the target audience based on the generated ad copy and selects the most suitable advertising medium.

[1135] Input: Generated ad copy

[1136] Processing: The AI ​​model analyzes the content of the ad copy and predicts the target audience's age group and interests. Based on the analysis results, the advertising media is selected.

[1137] Output: A list of optimal advertising media

[1138] Step 5: The server distributes the advertisement copy to the advertisement media selected through the user interface.

[1139] Input: Selected advertising media, generated ad copy

[1140] Processing: The server calls the API of the ad distribution platform and distributes the ad copy. Distribution settings are made based on the distribution schedule and budget specified by the user.

[1141] Output: The ad copy is delivered to the selected advertising media.

[1142] Step 6: As the advertisement is delivered, the server collects real-time data and predicts the effectiveness of the advertisement.

[1143] Input: Ad delivery result data (number of clicks, number of impressions, etc.)

[1144] Processing: The server analyzes real-time data and predicts the effectiveness of the ad. If it is determined to be ineffective, the AI ​​generates a new ad copy.

[1145] Output: Newly generated ad copy (only if it is ineffective)

[1146] Step 7: The user sets an advertising budget and the advertising amount is automatically adjusted based on that budget.

[1147] Input: User-defined advertising budget

[1148] Processing: The server manages budget information and automatically adjusts advertising spending. Controls are implemented to prevent budget overruns.

[1149] Output: Optimal advertising amount within advertising budget

[1150] The above are the specific processing steps in the system of the present invention.

[1151] 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.

[1152] 1. Introduction

[1153] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. By utilizing generative AI technology and an emotion engine, the platform automatically generates advertising copy, analyzes target audiences, selects optimal advertising media, customizes advertising copy using user emotion data, and effectively manages advertising budgets. The following describes in detail specific embodiments of the present invention.

[1154] 2. System Configuration

[1155] The platform consists of the following main components:

[1156] A means to enter product or service information

[1157] A method for generating ad copy using generative AI

[1158] A means of recognizing user emotions using an emotion engine

[1159] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[1160] A means of distributing advertising copy to selected advertising media

[1161] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[1162] A means for merchants to set their advertising budget and automatically adjust advertising expenditures based on that budget (optional)

[1163] 3. System Operation

[1164] 1. Enter user information

[1165] The user accesses the platform using a terminal. A login screen is displayed and the user enters login information. The server receives the login information and authenticates the user. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[1166] The user enters information such as product or service features, description, price, etc. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[1167] 2. Generating ad copy using generative AI

[1168] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[1169] 3. Emotional engine for recognizing user emotions

[1170] The server uses an emotion engine to collect emotion data from user inputs and interactions. The emotion engine analyzes data such as the user's facial expressions, voice tone, and input content to recognize emotions.

[1171] The recognized emotion data is stored on the server and used by the generative AI to customize advertising copy.

[1172] 4. Target audience analysis and advertising media selection

[1173] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[1174] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[1175] 5. Delivery of ad copy

[1176] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[1177] 6. Advertising effectiveness prediction and optimization (optional)

[1178] As the ad is distributed, the server collects data in real time to predict its effectiveness. If the predicted effectiveness is low, the server optimizes the ad copy and placement medium. For example, it may modify the ad copy to make it more appealing or change to a different ad placement medium. The optimized ad copy is then distributed again, and its effectiveness is monitored.

[1179] 7. Advertising budget management (optional)

[1180] Users set their advertising budget on the platform, and the server provides an option to automatically adjust advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[1181] 4. Specific Examples

[1182] Example 1: Creating an advertisement for fresh organic vegetables

[1183] 1. Enter user information

[1184] The user types in "fresh organic vegetables for sale."

[1185] 2. Generating ad copy using generative AI

[1186] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[1187] 3. Emotion engine for user emotion recognition and customization

[1188] The emotion engine analyzes the emotional data of users as they view the ad copy, and the generated ad copy is customized to elicit a positive response from users, for example by adding words and phrases that interest users.

[1189] 4. Target audience analysis and advertising media selection

[1190] The server determines that social media is the best advertising medium and delivers the advertising copy.

[1191] 5. Advertising effectiveness prediction and optimization

[1192] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[1193] 6. Managing your advertising budget

[1194] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[1195] This system allows merchants to easily create, publish, and manage effective web advertisements that take user emotions into consideration, without requiring specialized knowledge.

[1196] The processing flow will be explained below.

[1197] Step 1:

[1198] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and performs user authentication. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[1199] Step 2:

[1200] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[1201] Step 3:

[1202] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[1203] Step 4:

[1204] The server provides the advertisement copy to the user and collects emotional data when the user checks the advertisement copy using an emotion engine. The emotion engine analyzes data such as the user's facial expression, tone of voice, and input content to recognize emotions.

[1205] Step 5:

[1206] The server uses generative AI to customize ad copy based on the recognized emotion data, for example by adding words and phrases that users responded positively to.

[1207] Step 6:

[1208] The server then begins the process of analyzing the target audience based on the customized ad copy. The server uses historical advertising data and market data to analyze which audience is most suitable for this ad. The results of the analysis are stored on the server.

[1209] Step 7:

[1210] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[1211] Step 8:

[1212] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[1213] Step 9:

[1214] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[1215] Step 10:

[1216] The user sets an advertising budget on the platform. The server automatically adjusts advertising amounts based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[1217] Example 2

[1218] 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."

[1219] In today's world, it is difficult for small businesses and small and medium-sized enterprises to create, distribute, and optimize effective web advertisements, as this requires specialized knowledge. Furthermore, the lack of a means to customize ad copy using emotional data makes it difficult to create advertisements that appeal to users. Given this background, there is a demand for a platform that allows even non-specialized users to easily create, distribute, and optimize effective advertisements.

[1220] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1221] In this invention, the server includes means for inputting product or service data, means for utilizing a generation AI to generate advertising copy based on the product or service data, means for utilizing an emotion engine to recognize emotions based on the generated advertising copy and user operation data, means for selecting optimal advertising distribution media for delivering the advertising copy to a target audience, and means for delivering the advertising copy to the selected advertising distribution media. This enables even users without specialized knowledge to easily generate effective online advertisements based on emotions, deliver them to appropriate audiences, and further optimize their effectiveness in real time.

[1222] "Product or Service Data" refers to information such as product features, descriptions, and prices of products provided by Users.

[1223] "Generative AI" refers to artificial intelligence technology that automatically generates advertising copy based on input data.

[1224] An "emotion engine" refers to technology that analyzes user operation data (facial expressions, tone of voice, input content, etc.) and recognizes emotions.

[1225] "Advertising Delivery Medium" refers to the internet platform or channel (e.g., social media, search engines, etc.) through which the generated advertising copy is delivered to the target audience.

[1226] "Target audience" refers to the group of users with a particular age group, geographic location, or interests that a particular ad copy is intended to appeal to.

[1227] "Advertising amount" refers to the portion of the advertising budget paid to deliver an advertisement.

[1228] "Real-time prediction" refers to technology that instantly evaluates and analyzes the effectiveness of an advertisement while it is being delivered, and obtains results.

[1229] "Ad copy optimization" refers to the process of adjusting and improving the content of ad copy and distribution media in order to increase the effectiveness of advertising.

[1230] This invention relates to a platform that enables small businesses and small and medium-sized enterprises to easily create, distribute, and optimize effective web advertisements. This platform utilizes generative AI and an emotion engine to automatically generate advertisement copy, analyze target audiences, select optimal advertisement distribution media, predict and optimize advertising effectiveness in real time, and automatically manage advertising budgets.

[1231] 1. Platform Configuration

[1232] The platform consists of the following main components:

[1233] A means of entering product or service data

[1234] A method for generating ad copy using generative AI

[1235] A means of recognizing user emotions using an emotion engine

[1236] A method for selecting the optimal advertising delivery medium to deliver advertising copy to the target audience

[1237] A means of distributing advertising copy to selected advertising media

[1238] A means to predict and optimize ad copy effectiveness in real time (optional)

[1239] A means to set advertising budgets and automatically adjust advertising spending (optional)

[1240] 2. Hardware and Software Used

[1241] Hardware

[1242] Devices: PC, smartphone

[1243] Server: Cloud server

[1244] software

[1245] web browser: interface through which a user enters information

[1246] Server authentication system: A system for performing user authentication.

[1247] Generative AI model: Artificial intelligence for automatically generating ad copy, such as OpenAI's GPT-4

[1248] Emotion engine: Software for recognizing user emotions, such as Affectiva's SDK

[1249] Advertisement distribution system: A system for distributing ad copy (e.g., Facebook API)

[1250] Budget control system: a system for managing advertising budgets

[1251] Database: A system for storing user information, product information, advertising copy, emotional data, advertising effectiveness data, etc.

[1252] 3. Examples of Platform Operation

[1253] Example 1: Creating an advertisement for fresh organic vegetables

[1254] 1. Enter user information

[1255] Users access the platform using a PC or smartphone and enter their login information. The server performs user authentication, and if successful, the user is redirected to a product information input screen.

[1256] The user types in "fresh organic vegetables for sale," then fills in the product description and price. Once the input is complete, the user clicks the "Send" button, and the device sends the information to the server.

[1257] 2. Generating ad copy using generative AI

[1258] The server sends the received product information to a generation AI (e.g., GPT-4), which then generates an ad copy such as, "Fresh organic vegetables delivered every day! Try them at a special price!" The generated ad copy is stored on the server.

[1259] 3. Emotion engine for user emotion recognition and customization

[1260] When a user reviews an ad copy, the server uses an emotion engine (e.g., Affectiva) to analyze the user's facial expressions and tone of voice to recognize emotional data, and customizes the ad copy based on this data.

[1261] For example, add words or phrases that users respond positively to.

[1262] 4. Target audience analysis and advertising media selection

[1263] The server refers to past advertising data and market data to analyze the target audience, and then selects the optimal advertising delivery medium (e.g., Facebook, Instagram).

[1264] 5. Delivery of ad copy

[1265] The server distributes the advertisement copy to the selected advertisement distribution media. After distribution, the server collects and stores advertisement performance data in real time.

[1266] 6. Advertising effectiveness prediction and optimization (optional)

[1267] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy and distribution medium as necessary, for example by changing the wording of the advertisement copy or switching to a different advertisement distribution medium.

[1268] 7. Advertising budget management (optional)

[1269] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending based on the budget.

[1270] Prompt Sentence Examples

[1271] Here are some examples of prompts that can be used to generate specific ad copy for the AI:

[1272] "Create an ad for fresh organic vegetables. The feature is that they deliver fresh vegetables every day and you can try them at a special price."

[1273] This platform allows users to easily generate, distribute, and manage effective web advertisements that utilize emotional data, even if they do not have specialized knowledge.

[1274] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1275] Step 1:

[1276] Users access the platform using a device such as a PC or smartphone and enter their login information.

[1277] Input: Username, Password

[1278] Data processing: The server receives the login information and authenticates the user by referencing the database.

[1279] Output: Authentication success message (if successful), error message (if unsuccessful)

[1280] Specifically, the user opens a web browser, accesses the platform URL, enters their username and password in the login form, and clicks the submit button. If authentication is successful, the server transitions to the product information input screen.

[1281] Step 2:

[1282] The user enters product or service data.

[1283] Input: Product name, product features, description, price

[1284] Data processing: The terminal sends the entered product data to the server, which then stores the data in a database.

[1285] Output: Product data saving completion message

[1286] Specifically, the user enters information such as the product name "Fresh organic vegetables," the description "Fresh vegetables delivered every day," and the price "1,000 yen," and clicks the "Submit" button.

[1287] Step 3:

[1288] The server sends the received product information to the generation AI.

[1289] Input: Product data

[1290] Data processing: The server sends the product data to a generative AI (e.g., GPT-4), and the generative AI model generates advertising copy based on the input data.

[1291] Output: Generated ad text

[1292] The server sends a prompt containing product information to the generative AI model, which then generates and returns the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!"

[1293] Step 4:

[1294] The server recognizes emotions using an emotion engine based on the generated advertising copy and user operation data.

[1295] Input: Ad copy, user operation data (facial expressions, tone of voice, input content)

[1296] Data processing: The server sends the data to the emotion engine, which analyzes it and recognizes the emotion data.

[1297] Output: Recognized emotion data

[1298] Specifically, the emotion engine analyzes the user's facial expressions and tone of voice when reviewing the advertisement copy, and returns positive emotion data to the server.

[1299] Step 5:

[1300] The server analyzes the target audience and selects the optimal advertising delivery medium.

[1301] Input: Ad copy, historical ad data, market data

[1302] Data processing: The server analyzes this data and selects the optimal target audience and advertising delivery medium.

[1303] Output: Target audience analysis results, advertising media selection results

[1304] Specifically, the server determines that Facebook is the best distribution medium based on past data that shows that women in their 30s and 40s are highly interested in organic vegetables.

[1305] Step 6:

[1306] The server distributes the advertisement copy to the selected advertisement distribution medium.

[1307] Input: Ad copy, selected ad distribution medium

[1308] Data processing: The server sends the advertising copy to the advertising distribution medium and collects data on the distribution status.

[1309] Output: Delivery status data, performance data

[1310] Specifically, the server distributes the ad copy via the Facebook API and collects performance data such as the number of clicks and impressions in real time.

[1311] Step 7:

[1312] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy or distribution medium as necessary.

[1313] Input: Ad performance data

[1314] Data processing: The server analyzes performance data and optimizes the ad copy and distribution media if the effect is low.

[1315] Output: Optimized ad copy, distribution medium

[1316] Specifically, the server optimizes ad copy with low click-through rates by adding keywords such as "limited time offer" and delivers it again.

[1317] Step 8:

[1318] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending.

[1319] Input: Advertising budget setting data

[1320] Data processing: The server automatically adjusts advertising amounts based on the set advertising budget.

[1321] Output: Adjusted ad spend

[1322] Specifically, the user sets an advertising budget of 30,000 yen, and the server adjusts the amount of advertising to achieve maximum effectiveness within that budget.

[1323] (Application example 2)

[1324] 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."

[1325] Currently, creating and distributing effective web advertisements requires specialized knowledge and advanced technology, consuming significant resources. This makes it difficult for retailers and small businesses to independently publish and manage effective advertisements. Furthermore, reflecting user sentiment in advertising copy requires even more advanced technology, which is costly and time-consuming. To address this situation, the present invention aims to provide a system that enables small businesses and small businesses to efficiently and effectively create and distribute advertisements.

[1326] 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.

[1327] In this invention, the server includes a means for inputting product or service information, a means for utilizing a generation AI to generate advertising copy based on the product or service information, and a means for utilizing an emotion engine to analyze user emotions and optimize the advertising copy. This enables small and medium-sized enterprises and small shops to effectively generate advertising copy and place optimal advertisements based on user emotions, even without advanced specialized knowledge.

[1328] "Product or service information" refers to detailed information about the products or services provided by the user, such as features, descriptions, and prices.

[1329] "Generative AI" refers to artificial intelligence that automatically generates advertising copy based on product or service information.

[1330] An "emotion engine" is a system that analyzes data such as a user's facial expressions, tone of voice, and input content to recognize emotions, and uses this information to optimize advertising copy.

[1331] A "target audience" is a specific group of consumers that an advertisement is intended to reach.

[1332] "Advertising medium" refers to the medium or platform used to distribute advertising copy, such as a social media site or website.

[1333] "Ad copy" is text used to promote a product or service, and is generated by AI.

[1334] An "advertising budget" is the amount of money a store or company sets for advertising purposes.

[1335] The "advertising expenditure" is the amount of money actually used to place an advertisement based on the set advertising budget.

[1336] "Advertising effectiveness" refers to the impact and response of an advertisement on the target audience, and is an indicator that measures the success and efficiency of an advertisement.

[1337] "Real-time prediction" means instantly evaluating the effectiveness of ads as they are delivered and optimizing them as needed.

[1338] The present invention provides a system that enables small and medium-sized enterprises and small shops to easily create and distribute effective web advertisements. Specific embodiments of the system are described below.

[1339] System Components

[1340] 1. A means of entering product or service information

[1341] Users use devices such as smartphones and computers to input information about the products and services they offer, including product features, descriptions, and prices.

[1342] 2. Generating ad copy using generative AI

[1343] The server automatically generates ad copy using a generation AI based on the input product information. This generation AI uses the text generation library "textgenrnn." The generated ad copy is returned to the server and saved.

[1344] 3. A method for recognizing user emotions using an emotion engine

[1345] The server uses an emotion analysis API to recognize the user's emotions. It analyzes data such as the user's facial expressions, tone of voice, and input content when checking the ad copy to obtain the user's emotional data. This emotional data is used to optimize the ad copy.

[1346] 4. A method for selecting the best advertising media to deliver your ad copy to your target audience.

[1347] The server selects the optimal advertising media based on the emotion data and advertising copy, using past advertising data and market data.

[1348] 5. Means of distributing advertising copy to selected advertising media

[1349] The server distributes the ad copy to the selected advertising media, for example, by posting the ad copy on social media sites or websites.

[1350] Hardware and Software

[1351] Hardware: The device used by the user (smartphone, PC, etc.) and the server for generating ad copy and analyzing sentiment.

[1352] Software: Generative AI model (textgenrnn), sentiment analysis API

[1353] Specific examples

[1354] Advertising for fresh organic vegetables

[1355] 1. Enter product information

[1356] The user uses the terminal to enter "fresh organic vegetables, fresh daily, special prices."

[1357] 2. Generating ad copy using generative AI

[1358] The server sends the information to the AI ​​generator, which then generates the ad copy: "We deliver fresh organic vegetables every day! Try them now at a special price!"

[1359] 3. Emotion engine for user emotion recognition and customization

[1360] Use sentiment analysis API to analyze the sentiment of users when they view ad copy and optimize the ad copy, for example, by adding words that indicate positive sentiment.

[1361] 4. Target audience analysis and advertising media selection

[1362] The server determines that social media is the best advertising medium and delivers the ad copy there.

[1363] 5. Delivery of ad copy

[1364] The server distributes the advertisement copy to the selected social media.

[1365] Prompt Sentence Examples

[1366] "Fresh organic vegetables delivered daily! Try it now at a special price! (Emotional data: Positive, Advertising medium: Social media)"

[1367] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1368] Step 1:

[1369] The user uses a terminal to access a screen for entering product or service information. The input screen contains items such as product features, description, and price, and the user enters this information. The entered information is sent to the server by clicking the "Send" button. The input at this point is text data such as product features, description, and price. The output is the text data of the product information received by the server.

[1370] Step 2:

[1371] The server sends data to the generation AI based on the received product information. The generation AI model (textgenrnn) analyzes the text data to generate ad copy based on this information. The generated ad copy is returned to the server and saved. The input is text data of the product information, and the output is text data of the generated ad copy.

[1372] Step 3:

[1373] After the ad copy is generated, the server uses an emotion engine to recognize the user's emotions. Using an emotion analysis API, the server analyzes the user's facial expression data, voice tone, and input content when reviewing the ad copy to obtain emotion data. The analysis results are stored on the server as emotion data. The input is the user's reaction data when reviewing the ad copy, and the output is emotion data.

[1374] Step 4:

[1375] The server customizes the ad copy based on the emotion data. As a result of the emotion analysis, optimization is performed, such as adding words that indicate positive emotions from users to the ad copy. The optimized ad copy is saved on the server. The input is emotion data and the text data of the ad copy, and the output is the optimized text data of the ad copy.

[1376] Step 5:

[1377] The server analyzes the target audience based on the optimized ad copy and selects the optimal advertising medium using past advertising data and market data. The selected advertising medium can be social media or a website. The input is the text data of the optimized ad copy, past advertising data, and market data, and the output is information on the selected advertising medium.

[1378] Step 6:

[1379] The server distributes the ad copy to the selected advertising media, for example by posting the ad copy on a social media site. After distribution, the server collects performance data of the ad and analyzes the advertising effectiveness in real time. The input is information about the selected advertising media and the text data of the ad copy, and the output is the performance data of the ad.

[1380] Step 7:

[1381] After an ad is delivered, the server predicts its effectiveness in real time and optimizes the ad copy and media as necessary. For example, it may modify the ad copy or change to a different media. The optimized ad copy is then delivered again and its effectiveness is monitored. The input is the ad performance data, and the output is the optimized ad copy and the selected media.

[1382] 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.

[1383] 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.

[1384] 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.

[1385] [Fourth embodiment]

[1386] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1387] 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.

[1388] 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).

[1389] 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.

[1390] 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.

[1391] 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).

[1392] 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.

[1393] 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.

[1394] 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.

[1395] 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.

[1396] 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.

[1397] 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.

[1398] 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."

[1399] 1. Introduction

[1400] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[1401] 2. System Configuration

[1402] The platform consists of the following main components:

[1403] A means to enter product or service information

[1404] A method for generating ad copy using generative AI

[1405] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[1406] A means of distributing advertising copy to selected advertising media

[1407] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[1408] Optional automatic adjustment of advertising spending based on advertising budget

[1409] 3. System Operation

[1410] 1. Enter user information

[1411] Users access the platform using a device (computer or smartphone).

[1412] The user logs in to the platform's website and is taken to a screen where they can enter information about the product or service.

[1413] The user enters information about the product or service, such as its features, description, and price.

[1414] 2. Generating ad copy using generative AI

[1415] The server sends the product or service information entered by the user to the generation AI.

[1416] The generation AI generates ad copy based on the input information.

[1417] The server receives the generated advertising copy and provides it to the store.

[1418] 3. Target audience analysis and advertising media selection

[1419] The server performs processing to analyze the target audience based on the generated advertising copy.

[1420] Based on the analysis data, the server selects the advertising medium that is expected to have the greatest advertising effectiveness.

[1421] The server distributes the advertisement copy to the selected advertisement media.

[1422] 4. Advertising effectiveness prediction and optimization (optional)

[1423] As the advertisements are delivered, the server collects data to predict the effectiveness of the advertisements in real time.

[1424] If the effect is predicted to be low, the server optimizes the advertising copy and media.

[1425] By redistributing optimized ad copy, advertising effectiveness is maximized.

[1426] 5. Advertising budget management (optional)

[1427] Users set their advertising budget on the platform.

[1428] The server provides the option to automatically adjust advertising spending based on the set advertising budget.

[1429] This feature allows merchants to effectively manage their advertising costs.

[1430] 4. Specific Examples

[1431] Example 1: Creating an advertisement for fresh organic vegetables

[1432] 1. Enter user information

[1433] The user types in "fresh organic vegetables for sale."

[1434] 2. Generating ad copy using generative AI

[1435] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[1436] 3. Target audience analysis and advertising media selection

[1437] The server determines that social media is the best advertising medium and delivers the advertising copy.

[1438] 4. Advertising effectiveness prediction and optimization

[1439] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[1440] 5. Managing your advertising budget

[1441] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[1442] This system allows stores to easily create, publish, and manage effective web advertisements without requiring specialized knowledge.

[1443] The processing flow will be explained below.

[1444] Step 1:

[1445] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and authenticates the user. If authentication is successful, the user is taken to a screen where they can enter information about products and services.

[1446] Step 2:

[1447] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[1448] Step 3:

[1449] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[1450] Step 4:

[1451] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[1452] Step 5:

[1453] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[1454] Step 6:

[1455] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[1456] Step 7:

[1457] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[1458] Step 8:

[1459] The user sets an advertising budget on the platform. The server automatically adjusts advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[1460] Example 1

[1461] 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."

[1462] There is a lack of platforms that allow small businesses and small and medium-sized enterprises to effectively create, distribute, and manage online advertisements without specialized knowledge. This has led to a demand for a system that can handle everything from advertisement creation to targeting, distribution, effectiveness measurement, and optimization.

[1463] 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.

[1464] In this invention, the server includes a means for inputting product or service information, a means for using a generative AI model to generate advertising copy based on the product or service information, and a means for selecting the optimal advertising media for delivering the advertising copy to a target audience, thereby enabling the creation and delivery of effective web advertisements without specialized knowledge.

[1465] "Means for inputting product or service information" refers to an interface through which a user provides data such as product or service characteristics, descriptions, and prices to the system.

[1466] "Generative AI model" refers to artificial intelligence technology that automatically generates advertising copy based on input information.

[1467] "Target audience" refers to the specific user group or market segment to which an advertisement is directed.

[1468] "Advertising medium" refers to the channel or platform used to deliver an advertisement (e.g., social media, search engines, etc.).

[1469] "Means for predicting advertising effectiveness in real time and optimizing advertising copy or advertising media" refers to the function of evaluating advertising performance in real time and dynamically adjusting advertising copy and distribution channels based on the results.

[1470] "Means for setting an advertising budget and automatically adjusting advertising expenditures based on said advertising budget" refers to a function that automatically optimizes the costs of advertising expenditures based on a budget set by the user.

[1471] MODE FOR CARRYING OUT THE INVENTION

[1472] 1. Introduction

[1473] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. This platform utilizes generative AI technology to automatically generate advertising copy, analyze target audiences, and select optimal advertising media. The following describes in detail specific embodiments of the present invention.

[1474] 2. System Configuration

[1475] The platform consists of the following main components:

[1476] A means to enter product or service information

[1477] A method for generating ad copy using generative AI models

[1478] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[1479] A means of distributing advertising copy to selected advertising media

[1480] A means of predicting advertising effectiveness in real time and optimizing advertising copy or advertising media (optional)

[1481] Optional automatic adjustment of advertising spending based on advertising budget

[1482] 3. System Operation

[1483] Users access the platform using a device (such as a computer or smartphone) and log in to their account from the login screen. This takes them to a screen where they can enter information such as the features, description, and price of the product or service. For example, they can enter information such as "Sale of fresh organic vegetables," "500 yen per bag," and "Nationwide delivery."

[1484] The server receives the product or service information entered by the user and sends that information to the generative AI model. The generative AI model (e.g., GPT-4) generates an ad copy based on the prompt, "Generate an effective ad copy for selling fresh organic vegetables for 500 yen." The generated ad copy will be, "Fresh organic vegetables delivered daily! Try them at a special price!" The server receives this ad copy and provides it to the user.

[1485] Next, the server analyzes the target audience based on the generated ad copy and past data. This analysis includes age group, hobbies, interests, etc. Furthermore, the server selects the advertising medium that is expected to have the highest advertising effectiveness based on the analytical data. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[1486] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium, maximizing the advertising effectiveness.

[1487] Users can set their advertising budget on the platform. For example, they can set an advertising budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget. This allows stores and small and medium-sized businesses to efficiently manage their advertising costs.

[1488] As a concrete example, let's take the process of creating an ad for fresh organic vegetables. The user enters "Fresh organic vegetables for sale," and the generative AI model generates the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!". Based on the analysis data, the server determines that social media is the best advertising medium and distributes the ad. It also predicts effectiveness in real time, optimizes the ad copy, and distributes it again. The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[1489] This allows shops and small and medium-sized businesses to easily create, publish, and manage effective web advertisements without the need for specialized knowledge.

[1490] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1491] Step 1: User accesses device and enters information

[1492] Users access the platform's website using a device such as a computer or smartphone, log in to their account, and enter information such as the features, description, and price of the product or service. For example, they can enter "fresh organic vegetables for sale," "500 yen per bag," and "nationwide delivery."

[1493] Input: Product or service information (e.g., "Selling fresh organic vegetables")

[1494] Output: Product or service data entered by the user

[1495] Step 2: The server receives the user input and sends it to the generative AI model

[1496] After receiving the product or service information entered by the user, the server sends the information to the generative AI model, which then generates a prompt to allow the AI ​​model to operate appropriately.

[1497] Example prompt: "Generate effective advertising copy for selling fresh organic vegetables for 500 yen."

[1498] Input: Product or service data entered by the user

[1499] Output: Prompts for the generative AI model and product or service information

[1500] Step 3: Generative AI model generates ad copy

[1501] The generative AI model generates ad copy based on the received prompt and product or service information, for example, "Fresh organic vegetables delivered daily! Try them at a special price!"

[1502] Input: Prompt statement and product or service information

[1503] Output: Generated ad copy

[1504] Step 4: The server receives the generated ad copy and provides it to the user

[1505] The server receives the ad copy generated by the generative AI model and provides it to the user, who can review it and modify it if necessary.

[1506] Input: Generated ad copy

[1507] Output: The ad copy served to the user

[1508] Step 5: The server analyzes the target audience and selects advertising media

[1509] The server analyzes the target audience based on the generated ad copy and past data. Furthermore, based on the analysis data, it selects the advertising medium that is expected to have the highest advertising effectiveness. For example, if social media (e.g., Facebook, Instagram) is determined to be the most suitable, the ad copy will be distributed to that medium.

[1510] Input: Generated ad copy and historical data

[1511] Output: Selected advertising media and advertising copy to be distributed

[1512] Step 6: The server distributes the ad copy to the selected media

[1513] The server distributes the advertisement copy to the selected advertising medium (e.g., social media).

[1514] Input: Selected advertising media and advertising copy

[1515] Output: The ad copy that will actually be delivered

[1516] Step 7: The server predicts and optimizes advertising effectiveness in real time (optional)

[1517] As the ad is distributed, the server collects data such as the ad's click rate and conversion rate, and predicts its effectiveness in real time. If the predicted effectiveness is low, the server will revise the ad copy or switch to a different advertising medium. For example, the ad copy could be changed to "Don't miss out on our free samples of fresh organic vegetables!" The optimized ad copy is then distributed again to the selected medium.

[1518] Input: Actual ad copy and ad effectiveness data

[1519] Output: Optimized ad copy and distribution medium

[1520] Step 8: User sets advertising budget and server automatically adjusts advertising amount (optional)

[1521] Users set their advertising budget on the platform. For example, they set a budget of 30,000 yen. The server automatically adjusts the amount of advertising in each advertising medium based on the set advertising budget.

[1522] Input: User-defined advertising budget

[1523] Output: Automatically adjusted advertising expenditure

[1524] This means that small businesses and SMEs can easily create, publish, and manage effective web advertisements using generative AI technology, even if they do not have specialized knowledge.

[1525] (Application example 1)

[1526] 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."

[1527] In today's advertising industry, small businesses, especially small businesses, face the challenge of creating effective advertisements and delivering them to the right targets without specialized knowledge. Furthermore, understanding advertising effectiveness in real time and efficiently managing budgets are also key challenges. To address these challenges, a simple and effective advertising creation and delivery system is needed.

[1528] 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.

[1529] In this invention, the server includes means for inputting product or service information, means for using a generation AI to generate advertising copy based on the product or service information, means for selecting optimal advertising media for distributing the advertising copy to a target audience, means for distributing the advertising copy to the selected advertising media, means for providing a user interface operable on a smartphone, and means for setting up distribution to post the generated advertising copy. This enables even users without specialized knowledge to easily create effective advertisements and distribute them to their targets.

[1530] "Means for inputting product or service information" refers to an interface or device that allows a user to input the characteristics and details of their product or service.

[1531] "Generative AI" is artificial intelligence that automatically generates advertising copy based on input information using natural language processing technology.

[1532] "Advertising copy" is text used to promote products or services, and is automatically created by generative AI.

[1533] "Target audience" refers to the specific viewers or users for whom an advertisement is intended.

[1534] The "means for selecting the optimal advertising medium" refers to an algorithm or process that selects the optimal advertising venue, such as social media or a website, for the generated advertising copy.

[1535] "Advertising media" refers to the various media and platforms through which advertising copy is distributed.

[1536] The "means of delivery" refers to the interface or protocol used to actually deliver the advertising copy to the selected advertising media.

[1537] A "user interface" is an interactive environment that provides an operation screen or dashboard for direct user operation.

[1538] The "means for setting delivery settings" refers to a function or interface for setting the delivery schedule, budget, target audience, etc. of the generated ad copy.

[1539] "Budget management" is the process of automatically adjusting advertising spending and delivery efficiency based on the advertising budget set by the user.

[1540] "Real-time" refers to a situation in which data processing and feedback of results are almost instantaneous.

[1541] "Optimization" is the process of adjusting advertising copy and distribution media to suit the situation and maximize effectiveness.

[1542] System configuration

[1543] A system for implementing the present invention comprises the following major components:

[1544] A means to enter product or service information

[1545] A method for generating ad copy using generative AI

[1546] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[1547] A means of distributing advertising copy to selected advertising media

[1548] A means for providing a user interface that can be operated on a smartphone

[1549] A method for setting up distribution to display generated ad copy

[1550] Hardware and Software

[1551] This system is configured using the following hardware and software:

[1552] Smartphone (iOS or Android)

[1553] Server (any server hardware)

[1554] User interface (smartphone app)

[1555] OpenAI API (Generation AI)

[1556] Ad serving platform API (e.g., Google Ads API, Facebook Ads API)

[1557] Flask framework (server side)

[1558] Data Processing Overview

[1559] Enter your product or service information:

[1560] Users use a smartphone app to input product or service information. For example, if you are selling fresh organic vegetables, you can enter specific information such as "fresh organic vegetables" or "offered at a special price" in text.

[1561] Generative AI-generated ad copy:

[1562] The server sends the product or service information entered by the user to the OpenAI API. The generation AI generates advertising copy for sales promotion based on the information provided. For example, the generated advertising copy might read, "Fresh organic vegetables delivered daily! Try them at a special price!"

[1563] Target audience analysis and advertising media selection:

[1564] The server uses an AI model to analyze the target audience based on the generated ad copy and select the optimal advertising medium. By analyzing the target audience's age group and interest range, the server determines the optimal advertising medium from social media and websites.

[1565] Ad copy delivery:

[1566] Users can set up distribution settings through a smartphone app, and the server distributes the ad copy to the selected advertising media. Users can also set the ad distribution schedule and budget on their smartphone.

[1567] Advertising effectiveness prediction and optimization (optional):

[1568] As the ad is delivered, the server collects real-time data and predicts its effectiveness. If it is determined to be ineffective, the AI ​​will generate a new ad copy and deliver it again.

[1569] Specific examples

[1570] If the user types in "fresh organic vegetables for sale," the prompt sent to the OpenAI API will look like this:

[1571] prompt:

[1572] Product Information: Fresh organic vegetables for sale

[1573] Generate catchy and selling ad copy based on the product information above.

[1574] This generates the ad copy, "Fresh organic vegetables delivered daily! Try it at a special price!"

[1575] The present invention enables even users without specialized knowledge to easily create effective advertisements and distribute them to targets.

[1576] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1577] Step 1: The user uses the terminal to enter product or service information.

[1578] Input: Product name, detailed description, price, and other information

[1579] Processing: Sends information entered through the user interface to the server.

[1580] Output: Product or service information is sent to the server.

[1581] Step 2: The server sends the entered product or service information to the generation AI.

[1582] Input: Product or service information entered by the user

[1583] Processing: The server creates a prompt and sends the information to the OpenAI API.

[1584] Output: Generative AI generates ad copy based on product or service information.

[1585] Step 3: The generation AI generates the ad copy and returns it to the server.

[1586] Input: Product or service information sent to the OpenAI API

[1587] Processing: The generative AI model generates ad copy based on the prompt.

[1588] Output: The generated ad copy is returned to the server.

[1589] Step 4: The server analyzes the target audience based on the generated ad copy and selects the most suitable advertising medium.

[1590] Input: Generated ad copy

[1591] Processing: The AI ​​model analyzes the content of the ad copy and predicts the target audience's age group and interests. Based on the analysis results, the advertising media is selected.

[1592] Output: A list of optimal advertising media

[1593] Step 5: The server distributes the advertisement copy to the advertisement media selected through the user interface.

[1594] Input: Selected advertising media, generated ad copy

[1595] Processing: The server calls the API of the ad distribution platform and distributes the ad copy. Distribution settings are made based on the distribution schedule and budget specified by the user.

[1596] Output: The ad copy is delivered to the selected advertising media.

[1597] Step 6: As the advertisement is delivered, the server collects real-time data and predicts the effectiveness of the advertisement.

[1598] Input: Ad delivery result data (number of clicks, number of impressions, etc.)

[1599] Processing: The server analyzes real-time data and predicts the effectiveness of the ad. If it is determined to be ineffective, the AI ​​generates a new ad copy.

[1600] Output: Newly generated ad copy (only if it is ineffective)

[1601] Step 7: The user sets an advertising budget and the advertising amount is automatically adjusted based on that budget.

[1602] Input: User-defined advertising budget

[1603] Processing: The server manages budget information and automatically adjusts advertising spending. Controls are implemented to prevent budget overruns.

[1604] Output: Optimal advertising amount within advertising budget

[1605] The above are the specific processing steps in the system of the present invention.

[1606] 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.

[1607] 1. Introduction

[1608] The present invention relates to a platform that enables small businesses and small and medium-sized enterprises to effectively create and distribute web advertisements. By utilizing generative AI technology and an emotion engine, the platform automatically generates advertising copy, analyzes target audiences, selects optimal advertising media, customizes advertising copy using user emotion data, and effectively manages advertising budgets. The following describes in detail specific embodiments of the present invention.

[1609] 2. System Configuration

[1610] The platform consists of the following main components:

[1611] A means to enter product or service information

[1612] A method for generating ad copy using generative AI

[1613] A means of recognizing user emotions using an emotion engine

[1614] A method for selecting the optimal advertising medium to deliver advertising copy to the target audience

[1615] A means of distributing advertising copy to selected advertising media

[1616] A means to predict the effectiveness of ad copy in real time and optimize ad copy or ad placement media (optional)

[1617] A means for merchants to set their advertising budget and automatically adjust advertising expenditures based on that budget (optional)

[1618] 3. System Operation

[1619] 1. Enter user information

[1620] The user accesses the platform using a terminal. A login screen is displayed and the user enters login information. The server receives the login information and authenticates the user. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[1621] The user enters information such as product or service features, description, price, etc. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[1622] 2. Generating ad copy using generative AI

[1623] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[1624] 3. Emotional engine for recognizing user emotions

[1625] The server uses an emotion engine to collect emotion data from user inputs and interactions. The emotion engine analyzes data such as the user's facial expressions, voice tone, and input content to recognize emotions.

[1626] The recognized emotion data is stored on the server and used by the generative AI to customize advertising copy.

[1627] 4. Target audience analysis and advertising media selection

[1628] The server then begins the process of analyzing the target audience based on the generated ad copy. Using past advertising data and market data, the server analyzes which audience is most suitable for this ad. The results of the analysis are stored on the server.

[1629] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[1630] 5. Delivery of ad copy

[1631] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[1632] 6. Advertising effectiveness prediction and optimization (optional)

[1633] As the ad is distributed, the server collects data in real time to predict its effectiveness. If the predicted effectiveness is low, the server optimizes the ad copy and placement medium. For example, it may modify the ad copy to make it more appealing or change to a different ad placement medium. The optimized ad copy is then distributed again, and its effectiveness is monitored.

[1634] 7. Advertising budget management (optional)

[1635] Users set their advertising budget on the platform, and the server provides an option to automatically adjust advertising spending based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[1636] 4. Specific Examples

[1637] Example 1: Creating an advertisement for fresh organic vegetables

[1638] 1. Enter user information

[1639] The user types in "fresh organic vegetables for sale."

[1640] 2. Generating ad copy using generative AI

[1641] The server sends the information to the AI ​​generator, which then generates the ad copy: "Fresh organic vegetables delivered every day! Try them at a special price!"

[1642] 3. Emotion engine for user emotion recognition and customization

[1643] The emotion engine analyzes the emotional data of users as they view the ad copy, and the generated ad copy is customized to elicit a positive response from users, for example by adding words and phrases that interest users.

[1644] 4. Target audience analysis and advertising media selection

[1645] The server determines that social media is the best advertising medium and delivers the advertising copy.

[1646] 5. Advertising effectiveness prediction and optimization

[1647] The server predicts the effectiveness of the ad in real time, optimizes the ad copy as necessary, and delivers it again.

[1648] 6. Managing your advertising budget

[1649] The user sets an advertising budget of 30,000 yen, and the server automatically adjusts the amount of advertising based on that budget.

[1650] This system allows merchants to easily create, publish, and manage effective web advertisements that take user emotions into consideration, without requiring specialized knowledge.

[1651] The processing flow will be explained below.

[1652] Step 1:

[1653] A user accesses the platform's website using a device. A login screen appears and the user enters their login information. The server receives the entered login information and performs user authentication. If authentication is successful, the user is redirected to a screen where they can enter information about products and services.

[1654] Step 2:

[1655] The user enters information such as product or service features, description, and price. Once the information is complete, the user clicks the "Submit" button. The device then sends the entered information to the server.

[1656] Step 3:

[1657] The server sends the received product information to the generation AI, which automatically generates ad copy based on the input information. The generated ad copy is returned to the server, which then stores it.

[1658] Step 4:

[1659] The server provides the advertisement copy to the user and collects emotional data when the user checks the advertisement copy using an emotion engine. The emotion engine analyzes data such as the user's facial expression, tone of voice, and input content to recognize emotions.

[1660] Step 5:

[1661] The server uses generative AI to customize ad copy based on the recognized emotion data, for example by adding words and phrases that users responded positively to.

[1662] Step 6:

[1663] The server then begins the process of analyzing the target audience based on the customized ad copy. The server uses historical advertising data and market data to analyze which audience is most suitable for this ad. The results of the analysis are stored on the server.

[1664] Step 7:

[1665] The server selects the optimal advertising medium based on the results of the target audience analysis. For example, if it determines that social media is the best medium to reach a specific age group or region, it will select that medium. The selection results are stored on the server.

[1666] Step 8:

[1667] The server distributes the ad copy to the selected advertising media. After distribution, the server collects data to monitor the performance of the ad. The collected data is analyzed in real time.

[1668] Step 9:

[1669] The server predicts advertising effectiveness in real time, and if performance is poor, optimizes the ad copy or media. For example, it modifies the ad copy to make it more appealing or switches to a different media. The optimized ad copy is then redistributed and its effectiveness is monitored.

[1670] Step 10:

[1671] The user sets an advertising budget on the platform. The server automatically adjusts advertising amounts based on the set advertising budget. The server manages advertising to maximize effectiveness within the user's budget.

[1672] Example 2

[1673] 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."

[1674] In today's world, it is difficult for small businesses and small and medium-sized enterprises to create, distribute, and optimize effective web advertisements, as this requires specialized knowledge. Furthermore, the lack of a means to customize ad copy using emotional data makes it difficult to create advertisements that appeal to users. Given this background, there is a demand for a platform that allows even non-specialized users to easily create, distribute, and optimize effective advertisements.

[1675] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1676] In this invention, the server includes means for inputting product or service data, means for utilizing a generation AI to generate advertising copy based on the product or service data, means for utilizing an emotion engine to recognize emotions based on the generated advertising copy and user operation data, means for selecting optimal advertising distribution media for delivering the advertising copy to a target audience, and means for delivering the advertising copy to the selected advertising distribution media. This enables even users without specialized knowledge to easily generate effective online advertisements based on emotions, deliver them to appropriate audiences, and further optimize their effectiveness in real time.

[1677] "Product or Service Data" refers to information such as product features, descriptions, and prices of products provided by Users.

[1678] "Generative AI" refers to artificial intelligence technology that automatically generates advertising copy based on input data.

[1679] An "emotion engine" refers to technology that analyzes user operation data (facial expressions, tone of voice, input content, etc.) and recognizes emotions.

[1680] "Advertising Delivery Medium" refers to the internet platform or channel (e.g., social media, search engines, etc.) through which the generated advertising copy is delivered to the target audience.

[1681] "Target audience" refers to the group of users with a particular age group, geographic location, or interests that a particular ad copy is intended to appeal to.

[1682] "Advertising amount" refers to the portion of the advertising budget paid to deliver an advertisement.

[1683] "Real-time prediction" refers to technology that instantly evaluates and analyzes the effectiveness of an advertisement while it is being delivered, and obtains results.

[1684] "Ad copy optimization" refers to the process of adjusting and improving the content of ad copy and distribution media in order to increase the effectiveness of advertising.

[1685] This invention relates to a platform that enables small businesses and small and medium-sized enterprises to easily create, distribute, and optimize effective web advertisements. This platform utilizes generative AI and an emotion engine to automatically generate advertisement copy, analyze target audiences, select optimal advertisement distribution media, predict and optimize advertising effectiveness in real time, and automatically manage advertising budgets.

[1686] 1. Platform Configuration

[1687] The platform consists of the following main components:

[1688] A means of entering product or service data

[1689] A method for generating ad copy using generative AI

[1690] A means of recognizing user emotions using an emotion engine

[1691] A method for selecting the optimal advertising delivery medium to deliver advertising copy to the target audience

[1692] A means of distributing advertising copy to selected advertising media

[1693] A means to predict and optimize ad copy effectiveness in real time (optional)

[1694] A means to set advertising budgets and automatically adjust advertising spending (optional)

[1695] 2. Hardware and Software Used

[1696] Hardware

[1697] Devices: PC, smartphone

[1698] Server: Cloud server

[1699] software

[1700] web browser: interface through which a user enters information

[1701] Server authentication system: A system for performing user authentication.

[1702] Generative AI model: Artificial intelligence for automatically generating ad copy, such as OpenAI's GPT-4

[1703] Emotion engine: Software for recognizing user emotions, such as Affectiva's SDK

[1704] Advertisement distribution system: A system for distributing ad copy (e.g., Facebook API)

[1705] Budget control system: a system for managing advertising budgets

[1706] Database: A system for storing user information, product information, advertising copy, emotional data, advertising effectiveness data, etc.

[1707] 3. Examples of Platform Operation

[1708] Example 1: Creating an advertisement for fresh organic vegetables

[1709] 1. Enter user information

[1710] Users access the platform using a PC or smartphone and enter their login information. The server performs user authentication, and if successful, the user is redirected to a product information input screen.

[1711] The user types in "fresh organic vegetables for sale," then fills in the product description and price. Once the input is complete, the user clicks the "Send" button, and the device sends the information to the server.

[1712] 2. Generating ad copy using generative AI

[1713] The server sends the received product information to a generation AI (e.g., GPT-4), which then generates an ad copy such as, "Fresh organic vegetables delivered every day! Try them at a special price!" The generated ad copy is stored on the server.

[1714] 3. Emotion engine for user emotion recognition and customization

[1715] When a user reviews an ad copy, the server uses an emotion engine (e.g., Affectiva) to analyze the user's facial expressions and tone of voice to recognize emotional data, and customizes the ad copy based on this data.

[1716] For example, add words or phrases that users respond positively to.

[1717] 4. Target audience analysis and advertising media selection

[1718] The server refers to past advertising data and market data to analyze the target audience, and then selects the optimal advertising delivery medium (e.g., Facebook, Instagram).

[1719] 5. Delivery of ad copy

[1720] The server distributes the advertisement copy to the selected advertisement distribution media. After distribution, the server collects and stores advertisement performance data in real time.

[1721] 6. Advertising effectiveness prediction and optimization (optional)

[1722] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy and distribution medium as necessary, for example by changing the wording of the advertisement copy or switching to a different advertisement distribution medium.

[1723] 7. Advertising budget management (optional)

[1724] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending based on the budget.

[1725] Prompt Sentence Examples

[1726] Here are some examples of prompts that can be used to generate specific ad copy for the AI:

[1727] "Create an ad for fresh organic vegetables. The feature is that they deliver fresh vegetables every day and you can try them at a special price."

[1728] This platform allows users to easily generate, distribute, and manage effective web advertisements that utilize emotional data, even if they do not have specialized knowledge.

[1729] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1730] Step 1:

[1731] Users access the platform using a device such as a PC or smartphone and enter their login information.

[1732] Input: Username, Password

[1733] Data processing: The server receives the login information and authenticates the user by referencing the database.

[1734] Output: Authentication success message (if successful), error message (if unsuccessful)

[1735] Specifically, the user opens a web browser, accesses the platform URL, enters their username and password in the login form, and clicks the submit button. If authentication is successful, the server transitions to the product information input screen.

[1736] Step 2:

[1737] The user enters product or service data.

[1738] Input: Product name, product features, description, price

[1739] Data processing: The terminal sends the entered product data to the server, which then stores the data in a database.

[1740] Output: Product data saving completion message

[1741] Specifically, the user enters information such as the product name "Fresh organic vegetables," the description "Fresh vegetables delivered every day," and the price "1,000 yen," and clicks the "Submit" button.

[1742] Step 3:

[1743] The server sends the received product information to the generation AI.

[1744] Input: Product data

[1745] Data processing: The server sends the product data to a generative AI (e.g., GPT-4), and the generative AI model generates advertising copy based on the input data.

[1746] Output: Generated ad text

[1747] The server sends a prompt containing product information to the generative AI model, which then generates and returns the ad copy: "Fresh organic vegetables delivered daily! Try them at a special price!"

[1748] Step 4:

[1749] The server recognizes emotions using an emotion engine based on the generated advertising copy and user operation data.

[1750] Input: Ad copy, user operation data (facial expressions, tone of voice, input content)

[1751] Data processing: The server sends the data to the emotion engine, which analyzes it and recognizes the emotion data.

[1752] Output: Recognized emotion data

[1753] Specifically, the emotion engine analyzes the user's facial expressions and tone of voice when reviewing the advertisement copy, and returns positive emotion data to the server.

[1754] Step 5:

[1755] The server analyzes the target audience and selects the optimal advertising delivery medium.

[1756] Input: Ad copy, historical ad data, market data

[1757] Data processing: The server analyzes this data and selects the optimal target audience and advertising delivery medium.

[1758] Output: Target audience analysis results, advertising media selection results

[1759] Specifically, the server determines that Facebook is the best distribution medium based on past data that shows that women in their 30s and 40s are highly interested in organic vegetables.

[1760] Step 6:

[1761] The server distributes the advertisement copy to the selected advertisement distribution medium.

[1762] Input: Ad copy, selected ad distribution medium

[1763] Data processing: The server sends the advertising copy to the advertising distribution medium and collects data on the distribution status.

[1764] Output: Delivery status data, performance data

[1765] Specifically, the server distributes the ad copy via the Facebook API and collects performance data such as the number of clicks and impressions in real time.

[1766] Step 7:

[1767] The server predicts the effectiveness of the advertisement in real time and optimizes the advertisement copy or distribution medium as necessary.

[1768] Input: Ad performance data

[1769] Data processing: The server analyzes performance data and optimizes the ad copy and distribution media if the effect is low.

[1770] Output: Optimized ad copy, distribution medium

[1771] Specifically, the server optimizes ad copy with low click-through rates by adding keywords such as "limited time offer" and delivers it again.

[1772] Step 8:

[1773] Users set their advertising budget on the platform, and the server automatically adjusts advertising spending.

[1774] Input: Advertising budget setting data

[1775] Data processing: The server automatically adjusts advertising amounts based on the set advertising budget.

[1776] Output: Adjusted ad spend

[1777] Specifically, the user sets an advertising budget of 30,000 yen, and the server adjusts the amount of advertising to achieve maximum effectiveness within that budget.

[1778] (Application example 2)

[1779] 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."

[1780] Currently, creating and distributing effective web advertisements requires specialized knowledge and advanced technology, consuming significant resources. This makes it difficult for retailers and small businesses to independently publish and manage effective advertisements. Furthermore, reflecting user sentiment in advertising copy requires even more advanced technology, which is costly and time-consuming. To address this situation, the present invention aims to provide a system that enables small businesses and small businesses to efficiently and effectively create and distribute advertisements.

[1781] 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.

[1782] In this invention, the server includes a means for inputting product or service information, a means for utilizing a generation AI to generate advertising copy based on the product or service information, and a means for utilizing an emotion engine to analyze user emotions and optimize the advertising copy. This enables small and medium-sized enterprises and small shops to effectively generate advertising copy and place optimal advertisements based on user emotions, even without advanced specialized knowledge.

[1783] "Product or service information" refers to detailed information about the products or services provided by the user, such as features, descriptions, and prices.

[1784] "Generative AI" refers to artificial intelligence that automatically generates advertising copy based on product or service information.

[1785] An "emotion engine" is a system that analyzes data such as a user's facial expressions, tone of voice, and input content to recognize emotions, and uses this information to optimize advertising copy.

[1786] A "target audience" is a specific group of consumers that an advertisement is intended to reach.

[1787] "Advertising medium" refers to the medium or platform used to distribute advertising copy, such as a social media site or website.

[1788] "Ad copy" is text used to promote a product or service, and is generated by AI.

[1789] An "advertising budget" is the amount of money a store or company sets for advertising purposes.

[1790] The "advertising expenditure" is the amount of money actually used to place an advertisement based on the set advertising budget.

[1791] "Advertising effectiveness" refers to the impact and response of an advertisement on the target audience, and is an indicator that measures the success and efficiency of an advertisement.

[1792] "Real-time prediction" means instantly evaluating the effectiveness of ads as they are delivered and optimizing them as needed.

[1793] The present invention provides a system that enables small and medium-sized enterprises and small shops to easily create and distribute effective web advertisements. Specific embodiments of the system are described below.

[1794] System Components

[1795] 1. A means of entering product or service information

[1796] Users use devices such as smartphones and computers to input information about the products and services they offer, including product features, descriptions, and prices.

[1797] 2. Generating ad copy using generative AI

[1798] The server automatically generates ad copy using a generation AI based on the input product information. This generation AI uses the text generation library "textgenrnn." The generated ad copy is returned to the server and saved.

[1799] 3. A method for recognizing user emotions using an emotion engine

[1800] The server uses an emotion analysis API to recognize the user's emotions. It analyzes data such as the user's facial expressions, tone of voice, and input content when checking the ad copy to obtain the user's emotional data. This emotional data is used to optimize the ad copy.

[1801] 4. A method for selecting the best advertising media to deliver your ad copy to your target audience.

[1802] The server selects the optimal advertising media based on the emotion data and advertising copy, using past advertising data and market data.

[1803] 5. Means of distributing advertising copy to selected advertising media

[1804] The server distributes the ad copy to the selected advertising media, for example, by posting the ad copy on social media sites or websites.

[1805] Hardware and Software

[1806] Hardware: The device used by the user (smartphone, PC, etc.) and the server for generating ad copy and analyzing sentiment.

[1807] Software: Generative AI model (textgenrnn), sentiment analysis API

[1808] Specific examples

[1809] Advertising for fresh organic vegetables

[1810] 1. Enter product information

[1811] The user uses the terminal to enter "fresh organic vegetables, fresh daily, special prices."

[1812] 2. Generating ad copy using generative AI

[1813] The server sends the information to the AI ​​generator, which then generates the ad copy: "We deliver fresh organic vegetables every day! Try them now at a special price!"

[1814] 3. Emotion engine for user emotion recognition and customization

[1815] Use sentiment analysis API to analyze the sentiment of users when they view ad copy and optimize the ad copy, for example, by adding words that indicate positive sentiment.

[1816] 4. Target audience analysis and advertising media selection

[1817] The server determines that social media is the best advertising medium and delivers the ad copy there.

[1818] 5. Delivery of ad copy

[1819] The server distributes the advertisement copy to the selected social media.

[1820] Prompt Sentence Examples

[1821] "Fresh organic vegetables delivered daily! Try it now at a special price! (Emotional data: Positive, Advertising medium: Social media)"

[1822] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1823] Step 1:

[1824] The user uses a terminal to access a screen for entering product or service information. The input screen contains items such as product features, description, and price, and the user enters this information. The entered information is sent to the server by clicking the "Send" button. The input at this point is text data such as product features, description, and price. The output is the text data of the product information received by the server.

[1825] Step 2:

[1826] The server sends data to the generation AI based on the received product information. The generation AI model (textgenrnn) analyzes the text data to generate ad copy based on this information. The generated ad copy is returned to the server and saved. The input is text data of the product information, and the output is text data of the generated ad copy.

[1827] Step 3:

[1828] After the ad copy is generated, the server uses an emotion engine to recognize the user's emotions. Using an emotion analysis API, the server analyzes the user's facial expression data, voice tone, and input content when reviewing the ad copy to obtain emotion data. The analysis results are stored on the server as emotion data. The input is the user's reaction data when reviewing the ad copy, and the output is emotion data.

[1829] Step 4:

[1830] The server customizes the ad copy based on the emotion data. As a result of the emotion analysis, optimization is performed, such as adding words that indicate positive emotions from users to the ad copy. The optimized ad copy is saved on the server. The input is emotion data and the text data of the ad copy, and the output is the optimized text data of the ad copy.

[1831] Step 5:

[1832] The server analyzes the target audience based on the optimized ad copy and selects the optimal advertising medium using past advertising data and market data. The selected advertising medium can be social media or a website. The input is the text data of the optimized ad copy, past advertising data, and market data, and the output is information on the selected advertising medium.

[1833] Step 6:

[1834] The server distributes the ad copy to the selected advertising media, for example by posting the ad copy on a social media site. After distribution, the server collects performance data of the ad and analyzes the advertising effectiveness in real time. The input is information about the selected advertising media and the text data of the ad copy, and the output is the performance data of the ad.

[1835] Step 7:

[1836] After an ad is delivered, the server predicts its effectiveness in real time and optimizes the ad copy and media as necessary. For example, it may modify the ad copy or change to a different media. The optimized ad copy is then delivered again and its effectiveness is monitored. The input is the ad performance data, and the output is the optimized ad copy and the selected media.

[1837] 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.

[1838] 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.

[1839] 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.

[1840] 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.

[1841] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1842] 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.

[1843] 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).

[1844] 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.

[1845] 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."

[1846] 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.

[1847] 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).

[1848] 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.

[1849] 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.

[1850] 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.

[1851] 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.

[1852] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1853] 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.

[1854] 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.

[1855] 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.

[1856] 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.

[1857] 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.

[1858] The following is further disclosed regarding the above embodiment.

[1859] (Claim 1)

[1860] a means for inputting product or service information;

[1861] A means for utilizing a generation AI to generate advertising copy based on information about the product or service;

[1862] A means for selecting an optimal advertising medium for delivering the advertising copy to a target audience;

[1863] means for distributing the advertising copy to the selected advertising media;

[1864] A system including:

[1865] (Claim 2)

[1866] 2. The system according to claim 1, further comprising means for predicting the effectiveness of the advertisement copy in real time and optimizing the advertisement copy or the advertisement placement medium.

[1867] (Claim 3)

[1868] 2. The system according to claim 1, further comprising means for allowing a store to set an advertising budget and automatically adjusting advertising expenditures based on the advertising budget.

[1869] "Example 1"

[1870] (Claim 1)

[1871] a means for inputting product or service information;

[1872] A means for utilizing a generative AI model to generate advertising copy based on information about the product or service;

[1873] A means for selecting an optimal advertising medium for delivering the advertising copy to a target audience;

[1874] means for distributing the advertising copy to the selected advertising media;

[1875] A means for predicting advertising effectiveness in real time and optimizing advertising copy or advertising media;

[1876] a means for setting an advertising budget and automatically adjusting an advertising expenditure based on the advertising budget;

[1877] A system including:

[1878] (Claim 2)

[1879] 2. The system according to claim 1, further comprising means for predicting the advertising effect in real time and optimizing the advertising copy or the advertising media.

[1880] (Claim 3)

[1881] 2. The system according to claim 1, further comprising means for setting an advertising budget and automatically adjusting advertising expenditures based on the advertising budget.

[1882] "Application Example 1"

[1883] (Claim 1)

[1884] a means for inputting product or service information;

[1885] A means for utilizing a generation AI to generate advertising copy based on information about the product or service;

[1886] A means for selecting an optimal advertising medium for delivering the advertising copy to a target audience;

[1887] means for distributing the advertising copy to the selected advertising media;

[1888] A means for providing a user interface operable on a smartphone;

[1889] a means for setting up distribution to post the generated advertisement copy;

[1890] A system including:

[1891] (Claim 2)

[1892] 2. The system according to claim 1, further comprising means for predicting the effectiveness of the advertisement copy in real time and optimizing the advertisement copy or the advertisement placement medium.

[1893] (Claim 3)

[1894] 2. The system according to claim 1, further comprising means for allowing a store to set an advertising budget and automatically adjusting advertising expenditures based on the advertising budget.

[1895] "Example 2: Combining Emotion Engines"

[1896] (Claim 1)

[1897] a means for inputting product or service data;

[1898] A means for utilizing a generation AI to generate advertising copy based on data on the product or service;

[1899] A means for utilizing an emotion engine that recognizes emotions based on the generated advertising copy and user operation data;

[1900] A means for selecting an optimal advertising distribution medium for distributing the advertising copy to a target audience;

[1901] means for distributing the advertising copy to the selected advertising distribution medium;

[1902] A system including:

[1903] (Claim 2)

[1904] 2. The system according to claim 1, further comprising means for predicting the effectiveness of the advertising copy in real time and optimizing the advertising copy or the advertising distribution medium.

[1905] (Claim 3)

[1906] 2. The system according to claim 1, further comprising means for allowing a business to set an advertising budget and automatically adjusting advertising expenditures based on the advertising budget.

[1907] "Application example 2 when combining emotion engines"

[1908] (Claim 1)

[1909] a means for inputting product or service information;

[1910] A means for utilizing a generation AI to generate advertising copy based on information about the product or service;

[1911] A means for selecting an optimal advertising medium for delivering the advertising copy to a target audience;

[1912] means for distributing the advertising copy to the selected advertising media;

[1913] A means for analyzing user emotions and utilizing an emotion engine to optimize ad copy;

[1914] A system including:

[1915] (Claim 2)

[1916] 2. The system according to claim 1, further comprising means for predicting the effectiveness of the advertisement copy in real time and optimizing the advertisement copy or the advertisement placement medium.

[1917] (Claim 3)

[1918] 2. The system according to claim 1, further comprising means for allowing a store to set an advertising budget and automatically adjusting advertising expenditures based on the advertising budget. [Explanation of symbols]

[1919] 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. a means for inputting product or service information; A means for utilizing a generation AI to generate advertising copy based on information about the product or service; A means for selecting an optimal advertising medium for delivering the advertising copy to a target audience; means for distributing the advertising copy to the selected advertising media; A system including:

2. The system according to claim 1 , further comprising means for predicting the effectiveness of the advertisement copy in real time and optimizing the advertisement copy or the advertisement placement medium.

3. 2. The system according to claim 1, further comprising means for allowing a store to set an advertising budget and automatically adjusting the amount of advertising expenditure based on the advertising budget.

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