system

Abstract

Provide a system. [Solution] means for inputting business information through a data processing device; A means for generating a business plan proposal based on input business information using a generative artificial intelligence model; means for presenting the generated business plan proposal on a display device; A means of collecting user feedback on the proposed business plan; a means for reapplying the generative artificial intelligence model based on the collected feedback to generate a new business plan proposal; A system including:

Description

[Technical Field]

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

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

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

[0004] When starting a new business, entrepreneurs need to develop detailed business plans to raise funds, but this process is complex and burdensome. Investors also need to select the right investment targets from among many candidate companies, but this decision is not easy. Under these circumstances, there is a need for support tools to help both entrepreneurs and investors develop plans and make investment decisions efficiently and effectively. Furthermore, it is desirable to provide similar support to external companies to help them monetize their investments. [Means for solving the problem]

[0005] The present invention provides a system that inputs business information using a data processing device, generates a business plan proposal based on the input business information using a generative artificial intelligence model, and presents the business plan proposal on a display device. The system further includes a means for collecting user feedback on the business plan proposal and reapplying the generative artificial intelligence model based on the collected feedback to generate a new business plan proposal. The system also includes a means for inputting information on a target company for investment, evaluating the input company information using the generative artificial intelligence model based on past investment successes and failures, and presenting the evaluation results on a display device. The system further includes a means for managing usage requests from external companies, providing a service for using the generative artificial intelligence model, and a means for monitoring the usage status of external companies and charging usage fees. This system streamlines the development of business plans for entrepreneurs, supports investor decision-making, and provides similar services to external companies, thereby realizing a system that is useful to a wide range of users.

[0006] A "data processing device" is a device used to receive information input by a user and to transmit or store that information.

[0007] "Business information" refers to all data about a business that is necessary to formulate a business plan, and specifically includes information such as business ideas, market analysis, competitive analysis, and financial plans.

[0008] "Generative artificial intelligence models" refer to algorithms and programs that generate or evaluate new data based on pre-trained datasets.

[0009] A "business plan" is a detailed planning document necessary to evaluate the feasibility of a business idea, and includes elements such as market analysis, competitive analysis, financial planning, and risk assessment.

[0010] A "display device" is a device that visually displays information entered by the user, generated business plans, evaluation results, etc., and specifically refers to a computer monitor or smartphone screen.

[0011] "Feedback" refers to the correction instructions and suggestions for improvement that users give to the business plan proposal provided.

[0012] An "evaluation algorithm" is a calculation method for analyzing input data and calculating results based on that data.

[0013] "Past investment success stories" and "failure stories" refer to examples of successful and unsuccessful investments made in the past, and the data serves as reference information that will be useful for future decision-making.

[0014] A "use request" is a request submitted by an external company to use the services of this system.

[0015] "Usage fee" refers to the money paid by external companies as consideration for using the services of this system. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

[0024] [First embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0037] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[0038] overview

[0039] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[0040] Overall system configuration

[0041] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[0042] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[0043] 3. Display device (terminal): Visually displays the generated business plan proposal and evaluation results to the user.

[0044] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[0045] Program processing flow

[0046] Business plan development for entrepreneurs

[0047] 1. Data Entry

[0048] Users (entrepreneurs) log in to the terminal and enter business information such as business ideas, market analysis, competitive analysis, and financial plans.

[0049] The server receives the business information entered by the user and stores it in a database.

[0050] 2. Generate a business plan

[0051] The server feeds the stored business information to the generative AI model.

[0052] The generative AI model generates an initial business plan proposal based on the input information.

[0053] The server stores the generated business plan in a database and sends it to the user's terminal.

[0054] 3. Feedback and Regeneration

[0055] The user (entrepreneur) reviews the proposed business plan and, if necessary, enters corrections or improvements into a feedback form.

[0056] The server receives user feedback and feeds it back into the generative AI model.

[0057] The generative AI model generates a new business plan that reflects the feedback, and the server stores this in a database and sends it to the user's device.

[0058] Investor evaluation of investee companies

[0059] 1. Enter your company information

[0060] Users (investors) log in to the terminal and enter information about the company they are considering investing in.

[0061] The server receives the company information entered by the user and stores it in a database.

[0062] 2. Evaluation support

[0063] The server provides the stored business information to the rating algorithm.

[0064] The evaluation algorithm evaluates based on past successful and unsuccessful investment cases and generates risk and return evaluation results.

[0065] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[0066] Specific examples

[0067] Examples of business plan development for entrepreneurs

[0068] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be specified. The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[0069] Specific examples of investor evaluations of investee companies

[0070] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[0071] Providing services to external companies

[0072] This system can also be used by external companies. When an external company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments. The server monitors the usage status of external companies and provides necessary support.

[0073] The above is a specific embodiment for carrying out the present invention. This system improves the efficiency of business planning and investment decisions, and can provide useful value to a wide range of users.

[0074] The processing flow will be explained below.

[0075] Business plan development for entrepreneurs

[0076] Data entry and initial business plan generation

[0077] Step 1:

[0078] A user (entrepreneur) logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[0079] Step 2:

[0080] The terminal stores the entered business information locally and prepares it for transmission to the server.

[0081] Step 3:

[0082] The server receives the business information sent from the terminal.

[0083] Step 4:

[0084] The server stores the received business information in a database.

[0085] Step 5:

[0086] The server retrieves stored business information from the database and feeds it into the generative AI model.

[0087] Step 6:

[0088] The generative AI model generates an initial business plan proposal based on the business information provided.

[0089] Step 7:

[0090] The server stores the generated initial business plan in a database.

[0091] Step 8:

[0092] The server sends the initial business plan to the user's terminal.

[0093] Step 9:

[0094] The terminal displays the received business plan to the user.

[0095] Feedback and Regeneration

[0096] Step 10:

[0097] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[0098] Step 11:

[0099] The terminal stores the feedback locally and prepares to send it to the server.

[0100] Step 12:

[0101] The server receives the feedback sent from the terminal.

[0102] Step 13:

[0103] The server re-feeds the received feedback to the generative AI model.

[0104] Step 14:

[0105] The generative AI model generates a new business plan proposal that reflects the feedback.

[0106] Step 15:

[0107] The server stores the new business plan in a database.

[0108] Step 16:

[0109] The server transmits the regenerated business plan to the user's terminal.

[0110] Step 17:

[0111] The terminal displays the received new business plan to the user.

[0112] Investor evaluation of investee companies

[0113] Company information input and evaluation support

[0114] Step 1:

[0115] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[0116] Step 2:

[0117] The terminal locally stores the input company information and prepares it for transmission to the server.

[0118] Step 3:

[0119] The server receives the company information sent from the terminal.

[0120] Step 4:

[0121] The server stores the received company information in a database.

[0122] Step 5:

[0123] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[0124] Step 6:

[0125] The evaluation algorithm evaluates company information based on past investment successes and failures.

[0126] Step 7:

[0127] The server generates the evaluation results and stores them in a database.

[0128] Step 8:

[0129] The server transmits the evaluation results to the user's terminal.

[0130] Step 9:

[0131] The terminal displays the received evaluation results to the user.

[0132] Providing services to external companies

[0133] Usage requests and service provision

[0134] Step 1:

[0135] External companies send requests to use the system from their terminals.

[0136] Step 2:

[0137] The server receives a usage request from an external company.

[0138] Step 3:

[0139] Based on the usage request, the server creates an account for the external company and calculates the usage fee.

[0140] Step 4:

[0141] An external company pays the usage fee.

[0142] Step 5:

[0143] The server grants external companies permission to use the generated AI model.

[0144] Step 6:

[0145] External companies can use the generated AI model on their devices to develop their own business plans and evaluate investments.

[0146] Step 7:

[0147] The server monitors the usage of external companies and provides necessary support.

[0148] The above is a concrete explanation of the processing of the system program.

[0149] Example 1

[0150] 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."

[0151] Traditional business planning and investment evaluation methods required a lot of time and effort to manually collect and analyze information, making them inefficient. The process of collecting feedback and then regenerating the plan based on that feedback was also time-consuming, making it difficult to make quick decisions. Furthermore, there was no system in place for managing and billing external companies when using these tools, making them ineffective.

[0152] 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.

[0153] In this invention, the server includes means for inputting business information using a data processing device, means for generating a business plan proposal based on the input business information using a generative AI model, means for presenting the generated business plan proposal on a display device, means for collecting user feedback on the presented business plan proposal, means for reapplying the generative AI model based on the collected feedback to generate a new business plan proposal, and means for presenting the presented business plan proposal and evaluation results again on the display device, thereby enabling users to quickly and efficiently formulate business plans and make investment decisions.

[0154] A "data processing device" is an electronic device used to input and store business information and feed it into generative AI models and evaluation algorithms.

[0155] "Business information" refers to data necessary for formulating a business plan, such as business ideas, market analysis, competitive analysis, and financial plans.

[0156] A "generative AI model" is an artificial intelligence system that automatically generates a business plan proposal based on input business information and regenerates it based on user feedback.

[0157] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[0158] "Feedback" refers to opinions and comments provided by users regarding corrections and improvements to the generated business plan proposal and evaluation results.

[0159] An "evaluation algorithm" is a calculation method and process for analyzing past investment successes and failures to assess the risk and return of target companies.

[0160] "External organization" refers to an external company or institution that uses this system, including users who are the subject of system usage requests and billing management.

[0161] "Usage Request" refers to a service request made by an external organization to use this system.

[0162] "Usage Fee" means the amount payable by an External Organization for use of this System.

[0163] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[0164] System configuration

[0165] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[0166] 1. Data processing device (server):

[0167] The server is a device that receives business and corporate information entered by users from their terminals and supplies the necessary data to the generative AI model and evaluation algorithm.

[0168] The data is stored in a database and used for processing generative AI models and analysis of evaluation algorithms.

[0169] 2. Generative AI model (on the server):

[0170] The generative AI model located on the server generates a business plan proposal based on the business information entered by the user.

[0171] To achieve complete automation, the system also has the ability to reflect user feedback and regenerate new business plan proposals.

[0172] 3. Display Device (Terminal):

[0173] The terminal is a device that visually displays the generated business plan proposal and evaluation results to the user.

[0174] Users who log in to the terminal can enter business information, check the generated plan and evaluation results, and provide feedback.

[0175] 4. Users (entrepreneurs and investors):

[0176] A user is a person who accesses the system and enters the necessary business or company information.

[0177] Check the plans and evaluation results generated based on the information entered and provide feedback as needed.

[0178] Specific examples

[0179] Examples of business plan development for entrepreneurs

[0180] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives the information and supplies it to the generative AI model. The generative AI model generates a business plan that includes market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, such as "I would like the advertising strategy to be more specific." The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[0181] Example prompt sentence:

[0182] "Business idea: Online learning platform. Market: Online education market. Competitive analysis: Strategies and market share of key competitors. Financial planning: Initial investment and revenue projections."

[0183] Specific examples of investor evaluations of investee companies

[0184] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives the information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[0185] Example prompt sentence:

[0186] "Company Information: Educational startups. Evaluating the risk and return of companies based on past investment cases."

[0187] Providing services to external companies

[0188] This system can also be used by external companies. When a company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments, and the server monitors the external companies' usage and provides any necessary support.

[0189] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0190] Business plan development for entrepreneurs

[0191] Step 1: Data entry

[0192] After logging in to the dedicated terminal, the user inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[0193] Specific operations: The user enters specific business information such as "Business idea: online learning platform" and "Market analysis: current state of the online education market and potential customer demographics" into the form input screen.

[0194] Input: User-entered business information

[0195] Output: Business information sent to the server

[0196] The server receives the input information in real time and stores it in a database.

[0197] Step 2: Generate a business plan

[0198] The server transfers the business information stored in the database to the generative AI model.

[0199] Specific operation: The server extracts information such as "market analysis," "competitive analysis," and "financial planning" from the database and supplies it to the generative AI model.

[0200] Input: Business information extracted from a database

[0201] Output: Business information to feed the generative AI model

[0202] The generative AI model generates an initial business plan proposal based on the information provided.

[0203] How it works: The generative AI model creates prompt statements and analyzes input data, such as "Business idea: online learning platform; Market analysis: current state and potential customer base of the online education market; Competitive analysis: strategies of major competitors," to generate a business plan.

[0204] Input: Business information fed into the generative AI model

[0205] Output: Generated initial business plan

[0206] The server stores the generated business plan again in the database and transmits it to the user's terminal.

[0207] Step 3: Feedback and Regeneration

[0208] The user checks the proposed business plan and enters any shortcomings or corrections in the feedback form.

[0209] Specific Action: After reviewing the plan, the user provides feedback such as "I would like you to specify the advertising strategy."

[0210] Input: User-provided feedback

[0211] Output: Feedback information sent to the server

[0212] The server receives the user's feedback and forwards it back to the generative AI model.

[0213] Specific action: The server sends it to the generative AI model and adds the prompt "Specify your advertising strategy" to prompt regeneration.

[0214] Input: Feedback information

[0215] Output: Feedback information for transfer to the generative AI model

[0216] The generative AI model reflects the feedback and generates a new business plan proposal.

[0217] Specific actions: The generative AI model generates new plans and adds specific advertising strategies.

[0218] Input: Feedback information received from users

[0219] Output: Revised new business plan

[0220] The server stores the revised business plan in a database and transmits it to the user's terminal.

[0221] Investor evaluation of investee companies

[0222] Step 1: Enter your company information

[0223] The user logs in to a dedicated terminal and enters information about the target company.

[0224] Specific operation: The user enters information such as "Company information: Startup in the education field" and "Company financial data."

[0225] Input: Company information entered by the user

[0226] Output: Company information sent to the server

[0227] The server receives the entered company information in real time and stores it in a database.

[0228] Step 2: Evaluation support

[0229] The server supplies the business information stored in the database to the rating algorithm.

[0230] Specific operation: The server extracts financial and market information about companies from the database and feeds it into the valuation algorithm.

[0231] Input: Company information extracted from the database

[0232] Output: Company information to feed into the rating algorithm

[0233] The rating algorithm assesses the risk and return of a company based on past investment successes and failures.

[0234] Specific operation: The evaluation algorithm analyzes past data on "education startups" and generates evaluation results for "market growth rate, high return expectations, and technical risk."

[0235] Input: Company information provided

[0236] Output: Generated evaluation results

[0237] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[0238] Providing services to external companies

[0239] Step 1: Manage usage requests

[0240] When an external organization sends a usage request, the server receives the request and stores it in a database.

[0241] Specific operation: The external organization sends a usage request, which the server receives and stores in the database.

[0242] Input: Request to use external organization

[0243] Output: Usage request information stored in the database

[0244] Step 2: Providing the service

[0245] The server provides external organizations with a service for using the generated AI model.

[0246] Specific operation: The server provides the access information and configuration instructions necessary for use by external organizations.

[0247] Input: Usage request information retrieved from the database

[0248] Output: Information required to provide the service

[0249] Step 3: Monitoring usage and billing

[0250] The server monitors the usage status of external organizations and charges them for usage.

[0251] Specific operation: The server monitors the frequency and duration of use by external organizations, calculates the usage fee based on that information, and bills the user.

[0252] Input: Usage data from external organizations

[0253] Output: Usage fee calculation results and invoice

[0254] The above is a specific explanation of the process flow of this system, divided into processing steps.

[0255] (Application example 1)

[0256] 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."

[0257] Traditionally, it has taken a great deal of time and effort for entrepreneurs to develop business plans and for investors to make investment decisions. Furthermore, there has been no effective system for easily visualizing generated business plans and evaluation results, and regenerating them in real time to reflect feedback. Therefore, there has been a demand for technology that efficiently performs the entire process of collecting business information, evaluating it, generating plans, and providing feedback. Furthermore, there are insufficient means to display generated information in real time on smart devices, leaving the challenge of improving user convenience.

[0258] 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.

[0259] In this invention, the server includes a means for inputting business information using a data processing device, a means for generating a business plan proposal based on the input business information using a generative artificial intelligence model, a means for presenting the generated business plan proposal on a display device, a means for collecting user feedback on the presented business plan proposal, a means for reapplying the generative artificial intelligence model based on the collected feedback to generate a new business plan proposal, and a means for displaying the generated business plan proposal in real time on a smartphone, smart glasses, a head-mounted display, or a robot as a content distribution service. This streamlines the series of processes for entrepreneurs to efficiently formulate business plans and investors to make appropriate investment decisions, and makes it possible to display the generated information on a smart device in real time.

[0260] A "data processing device" is a device that inputs business or corporate information, processes that information appropriately, and stores it in a database.

[0261] A "generative artificial intelligence model" is an algorithm or program that generates business plan proposals and evaluation results based on input business and corporate information.

[0262] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[0263] "Feedback" refers to corrections and opinions provided by users regarding the proposed business plan.

[0264] "Reapplication" means running the generative artificial intelligence model again based on the collected feedback.

[0265] The "content distribution service" is a service that provides users with generated business plans and evaluation results in real time via smart devices.

[0266] A "smartphone" is a multifunctional portable information terminal that allows users to access a variety of services through applications.

[0267] "Smart glasses" are eyeglass-type devices that have the function of displaying information in the wearer's field of vision.

[0268] A "head-mounted display" is a display device worn on the user's head to provide visual information.

[0269] A "robot" is a device that operates autonomously or remotely and has the ability to collect and process information.

[0270] "Information on investment target companies" refers to detailed data about companies in which investors are considering investing.

[0271] An "evaluation algorithm" is a calculation method or program that evaluates input corporate information based on past investment successes and failures.

[0272] "Real-time" means processing and providing information immediately, without delay.

[0273] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[0274] Overall system configuration

[0275] This system mainly consists of the following elements:

[0276] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[0277] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[0278] 3. Display device (smart device): Visually displays the generated business plan proposal and evaluation results to the user.

[0279] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[0280] 5. Evaluation algorithm: Based on past investment successes and failures, an evaluation of risk and return is generated.

[0281] Hardware used

[0282] Server: High-performance data processing server (e.g., AWS (registered trademark) EC2, Google (registered trademark) Cloud Compute Engine)

[0283] Display devices: smartphones, smart glasses, head-mounted displays, robots

[0284] Database: MongoDB

[0285] Generative AI model: GPT-4 (registered trademark) (or equivalent generative model)

[0286] Software used

[0287] Front-end software: Developing a smartphone app using React Native

[0288] Backend software: Implementing server and database integration using Node.js

[0289] Evaluation algorithm: Implemented using Python and Scikit-learn

[0290] Specific Examples

[0291] Business plan development for entrepreneurs

[0292] 1. Data Entry

[0293] The server allows users (entrepreneurs) to input business ideas and market analysis data through a front-end app.

[0294] The entered data is saved in a database (MongoDB) in real time via the server.

[0295] 2. Generate a business plan

[0296] The server feeds the stored business information into a generative AI model (GPT-4).

[0297] The generative AI model generates an initial business plan based on the input information.

[0298] The server stores the generated business plan in a database and sends it to the smart device.

[0299] 3. View and provide feedback on the proposed plan

[0300] The generated business plan proposal is presented to the user through a display device such as a smartphone or smart glasses.

[0301] The user (entrepreneur) reviews the proposed plan and enters feedback on corrections and improvements.

[0302] The server receives user feedback and feeds it back into the generative AI model (GPT-4).

[0303] 4. Regenerate your business plan

[0304] The generative AI model recreates a new business plan proposal that reflects the feedback.

[0305] The regenerated business plan is also saved in the database and re-presented on the smart device.

[0306] Investor evaluation of investee companies

[0307] 1. Enter your company information

[0308] The server allows users (investors) to input information about the company being evaluated through a front-end application.

[0309] The entered data is stored in a database.

[0310] 2. Evaluation support

[0311] The server feeds the stored business information into the rating algorithm.

[0312] The evaluation algorithm evaluates the input company information based on past investment successes and failures, and generates risk and return evaluation results.

[0313] The evaluation results are displayed in real time on the smart device.

[0314] Examples of concrete examples and prompts

[0315] Specific examples

[0316] For example, an entrepreneur wants to create a business plan for an "online health consultation platform." They input their business idea and market analysis, and the generative AI model (GPT-4) generates an initial business plan. The entrepreneur can then provide feedback, such as "I'd like you to strengthen the marketing strategy," and receive a regenerated business plan.

[0317] Prompt Sentence Examples

[0318] Generate a business plan for an online health consultation platform. Use the following information to create a detailed plan that includes market analysis, competitive analysis, and financial planning:

[0319] Business idea: Online health consultation platform

[0320] Market Analysis: Current Status of Online Medical Consultation Market

[0321] Competitive analysis: Competitors of existing online medical consultation services

[0322] Financial Planning: Initial Investment, Revenue Projections, Cash Flow

[0323] This approach allows users to efficiently plan their business and make investment decisions.

[0324] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0325] Step 1:

[0326] Data Entry

[0327] Users (entrepreneurs) input business information through a terminal. Specifically, information such as business ideas, market analysis, competitive analysis, and financial plans is entered. This information is sent to the server via an input form and stored in a database. The entered business information is processed and stored on the server, enabling subsequent data calculations.

[0328] Step 2:

[0329] Generate a business plan

[0330] The server retrieves business information stored in a database and supplies it to a generative AI model. The generative AI model (e.g., GPT-4) generates a business plan based on the provided business information. During this process, the input information is analyzed using a natural language processing algorithm, and a structured business plan is output. The generated business plan is stored in a database and sent to the user's device.

[0331] Step 3:

[0332] Display and confirmation

[0333] The user (entrepreneur) reviews the generated business plan on the device. Using a display device such as a smartphone, smart glasses, or head-mounted display, the generated business plan can be viewed in detail. Feedback is always provided to allow the user to evaluate the content of the business plan and identify any necessary revisions.

[0334] Step 4:

[0335] Enter your feedback

[0336] The user (entrepreneur) enters feedback on the displayed business plan. Specifically, they enter corrections and additional information into a feedback form on their device and send it to the server. The feedback data is stored in a database and supplied to the generative AI model. The feedback will be used as the basis for future data calculations.

[0337] Step 5:

[0338] Regenerate your business plan

[0339] The server then runs the generative AI model again based on the collected feedback. The generative AI model then regenerates a revised business plan that incorporates the feedback information. During this process, new data processing and calculations are performed, resulting in an optimized business plan. The revised business plan is then stored in a database and sent to the user's device.

[0340] Step 6:

[0341] Enter your company information

[0342] The user (investor) inputs information about the company to be evaluated through a terminal. Detailed data such as the company's name, industry, business situation, and financial information is entered into an input form and sent to the server. This information is stored in a database and fed into the evaluation algorithm.

[0343] Step 7:

[0344] Evaluation Support

[0345] The server supplies the company information stored in the database to the evaluation algorithm. The evaluation algorithm analyzes the input company information based on past successful and unsuccessful investment cases and generates a risk and return evaluation result. During this process, the data is analyzed using a machine learning model and the evaluation result is output. The generated evaluation result is stored in the database and sent to the user's device.

[0346] Step 8:

[0347] Displaying the evaluation results

[0348] The user (investor) checks the evaluation results displayed on the device. The generated evaluation results can be specifically checked using a smartphone, smart glasses, or a head-mounted display. Based on the evaluation results, the user makes an investment decision.

[0349] Step 9:

[0350] Management of external companies

[0351] The server manages usage requests from external companies. When an external company requests to use the system, the request is received and managed by the server. Based on the usage request, system usage rights are granted and charges are incurred.

[0352] Step 10:

[0353] Providing services to external companies

[0354] The server provides external companies with a service for using the generative AI model and evaluation algorithm. External companies can generate business plans and evaluation results through the server, which can then be viewed on a smart device. Usage status is monitored, and usage fees are charged as necessary.

[0355] This will enable entrepreneurs and investors to efficiently develop and evaluate business plans, and external companies will also be able to enjoy the same services.

[0356] 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.

[0357] This invention relates to a support system for entrepreneurs to efficiently formulate business plans and investors to make appropriate investment decisions. It describes a specific method for generating and evaluating business plans using a generative AI model. Furthermore, this invention combines an emotion engine to provide flexible business plans and evaluation results based on the user's emotions.

[0358] overview

[0359] This system combines a data processing device, generative AI model, display device, evaluation algorithm, and emotion engine to automate and efficiently support a series of processes, from inputting business information, generating business plans, collecting and regenerating feedback, evaluating investee companies, and making adjustments based on emotion information.

[0360] Overall system configuration

[0361] 1. Data processing device (server): Receives input business and corporate information and supplies the necessary data to the generated AI model, evaluation algorithm, and emotion engine.

[0362] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it by reflecting feedback and emotional information.

[0363] 3. Emotion engine (in the server): Recognizes the user's emotions, collects and analyzes the emotional information.

[0364] 4. Display device (terminal): Visually displays the generated business plan proposal and evaluation results to the user.

[0365] 5. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[0366] Program processing flow

[0367] Business plan development for entrepreneurs

[0368] Data entry and initial business plan generation

[0369] 1. Data Entry

[0370] Users (entrepreneurs) log in to the terminal and enter business information such as business ideas, market analysis, competitive analysis, and financial plans.

[0371] The terminal stores the entered business information locally and prepares it for transmission to the server.

[0372] 2. Receiving and storing business information

[0373] The server receives the business information sent from the terminal.

[0374] The server stores the received business information in a database.

[0375] 3. Generate a business plan

[0376] The server retrieves stored business information from the database and feeds it into the generative AI model.

[0377] The generative AI model generates an initial business plan proposal based on the business information provided.

[0378] The server stores the generated business plan in a database and sends it to the user's terminal.

[0379] 4. Display of business plan proposal

[0380] The terminal displays the received business plan to the user.

[0381] Feedback and Regeneration

[0382] 5. Enter your feedback

[0383] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements into a feedback form.

[0384] The terminal stores the feedback locally and prepares to send it to the server.

[0385] 6. Receiving and Processing Feedback

[0386] The server receives the feedback sent from the terminal.

[0387] The server feeds the feedback back into the generative AI model.

[0388] 7. Adding Emotional Information

[0389] The emotion engine recognizes the user's emotions and collects and analyzes the emotion information.

[0390] The server provides the analyzed emotion information to the generative AI model.

[0391] 8. Generate a regenerated business plan proposal

[0392] The generative AI model generates new business proposals based on feedback and sentiment information.

[0393] The server stores the new business plan in a database and sends it to the user's device.

[0394] 9. Display of new business plan proposal

[0395] The terminal displays the received new business plan to the user.

[0396] Investor evaluation of investee companies

[0397] 1. Enter your company information

[0398] Users (investors) log in to the terminal and enter information about the company they are considering investing in.

[0399] The terminal locally stores the input company information and prepares it for transmission to the server.

[0400] 2. Receiving and storing company information

[0401] The server receives the company information sent from the terminal.

[0402] The server stores the received company information in a database.

[0403] 3. Evaluation of company information

[0404] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[0405] The evaluation algorithm evaluates company information based on past investment successes and failures.

[0406] The emotion engine recognizes the user's emotions and adds emotion information to the evaluation results.

[0407] The server generates the evaluation results and stores them in a database.

[0408] 4. Presentation of evaluation results

[0409] The server transmits the evaluation results to the user's terminal.

[0410] The terminal displays the received evaluation results to the user.

[0411] Specific examples

[0412] Examples of business plan development for entrepreneurs

[0413] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, and cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be made more specific. Furthermore, an emotion engine collects and analyzes emotional information to increase the user's interest. The server then re-runs the generative AI model based on the feedback and emotional information, generating a revised business plan and providing it to the user.

[0414] Specific examples of investor evaluations of investee companies

[0415] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." Furthermore, an emotion engine adds emotional information that reflects the user's concerns and expectations to the evaluation result. The user then makes an investment decision based on the presented evaluation results.

[0416] Providing services to external companies

[0417] This system can also be used by external companies. When an external company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments. The emotion engine recognizes the emotions of external company personnel and provides optimal feedback. The server monitors the usage status of external companies and provides necessary support.

[0418] The above is a specific embodiment for carrying out the present invention. This system improves the efficiency of business planning and investment decisions, and can provide useful value to a wide range of users.

[0419] The processing flow will be explained below.

[0420] Business plan development for entrepreneurs

[0421] Data entry and initial business plan generation

[0422] Step 1:

[0423] A user (entrepreneur) logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[0424] Step 2:

[0425] The terminal stores the entered business information locally and prepares it for transmission to the server.

[0426] Step 3:

[0427] The server receives the business information sent from the terminal.

[0428] Step 4:

[0429] The server stores the received business information in a database.

[0430] Step 5:

[0431] The server retrieves stored business information from the database and feeds it into the generative AI model.

[0432] Step 6:

[0433] The generative AI model generates an initial business plan proposal based on the business information provided.

[0434] Step 7:

[0435] The server stores the generated business plan in a database.

[0436] Step 8:

[0437] The server sends the initial business plan to the user's terminal.

[0438] Step 9:

[0439] The terminal displays the received business plan to the user.

[0440] Feedback and Regeneration

[0441] Step 10:

[0442] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[0443] Step 11:

[0444] The terminal stores the feedback locally and prepares to send it to the server.

[0445] Step 12:

[0446] The server receives the feedback sent from the terminal.

[0447] Step 13:

[0448] The server re-feeds the received feedback to the generative AI model.

[0449] Step 14:

[0450] The emotion engine analyzes the user's emotions from their facial expressions and language, and sends that data to the server.

[0451] Step 15:

[0452] The server reflects the collected emotional data in the generative AI model.

[0453] Step 16:

[0454] The generative AI model generates a new business plan proposal based on the feedback and emotional information.

[0455] Step 17:

[0456] The server stores the new business plan in a database.

[0457] Step 18:

[0458] The server sends the new business plan to the user's terminal.

[0459] Step 19:

[0460] The terminal displays the received new business plan to the user.

[0461] Investor evaluation of investee companies

[0462] Company information input and evaluation support

[0463] Step 1:

[0464] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[0465] Step 2:

[0466] The terminal locally stores the input company information and prepares it for transmission to the server.

[0467] Step 3:

[0468] The server receives the company information sent from the terminal.

[0469] Step 4:

[0470] The server stores the received company information in a database.

[0471] Step 5:

[0472] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[0473] Step 6:

[0474] The evaluation algorithm evaluates company information based on past investment successes and failures.

[0475] Step 7:

[0476] The emotion engine analyzes the user's emotions from their facial expressions and language, and sends that data to the server.

[0477] Step 8:

[0478] The server reflects the emotion data in the evaluation result to generate a comprehensive evaluation result.

[0479] Step 9:

[0480] The server stores the generated comprehensive evaluation results in a database.

[0481] Step 10:

[0482] The server transmits the evaluation results to the user's terminal.

[0483] Step 11:

[0484] The terminal displays the received evaluation results to the user.

[0485] Providing services to external companies

[0486] Usage requests and service provision

[0487] Step 1:

[0488] External companies send requests to use the system from their terminals.

[0489] Step 2:

[0490] The server receives a usage request from an external company.

[0491] Step 3:

[0492] Based on the usage request, the server creates an account for the external company and calculates the usage fee.

[0493] Step 4:

[0494] An external company pays the usage fee.

[0495] Step 5:

[0496] The server grants external companies permission to use the generated AI model.

[0497] Step 6:

[0498] External companies can use the generated AI model on their devices to develop their own business plans and evaluate investments.

[0499] Step 7:

[0500] The emotion engine analyzes the emotions of external company personnel from their facial expressions and language, and sends that data to a server.

[0501] Step 8:

[0502] The server provides appropriate support and feedback based on the analyzed emotional data.

[0503] Step 9:

[0504] The server monitors the usage of external companies and provides necessary support.

[0505] The above is a concrete explanation of the program processing steps in a system that combines emotion engines.

[0506] Example 2

[0507] 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."

[0508] In today's business environment, there is a need for support systems that help entrepreneurs efficiently formulate business plans and investors make appropriate investment decisions. However, conventional systems have not adequately considered users' emotional information during the process of inputting, analyzing, and evaluating business information. This has made it difficult to generate flexible business plans and support investment decisions that reflect users' intentions and emotions.

[0509] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for inputting business information using the data processing device, a means for generating a business plan proposal based on the input business information using a generative artificial intelligence model, and a means for collecting and analyzing user emotion information using an emotion recognition engine. This makes it possible to generate and regenerate a business plan that reflects the user's emotion information.

[0510] - "Data Processing Equipment" means a combination of hardware and software for collecting, analyzing, storing, and transmitting business information.

[0511] "Business information" refers to data such as market analysis, competitive analysis, and financial plans that entrepreneurs and investors need to make business plans and investment decisions.

[0512] A "generative artificial intelligence model" is a machine learning algorithm and its execution environment for generating business plan proposals and evaluation results based on input business information.

[0513] "Draft Business Plan" means a draft business plan generated by a generative AI model, including, but not limited to, a market analysis, competitive analysis, and financial forecasts.

[0514] A "display device" is a device such as a monitor, screen, or browser that visually presents the generated business plan proposal and evaluation results to the user.

[0515] "User feedback" refers to opinions and comments such as corrections and improvements provided by users regarding the proposed business plan and evaluation results.

[0516] An "emotion recognition engine" is a software or hardware system for detecting and analyzing a user's emotions.

[0517] "Emotion information" is data that indicates the user's emotional state as detected and analyzed by the emotion engine.

[0518] An "evaluation algorithm" is a calculation method and its execution environment for analyzing and evaluating corporate information based on past investment successes and failures.

[0519] "External organizations" refer to companies and organizations that use the system, and are third parties that use the system for business planning and investment evaluation.

[0520] The system is designed to help entrepreneurs efficiently develop business plans and investors make appropriate investment decisions. The system mainly includes a data processing device, a generative artificial intelligence model, an emotion recognition engine, a display device, and an evaluation algorithm.

[0521] Hardware and software used

[0522] 1. Data processing device (server)

[0523] The server used is a central location that receives business and enterprise information and supplies the necessary data to the generative AI model, evaluation algorithm, and emotion engine. For example, cloud services such as Amazon Web Services (AWS), Microsoft® Azure®, and Google Cloud Platform can be used.

[0524] 2. Generative AI Models

[0525] Generative artificial intelligence models that generate business plan proposals based on business information, such as OpenAI® GPT-3® and other natural language processing (NLP) models, can analyze information and generate effective business plan proposals.

[0526] 3. Emotion Recognition Engine

[0527] Engines used to recognize user emotions and analyze the emotion information include, for example, IBM Watson® emotion analysis API and other emotion recognition software.

[0528] 4. Display Device (Terminal)

[0529] A device that visually presents the generated business plan and evaluation results to the user, and is generally a PC, tablet, smartphone, or other device. A web browser or dedicated application is used for display.

[0530] 5. Evaluation Algorithm

[0531] It is an algorithm for evaluating company information based on past investment successes and failures, and also takes into account user sentiment to produce evaluation results. It is implemented using statistical modeling and machine learning algorithms.

[0532] Specific examples

[0533] Examples of business plan development for entrepreneurs

[0534] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, and cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be specified. Furthermore, an emotion engine collects and analyzes emotional information to increase the user's interest. The server then re-runs the generative AI model based on the feedback and emotional information, generating a revised business plan and providing it to the user.

[0535] Specific examples of investor evaluations of investee companies

[0536] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." Furthermore, an emotion engine adds emotional information that reflects the user's concerns and expectations to the evaluation result. The user then makes an investment decision based on the presented evaluation results.

[0537] Prompt Sentence Examples

[0538] "I want to build an online learning platform, but I need a business plan based on market and competitive analysis."

[0539] "I'd like to evaluate a startup in the education sector. Please generate a valuation result based on past investments and sentiment information."

[0540] According to the above-described aspects, the present invention can realize a high level of automation that takes into account the emotional information of the user in formulating business plans and supporting investment decisions.

[0541] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0542] Business plan development for entrepreneurs

[0543] Step 1: Data entry

[0544] A user logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[0545] Specific operation: The user enters business information into the input form on the terminal and clicks the "Submit" button.

[0546] Input: Business information such as business idea, market analysis, competitive analysis, financial plan, etc.

[0547] Output: Business information is retained on the device.

[0548] Step 2: Receiving and storing business information

[0549] The terminal stores the entered business information locally and prepares it for transmission to the server.

[0550] The server receives the business information sent from the terminal and stores it in a database.

[0551] Specific operation: The terminal sends business information to the server, and the server writes the information into the database.

[0552] Input: Business information sent from the device.

[0553] Output: Business information stored in a database.

[0554] Step 3: Generate a business plan

[0555] The server retrieves stored business information from the database and feeds it into the generative AI model.

[0556] The generative AI model generates an initial business plan proposal based on the business information provided.

[0557] How it works: The server calls the generative AI model and provides business information, after which the generative AI model generates a business plan.

[0558] Input: Business information retrieved from the database.

[0559] Output: Initial business plan proposal.

[0560] Step 4: Save and submit your business plan

[0561] The server stores the generated business plan in a database and transmits it to the user's terminal.

[0562] Specific operation: The server stores the generated business plan in a database and then transmits it to the user terminal.

[0563] Input: Generated business plan proposal.

[0564] Output: Business plan proposal stored in the database and business plan proposal sent to the user's terminal.

[0565] Step 5: View the business plan

[0566] The terminal displays the received business plan to the user.

[0567] Specific operation: The terminal displays the received business plan on the screen.

[0568] Input: Business plan proposal sent from the server.

[0569] Output: A proposed business plan displayed to the user.

[0570] Step 6: Provide feedback

[0571] The user reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[0572] The terminal stores the feedback locally and prepares to send it to the server.

[0573] Specific operation: The user enters a comment into the feedback form on the terminal and clicks the "Submit" button.

[0574] Input: User feedback.

[0575] Output: Feedback stored on the device.

[0576] Step 7: Receiving and processing feedback

[0577] The server receives the feedback sent from the terminal.

[0578] The server re-feeds the received feedback to the generative AI model.

[0579] Specific operation: The server stores the feedback in a database and then provides it to the generative AI model.

[0580] Input: Feedback sent from the device.

[0581] Output: Feedback fed to the generative AI model.

[0582] Step 8: Collect and analyze emotional information

[0583] The emotion engine recognizes the user's emotions and collects and analyzes the emotion information.

[0584] Specific operation: The emotion engine analyzes data such as the user's input speed and eye tracking to generate emotion information.

[0585] Input: User emotional data (typing speed, eye tracking, etc.).

[0586] Output: Parsed emotion information.

[0587] Step 9: Adding Emotional Information

[0588] The server provides the analyzed emotion information to the generative AI model.

[0589] Specific operation: The server provides the analyzed emotion information to the generative AI model.

[0590] Input: Parsed emotion information.

[0591] Output: Emotion information fed into the generative AI model.

[0592] Step 10: Generate a regenerated business plan

[0593] The generative AI model generates new business proposals based on feedback and sentiment information.

[0594] Specific operation: The generative AI model is run again to generate a new business plan proposal.

[0595] Input: Feedback and emotional information.

[0596] Output: A new, regenerated business plan.

[0597] Step 11: Save and submit your new business plan

[0598] The server stores the new business plan in a database and sends it to the user's terminal.

[0599] Specific operation: The server stores the regenerated business plan in the database and sends it to the user terminal.

[0600] Input: A newly generated business plan.

[0601] Output: New business plan proposal stored in the database and business plan proposal sent to the user's terminal.

[0602] Step 12: Displaying the new business plan

[0603] The terminal displays the received new business plan to the user.

[0604] Specific operation: The terminal displays the received new business plan on the screen.

[0605] Input: A new business plan submitted by the server.

[0606] Output: The new business plan proposal displayed to the user.

[0607] Investor evaluation of investee companies

[0608] Step 1: Enter your company information

[0609] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[0610] Specific operation: The user enters company information into the input form on the terminal and clicks the "Submit" button.

[0611] Enter: Company Information.

[0612] Output: Company information stored on the device.

[0613] Step 2: Receiving and storing company information

[0614] The terminal locally stores the input company information and prepares it for transmission to the server.

[0615] The server receives the company information sent from the terminal and stores it in a database.

[0616] Specific operation: The terminal sends the company information to the server, and the server writes the information into the database.

[0617] Input: Company information sent from the device.

[0618] Output: Company information stored in a database.

[0619] Step 3: Evaluate company information

[0620] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[0621] The evaluation algorithm evaluates company information using data on past investment successes and failures to generate evaluation results.

[0622] The emotion engine recognizes the user's emotion and adds the emotion information to the evaluation result.

[0623] How it works: The evaluation algorithm analyzes company information and generates evaluation results. The emotion engine adds user emotional information.

[0624] Input: Company information and user sentiment information obtained from the database.

[0625] Output: Evaluation results.

[0626] Step 4: Presenting the evaluation results

[0627] The server transmits the evaluation results to the user's terminal.

[0628] The terminal displays the received evaluation results to the user.

[0629] Specific operation: The server sends the evaluation results to the user's terminal, and the terminal displays the results on the screen.

[0630] Input: The evaluation result sent from the server.

[0631] Output: The evaluation results displayed to the user.

[0632] (Application example 2)

[0633] 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."

[0634] When planning autonomous vehicle operations, conventional methods have difficulty selecting optimal routes and making flexible adjustments based on user emotions, which leads to problems such as insufficient improvement of user experience and efficient operation.

[0635] 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.

[0636] In this invention, the server includes means for inputting operation information of the autonomous vehicle using a data processing device, means for generating a route plan based on the input operation information using a generative AI model, means for analyzing user emotion information using an emotion engine and reflecting the analysis in the route plan, means for collecting user feedback on the presented route plan, and means for reapplying the generative AI model based on the collected feedback and emotion information to generate a new route plan. This enables optimal route proposals according to the user's emotions and flexible replanning based on the feedback.

[0637] A "data processing device" is a device that has the ability to receive, analyze, and store input information.

[0638] A "generative artificial intelligence model" is a machine learning model that analyzes patterns based on input data and generates quantitative or qualitative predictions and suggestions.

[0639] An "emotion engine" is an algorithm and device for recognizing a user's emotions and analyzing that emotional information.

[0640] A "display device" is a device that visually presents generated information and plans to a user.

[0641] "Feedback" means any opinion or information provided by a user to the system for correction or improvement.

[0642] A "route plan" is a travel plan that includes the optimal route from a specified starting point to a destination.

[0643] "Operation information" refers to specific information about operations such as the departure point, destination, stopovers, and desired arrival time.

[0644] A "replan" is a new plan that is generated by modifying an existing plan based on user feedback and emotional information.

[0645] Overall system configuration

[0646] The present invention is a system for formulating operation plans and optimizing routes for autonomous vehicles, which combines a data processing device, a generative AI model, an emotion engine, and a display device. A user (an operator or passenger of an autonomous vehicle) inputs operation information using an application and obtains an optimal route plan. A specific implementation of the present invention is described below.

[0647] Data Processing Unit

[0648] The data processing device receives operation information (starting point, destination, intermediate points, desired arrival time, etc.) entered from a device such as a smartphone and sends it to the server. It also acquires route plans and evaluation results generated by the generative AI model and emotion engine, and presents them to the user again.

[0649] Generative AI Models

[0650] The generative AI model is built using programming languages ​​such as Python. It generates optimal route plans based on operational information, taking into account factors such as traffic conditions, fuel efficiency, and safety. It also re-plans based on user feedback and information from an emotion engine.

[0651] Emotion Engine

[0652] The emotion engine implements algorithms to analyze emotions from user input and behavior, allowing it to provide better route planning that takes into account the user's stress level and sense of security.

[0653] display device

[0654] The display device is a mobile device such as a smartphone or tablet that visually displays the generated route plan or replan to the user, allowing the user to easily review the information and provide any necessary feedback.

[0655] Specific examples

[0656] Consider a case where a user inputs travel information such as "From Tokyo Station to Kyoto Station, stopping at Nagoya Station on the way, and arriving by 13:00." The data processing device sends that information to the server, and the generative AI model generates an optimal route plan. For example, a plan that takes into account highway congestion and fuel efficiency is presented. When that plan is displayed on the display device, the user provides feedback such as "I would like a route that avoids traffic jams." Along with this feedback, the emotion engine analyzes the user's stress level and reflects it in the generative AI model. The regenerated route plan is presented to the user again, allowing the user to begin driving with peace of mind.

[0657] Prompt Sentence Examples

[0658] The departure point is Tokyo Station, the destination is Kyoto Station, and the stopover is Nagoya Station. The desired arrival time is 13:00. Please suggest the best route.

[0659] As described above, the present invention is a system that proposes optimal routes that take user emotions into consideration and enables flexible re-planning when formulating operation plans for autonomous vehicles.

[0660] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0661] Step 1:

[0662] Users use a smartphone application to input operation information such as departure point, destination, intermediate stops, and desired arrival time.

[0663] Input: Departure point, destination, stopover, desired arrival time

[0664] Output: Traffic information data

[0665] Specific operation: The user inputs operation information into the application interface and presses the "Send" button. The application converts this information into an internal data format, stores it locally, and prepares it for transmission to the server.

[0666] Step 2:

[0667] The terminal transmits the operation information input by the user to the server.

[0668] Input: Traffic information data

[0669] Output: Traffic information data sent to the server

[0670] Specific operation: The device sends the operation information data it holds internally to the server using an HTTPS request, etc. The server receives the data and stores it in a database.

[0671] Step 3:

[0672] The server acquires the received operational information and supplies it to the generative AI model.

[0673] Input: Traffic information data stored in the database

[0674] Output: Traffic information data fed into the generative AI model

[0675] Specific operation: The server reads operation information data from the database and provides the data to the generative AI model via API calls, etc. Based on this, the generative AI model begins the process of generating an initial route plan.

[0676] Step 4:

[0677] The generative AI model generates an optimal route plan based on the provided operation information and sends it back to the server.

[0678] Input: Traffic information data

[0679] Output: Initial route planning data

[0680] How it works: The generative AI model processes operational information and calculates the optimal route, taking into account parameters such as traffic conditions, fuel efficiency, and safety. Once the calculation is complete, it sends the resulting route planning data back to the server.

[0681] Step 5:

[0682] The server stores the generated route planning data in a database and transmits it to the user's terminal.

[0683] Input: Initial route planning data

[0684] Output: Route planning data sent to the device

[0685] Specific operation: The server saves the generated route plan in the database and sends the data to the terminal, which receives it and proceeds to the next step.

[0686] Step 6:

[0687] The terminal displays the received route plan to the user.

[0688] Input: Route planning data

[0689] Output: Route plan displayed to the user

[0690] Specific operation: The device analyzes the received data and displays the route plan in an optimized format on the display device. The user confirms the proposed route.

[0691] Step 7:

[0692] User feedback on route planning.

[0693] Input: Route planning, user feedback

[0694] Output: Feedback data

[0695] Specific operation: The user checks the displayed route plan and enters any complaints or corrections they would like to make in the feedback field. The device stores this locally and prepares to send it to the server.

[0696] Step 8:

[0697] The server receives the feedback sent from the terminal and collects the feedback data.

[0698] Input: Feedback data

[0699] Output: Feedback data stored in a database

[0700] Specific operation: The server receives the feedback data sent from the device and stores it in a database, then prepares it to be re-fed to the generative AI model.

[0701] Step 9:

[0702] The emotion engine analyzes the user's emotional information and supplies that emotional information to the generative AI model.

[0703] Input: Feedback data, user sentiment information

[0704] Output: Parsed emotion information

[0705] How it works: The emotion engine analyzes emotions from feedback and user usage and feeds the results into a generative AI model, which reflects the user's emotional state in real time.

[0706] Step 10:

[0707] The generative AI model re-plans based on collected feedback and sentiment information, generating a new route plan.

[0708] Input: Feedback data, emotional information

[0709] Output: New route planning data

[0710] How it works: The generative AI model re-runs the algorithm based on the feedback and emotion information to generate a new route plan, which is then sent back to the server.

[0711] Step 11:

[0712] The server stores the newly generated route planning data in a database and transmits it again to the user's terminal.

[0713] Input: New route planning data

[0714] Output: New route planning data sent to the device

[0715] Specific operation: The server saves the new route plan in the database and sends it to the device, which receives it and proceeds to the next step.

[0716] Step 12:

[0717] The device displays the new route plan to the user.

[0718] Input: New route planning data

[0719] Output: Route plan redisplayed to the user

[0720] Specific behavior: The device displays the received new route plan to the user and completes the session. The user is satisfied with the revised route plan and begins driving.

[0721] The above are the processing steps of the system for implementing the present invention.

[0722] 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.

[0723] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0724] 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.

[0725] [Second embodiment]

[0726] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0727] 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.

[0728] 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).

[0729] 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.

[0730] 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.

[0731] 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).

[0732] 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. 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.

[0733] 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.

[0734] 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.

[0735] 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.

[0736] 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.

[0737] 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."

[0738] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[0739] overview

[0740] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[0741] Overall system configuration

[0742] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[0743] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[0744] 3. Display device (terminal): Visually displays the generated business plan proposal and evaluation results to the user.

[0745] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[0746] Program processing flow

[0747] Business plan development for entrepreneurs

[0748] 1. Data Entry

[0749] Users (entrepreneurs) log in to the terminal and enter business information such as business ideas, market analysis, competitive analysis, and financial plans.

[0750] The server receives the business information entered by the user and stores it in a database.

[0751] 2. Generate a business plan

[0752] The server feeds the stored business information to the generative AI model.

[0753] The generative AI model generates an initial business plan proposal based on the input information.

[0754] The server stores the generated business plan in a database and sends it to the user's terminal.

[0755] 3. Feedback and Regeneration

[0756] The user (entrepreneur) reviews the proposed business plan and, if necessary, enters corrections or improvements into a feedback form.

[0757] The server receives user feedback and feeds it back into the generative AI model.

[0758] The generative AI model generates a new business plan that reflects the feedback, and the server stores this in a database and sends it to the user's device.

[0759] Investor evaluation of investee companies

[0760] 1. Enter your company information

[0761] Users (investors) log in to the terminal and enter information about the company they are considering investing in.

[0762] The server receives the company information entered by the user and stores it in a database.

[0763] 2. Evaluation support

[0764] The server provides the stored business information to the rating algorithm.

[0765] The evaluation algorithm evaluates based on past successful and unsuccessful investment cases and generates risk and return evaluation results.

[0766] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[0767] Specific examples

[0768] Examples of business plan development for entrepreneurs

[0769] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be specified. The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[0770] Specific examples of investor evaluations of investee companies

[0771] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[0772] Providing services to external companies

[0773] This system can also be used by external companies. When an external company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments. The server monitors the usage status of external companies and provides necessary support.

[0774] The above is a specific embodiment for carrying out the present invention. This system improves the efficiency of business planning and investment decisions, and can provide useful value to a wide range of users.

[0775] The processing flow will be explained below.

[0776] Business plan development for entrepreneurs

[0777] Data entry and initial business plan generation

[0778] Step 1:

[0779] A user (entrepreneur) logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[0780] Step 2:

[0781] The terminal stores the entered business information locally and prepares it for transmission to the server.

[0782] Step 3:

[0783] The server receives the business information sent from the terminal.

[0784] Step 4:

[0785] The server stores the received business information in a database.

[0786] Step 5:

[0787] The server retrieves stored business information from the database and feeds it into the generative AI model.

[0788] Step 6:

[0789] The generative AI model generates an initial business plan proposal based on the business information provided.

[0790] Step 7:

[0791] The server stores the generated initial business plan in a database.

[0792] Step 8:

[0793] The server sends the initial business plan to the user's terminal.

[0794] Step 9:

[0795] The terminal displays the received business plan to the user.

[0796] Feedback and Regeneration

[0797] Step 10:

[0798] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[0799] Step 11:

[0800] The terminal stores the feedback locally and prepares to send it to the server.

[0801] Step 12:

[0802] The server receives the feedback sent from the terminal.

[0803] Step 13:

[0804] The server re-feeds the received feedback to the generative AI model.

[0805] Step 14:

[0806] The generative AI model generates a new business plan proposal that reflects the feedback.

[0807] Step 15:

[0808] The server stores the new business plan in a database.

[0809] Step 16:

[0810] The server transmits the regenerated business plan to the user's terminal.

[0811] Step 17:

[0812] The terminal displays the received new business plan to the user.

[0813] Investor evaluation of investee companies

[0814] Company information input and evaluation support

[0815] Step 1:

[0816] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[0817] Step 2:

[0818] The terminal locally stores the input company information and prepares it for transmission to the server.

[0819] Step 3:

[0820] The server receives the company information sent from the terminal.

[0821] Step 4:

[0822] The server stores the received company information in a database.

[0823] Step 5:

[0824] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[0825] Step 6:

[0826] The evaluation algorithm evaluates company information based on past investment successes and failures.

[0827] Step 7:

[0828] The server generates the evaluation results and stores them in a database.

[0829] Step 8:

[0830] The server transmits the evaluation results to the user's terminal.

[0831] Step 9:

[0832] The terminal displays the received evaluation results to the user.

[0833] Providing services to external companies

[0834] Usage requests and service provision

[0835] Step 1:

[0836] External companies send requests to use the system from their terminals.

[0837] Step 2:

[0838] The server receives a usage request from an external company.

[0839] Step 3:

[0840] Based on the usage request, the server creates an account for the external company and calculates the usage fee.

[0841] Step 4:

[0842] An external company pays the usage fee.

[0843] Step 5:

[0844] The server grants external companies permission to use the generated AI model.

[0845] Step 6:

[0846] External companies can use the generated AI model on their devices to develop their own business plans and evaluate investments.

[0847] Step 7:

[0848] The server monitors the usage of external companies and provides necessary support.

[0849] The above is a concrete explanation of the processing of the system program.

[0850] Example 1

[0851] 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."

[0852] Traditional business planning and investment evaluation methods required a lot of time and effort to manually collect and analyze information, making them inefficient. The process of collecting feedback and then regenerating the plan based on that feedback was also time-consuming, making it difficult to make quick decisions. Furthermore, there was no system in place for managing and billing external companies when using these tools, making them ineffective.

[0853] 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.

[0854] In this invention, the server includes means for inputting business information using a data processing device, means for generating a business plan proposal based on the input business information using a generative AI model, means for presenting the generated business plan proposal on a display device, means for collecting user feedback on the presented business plan proposal, means for reapplying the generative AI model based on the collected feedback to generate a new business plan proposal, and means for presenting the presented business plan proposal and evaluation results again on the display device, thereby enabling users to quickly and efficiently formulate business plans and make investment decisions.

[0855] A "data processing device" is an electronic device used to input and store business information and feed it into generative AI models and evaluation algorithms.

[0856] "Business information" refers to data necessary for formulating a business plan, such as business ideas, market analysis, competitive analysis, and financial plans.

[0857] A "generative AI model" is an artificial intelligence system that automatically generates a business plan proposal based on input business information and regenerates it based on user feedback.

[0858] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[0859] "Feedback" refers to opinions and comments provided by users regarding corrections and improvements to the generated business plan proposal and evaluation results.

[0860] An "evaluation algorithm" is a calculation method and process for analyzing past investment successes and failures to assess the risk and return of target companies.

[0861] "External organization" refers to an external company or institution that uses this system, including users who are the subject of system usage requests and billing management.

[0862] "Usage Request" refers to a service request made by an external organization to use this system.

[0863] "Usage Fee" means the amount payable by an External Organization for use of this System.

[0864] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[0865] System configuration

[0866] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[0867] 1. Data processing device (server):

[0868] The server is a device that receives business and corporate information entered by users from their terminals and supplies the necessary data to the generative AI model and evaluation algorithm.

[0869] The data is stored in a database and used for processing generative AI models and analysis of evaluation algorithms.

[0870] 2. Generative AI model (on the server):

[0871] The generative AI model located on the server generates a business plan proposal based on the business information entered by the user.

[0872] To achieve complete automation, the system also has the ability to reflect user feedback and regenerate new business plan proposals.

[0873] 3. Display Device (Terminal):

[0874] The terminal is a device that visually displays the generated business plan proposal and evaluation results to the user.

[0875] Users who log in to the terminal can enter business information, check the generated plan and evaluation results, and provide feedback.

[0876] 4. Users (entrepreneurs and investors):

[0877] A user is a person who accesses the system and enters the necessary business or company information.

[0878] Check the plans and evaluation results generated based on the information entered and provide feedback as needed.

[0879] Specific examples

[0880] Examples of business plan development for entrepreneurs

[0881] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives the information and supplies it to the generative AI model. The generative AI model generates a business plan that includes market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, such as "I would like the advertising strategy to be more specific." The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[0882] Example prompt sentence:

[0883] "Business idea: Online learning platform. Market: Online education market. Competitive analysis: Strategies and market share of key competitors. Financial planning: Initial investment and revenue projections."

[0884] Specific examples of investor evaluations of investee companies

[0885] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives the information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[0886] Example prompt sentence:

[0887] "Company Information: Educational startups. Evaluating the risk and return of companies based on past investment cases."

[0888] Providing services to external companies

[0889] This system can also be used by external companies. When a company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments, and the server monitors the external companies' usage and provides any necessary support.

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

[0891] Business plan development for entrepreneurs

[0892] Step 1: Data entry

[0893] After logging in to the dedicated terminal, the user inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[0894] Specific operations: The user enters specific business information such as "Business idea: online learning platform" and "Market analysis: current state of the online education market and potential customer demographics" into the form input screen.

[0895] Input: User-entered business information

[0896] Output: Business information sent to the server

[0897] The server receives the input information in real time and stores it in a database.

[0898] Step 2: Generate a business plan

[0899] The server transfers the business information stored in the database to the generative AI model.

[0900] Specific operation: The server extracts information such as "market analysis," "competitive analysis," and "financial planning" from the database and supplies it to the generative AI model.

[0901] Input: Business information extracted from a database

[0902] Output: Business information to feed the generative AI model

[0903] The generative AI model generates an initial business plan proposal based on the information provided.

[0904] How it works: The generative AI model creates prompt statements and analyzes input data, such as "Business idea: online learning platform; Market analysis: current state and potential customer base of the online education market; Competitive analysis: strategies of major competitors," to generate a business plan.

[0905] Input: Business information fed into the generative AI model

[0906] Output: Generated initial business plan

[0907] The server stores the generated business plan again in the database and transmits it to the user's terminal.

[0908] Step 3: Feedback and Regeneration

[0909] The user checks the proposed business plan and enters any shortcomings or corrections in the feedback form.

[0910] Specific Action: After reviewing the plan, the user provides feedback such as "I would like you to specify the advertising strategy."

[0911] Input: User-provided feedback

[0912] Output: Feedback information sent to the server

[0913] The server receives the user's feedback and forwards it back to the generative AI model.

[0914] Specific action: The server sends it to the generative AI model and adds the prompt "Specify your advertising strategy" to prompt regeneration.

[0915] Input: Feedback information

[0916] Output: Feedback information for transfer to the generative AI model

[0917] The generative AI model reflects the feedback and generates a new business plan proposal.

[0918] Specific actions: The generative AI model generates new plans and adds specific advertising strategies.

[0919] Input: Feedback information received from users

[0920] Output: Revised new business plan

[0921] The server stores the revised business plan in a database and transmits it to the user's terminal.

[0922] Investor evaluation of investee companies

[0923] Step 1: Enter your company information

[0924] The user logs in to a dedicated terminal and enters information about the target company.

[0925] Specific operation: The user enters information such as "Company information: Startup in the education field" and "Company financial data."

[0926] Input: Company information entered by the user

[0927] Output: Company information sent to the server

[0928] The server receives the entered company information in real time and stores it in a database.

[0929] Step 2: Evaluation support

[0930] The server supplies the business information stored in the database to the rating algorithm.

[0931] Specific operation: The server extracts financial and market information about companies from the database and feeds it into the valuation algorithm.

[0932] Input: Company information extracted from the database

[0933] Output: Company information to feed into the rating algorithm

[0934] The rating algorithm assesses the risk and return of a company based on past investment successes and failures.

[0935] Specific operation: The evaluation algorithm analyzes past data on "education startups" and generates evaluation results for "market growth rate, high return expectations, and technical risk."

[0936] Input: Company information provided

[0937] Output: Generated evaluation results

[0938] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[0939] Providing services to external companies

[0940] Step 1: Manage usage requests

[0941] When an external organization sends a usage request, the server receives the request and stores it in a database.

[0942] Specific operation: The external organization sends a usage request, which the server receives and stores in the database.

[0943] Input: Request to use external organization

[0944] Output: Usage request information stored in the database

[0945] Step 2: Providing the service

[0946] The server provides external organizations with a service for using the generated AI model.

[0947] Specific operation: The server provides the access information and configuration instructions necessary for use by external organizations.

[0948] Input: Usage request information retrieved from the database

[0949] Output: Information required to provide the service

[0950] Step 3: Monitoring usage and billing

[0951] The server monitors the usage status of external organizations and charges them for usage.

[0952] Specific operation: The server monitors the frequency and duration of use by external organizations, calculates the usage fee based on that information, and bills the user.

[0953] Input: Usage data from external organizations

[0954] Output: Usage fee calculation results and invoice

[0955] The above is a specific explanation of the process flow of this system, divided into processing steps.

[0956] (Application example 1)

[0957] 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."

[0958] Traditionally, it has taken a great deal of time and effort for entrepreneurs to develop business plans and for investors to make investment decisions. Furthermore, there has been no effective system for easily visualizing generated business plans and evaluation results, and regenerating them in real time to reflect feedback. Therefore, there has been a demand for technology that efficiently performs the entire process of collecting business information, evaluating it, generating plans, and providing feedback. Furthermore, there are insufficient means to display generated information in real time on smart devices, leaving the challenge of improving user convenience.

[0959] 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.

[0960] In this invention, the server includes a means for inputting business information using a data processing device, a means for generating a business plan proposal based on the input business information using a generative artificial intelligence model, a means for presenting the generated business plan proposal on a display device, a means for collecting user feedback on the presented business plan proposal, a means for reapplying the generative artificial intelligence model based on the collected feedback to generate a new business plan proposal, and a means for displaying the generated business plan proposal in real time on a smartphone, smart glasses, a head-mounted display, or a robot as a content distribution service. This streamlines the series of processes for entrepreneurs to efficiently formulate business plans and investors to make appropriate investment decisions, and makes it possible to display the generated information on a smart device in real time.

[0961] A "data processing device" is a device that inputs business or corporate information, processes that information appropriately, and stores it in a database.

[0962] A "generative artificial intelligence model" is an algorithm or program that generates business plan proposals and evaluation results based on input business and corporate information.

[0963] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[0964] "Feedback" refers to corrections and opinions provided by users regarding the proposed business plan.

[0965] "Reapplication" means running the generative artificial intelligence model again based on the collected feedback.

[0966] The "content distribution service" is a service that provides users with generated business plans and evaluation results in real time via smart devices.

[0967] A "smartphone" is a multifunctional portable information terminal that allows users to access a variety of services through applications.

[0968] "Smart glasses" are eyeglass-type devices that have the function of displaying information in the wearer's field of vision.

[0969] A "head-mounted display" is a display device worn on the user's head to provide visual information.

[0970] A "robot" is a device that operates autonomously or remotely and has the ability to collect and process information.

[0971] "Information on investment target companies" refers to detailed data about companies in which investors are considering investing.

[0972] An "evaluation algorithm" is a calculation method or program that evaluates input corporate information based on past investment successes and failures.

[0973] "Real-time" means processing and providing information immediately, without delay.

[0974] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[0975] Overall system configuration

[0976] This system mainly consists of the following elements:

[0977] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[0978] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[0979] 3. Display device (smart device): Visually displays the generated business plan proposal and evaluation results to the user.

[0980] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[0981] 5. Evaluation algorithm: Based on past investment successes and failures, an evaluation of risk and return is generated.

[0982] Hardware used

[0983] Server: High-performance data processing server (e.g., AWS EC2, Google Cloud Compute Engine)

[0984] Display devices: smartphones, smart glasses, head-mounted displays, robots

[0985] Database: MongoDB

[0986] Generative AI model: GPT-4 (or equivalent generative model)

[0987] Software used

[0988] Front-end software: Developing a smartphone app using React Native

[0989] Backend software: Implementing server and database integration using Node.js

[0990] Evaluation algorithm: Implemented using Python and Scikit-learn

[0991] Specific Examples

[0992] Business plan development for entrepreneurs

[0993] 1. Data Entry

[0994] The server allows users (entrepreneurs) to input business ideas and market analysis data through a front-end app.

[0995] The entered data is saved in a database (MongoDB) in real time via the server.

[0996] 2. Generate a business plan

[0997] The server feeds the stored business information into a generative AI model (GPT-4).

[0998] The generative AI model generates an initial business plan based on the input information.

[0999] The server stores the generated business plan in a database and sends it to the smart device.

[1000] 3. View and provide feedback on the proposed plan

[1001] The generated business plan proposal is presented to the user through a display device such as a smartphone or smart glasses.

[1002] The user (entrepreneur) reviews the proposed plan and enters feedback on corrections and improvements.

[1003] The server receives user feedback and feeds it back into the generative AI model (GPT-4).

[1004] 4. Regenerate your business plan

[1005] The generative AI model recreates a new business plan proposal that reflects the feedback.

[1006] The regenerated business plan is also saved in the database and re-presented on the smart device.

[1007] Investor evaluation of investee companies

[1008] 1. Enter your company information

[1009] The server allows users (investors) to input information about the company being evaluated through a front-end application.

[1010] The entered data is stored in a database.

[1011] 2. Evaluation support

[1012] The server feeds the stored business information into the rating algorithm.

[1013] The evaluation algorithm evaluates the input company information based on past investment successes and failures, and generates risk and return evaluation results.

[1014] The evaluation results are displayed in real time on the smart device.

[1015] Examples of concrete examples and prompts

[1016] Specific examples

[1017] For example, an entrepreneur wants to create a business plan for an "online health consultation platform." They input their business idea and market analysis, and the generative AI model (GPT-4) generates an initial business plan. The entrepreneur can then provide feedback, such as "I'd like you to strengthen the marketing strategy," and receive a regenerated business plan.

[1018] Prompt Sentence Examples

[1019] Generate a business plan for an online health consultation platform. Use the following information to create a detailed plan that includes market analysis, competitive analysis, and financial planning:

[1020] Business idea: Online health consultation platform

[1021] Market Analysis: Current Status of Online Medical Consultation Market

[1022] Competitive analysis: Competitors of existing online medical consultation services

[1023] Financial Planning: Initial Investment, Revenue Projections, Cash Flow

[1024] This approach allows users to efficiently plan their business and make investment decisions.

[1025] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1026] Step 1:

[1027] Data Entry

[1028] Users (entrepreneurs) input business information through a terminal. Specifically, information such as business ideas, market analysis, competitive analysis, and financial plans is entered. This information is sent to the server via an input form and stored in a database. The entered business information is processed and stored on the server, enabling subsequent data calculations.

[1029] Step 2:

[1030] Generate a business plan

[1031] The server retrieves business information stored in a database and supplies it to a generative AI model. The generative AI model (e.g., GPT-4) generates a business plan based on the provided business information. During this process, the input information is analyzed using a natural language processing algorithm, and a structured business plan is output. The generated business plan is stored in a database and sent to the user's device.

[1032] Step 3:

[1033] Display and confirmation

[1034] The user (entrepreneur) reviews the generated business plan on the device. Using a display device such as a smartphone, smart glasses, or head-mounted display, the generated business plan can be viewed in detail. Feedback is always provided to allow the user to evaluate the content of the business plan and identify any necessary revisions.

[1035] Step 4:

[1036] Enter your feedback

[1037] The user (entrepreneur) enters feedback on the displayed business plan. Specifically, they enter corrections and additional information into a feedback form on their device and send it to the server. The feedback data is stored in a database and supplied to the generative AI model. The feedback will be used as the basis for future data calculations.

[1038] Step 5:

[1039] Regenerate your business plan

[1040] The server then runs the generative AI model again based on the collected feedback. The generative AI model then regenerates a revised business plan that incorporates the feedback information. During this process, new data processing and calculations are performed, resulting in an optimized business plan. The revised business plan is then stored in a database and sent to the user's device.

[1041] Step 6:

[1042] Enter your company information

[1043] The user (investor) inputs information about the company to be evaluated through a terminal. Detailed data such as the company's name, industry, business situation, and financial information is entered into an input form and sent to the server. This information is stored in a database and fed into the evaluation algorithm.

[1044] Step 7:

[1045] Evaluation Support

[1046] The server supplies the company information stored in the database to the evaluation algorithm. The evaluation algorithm analyzes the input company information based on past successful and unsuccessful investment cases and generates a risk and return evaluation result. During this process, the data is analyzed using a machine learning model and the evaluation result is output. The generated evaluation result is stored in the database and sent to the user's device.

[1047] Step 8:

[1048] Displaying the evaluation results

[1049] The user (investor) checks the evaluation results displayed on the device. The generated evaluation results can be specifically checked using a smartphone, smart glasses, or a head-mounted display. Based on the evaluation results, the user makes an investment decision.

[1050] Step 9:

[1051] Management of external companies

[1052] The server manages usage requests from external companies. When an external company requests to use the system, the request is received and managed by the server. Based on the usage request, system usage rights are granted and charges are incurred.

[1053] Step 10:

[1054] Providing services to external companies

[1055] The server provides external companies with a service for using the generative AI model and evaluation algorithm. External companies can generate business plans and evaluation results through the server, which can then be viewed on a smart device. Usage status is monitored, and usage fees are charged as necessary.

[1056] This will enable entrepreneurs and investors to efficiently develop and evaluate business plans, and external companies will also be able to enjoy the same services.

[1057] 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.

[1058] This invention relates to a support system for entrepreneurs to efficiently formulate business plans and investors to make appropriate investment decisions. It describes a specific method for generating and evaluating business plans using a generative AI model. Furthermore, this invention combines an emotion engine to provide flexible business plans and evaluation results based on the user's emotions.

[1059] overview

[1060] This system combines a data processing device, generative AI model, display device, evaluation algorithm, and emotion engine to automate and efficiently support a series of processes, from inputting business information, generating business plans, collecting and regenerating feedback, evaluating investee companies, and making adjustments based on emotion information.

[1061] Overall system configuration

[1062] 1. Data processing device (server): Receives input business and corporate information and supplies the necessary data to the generated AI model, evaluation algorithm, and emotion engine.

[1063] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it by reflecting feedback and emotional information.

[1064] 3. Emotion engine (in the server): Recognizes the user's emotions, collects and analyzes the emotional information.

[1065] 4. Display device (terminal): Visually displays the generated business plan proposal and evaluation results to the user.

[1066] 5. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[1067] Program processing flow

[1068] Business plan development for entrepreneurs

[1069] Data entry and initial business plan generation

[1070] 1. Data Entry

[1071] Users (entrepreneurs) log in to the terminal and enter business information such as business ideas, market analysis, competitive analysis, and financial plans.

[1072] The terminal stores the entered business information locally and prepares it for transmission to the server.

[1073] 2. Receiving and storing business information

[1074] The server receives the business information sent from the terminal.

[1075] The server stores the received business information in a database.

[1076] 3. Generate a business plan

[1077] The server retrieves stored business information from the database and feeds it into the generative AI model.

[1078] The generative AI model generates an initial business plan proposal based on the business information provided.

[1079] The server stores the generated business plan in a database and sends it to the user's terminal.

[1080] 4. Display of business plan proposal

[1081] The terminal displays the received business plan to the user.

[1082] Feedback and Regeneration

[1083] 5. Enter your feedback

[1084] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements into a feedback form.

[1085] The terminal stores the feedback locally and prepares to send it to the server.

[1086] 6. Receiving and Processing Feedback

[1087] The server receives the feedback sent from the terminal.

[1088] The server feeds the feedback back into the generative AI model.

[1089] 7. Adding Emotional Information

[1090] The emotion engine recognizes the user's emotions and collects and analyzes the emotion information.

[1091] The server provides the analyzed emotion information to the generative AI model.

[1092] 8. Generate a regenerated business plan proposal

[1093] The generative AI model generates new business proposals based on feedback and sentiment information.

[1094] The server stores the new business plan in a database and sends it to the user's device.

[1095] 9. Display of new business plan proposal

[1096] The terminal displays the received new business plan to the user.

[1097] Investor evaluation of investee companies

[1098] 1. Enter your company information

[1099] Users (investors) log in to the terminal and enter information about the company they are considering investing in.

[1100] The terminal locally stores the input company information and prepares it for transmission to the server.

[1101] 2. Receiving and storing company information

[1102] The server receives the company information sent from the terminal.

[1103] The server stores the received company information in a database.

[1104] 3. Evaluation of company information

[1105] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[1106] The evaluation algorithm evaluates company information based on past investment successes and failures.

[1107] The emotion engine recognizes the user's emotions and adds emotion information to the evaluation results.

[1108] The server generates the evaluation results and stores them in a database.

[1109] 4. Presentation of evaluation results

[1110] The server transmits the evaluation results to the user's terminal.

[1111] The terminal displays the received evaluation results to the user.

[1112] Specific examples

[1113] Examples of business plan development for entrepreneurs

[1114] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, and cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be made more specific. Furthermore, an emotion engine collects and analyzes emotional information to increase the user's interest. The server then re-runs the generative AI model based on the feedback and emotional information, generating a revised business plan and providing it to the user.

[1115] Specific examples of investor evaluations of investee companies

[1116] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." Furthermore, an emotion engine adds emotional information that reflects the user's concerns and expectations to the evaluation result. The user then makes an investment decision based on the presented evaluation results.

[1117] Providing services to external companies

[1118] This system can also be used by external companies. When an external company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments. The emotion engine recognizes the emotions of external company personnel and provides optimal feedback. The server monitors the usage status of external companies and provides necessary support.

[1119] The above is a specific embodiment for carrying out the present invention. This system improves the efficiency of business planning and investment decisions, and can provide useful value to a wide range of users.

[1120] The processing flow will be explained below.

[1121] Business plan development for entrepreneurs

[1122] Data entry and initial business plan generation

[1123] Step 1:

[1124] A user (entrepreneur) logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[1125] Step 2:

[1126] The terminal stores the entered business information locally and prepares it for transmission to the server.

[1127] Step 3:

[1128] The server receives the business information sent from the terminal.

[1129] Step 4:

[1130] The server stores the received business information in a database.

[1131] Step 5:

[1132] The server retrieves stored business information from the database and feeds it into the generative AI model.

[1133] Step 6:

[1134] The generative AI model generates an initial business plan proposal based on the business information provided.

[1135] Step 7:

[1136] The server stores the generated business plan in a database.

[1137] Step 8:

[1138] The server sends the initial business plan to the user's terminal.

[1139] Step 9:

[1140] The terminal displays the received business plan to the user.

[1141] Feedback and Regeneration

[1142] Step 10:

[1143] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[1144] Step 11:

[1145] The terminal stores the feedback locally and prepares to send it to the server.

[1146] Step 12:

[1147] The server receives the feedback sent from the terminal.

[1148] Step 13:

[1149] The server re-feeds the received feedback to the generative AI model.

[1150] Step 14:

[1151] The emotion engine analyzes the user's emotions from their facial expressions and language, and sends that data to the server.

[1152] Step 15:

[1153] The server reflects the collected emotional data in the generative AI model.

[1154] Step 16:

[1155] The generative AI model generates a new business plan proposal based on the feedback and emotional information.

[1156] Step 17:

[1157] The server stores the new business plan in a database.

[1158] Step 18:

[1159] The server sends the new business plan to the user's terminal.

[1160] Step 19:

[1161] The terminal displays the received new business plan to the user.

[1162] Investor evaluation of investee companies

[1163] Company information input and evaluation support

[1164] Step 1:

[1165] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[1166] Step 2:

[1167] The terminal locally stores the input company information and prepares it for transmission to the server.

[1168] Step 3:

[1169] The server receives the company information sent from the terminal.

[1170] Step 4:

[1171] The server stores the received company information in a database.

[1172] Step 5:

[1173] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[1174] Step 6:

[1175] The evaluation algorithm evaluates company information based on past investment successes and failures.

[1176] Step 7:

[1177] The emotion engine analyzes the user's emotions from their facial expressions and language, and sends that data to the server.

[1178] Step 8:

[1179] The server reflects the emotion data in the evaluation result to generate a comprehensive evaluation result.

[1180] Step 9:

[1181] The server stores the generated comprehensive evaluation results in a database.

[1182] Step 10:

[1183] The server transmits the evaluation results to the user's terminal.

[1184] Step 11:

[1185] The terminal displays the received evaluation results to the user.

[1186] Providing services to external companies

[1187] Usage requests and service provision

[1188] Step 1:

[1189] External companies send requests to use the system from their terminals.

[1190] Step 2:

[1191] The server receives a usage request from an external company.

[1192] Step 3:

[1193] Based on the usage request, the server creates an account for the external company and calculates the usage fee.

[1194] Step 4:

[1195] An external company pays the usage fee.

[1196] Step 5:

[1197] The server grants external companies permission to use the generated AI model.

[1198] Step 6:

[1199] External companies can use the generated AI model on their devices to develop their own business plans and evaluate investments.

[1200] Step 7:

[1201] The emotion engine analyzes the emotions of external company personnel from their facial expressions and language, and sends that data to a server.

[1202] Step 8:

[1203] The server provides appropriate support and feedback based on the analyzed emotional data.

[1204] Step 9:

[1205] The server monitors the usage of external companies and provides necessary support.

[1206] The above is a concrete explanation of the program processing steps in a system that combines emotion engines.

[1207] Example 2

[1208] 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."

[1209] In today's business environment, there is a need for support systems that help entrepreneurs efficiently formulate business plans and investors make appropriate investment decisions. However, conventional systems have not adequately considered users' emotional information during the process of inputting, analyzing, and evaluating business information. This has made it difficult to generate flexible business plans and support investment decisions that reflect users' intentions and emotions.

[1210] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for inputting business information using the data processing device, a means for generating a business plan proposal based on the input business information using a generative artificial intelligence model, and a means for collecting and analyzing user emotion information using an emotion recognition engine. This makes it possible to generate and regenerate a business plan that reflects the user's emotion information.

[1211] - "Data Processing Equipment" means a combination of hardware and software for collecting, analyzing, storing, and transmitting business information.

[1212] "Business information" refers to data such as market analysis, competitive analysis, and financial plans that entrepreneurs and investors need to make business plans and investment decisions.

[1213] A "generative artificial intelligence model" is a machine learning algorithm and its execution environment for generating business plan proposals and evaluation results based on input business information.

[1214] "Draft Business Plan" means a draft business plan generated by a generative AI model, including, but not limited to, a market analysis, competitive analysis, and financial forecasts.

[1215] A "display device" is a device such as a monitor, screen, or browser that visually presents the generated business plan proposal and evaluation results to the user.

[1216] "User feedback" refers to opinions and comments such as corrections and improvements provided by users regarding the proposed business plan and evaluation results.

[1217] An "emotion recognition engine" is a software or hardware system for detecting and analyzing a user's emotions.

[1218] "Emotion information" is data that indicates the user's emotional state as detected and analyzed by the emotion engine.

[1219] An "evaluation algorithm" is a calculation method and its execution environment for analyzing and evaluating corporate information based on past investment successes and failures.

[1220] "External organizations" refer to companies and organizations that use the system, and are third parties that use the system for business planning and investment evaluation.

[1221] The system is designed to help entrepreneurs efficiently develop business plans and investors make appropriate investment decisions. The system mainly includes a data processing device, a generative artificial intelligence model, an emotion recognition engine, a display device, and an evaluation algorithm.

[1222] Hardware and software used

[1223] 1. Data processing device (server)

[1224] The server used is a central location that receives business and corporate information and supplies the necessary data to the generative AI model, evaluation algorithm, and emotion engine. For example, cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform can be used.

[1225] 2. Generative AI Models

[1226] Generative artificial intelligence models that generate business plans based on business information, such as OpenAI GPT-3 and other natural language processing (NLP) models, can analyze information and generate effective business plans.

[1227] 3. Emotion Recognition Engine

[1228] Engines used to recognize user emotions and analyze the emotional information include, for example, IBM Watson's Emotion Analysis API and other emotion recognition software.

[1229] 4. Display Device (Terminal)

[1230] A device that visually presents the generated business plan and evaluation results to the user, and is generally a PC, tablet, smartphone, or other device. A web browser or dedicated application is used for display.

[1231] 5. Evaluation Algorithm

[1232] It is an algorithm for evaluating company information based on past investment successes and failures, and also takes into account user sentiment to produce evaluation results. It is implemented using statistical modeling and machine learning algorithms.

[1233] Specific examples

[1234] Examples of business plan development for entrepreneurs

[1235] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, and cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be specified. Furthermore, an emotion engine collects and analyzes emotional information to increase the user's interest. The server then re-runs the generative AI model based on the feedback and emotional information, generating a revised business plan and providing it to the user.

[1236] Specific examples of investor evaluations of investee companies

[1237] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." Furthermore, an emotion engine adds emotional information that reflects the user's concerns and expectations to the evaluation result. The user then makes an investment decision based on the presented evaluation results.

[1238] Prompt Sentence Examples

[1239] "I want to build an online learning platform, but I need a business plan based on market and competitive analysis."

[1240] "I'd like to evaluate a startup in the education sector. Please generate a valuation result based on past investments and sentiment information."

[1241] According to the above-described aspects, the present invention can realize a high level of automation that takes into account the emotional information of the user in formulating business plans and supporting investment decisions.

[1242] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1243] Business plan development for entrepreneurs

[1244] Step 1: Data entry

[1245] A user logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[1246] Specific operation: The user enters business information into the input form on the terminal and clicks the "Submit" button.

[1247] Input: Business information such as business idea, market analysis, competitive analysis, financial plan, etc.

[1248] Output: Business information is retained on the device.

[1249] Step 2: Receiving and storing business information

[1250] The terminal stores the entered business information locally and prepares it for transmission to the server.

[1251] The server receives the business information sent from the terminal and stores it in a database.

[1252] Specific operation: The terminal sends business information to the server, and the server writes the information into the database.

[1253] Input: Business information sent from the device.

[1254] Output: Business information stored in a database.

[1255] Step 3: Generate a business plan

[1256] The server retrieves stored business information from the database and feeds it into the generative AI model.

[1257] The generative AI model generates an initial business plan proposal based on the business information provided.

[1258] How it works: The server calls the generative AI model and provides business information, after which the generative AI model generates a business plan.

[1259] Input: Business information retrieved from the database.

[1260] Output: Initial business plan proposal.

[1261] Step 4: Save and submit your business plan

[1262] The server stores the generated business plan in a database and transmits it to the user's terminal.

[1263] Specific operation: The server stores the generated business plan in a database and then transmits it to the user terminal.

[1264] Input: Generated business plan proposal.

[1265] Output: Business plan proposal stored in the database and business plan proposal sent to the user's terminal.

[1266] Step 5: View the business plan

[1267] The terminal displays the received business plan to the user.

[1268] Specific operation: The terminal displays the received business plan on the screen.

[1269] Input: Business plan proposal sent from the server.

[1270] Output: A proposed business plan displayed to the user.

[1271] Step 6: Provide feedback

[1272] The user reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[1273] The terminal stores the feedback locally and prepares to send it to the server.

[1274] Specific operation: The user enters a comment into the feedback form on the terminal and clicks the "Submit" button.

[1275] Input: User feedback.

[1276] Output: Feedback stored on the device.

[1277] Step 7: Receiving and processing feedback

[1278] The server receives the feedback sent from the terminal.

[1279] The server re-feeds the received feedback to the generative AI model.

[1280] Specific operation: The server stores the feedback in a database and then provides it to the generative AI model.

[1281] Input: Feedback sent from the device.

[1282] Output: Feedback fed to the generative AI model.

[1283] Step 8: Collect and analyze emotional information

[1284] The emotion engine recognizes the user's emotions and collects and analyzes the emotion information.

[1285] Specific operation: The emotion engine analyzes data such as the user's input speed and eye tracking to generate emotion information.

[1286] Input: User emotional data (typing speed, eye tracking, etc.).

[1287] Output: Parsed emotion information.

[1288] Step 9: Adding Emotional Information

[1289] The server provides the analyzed emotion information to the generative AI model.

[1290] Specific operation: The server provides the analyzed emotion information to the generative AI model.

[1291] Input: Parsed emotion information.

[1292] Output: Emotion information fed into the generative AI model.

[1293] Step 10: Generate a regenerated business plan

[1294] The generative AI model generates new business proposals based on feedback and sentiment information.

[1295] Specific operation: The generative AI model is run again to generate a new business plan proposal.

[1296] Input: Feedback and emotional information.

[1297] Output: A new, regenerated business plan.

[1298] Step 11: Save and submit your new business plan

[1299] The server stores the new business plan in a database and sends it to the user's terminal.

[1300] Specific operation: The server stores the regenerated business plan in the database and sends it to the user terminal.

[1301] Input: A newly generated business plan.

[1302] Output: New business plan proposal stored in the database and business plan proposal sent to the user's terminal.

[1303] Step 12: Displaying the new business plan

[1304] The terminal displays the received new business plan to the user.

[1305] Specific operation: The terminal displays the received new business plan on the screen.

[1306] Input: A new business plan submitted by the server.

[1307] Output: The new business plan proposal displayed to the user.

[1308] Investor evaluation of investee companies

[1309] Step 1: Enter your company information

[1310] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[1311] Specific operation: The user enters company information into the input form on the terminal and clicks the "Submit" button.

[1312] Enter: Company Information.

[1313] Output: Company information stored on the device.

[1314] Step 2: Receiving and storing company information

[1315] The terminal locally stores the input company information and prepares it for transmission to the server.

[1316] The server receives the company information sent from the terminal and stores it in a database.

[1317] Specific operation: The terminal sends the company information to the server, and the server writes the information into the database.

[1318] Input: Company information sent from the device.

[1319] Output: Company information stored in a database.

[1320] Step 3: Evaluate company information

[1321] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[1322] The evaluation algorithm evaluates company information using data on past investment successes and failures to generate evaluation results.

[1323] The emotion engine recognizes the user's emotion and adds the emotion information to the evaluation result.

[1324] How it works: The evaluation algorithm analyzes company information and generates evaluation results. The emotion engine adds user emotional information.

[1325] Input: Company information and user sentiment information obtained from the database.

[1326] Output: Evaluation results.

[1327] Step 4: Presenting the evaluation results

[1328] The server transmits the evaluation results to the user's terminal.

[1329] The terminal displays the received evaluation results to the user.

[1330] Specific operation: The server sends the evaluation results to the user's terminal, and the terminal displays the results on the screen.

[1331] Input: The evaluation result sent from the server.

[1332] Output: The evaluation results displayed to the user.

[1333] (Application example 2)

[1334] 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."

[1335] When planning autonomous vehicle operations, conventional methods have difficulty selecting optimal routes and making flexible adjustments based on user emotions, which leads to problems such as insufficient improvement of user experience and efficient operation.

[1336] 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.

[1337] In this invention, the server includes means for inputting operation information of the autonomous vehicle using a data processing device, means for generating a route plan based on the input operation information using a generative AI model, means for analyzing user emotion information using an emotion engine and reflecting the analysis in the route plan, means for collecting user feedback on the presented route plan, and means for reapplying the generative AI model based on the collected feedback and emotion information to generate a new route plan. This enables optimal route proposals according to the user's emotions and flexible replanning based on the feedback.

[1338] A "data processing device" is a device that has the ability to receive, analyze, and store input information.

[1339] A "generative artificial intelligence model" is a machine learning model that analyzes patterns based on input data and generates quantitative or qualitative predictions and suggestions.

[1340] An "emotion engine" is an algorithm and device for recognizing a user's emotions and analyzing that emotional information.

[1341] A "display device" is a device that visually presents generated information and plans to a user.

[1342] "Feedback" means any opinion or information provided by a user to the system for correction or improvement.

[1343] A "route plan" is a travel plan that includes the optimal route from a specified starting point to a destination.

[1344] "Operation information" refers to specific information about operations such as the departure point, destination, stopovers, and desired arrival time.

[1345] A "replan" is a new plan that is generated by modifying an existing plan based on user feedback and emotional information.

[1346] Overall system configuration

[1347] The present invention is a system for formulating operation plans and optimizing routes for autonomous vehicles, which combines a data processing device, a generative AI model, an emotion engine, and a display device. A user (an operator or passenger of an autonomous vehicle) inputs operation information using an application and obtains an optimal route plan. A specific implementation of the present invention is described below.

[1348] Data Processing Unit

[1349] The data processing device receives operation information (starting point, destination, intermediate points, desired arrival time, etc.) entered from a device such as a smartphone and sends it to the server. It also acquires route plans and evaluation results generated by the generative AI model and emotion engine, and presents them to the user again.

[1350] Generative AI Models

[1351] The generative AI model is built using programming languages ​​such as Python. It generates optimal route plans based on operational information, taking into account factors such as traffic conditions, fuel efficiency, and safety. It also re-plans based on user feedback and information from an emotion engine.

[1352] Emotion Engine

[1353] The emotion engine implements algorithms to analyze emotions from user input and behavior, allowing it to provide better route planning that takes into account the user's stress level and sense of security.

[1354] display device

[1355] The display device is a mobile device such as a smartphone or tablet that visually displays the generated route plan or replan to the user, allowing the user to easily review the information and provide any necessary feedback.

[1356] Specific examples

[1357] Consider a case where a user inputs travel information such as "From Tokyo Station to Kyoto Station, stopping at Nagoya Station on the way, and arriving by 13:00." The data processing device sends that information to the server, and the generative AI model generates an optimal route plan. For example, a plan that takes into account highway congestion and fuel efficiency is presented. When that plan is displayed on the display device, the user provides feedback such as "I would like a route that avoids traffic jams." Along with this feedback, the emotion engine analyzes the user's stress level and reflects it in the generative AI model. The regenerated route plan is presented to the user again, allowing the user to begin driving with peace of mind.

[1358] Prompt Sentence Examples

[1359] The departure point is Tokyo Station, the destination is Kyoto Station, and the stopover is Nagoya Station. The desired arrival time is 13:00. Please suggest the best route.

[1360] As described above, the present invention is a system that proposes optimal routes that take user emotions into consideration and enables flexible re-planning when formulating operation plans for autonomous vehicles.

[1361] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1362] Step 1:

[1363] Users use a smartphone application to input operation information such as departure point, destination, intermediate stops, and desired arrival time.

[1364] Input: Departure point, destination, stopover, desired arrival time

[1365] Output: Traffic information data

[1366] Specific operation: The user inputs operation information into the application interface and presses the "Send" button. The application converts this information into an internal data format, stores it locally, and prepares it for transmission to the server.

[1367] Step 2:

[1368] The terminal transmits the operation information input by the user to the server.

[1369] Input: Traffic information data

[1370] Output: Traffic information data sent to the server

[1371] Specific operation: The device sends the operation information data it holds internally to the server using an HTTPS request, etc. The server receives the data and stores it in a database.

[1372] Step 3:

[1373] The server acquires the received operational information and supplies it to the generative AI model.

[1374] Input: Traffic information data stored in the database

[1375] Output: Traffic information data fed into the generative AI model

[1376] Specific operation: The server reads operation information data from the database and provides the data to the generative AI model via API calls, etc. Based on this, the generative AI model begins the process of generating an initial route plan.

[1377] Step 4:

[1378] The generative AI model generates an optimal route plan based on the provided operation information and sends it back to the server.

[1379] Input: Traffic information data

[1380] Output: Initial route planning data

[1381] How it works: The generative AI model processes operational information and calculates the optimal route, taking into account parameters such as traffic conditions, fuel efficiency, and safety. Once the calculation is complete, it sends the resulting route planning data back to the server.

[1382] Step 5:

[1383] The server stores the generated route planning data in a database and transmits it to the user's terminal.

[1384] Input: Initial route planning data

[1385] Output: Route planning data sent to the device

[1386] Specific operation: The server saves the generated route plan in the database and sends the data to the terminal, which receives it and proceeds to the next step.

[1387] Step 6:

[1388] The terminal displays the received route plan to the user.

[1389] Input: Route planning data

[1390] Output: Route plan displayed to the user

[1391] Specific operation: The device analyzes the received data and displays the route plan in an optimized format on the display device. The user confirms the proposed route.

[1392] Step 7:

[1393] User feedback on route planning.

[1394] Input: Route planning, user feedback

[1395] Output: Feedback data

[1396] Specific operation: The user checks the displayed route plan and enters any complaints or corrections they would like to make in the feedback field. The device stores this locally and prepares to send it to the server.

[1397] Step 8:

[1398] The server receives the feedback sent from the terminal and collects the feedback data.

[1399] Input: Feedback data

[1400] Output: Feedback data stored in a database

[1401] Specific operation: The server receives the feedback data sent from the device and stores it in a database, then prepares it to be re-fed to the generative AI model.

[1402] Step 9:

[1403] The emotion engine analyzes the user's emotional information and supplies that emotional information to the generative AI model.

[1404] Input: Feedback data, user sentiment information

[1405] Output: Parsed emotion information

[1406] How it works: The emotion engine analyzes emotions from feedback and user usage and feeds the results into a generative AI model, which reflects the user's emotional state in real time.

[1407] Step 10:

[1408] The generative AI model re-plans based on collected feedback and sentiment information, generating a new route plan.

[1409] Input: Feedback data, emotional information

[1410] Output: New route planning data

[1411] How it works: The generative AI model re-runs the algorithm based on the feedback and emotion information to generate a new route plan, which is then sent back to the server.

[1412] Step 11:

[1413] The server stores the newly generated route planning data in a database and transmits it again to the user's terminal.

[1414] Input: New route planning data

[1415] Output: New route planning data sent to the device

[1416] Specific operation: The server saves the new route plan in the database and sends it to the device, which receives it and proceeds to the next step.

[1417] Step 12:

[1418] The device displays the new route plan to the user.

[1419] Input: New route planning data

[1420] Output: Route plan redisplayed to the user

[1421] Specific behavior: The device displays the received new route plan to the user and completes the session. The user is satisfied with the revised route plan and begins driving.

[1422] The above are the processing steps of the system for implementing the present invention.

[1423] 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.

[1424] 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.

[1425] 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.

[1426] [Third embodiment]

[1427] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1428] 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.

[1429] 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).

[1430] 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.

[1431] 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.

[1432] 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).

[1433] 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. 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.

[1434] 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.

[1435] 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.

[1436] 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.

[1437] 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.

[1438] 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."

[1439] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[1440] overview

[1441] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[1442] Overall system configuration

[1443] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[1444] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[1445] 3. Display device (terminal): Visually displays the generated business plan proposal and evaluation results to the user.

[1446] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[1447] Program processing flow

[1448] Business plan development for entrepreneurs

[1449] 1. Data Entry

[1450] Users (entrepreneurs) log in to the terminal and enter business information such as business ideas, market analysis, competitive analysis, and financial plans.

[1451] The server receives the business information entered by the user and stores it in a database.

[1452] 2. Generate a business plan

[1453] The server feeds the stored business information to the generative AI model.

[1454] The generative AI model generates an initial business plan proposal based on the input information.

[1455] The server stores the generated business plan in a database and sends it to the user's terminal.

[1456] 3. Feedback and Regeneration

[1457] The user (entrepreneur) reviews the proposed business plan and, if necessary, enters corrections or improvements into a feedback form.

[1458] The server receives user feedback and feeds it back into the generative AI model.

[1459] The generative AI model generates a new business plan that reflects the feedback, and the server stores this in a database and sends it to the user's device.

[1460] Investor evaluation of investee companies

[1461] 1. Enter your company information

[1462] Users (investors) log in to the terminal and enter information about the company they are considering investing in.

[1463] The server receives the company information entered by the user and stores it in a database.

[1464] 2. Evaluation support

[1465] The server provides the stored business information to the rating algorithm.

[1466] The evaluation algorithm evaluates based on past successful and unsuccessful investment cases and generates risk and return evaluation results.

[1467] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[1468] Specific examples

[1469] Examples of business plan development for entrepreneurs

[1470] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be specified. The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[1471] Specific examples of investor evaluations of investee companies

[1472] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[1473] Providing services to external companies

[1474] This system can also be used by external companies. When an external company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments. The server monitors the usage status of external companies and provides necessary support.

[1475] The above is a specific embodiment for carrying out the present invention. This system improves the efficiency of business planning and investment decisions, and can provide useful value to a wide range of users.

[1476] The processing flow will be explained below.

[1477] Business plan development for entrepreneurs

[1478] Data entry and initial business plan generation

[1479] Step 1:

[1480] A user (entrepreneur) logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[1481] Step 2:

[1482] The terminal stores the entered business information locally and prepares it for transmission to the server.

[1483] Step 3:

[1484] The server receives the business information sent from the terminal.

[1485] Step 4:

[1486] The server stores the received business information in a database.

[1487] Step 5:

[1488] The server retrieves stored business information from the database and feeds it into the generative AI model.

[1489] Step 6:

[1490] The generative AI model generates an initial business plan proposal based on the business information provided.

[1491] Step 7:

[1492] The server stores the generated initial business plan in a database.

[1493] Step 8:

[1494] The server sends the initial business plan to the user's terminal.

[1495] Step 9:

[1496] The terminal displays the received business plan to the user.

[1497] Feedback and Regeneration

[1498] Step 10:

[1499] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[1500] Step 11:

[1501] The terminal stores the feedback locally and prepares to send it to the server.

[1502] Step 12:

[1503] The server receives the feedback sent from the terminal.

[1504] Step 13:

[1505] The server re-feeds the received feedback to the generative AI model.

[1506] Step 14:

[1507] The generative AI model generates a new business plan proposal that reflects the feedback.

[1508] Step 15:

[1509] The server stores the new business plan in a database.

[1510] Step 16:

[1511] The server transmits the regenerated business plan to the user's terminal.

[1512] Step 17:

[1513] The terminal displays the received new business plan to the user.

[1514] Investor evaluation of investee companies

[1515] Company information input and evaluation support

[1516] Step 1:

[1517] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[1518] Step 2:

[1519] The terminal locally stores the input company information and prepares it for transmission to the server.

[1520] Step 3:

[1521] The server receives the company information sent from the terminal.

[1522] Step 4:

[1523] The server stores the received company information in a database.

[1524] Step 5:

[1525] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[1526] Step 6:

[1527] The evaluation algorithm evaluates company information based on past investment successes and failures.

[1528] Step 7:

[1529] The server generates the evaluation results and stores them in a database.

[1530] Step 8:

[1531] The server transmits the evaluation results to the user's terminal.

[1532] Step 9:

[1533] The terminal displays the received evaluation results to the user.

[1534] Providing services to external companies

[1535] Usage requests and service provision

[1536] Step 1:

[1537] External companies send requests to use the system from their terminals.

[1538] Step 2:

[1539] The server receives a usage request from an external company.

[1540] Step 3:

[1541] Based on the usage request, the server creates an account for the external company and calculates the usage fee.

[1542] Step 4:

[1543] An external company pays the usage fee.

[1544] Step 5:

[1545] The server grants external companies permission to use the generated AI model.

[1546] Step 6:

[1547] External companies can use the generated AI model on their devices to develop their own business plans and evaluate investments.

[1548] Step 7:

[1549] The server monitors the usage of external companies and provides necessary support.

[1550] The above is a concrete explanation of the processing of the system program.

[1551] Example 1

[1552] 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."

[1553] Traditional business planning and investment evaluation methods required a lot of time and effort to manually collect and analyze information, making them inefficient. The process of collecting feedback and then regenerating the plan based on that feedback was also time-consuming, making it difficult to make quick decisions. Furthermore, there was no system in place for managing and billing external companies when using these tools, making them ineffective.

[1554] 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.

[1555] In this invention, the server includes means for inputting business information using a data processing device, means for generating a business plan proposal based on the input business information using a generative AI model, means for presenting the generated business plan proposal on a display device, means for collecting user feedback on the presented business plan proposal, means for reapplying the generative AI model based on the collected feedback to generate a new business plan proposal, and means for presenting the presented business plan proposal and evaluation results again on the display device, thereby enabling users to quickly and efficiently formulate business plans and make investment decisions.

[1556] A "data processing device" is an electronic device used to input and store business information and feed it into generative AI models and evaluation algorithms.

[1557] "Business information" refers to data necessary for formulating a business plan, such as business ideas, market analysis, competitive analysis, and financial plans.

[1558] A "generative AI model" is an artificial intelligence system that automatically generates a business plan proposal based on input business information and regenerates it based on user feedback.

[1559] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[1560] "Feedback" refers to opinions and comments provided by users regarding corrections and improvements to the generated business plan proposal and evaluation results.

[1561] An "evaluation algorithm" is a calculation method and process for analyzing past investment successes and failures to assess the risk and return of target companies.

[1562] "External organization" refers to an external company or institution that uses this system, including users who are the subject of system usage requests and billing management.

[1563] "Usage Request" refers to a service request made by an external organization to use this system.

[1564] "Usage Fee" means the amount payable by an External Organization for use of this System.

[1565] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[1566] System configuration

[1567] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[1568] 1. Data processing device (server):

[1569] The server is a device that receives business and corporate information entered by users from their terminals and supplies the necessary data to the generative AI model and evaluation algorithm.

[1570] The data is stored in a database and used for processing generative AI models and analysis of evaluation algorithms.

[1571] 2. Generative AI model (on the server):

[1572] The generative AI model located on the server generates a business plan proposal based on the business information entered by the user.

[1573] To achieve complete automation, the system also has the ability to reflect user feedback and regenerate new business plan proposals.

[1574] 3. Display Device (Terminal):

[1575] The terminal is a device that visually displays the generated business plan proposal and evaluation results to the user.

[1576] Users who log in to the terminal can enter business information, check the generated plan and evaluation results, and provide feedback.

[1577] 4. Users (entrepreneurs and investors):

[1578] A user is a person who accesses the system and enters the necessary business or company information.

[1579] Check the plans and evaluation results generated based on the information entered and provide feedback as needed.

[1580] Specific examples

[1581] Examples of business plan development for entrepreneurs

[1582] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives the information and supplies it to the generative AI model. The generative AI model generates a business plan that includes market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, such as "I would like the advertising strategy to be more specific." The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[1583] Example prompt sentence:

[1584] "Business idea: Online learning platform. Market: Online education market. Competitive analysis: Strategies and market share of key competitors. Financial planning: Initial investment and revenue projections."

[1585] Specific examples of investor evaluations of investee companies

[1586] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives the information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[1587] Example prompt sentence:

[1588] "Company Information: Educational startups. Evaluating the risk and return of companies based on past investment cases."

[1589] Providing services to external companies

[1590] This system can also be used by external companies. When a company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments, and the server monitors the external companies' usage and provides any necessary support.

[1591] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1592] Business plan development for entrepreneurs

[1593] Step 1: Data entry

[1594] After logging in to the dedicated terminal, the user inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[1595] Specific operations: The user enters specific business information such as "Business idea: online learning platform" and "Market analysis: current state of the online education market and potential customer demographics" into the form input screen.

[1596] Input: User-entered business information

[1597] Output: Business information sent to the server

[1598] The server receives the input information in real time and stores it in a database.

[1599] Step 2: Generate a business plan

[1600] The server transfers the business information stored in the database to the generative AI model.

[1601] Specific operation: The server extracts information such as "market analysis," "competitive analysis," and "financial planning" from the database and supplies it to the generative AI model.

[1602] Input: Business information extracted from a database

[1603] Output: Business information to feed the generative AI model

[1604] The generative AI model generates an initial business plan proposal based on the information provided.

[1605] How it works: The generative AI model creates prompt statements and analyzes input data, such as "Business idea: online learning platform; Market analysis: current state and potential customer base of the online education market; Competitive analysis: strategies of major competitors," to generate a business plan.

[1606] Input: Business information fed into the generative AI model

[1607] Output: Generated initial business plan

[1608] The server stores the generated business plan again in the database and transmits it to the user's terminal.

[1609] Step 3: Feedback and Regeneration

[1610] The user checks the proposed business plan and enters any shortcomings or corrections in the feedback form.

[1611] Specific Action: After reviewing the plan, the user provides feedback such as "I would like you to specify the advertising strategy."

[1612] Input: User-provided feedback

[1613] Output: Feedback information sent to the server

[1614] The server receives the user's feedback and forwards it back to the generative AI model.

[1615] Specific action: The server sends it to the generative AI model and adds the prompt "Specify your advertising strategy" to prompt regeneration.

[1616] Input: Feedback information

[1617] Output: Feedback information for transfer to the generative AI model

[1618] The generative AI model reflects the feedback and generates a new business plan proposal.

[1619] Specific actions: The generative AI model generates new plans and adds specific advertising strategies.

[1620] Input: Feedback information received from users

[1621] Output: Revised new business plan

[1622] The server stores the revised business plan in a database and transmits it to the user's terminal.

[1623] Investor evaluation of investee companies

[1624] Step 1: Enter your company information

[1625] The user logs in to a dedicated terminal and enters information about the target company.

[1626] Specific operation: The user enters information such as "Company information: Startup in the education field" and "Company financial data."

[1627] Input: Company information entered by the user

[1628] Output: Company information sent to the server

[1629] The server receives the entered company information in real time and stores it in a database.

[1630] Step 2: Evaluation support

[1631] The server supplies the business information stored in the database to the rating algorithm.

[1632] Specific operation: The server extracts financial and market information about companies from the database and feeds it into the valuation algorithm.

[1633] Input: Company information extracted from the database

[1634] Output: Company information to feed into the rating algorithm

[1635] The rating algorithm assesses the risk and return of a company based on past investment successes and failures.

[1636] Specific operation: The evaluation algorithm analyzes past data on "education startups" and generates evaluation results for "market growth rate, high return expectations, and technical risk."

[1637] Input: Company information provided

[1638] Output: Generated evaluation results

[1639] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[1640] Providing services to external companies

[1641] Step 1: Manage usage requests

[1642] When an external organization sends a usage request, the server receives the request and stores it in a database.

[1643] Specific operation: The external organization sends a usage request, which the server receives and stores in the database.

[1644] Input: Request to use external organization

[1645] Output: Usage request information stored in the database

[1646] Step 2: Providing the service

[1647] The server provides external organizations with a service for using the generated AI model.

[1648] Specific operation: The server provides the access information and configuration instructions necessary for use by external organizations.

[1649] Input: Usage request information retrieved from the database

[1650] Output: Information required to provide the service

[1651] Step 3: Monitoring usage and billing

[1652] The server monitors the usage status of external organizations and charges them for usage.

[1653] Specific operation: The server monitors the frequency and duration of use by external organizations, calculates the usage fee based on that information, and bills the user.

[1654] Input: Usage data from external organizations

[1655] Output: Usage fee calculation results and invoice

[1656] The above is a specific explanation of the process flow of this system, divided into processing steps.

[1657] (Application example 1)

[1658] 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."

[1659] Traditionally, it has taken a great deal of time and effort for entrepreneurs to develop business plans and for investors to make investment decisions. Furthermore, there has been no effective system for easily visualizing generated business plans and evaluation results, and regenerating them in real time to reflect feedback. Therefore, there has been a demand for technology that efficiently performs the entire process of collecting business information, evaluating it, generating plans, and providing feedback. Furthermore, there are insufficient means to display generated information in real time on smart devices, leaving the challenge of improving user convenience.

[1660] 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.

[1661] In this invention, the server includes a means for inputting business information using a data processing device, a means for generating a business plan proposal based on the input business information using a generative artificial intelligence model, a means for presenting the generated business plan proposal on a display device, a means for collecting user feedback on the presented business plan proposal, a means for reapplying the generative artificial intelligence model based on the collected feedback to generate a new business plan proposal, and a means for displaying the generated business plan proposal in real time on a smartphone, smart glasses, a head-mounted display, or a robot as a content distribution service. This streamlines the series of processes for entrepreneurs to efficiently formulate business plans and investors to make appropriate investment decisions, and makes it possible to display the generated information on a smart device in real time.

[1662] A "data processing device" is a device that inputs business or corporate information, processes that information appropriately, and stores it in a database.

[1663] A "generative artificial intelligence model" is an algorithm or program that generates business plan proposals and evaluation results based on input business and corporate information.

[1664] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[1665] "Feedback" refers to corrections and opinions provided by users regarding the proposed business plan.

[1666] "Reapplication" means running the generative artificial intelligence model again based on the collected feedback.

[1667] The "content distribution service" is a service that provides users with generated business plans and evaluation results in real time via smart devices.

[1668] A "smartphone" is a multifunctional portable information terminal that allows users to access a variety of services through applications.

[1669] "Smart glasses" are eyeglass-type devices that have the function of displaying information in the wearer's field of vision.

[1670] A "head-mounted display" is a display device worn on the user's head to provide visual information.

[1671] A "robot" is a device that operates autonomously or remotely and has the ability to collect and process information.

[1672] "Information on investment target companies" refers to detailed data about companies in which investors are considering investing.

[1673] An "evaluation algorithm" is a calculation method or program that evaluates input corporate information based on past investment successes and failures.

[1674] "Real-time" means processing and providing information immediately, without delay.

[1675] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[1676] Overall system configuration

[1677] This system mainly consists of the following elements:

[1678] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[1679] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[1680] 3. Display device (smart device): Visually displays the generated business plan proposal and evaluation results to the user.

[1681] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[1682] 5. Evaluation algorithm: Based on past investment successes and failures, an evaluation of risk and return is generated.

[1683] Hardware used

[1684] Server: High-performance data processing server (e.g., AWS EC2, Google Cloud Compute Engine)

[1685] Display devices: smartphones, smart glasses, head-mounted displays, robots

[1686] Database: MongoDB

[1687] Generative AI model: GPT-4 (or equivalent generative model)

[1688] Software used

[1689] Front-end software: Developing a smartphone app using React Native

[1690] Backend software: Implementing server and database integration using Node.js

[1691] Evaluation algorithm: Implemented using Python and Scikit-learn

[1692] Specific Examples

[1693] Business plan development for entrepreneurs

[1694] 1. Data Entry

[1695] The server allows users (entrepreneurs) to input business ideas and market analysis data through a front-end app.

[1696] The entered data is saved in a database (MongoDB) in real time via the server.

[1697] 2. Generate a business plan

[1698] The server feeds the stored business information into a generative AI model (GPT-4).

[1699] The generative AI model generates an initial business plan based on the input information.

[1700] The server stores the generated business plan in a database and sends it to the smart device.

[1701] 3. View and provide feedback on the proposed plan

[1702] The generated business plan proposal is presented to the user through a display device such as a smartphone or smart glasses.

[1703] The user (entrepreneur) reviews the proposed plan and enters feedback on corrections and improvements.

[1704] The server receives user feedback and feeds it back into the generative AI model (GPT-4).

[1705] 4. Regenerate your business plan

[1706] The generative AI model recreates a new business plan proposal that reflects the feedback.

[1707] The regenerated business plan is also saved in the database and re-presented on the smart device.

[1708] Investor evaluation of investee companies

[1709] 1. Enter your company information

[1710] The server allows users (investors) to input information about the company being evaluated through a front-end application.

[1711] The entered data is stored in a database.

[1712] 2. Evaluation support

[1713] The server feeds the stored business information into the rating algorithm.

[1714] The evaluation algorithm evaluates the input company information based on past investment successes and failures, and generates risk and return evaluation results.

[1715] The evaluation results are displayed in real time on the smart device.

[1716] Examples of concrete examples and prompts

[1717] Specific examples

[1718] For example, an entrepreneur wants to create a business plan for an "online health consultation platform." They input their business idea and market analysis, and the generative AI model (GPT-4) generates an initial business plan. The entrepreneur can then provide feedback, such as "I'd like you to strengthen the marketing strategy," and receive a regenerated business plan.

[1719] Prompt Sentence Examples

[1720] Generate a business plan for an online health consultation platform. Use the following information to create a detailed plan that includes market analysis, competitive analysis, and financial planning:

[1721] Business idea: Online health consultation platform

[1722] Market Analysis: Current Status of Online Medical Consultation Market

[1723] Competitive analysis: Competitors of existing online medical consultation services

[1724] Financial Planning: Initial Investment, Revenue Projections, Cash Flow

[1725] This approach allows users to efficiently plan their business and make investment decisions.

[1726] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1727] Step 1:

[1728] Data Entry

[1729] Users (entrepreneurs) input business information through a terminal. Specifically, information such as business ideas, market analysis, competitive analysis, and financial plans is entered. This information is sent to the server via an input form and stored in a database. The entered business information is processed and stored on the server, enabling subsequent data calculations.

[1730] Step 2:

[1731] Generate a business plan

[1732] The server retrieves business information stored in a database and supplies it to a generative AI model. The generative AI model (e.g., GPT-4) generates a business plan based on the provided business information. During this process, the input information is analyzed using a natural language processing algorithm, and a structured business plan is output. The generated business plan is stored in a database and sent to the user's device.

[1733] Step 3:

[1734] Display and confirmation

[1735] The user (entrepreneur) reviews the generated business plan on the device. Using a display device such as a smartphone, smart glasses, or head-mounted display, the generated business plan can be viewed in detail. Feedback is always provided to allow the user to evaluate the content of the business plan and identify any necessary revisions.

[1736] Step 4:

[1737] Enter your feedback

[1738] The user (entrepreneur) enters feedback on the displayed business plan. Specifically, they enter corrections and additional information into a feedback form on their device and send it to the server. The feedback data is stored in a database and supplied to the generative AI model. The feedback will be used as the basis for future data calculations.

[1739] Step 5:

[1740] Regenerate your business plan

[1741] The server then runs the generative AI model again based on the collected feedback. The generative AI model then regenerates a revised business plan that incorporates the feedback information. During this process, new data processing and calculations are performed, resulting in an optimized business plan. The revised business plan is then stored in a database and sent to the user's device.

[1742] Step 6:

[1743] Enter your company information

[1744] The user (investor) inputs information about the company to be evaluated through a terminal. Detailed data such as the company's name, industry, business situation, and financial information is entered into an input form and sent to the server. This information is stored in a database and fed into the evaluation algorithm.

[1745] Step 7:

[1746] Evaluation Support

[1747] The server supplies the company information stored in the database to the evaluation algorithm. The evaluation algorithm analyzes the input company information based on past successful and unsuccessful investment cases and generates a risk and return evaluation result. During this process, the data is analyzed using a machine learning model and the evaluation result is output. The generated evaluation result is stored in the database and sent to the user's device.

[1748] Step 8:

[1749] Displaying the evaluation results

[1750] The user (investor) checks the evaluation results displayed on the device. The generated evaluation results can be specifically checked using a smartphone, smart glasses, or a head-mounted display. Based on the evaluation results, the user makes an investment decision.

[1751] Step 9:

[1752] Management of external companies

[1753] The server manages usage requests from external companies. When an external company requests to use the system, the request is received and managed by the server. Based on the usage request, system usage rights are granted and charges are incurred.

[1754] Step 10:

[1755] Providing services to external companies

[1756] The server provides external companies with a service for using the generative AI model and evaluation algorithm. External companies can generate business plans and evaluation results through the server, which can then be viewed on a smart device. Usage status is monitored, and usage fees are charged as necessary.

[1757] This will enable entrepreneurs and investors to efficiently develop and evaluate business plans, and external companies will also be able to enjoy the same services.

[1758] 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.

[1759] This invention relates to a support system for entrepreneurs to efficiently formulate business plans and investors to make appropriate investment decisions. It describes a specific method for generating and evaluating business plans using a generative AI model. Furthermore, this invention combines an emotion engine to provide flexible business plans and evaluation results based on the user's emotions.

[1760] overview

[1761] This system combines a data processing device, generative AI model, display device, evaluation algorithm, and emotion engine to automate and efficiently support a series of processes, from inputting business information, generating business plans, collecting and regenerating feedback, evaluating investee companies, and making adjustments based on emotion information.

[1762] Overall system configuration

[1763] 1. Data processing device (server): Receives input business and corporate information and supplies the necessary data to the generated AI model, evaluation algorithm, and emotion engine.

[1764] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it by reflecting feedback and emotional information.

[1765] 3. Emotion engine (in the server): Recognizes the user's emotions, collects and analyzes the emotional information.

[1766] 4. Display device (terminal): Visually displays the generated business plan proposal and evaluation results to the user.

[1767] 5. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[1768] Program processing flow

[1769] Business plan development for entrepreneurs

[1770] Data entry and initial business plan generation

[1771] 1. Data Entry

[1772] Users (entrepreneurs) log in to the terminal and enter business information such as business ideas, market analysis, competitive analysis, and financial plans.

[1773] The terminal stores the entered business information locally and prepares it for transmission to the server.

[1774] 2. Receiving and storing business information

[1775] The server receives the business information sent from the terminal.

[1776] The server stores the received business information in a database.

[1777] 3. Generate a business plan

[1778] The server retrieves stored business information from the database and feeds it into the generative AI model.

[1779] The generative AI model generates an initial business plan proposal based on the business information provided.

[1780] The server stores the generated business plan in a database and sends it to the user's terminal.

[1781] 4. Display of business plan proposal

[1782] The terminal displays the received business plan to the user.

[1783] Feedback and Regeneration

[1784] 5. Enter your feedback

[1785] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements into a feedback form.

[1786] The terminal stores the feedback locally and prepares to send it to the server.

[1787] 6. Receiving and Processing Feedback

[1788] The server receives the feedback sent from the terminal.

[1789] The server feeds the feedback back into the generative AI model.

[1790] 7. Adding Emotional Information

[1791] The emotion engine recognizes the user's emotions and collects and analyzes the emotion information.

[1792] The server provides the analyzed emotion information to the generative AI model.

[1793] 8. Generate a regenerated business plan proposal

[1794] The generative AI model generates new business proposals based on feedback and sentiment information.

[1795] The server stores the new business plan in a database and sends it to the user's device.

[1796] 9. Display of new business plan proposal

[1797] The terminal displays the received new business plan to the user.

[1798] Investor evaluation of investee companies

[1799] 1. Enter your company information

[1800] Users (investors) log in to the terminal and enter information about the company they are considering investing in.

[1801] The terminal locally stores the input company information and prepares it for transmission to the server.

[1802] 2. Receiving and storing company information

[1803] The server receives the company information sent from the terminal.

[1804] The server stores the received company information in a database.

[1805] 3. Evaluation of company information

[1806] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[1807] The evaluation algorithm evaluates company information based on past investment successes and failures.

[1808] The emotion engine recognizes the user's emotions and adds emotion information to the evaluation results.

[1809] The server generates the evaluation results and stores them in a database.

[1810] 4. Presentation of evaluation results

[1811] The server transmits the evaluation results to the user's terminal.

[1812] The terminal displays the received evaluation results to the user.

[1813] Specific examples

[1814] Examples of business plan development for entrepreneurs

[1815] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, and cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be made more specific. Furthermore, an emotion engine collects and analyzes emotional information to increase the user's interest. The server then re-runs the generative AI model based on the feedback and emotional information, generating a revised business plan and providing it to the user.

[1816] Specific examples of investor evaluations of investee companies

[1817] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." Furthermore, an emotion engine adds emotional information that reflects the user's concerns and expectations to the evaluation result. The user then makes an investment decision based on the presented evaluation results.

[1818] Providing services to external companies

[1819] This system can also be used by external companies. When an external company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments. The emotion engine recognizes the emotions of external company personnel and provides optimal feedback. The server monitors the usage status of external companies and provides necessary support.

[1820] The above is a specific embodiment for carrying out the present invention. This system improves the efficiency of business planning and investment decisions, and can provide useful value to a wide range of users.

[1821] The processing flow will be explained below.

[1822] Business plan development for entrepreneurs

[1823] Data entry and initial business plan generation

[1824] Step 1:

[1825] A user (entrepreneur) logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[1826] Step 2:

[1827] The terminal stores the entered business information locally and prepares it for transmission to the server.

[1828] Step 3:

[1829] The server receives the business information sent from the terminal.

[1830] Step 4:

[1831] The server stores the received business information in a database.

[1832] Step 5:

[1833] The server retrieves stored business information from the database and feeds it into the generative AI model.

[1834] Step 6:

[1835] The generative AI model generates an initial business plan proposal based on the business information provided.

[1836] Step 7:

[1837] The server stores the generated business plan in a database.

[1838] Step 8:

[1839] The server sends the initial business plan to the user's terminal.

[1840] Step 9:

[1841] The terminal displays the received business plan to the user.

[1842] Feedback and Regeneration

[1843] Step 10:

[1844] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[1845] Step 11:

[1846] The terminal stores the feedback locally and prepares to send it to the server.

[1847] Step 12:

[1848] The server receives the feedback sent from the terminal.

[1849] Step 13:

[1850] The server re-feeds the received feedback to the generative AI model.

[1851] Step 14:

[1852] The emotion engine analyzes the user's emotions from their facial expressions and language, and sends that data to the server.

[1853] Step 15:

[1854] The server reflects the collected emotional data in the generative AI model.

[1855] Step 16:

[1856] The generative AI model generates a new business plan proposal based on the feedback and emotional information.

[1857] Step 17:

[1858] The server stores the new business plan in a database.

[1859] Step 18:

[1860] The server sends the new business plan to the user's terminal.

[1861] Step 19:

[1862] The terminal displays the received new business plan to the user.

[1863] Investor evaluation of investee companies

[1864] Company information input and evaluation support

[1865] Step 1:

[1866] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[1867] Step 2:

[1868] The terminal locally stores the input company information and prepares it for transmission to the server.

[1869] Step 3:

[1870] The server receives the company information sent from the terminal.

[1871] Step 4:

[1872] The server stores the received company information in a database.

[1873] Step 5:

[1874] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[1875] Step 6:

[1876] The evaluation algorithm evaluates company information based on past investment successes and failures.

[1877] Step 7:

[1878] The emotion engine analyzes the user's emotions from their facial expressions and language, and sends that data to the server.

[1879] Step 8:

[1880] The server reflects the emotion data in the evaluation result to generate a comprehensive evaluation result.

[1881] Step 9:

[1882] The server stores the generated comprehensive evaluation results in a database.

[1883] Step 10:

[1884] The server transmits the evaluation results to the user's terminal.

[1885] Step 11:

[1886] The terminal displays the received evaluation results to the user.

[1887] Providing services to external companies

[1888] Usage requests and service provision

[1889] Step 1:

[1890] External companies send requests to use the system from their terminals.

[1891] Step 2:

[1892] The server receives a usage request from an external company.

[1893] Step 3:

[1894] Based on the usage request, the server creates an account for the external company and calculates the usage fee.

[1895] Step 4:

[1896] An external company pays the usage fee.

[1897] Step 5:

[1898] The server grants external companies permission to use the generated AI model.

[1899] Step 6:

[1900] External companies can use the generated AI model on their devices to develop their own business plans and evaluate investments.

[1901] Step 7:

[1902] The emotion engine analyzes the emotions of external company personnel from their facial expressions and language, and sends that data to a server.

[1903] Step 8:

[1904] The server provides appropriate support and feedback based on the analyzed emotional data.

[1905] Step 9:

[1906] The server monitors the usage of external companies and provides necessary support.

[1907] The above is a concrete explanation of the program processing steps in a system that combines emotion engines.

[1908] Example 2

[1909] 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."

[1910] In today's business environment, there is a need for support systems that help entrepreneurs efficiently formulate business plans and investors make appropriate investment decisions. However, conventional systems have not adequately considered users' emotional information during the process of inputting, analyzing, and evaluating business information. This has made it difficult to generate flexible business plans and support investment decisions that reflect users' intentions and emotions.

[1911] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for inputting business information using the data processing device, a means for generating a business plan proposal based on the input business information using a generative artificial intelligence model, and a means for collecting and analyzing user emotion information using an emotion recognition engine. This makes it possible to generate and regenerate a business plan that reflects the user's emotion information.

[1912] - "Data Processing Equipment" means a combination of hardware and software for collecting, analyzing, storing, and transmitting business information.

[1913] "Business information" refers to data such as market analysis, competitive analysis, and financial plans that entrepreneurs and investors need to make business plans and investment decisions.

[1914] A "generative artificial intelligence model" is a machine learning algorithm and its execution environment for generating business plan proposals and evaluation results based on input business information.

[1915] "Draft Business Plan" means a draft business plan generated by a generative AI model, including, but not limited to, a market analysis, competitive analysis, and financial forecasts.

[1916] A "display device" is a device such as a monitor, screen, or browser that visually presents the generated business plan proposal and evaluation results to the user.

[1917] "User feedback" refers to opinions and comments such as corrections and improvements provided by users regarding the proposed business plan and evaluation results.

[1918] An "emotion recognition engine" is a software or hardware system for detecting and analyzing a user's emotions.

[1919] "Emotion information" is data that indicates the user's emotional state as detected and analyzed by the emotion engine.

[1920] An "evaluation algorithm" is a calculation method and its execution environment for analyzing and evaluating corporate information based on past investment successes and failures.

[1921] "External organizations" refer to companies and organizations that use the system, and are third parties that use the system for business planning and investment evaluation.

[1922] The system is designed to help entrepreneurs efficiently develop business plans and investors make appropriate investment decisions. The system mainly includes a data processing device, a generative artificial intelligence model, an emotion recognition engine, a display device, and an evaluation algorithm.

[1923] Hardware and software used

[1924] 1. Data processing device (server)

[1925] The server used is a central location that receives business and corporate information and supplies the necessary data to the generative AI model, evaluation algorithm, and emotion engine. For example, cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform can be used.

[1926] 2. Generative AI Models

[1927] Generative artificial intelligence models that generate business plans based on business information, such as OpenAI GPT-3 and other natural language processing (NLP) models, can analyze information and generate effective business plans.

[1928] 3. Emotion Recognition Engine

[1929] Engines used to recognize user emotions and analyze the emotional information include, for example, IBM Watson's Emotion Analysis API and other emotion recognition software.

[1930] 4. Display Device (Terminal)

[1931] A device that visually presents the generated business plan and evaluation results to the user, and is generally a PC, tablet, smartphone, or other device. A web browser or dedicated application is used for display.

[1932] 5. Evaluation Algorithm

[1933] It is an algorithm for evaluating company information based on past investment successes and failures, and also takes into account user sentiment to produce evaluation results. It is implemented using statistical modeling and machine learning algorithms.

[1934] Specific examples

[1935] Examples of business plan development for entrepreneurs

[1936] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, and cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be specified. Furthermore, an emotion engine collects and analyzes emotional information to increase the user's interest. The server then re-runs the generative AI model based on the feedback and emotional information, generating a revised business plan and providing it to the user.

[1937] Specific examples of investor evaluations of investee companies

[1938] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." Furthermore, an emotion engine adds emotional information that reflects the user's concerns and expectations to the evaluation result. The user then makes an investment decision based on the presented evaluation results.

[1939] Prompt Sentence Examples

[1940] "I want to build an online learning platform, but I need a business plan based on market and competitive analysis."

[1941] "I'd like to evaluate a startup in the education sector. Please generate a valuation result based on past investments and sentiment information."

[1942] According to the above-described aspects, the present invention can realize a high level of automation that takes into account the emotional information of the user in formulating business plans and supporting investment decisions.

[1943] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1944] Business plan development for entrepreneurs

[1945] Step 1: Data entry

[1946] A user logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[1947] Specific operation: The user enters business information into the input form on the terminal and clicks the "Submit" button.

[1948] Input: Business information such as business idea, market analysis, competitive analysis, financial plan, etc.

[1949] Output: Business information is retained on the device.

[1950] Step 2: Receiving and storing business information

[1951] The terminal stores the entered business information locally and prepares it for transmission to the server.

[1952] The server receives the business information sent from the terminal and stores it in a database.

[1953] Specific operation: The terminal sends business information to the server, and the server writes the information into the database.

[1954] Input: Business information sent from the device.

[1955] Output: Business information stored in a database.

[1956] Step 3: Generate a business plan

[1957] The server retrieves stored business information from the database and feeds it into the generative AI model.

[1958] The generative AI model generates an initial business plan proposal based on the business information provided.

[1959] How it works: The server calls the generative AI model and provides business information, after which the generative AI model generates a business plan.

[1960] Input: Business information retrieved from the database.

[1961] Output: Initial business plan proposal.

[1962] Step 4: Save and submit your business plan

[1963] The server stores the generated business plan in a database and transmits it to the user's terminal.

[1964] Specific operation: The server stores the generated business plan in a database and then transmits it to the user terminal.

[1965] Input: Generated business plan proposal.

[1966] Output: Business plan proposal stored in the database and business plan proposal sent to the user's terminal.

[1967] Step 5: View the business plan

[1968] The terminal displays the received business plan to the user.

[1969] Specific operation: The terminal displays the received business plan on the screen.

[1970] Input: Business plan proposal sent from the server.

[1971] Output: A proposed business plan displayed to the user.

[1972] Step 6: Provide feedback

[1973] The user reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[1974] The terminal stores the feedback locally and prepares to send it to the server.

[1975] Specific operation: The user enters a comment into the feedback form on the terminal and clicks the "Submit" button.

[1976] Input: User feedback.

[1977] Output: Feedback stored on the device.

[1978] Step 7: Receiving and processing feedback

[1979] The server receives the feedback sent from the terminal.

[1980] The server re-feeds the received feedback to the generative AI model.

[1981] Specific operation: The server stores the feedback in a database and then provides it to the generative AI model.

[1982] Input: Feedback sent from the device.

[1983] Output: Feedback fed to the generative AI model.

[1984] Step 8: Collect and analyze emotional information

[1985] The emotion engine recognizes the user's emotions and collects and analyzes the emotion information.

[1986] Specific operation: The emotion engine analyzes data such as the user's input speed and eye tracking to generate emotion information.

[1987] Input: User emotional data (typing speed, eye tracking, etc.).

[1988] Output: Parsed emotion information.

[1989] Step 9: Adding Emotional Information

[1990] The server provides the analyzed emotion information to the generative AI model.

[1991] Specific operation: The server provides the analyzed emotion information to the generative AI model.

[1992] Input: Parsed emotion information.

[1993] Output: Emotion information fed into the generative AI model.

[1994] Step 10: Generate a regenerated business plan

[1995] The generative AI model generates new business proposals based on feedback and sentiment information.

[1996] Specific operation: The generative AI model is run again to generate a new business plan proposal.

[1997] Input: Feedback and emotional information.

[1998] Output: A new, regenerated business plan.

[1999] Step 11: Save and submit your new business plan

[2000] The server stores the new business plan in a database and sends it to the user's terminal.

[2001] Specific operation: The server stores the regenerated business plan in the database and sends it to the user terminal.

[2002] Input: A newly generated business plan.

[2003] Output: New business plan proposal stored in the database and business plan proposal sent to the user's terminal.

[2004] Step 12: Displaying the new business plan

[2005] The terminal displays the received new business plan to the user.

[2006] Specific operation: The terminal displays the received new business plan on the screen.

[2007] Input: A new business plan submitted by the server.

[2008] Output: The new business plan proposal displayed to the user.

[2009] Investor evaluation of investee companies

[2010] Step 1: Enter your company information

[2011] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[2012] Specific operation: The user enters company information into the input form on the terminal and clicks the "Submit" button.

[2013] Enter: Company Information.

[2014] Output: Company information stored on the device.

[2015] Step 2: Receiving and storing company information

[2016] The terminal locally stores the input company information and prepares it for transmission to the server.

[2017] The server receives the company information sent from the terminal and stores it in a database.

[2018] Specific operation: The terminal sends the company information to the server, and the server writes the information into the database.

[2019] Input: Company information sent from the device.

[2020] Output: Company information stored in a database.

[2021] Step 3: Evaluate company information

[2022] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[2023] The evaluation algorithm evaluates company information using data on past investment successes and failures to generate evaluation results.

[2024] The emotion engine recognizes the user's emotion and adds the emotion information to the evaluation result.

[2025] How it works: The evaluation algorithm analyzes company information and generates evaluation results. The emotion engine adds user emotional information.

[2026] Input: Company information and user sentiment information obtained from the database.

[2027] Output: Evaluation results.

[2028] Step 4: Presenting the evaluation results

[2029] The server transmits the evaluation results to the user's terminal.

[2030] The terminal displays the received evaluation results to the user.

[2031] Specific operation: The server sends the evaluation results to the user's terminal, and the terminal displays the results on the screen.

[2032] Input: The evaluation result sent from the server.

[2033] Output: The evaluation results displayed to the user.

[2034] (Application example 2)

[2035] 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."

[2036] When planning autonomous vehicle operations, conventional methods have difficulty selecting optimal routes and making flexible adjustments based on user emotions, which leads to problems such as insufficient improvement of user experience and efficient operation.

[2037] 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.

[2038] In this invention, the server includes means for inputting operation information of the autonomous vehicle using a data processing device, means for generating a route plan based on the input operation information using a generative AI model, means for analyzing user emotion information using an emotion engine and reflecting the analysis in the route plan, means for collecting user feedback on the presented route plan, and means for reapplying the generative AI model based on the collected feedback and emotion information to generate a new route plan. This enables optimal route proposals according to the user's emotions and flexible replanning based on the feedback.

[2039] A "data processing device" is a device that has the ability to receive, analyze, and store input information.

[2040] A "generative artificial intelligence model" is a machine learning model that analyzes patterns based on input data and generates quantitative or qualitative predictions and suggestions.

[2041] An "emotion engine" is an algorithm and device for recognizing a user's emotions and analyzing that emotional information.

[2042] A "display device" is a device that visually presents generated information and plans to a user.

[2043] "Feedback" means any opinion or information provided by a user to the system for correction or improvement.

[2044] A "route plan" is a travel plan that includes the optimal route from a specified starting point to a destination.

[2045] "Operation information" refers to specific information about operations such as the departure point, destination, stopovers, and desired arrival time.

[2046] A "replan" is a new plan that is generated by modifying an existing plan based on user feedback and emotional information.

[2047] Overall system configuration

[2048] The present invention is a system for formulating operation plans and optimizing routes for autonomous vehicles, which combines a data processing device, a generative AI model, an emotion engine, and a display device. A user (an operator or passenger of an autonomous vehicle) inputs operation information using an application and obtains an optimal route plan. A specific implementation of the present invention is described below.

[2049] Data Processing Unit

[2050] The data processing device receives operation information (starting point, destination, intermediate points, desired arrival time, etc.) entered from a device such as a smartphone and sends it to the server. It also acquires route plans and evaluation results generated by the generative AI model and emotion engine, and presents them to the user again.

[2051] Generative AI Models

[2052] The generative AI model is built using programming languages ​​such as Python. It generates optimal route plans based on operational information, taking into account factors such as traffic conditions, fuel efficiency, and safety. It also re-plans based on user feedback and information from an emotion engine.

[2053] Emotion Engine

[2054] The emotion engine implements algorithms to analyze emotions from user input and behavior, allowing it to provide better route planning that takes into account the user's stress level and sense of security.

[2055] display device

[2056] The display device is a mobile device such as a smartphone or tablet that visually displays the generated route plan or replan to the user, allowing the user to easily review the information and provide any necessary feedback.

[2057] Specific examples

[2058] Consider a case where a user inputs travel information such as "From Tokyo Station to Kyoto Station, stopping at Nagoya Station on the way, and arriving by 13:00." The data processing device sends that information to the server, and the generative AI model generates an optimal route plan. For example, a plan that takes into account highway congestion and fuel efficiency is presented. When that plan is displayed on the display device, the user provides feedback such as "I would like a route that avoids traffic jams." Along with this feedback, the emotion engine analyzes the user's stress level and reflects it in the generative AI model. The regenerated route plan is presented to the user again, allowing the user to begin driving with peace of mind.

[2059] Prompt Sentence Examples

[2060] The departure point is Tokyo Station, the destination is Kyoto Station, and the stopover is Nagoya Station. The desired arrival time is 13:00. Please suggest the best route.

[2061] As described above, the present invention is a system that proposes optimal routes that take user emotions into consideration and enables flexible re-planning when formulating operation plans for autonomous vehicles.

[2062] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2063] Step 1:

[2064] Users use a smartphone application to input operation information such as departure point, destination, intermediate stops, and desired arrival time.

[2065] Input: Departure point, destination, stopover, desired arrival time

[2066] Output: Traffic information data

[2067] Specific operation: The user inputs operation information into the application interface and presses the "Send" button. The application converts this information into an internal data format, stores it locally, and prepares it for transmission to the server.

[2068] Step 2:

[2069] The terminal transmits the operation information input by the user to the server.

[2070] Input: Traffic information data

[2071] Output: Traffic information data sent to the server

[2072] Specific operation: The device sends the operation information data it holds internally to the server using an HTTPS request, etc. The server receives the data and stores it in a database.

[2073] Step 3:

[2074] The server acquires the received operational information and supplies it to the generative AI model.

[2075] Input: Traffic information data stored in the database

[2076] Output: Traffic information data fed into the generative AI model

[2077] Specific operation: The server reads operation information data from the database and provides the data to the generative AI model via API calls, etc. Based on this, the generative AI model begins the process of generating an initial route plan.

[2078] Step 4:

[2079] The generative AI model generates an optimal route plan based on the provided operation information and sends it back to the server.

[2080] Input: Traffic information data

[2081] Output: Initial route planning data

[2082] How it works: The generative AI model processes operational information and calculates the optimal route, taking into account parameters such as traffic conditions, fuel efficiency, and safety. Once the calculation is complete, it sends the resulting route planning data back to the server.

[2083] Step 5:

[2084] The server stores the generated route planning data in a database and transmits it to the user's terminal.

[2085] Input: Initial route planning data

[2086] Output: Route planning data sent to the device

[2087] Specific operation: The server saves the generated route plan in the database and sends the data to the terminal, which receives it and proceeds to the next step.

[2088] Step 6:

[2089] The terminal displays the received route plan to the user.

[2090] Input: Route planning data

[2091] Output: Route plan displayed to the user

[2092] Specific operation: The device analyzes the received data and displays the route plan in an optimized format on the display device. The user confirms the proposed route.

[2093] Step 7:

[2094] User feedback on route planning.

[2095] Input: Route planning, user feedback

[2096] Output: Feedback data

[2097] Specific operation: The user checks the displayed route plan and enters any complaints or corrections they would like to make in the feedback field. The device stores this locally and prepares to send it to the server.

[2098] Step 8:

[2099] The server receives the feedback sent from the terminal and collects the feedback data.

[2100] Input: Feedback data

[2101] Output: Feedback data stored in a database

[2102] Specific operation: The server receives the feedback data sent from the device and stores it in a database, then prepares it to be re-fed to the generative AI model.

[2103] Step 9:

[2104] The emotion engine analyzes the user's emotional information and supplies that emotional information to the generative AI model.

[2105] Input: Feedback data, user sentiment information

[2106] Output: Parsed emotion information

[2107] How it works: The emotion engine analyzes emotions from feedback and user usage and feeds the results into a generative AI model, which reflects the user's emotional state in real time.

[2108] Step 10:

[2109] The generative AI model re-plans based on collected feedback and sentiment information, generating a new route plan.

[2110] Input: Feedback data, emotional information

[2111] Output: New route planning data

[2112] How it works: The generative AI model re-runs the algorithm based on the feedback and emotion information to generate a new route plan, which is then sent back to the server.

[2113] Step 11:

[2114] The server stores the newly generated route planning data in a database and transmits it again to the user's terminal.

[2115] Input: New route planning data

[2116] Output: New route planning data sent to the device

[2117] Specific operation: The server saves the new route plan in the database and sends it to the device, which receives it and proceeds to the next step.

[2118] Step 12:

[2119] The device displays the new route plan to the user.

[2120] Input: New route planning data

[2121] Output: Route plan redisplayed to the user

[2122] Specific behavior: The device displays the received new route plan to the user and completes the session. The user is satisfied with the revised route plan and begins driving.

[2123] The above are the processing steps of the system for implementing the present invention.

[2124] 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.

[2125] 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.

[2126] 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.

[2127] [Fourth embodiment]

[2128] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[2129] 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.

[2130] 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).

[2131] 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.

[2132] 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.

[2133] 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).

[2134] 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. 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.

[2135] 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.

[2136] 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.

[2137] 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.

[2138] 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.

[2139] 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.

[2140] 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."

[2141] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[2142] overview

[2143] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[2144] Overall system configuration

[2145] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[2146] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[2147] 3. Display device (terminal): Visually displays the generated business plan proposal and evaluation results to the user.

[2148] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[2149] Program processing flow

[2150] Business plan development for entrepreneurs

[2151] 1. Data Entry

[2152] Users (entrepreneurs) log in to the terminal and enter business information such as business ideas, market analysis, competitive analysis, and financial plans.

[2153] The server receives the business information entered by the user and stores it in a database.

[2154] 2. Generate a business plan

[2155] The server feeds the stored business information to the generative AI model.

[2156] The generative AI model generates an initial business plan proposal based on the input information.

[2157] The server stores the generated business plan in a database and sends it to the user's terminal.

[2158] 3. Feedback and Regeneration

[2159] The user (entrepreneur) reviews the proposed business plan and, if necessary, enters corrections or improvements into a feedback form.

[2160] The server receives user feedback and feeds it back into the generative AI model.

[2161] The generative AI model generates a new business plan that reflects the feedback, and the server stores this in a database and sends it to the user's device.

[2162] Investor evaluation of investee companies

[2163] 1. Enter your company information

[2164] Users (investors) log in to the terminal and enter information about the company they are considering investing in.

[2165] The server receives the company information entered by the user and stores it in a database.

[2166] 2. Evaluation support

[2167] The server provides the stored business information to the rating algorithm.

[2168] The evaluation algorithm evaluates based on past successful and unsuccessful investment cases and generates risk and return evaluation results.

[2169] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[2170] Specific examples

[2171] Examples of business plan development for entrepreneurs

[2172] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives that information and supplies it to the generative AI model. The generative AI model generates a business plan that includes elements such as market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, requesting that the advertising strategy be specified. The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[2173] Specific examples of investor evaluations of investee companies

[2174] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives that information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[2175] Providing services to external companies

[2176] This system can also be used by external companies. When an external company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments. The server monitors the usage status of external companies and provides necessary support.

[2177] The above is a specific embodiment for carrying out the present invention. This system improves the efficiency of business planning and investment decisions, and can provide useful value to a wide range of users.

[2178] The processing flow will be explained below.

[2179] Business plan development for entrepreneurs

[2180] Data entry and initial business plan generation

[2181] Step 1:

[2182] A user (entrepreneur) logs in to a terminal and inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[2183] Step 2:

[2184] The terminal stores the entered business information locally and prepares it for transmission to the server.

[2185] Step 3:

[2186] The server receives the business information sent from the terminal.

[2187] Step 4:

[2188] The server stores the received business information in a database.

[2189] Step 5:

[2190] The server retrieves stored business information from the database and feeds it into the generative AI model.

[2191] Step 6:

[2192] The generative AI model generates an initial business plan proposal based on the business information provided.

[2193] Step 7:

[2194] The server stores the generated initial business plan in a database.

[2195] Step 8:

[2196] The server sends the initial business plan to the user's terminal.

[2197] Step 9:

[2198] The terminal displays the received business plan to the user.

[2199] Feedback and Regeneration

[2200] Step 10:

[2201] The user (entrepreneur) reviews the proposed business plan and enters any corrections or improvements in the feedback form.

[2202] Step 11:

[2203] The terminal stores the feedback locally and prepares to send it to the server.

[2204] Step 12:

[2205] The server receives the feedback sent from the terminal.

[2206] Step 13:

[2207] The server re-feeds the received feedback to the generative AI model.

[2208] Step 14:

[2209] The generative AI model generates a new business plan proposal that reflects the feedback.

[2210] Step 15:

[2211] The server stores the new business plan in a database.

[2212] Step 16:

[2213] The server transmits the regenerated business plan to the user's terminal.

[2214] Step 17:

[2215] The terminal displays the received new business plan to the user.

[2216] Investor evaluation of investee companies

[2217] Company information input and evaluation support

[2218] Step 1:

[2219] The user (investor) logs in to the terminal and enters information about the company in which they are considering investing.

[2220] Step 2:

[2221] The terminal locally stores the input company information and prepares it for transmission to the server.

[2222] Step 3:

[2223] The server receives the company information sent from the terminal.

[2224] Step 4:

[2225] The server stores the received company information in a database.

[2226] Step 5:

[2227] The server retrieves the stored business information from the database and feeds it to the rating algorithm.

[2228] Step 6:

[2229] The evaluation algorithm evaluates company information based on past investment successes and failures.

[2230] Step 7:

[2231] The server generates the evaluation results and stores them in a database.

[2232] Step 8:

[2233] The server transmits the evaluation results to the user's terminal.

[2234] Step 9:

[2235] The terminal displays the received evaluation results to the user.

[2236] Providing services to external companies

[2237] Usage requests and service provision

[2238] Step 1:

[2239] External companies send requests to use the system from their terminals.

[2240] Step 2:

[2241] The server receives a usage request from an external company.

[2242] Step 3:

[2243] Based on the usage request, the server creates an account for the external company and calculates the usage fee.

[2244] Step 4:

[2245] An external company pays the usage fee.

[2246] Step 5:

[2247] The server grants external companies permission to use the generated AI model.

[2248] Step 6:

[2249] External companies can use the generated AI model on their devices to develop their own business plans and evaluate investments.

[2250] Step 7:

[2251] The server monitors the usage of external companies and provides necessary support.

[2252] The above is a concrete explanation of the processing of the system program.

[2253] Example 1

[2254] 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."

[2255] Traditional business planning and investment evaluation methods required a lot of time and effort to manually collect and analyze information, making them inefficient. The process of collecting feedback and then regenerating the plan based on that feedback was also time-consuming, making it difficult to make quick decisions. Furthermore, there was no system in place for managing and billing external companies when using these tools, making them ineffective.

[2256] 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.

[2257] In this invention, the server includes means for inputting business information using a data processing device, means for generating a business plan proposal based on the input business information using a generative AI model, means for presenting the generated business plan proposal on a display device, means for collecting user feedback on the presented business plan proposal, means for reapplying the generative AI model based on the collected feedback to generate a new business plan proposal, and means for presenting the presented business plan proposal and evaluation results again on the display device, thereby enabling users to quickly and efficiently formulate business plans and make investment decisions.

[2258] A "data processing device" is an electronic device used to input and store business information and feed it into generative AI models and evaluation algorithms.

[2259] "Business information" refers to data necessary for formulating a business plan, such as business ideas, market analysis, competitive analysis, and financial plans.

[2260] A "generative AI model" is an artificial intelligence system that automatically generates a business plan proposal based on input business information and regenerates it based on user feedback.

[2261] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[2262] "Feedback" refers to opinions and comments provided by users regarding corrections and improvements to the generated business plan proposal and evaluation results.

[2263] An "evaluation algorithm" is a calculation method and process for analyzing past investment successes and failures to assess the risk and return of target companies.

[2264] "External organization" refers to an external company or institution that uses this system, including users who are the subject of system usage requests and billing management.

[2265] "Usage Request" refers to a service request made by an external organization to use this system.

[2266] "Usage Fee" means the amount payable by an External Organization for use of this System.

[2267] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[2268] System configuration

[2269] This system combines a data processing device, a generative AI model, a display device, and an evaluation algorithm to automate and efficiently support a series of processes, from inputting business information to generating a business plan, collecting and regenerating feedback, and evaluating investee companies.

[2270] 1. Data processing device (server):

[2271] The server is a device that receives business and corporate information entered by users from their terminals and supplies the necessary data to the generative AI model and evaluation algorithm.

[2272] The data is stored in a database and used for processing generative AI models and analysis of evaluation algorithms.

[2273] 2. Generative AI model (on the server):

[2274] The generative AI model located on the server generates a business plan proposal based on the business information entered by the user.

[2275] To achieve complete automation, the system also has the ability to reflect user feedback and regenerate new business plan proposals.

[2276] 3. Display Device (Terminal):

[2277] The terminal is a device that visually displays the generated business plan proposal and evaluation results to the user.

[2278] Users who log in to the terminal can enter business information, check the generated plan and evaluation results, and provide feedback.

[2279] 4. Users (entrepreneurs and investors):

[2280] A user is a person who accesses the system and enters the necessary business or company information.

[2281] Check the plans and evaluation results generated based on the information entered and provide feedback as needed.

[2282] Specific examples

[2283] Examples of business plan development for entrepreneurs

[2284] When a user (entrepreneur) inputs a business idea such as "building an online learning platform," the server receives the information and supplies it to the generative AI model. The generative AI model generates a business plan that includes market analysis (e.g., the current state of the online education market and potential customer segments), competitive analysis (strategies and market shares of major competitors), and financial planning (initial investment, revenue forecasts, cash flow). The user reviews the proposed plan and provides feedback, such as "I would like the advertising strategy to be more specific." The server then re-runs the generative AI model based on the feedback, generating a revised business plan and providing it to the user.

[2285] Example prompt sentence:

[2286] "Business idea: Online learning platform. Market: Online education market. Competitive analysis: Strategies and market share of key competitors. Financial planning: Initial investment and revenue projections."

[2287] Specific examples of investor evaluations of investee companies

[2288] When a user (investor) enters information to evaluate a "startup company in the education field," the server receives the information and supplies it to the evaluation algorithm. The evaluation algorithm analyzes past investment cases in similar companies and generates an evaluation result that states, "This company has a high market growth rate, so a high return is expected, but there are technical risks." The user makes an investment decision based on the presented evaluation results.

[2289] Example prompt sentence:

[2290] "Company Information: Educational startups. Evaluating the risk and return of companies based on past investment cases."

[2291] Providing services to external companies

[2292] This system can also be used by external companies. When a company sends a usage request, the server receives the request and calculates and charges the usage fee. External companies can use the generative AI model to formulate their own business plans and evaluate investments, and the server monitors the external companies' usage and provides any necessary support.

[2293] The flow of the identification process in the first embodiment will be described with reference to FIG.

[2294] Business plan development for entrepreneurs

[2295] Step 1: Data entry

[2296] After logging in to the dedicated terminal, the user inputs business information such as a business idea, market analysis, competitive analysis, and financial plan.

[2297] Specific operations: The user enters specific business information such as "Business idea: online learning platform" and "Market analysis: current state of the online education market and potential customer demographics" into the form input screen.

[2298] Input: User-entered business information

[2299] Output: Business information sent to the server

[2300] The server receives the input information in real time and stores it in a database.

[2301] Step 2: Generate a business plan

[2302] The server transfers the business information stored in the database to the generative AI model.

[2303] Specific operation: The server extracts information such as "market analysis," "competitive analysis," and "financial planning" from the database and supplies it to the generative AI model.

[2304] Input: Business information extracted from a database

[2305] Output: Business information to feed the generative AI model

[2306] The generative AI model generates an initial business plan proposal based on the information provided.

[2307] How it works: The generative AI model creates prompt statements and analyzes input data, such as "Business idea: online learning platform; Market analysis: current state and potential customer base of the online education market; Competitive analysis: strategies of major competitors," to generate a business plan.

[2308] Input: Business information fed into the generative AI model

[2309] Output: Generated initial business plan

[2310] The server stores the generated business plan again in the database and transmits it to the user's terminal.

[2311] Step 3: Feedback and Regeneration

[2312] The user checks the proposed business plan and enters any shortcomings or corrections in the feedback form.

[2313] Specific Action: After reviewing the plan, the user provides feedback such as "I would like you to specify the advertising strategy."

[2314] Input: User-provided feedback

[2315] Output: Feedback information sent to the server

[2316] The server receives the user's feedback and forwards it back to the generative AI model.

[2317] Specific action: The server sends it to the generative AI model and adds the prompt "Specify your advertising strategy" to prompt regeneration.

[2318] Input: Feedback information

[2319] Output: Feedback information for transfer to the generative AI model

[2320] The generative AI model reflects the feedback and generates a new business plan proposal.

[2321] Specific actions: The generative AI model generates new plans and adds specific advertising strategies.

[2322] Input: Feedback information received from users

[2323] Output: Revised new business plan

[2324] The server stores the revised business plan in a database and transmits it to the user's terminal.

[2325] Investor evaluation of investee companies

[2326] Step 1: Enter your company information

[2327] The user logs in to a dedicated terminal and enters information about the target company.

[2328] Specific operation: The user enters information such as "Company information: Startup in the education field" and "Company financial data."

[2329] Input: Company information entered by the user

[2330] Output: Company information sent to the server

[2331] The server receives the entered company information in real time and stores it in a database.

[2332] Step 2: Evaluation support

[2333] The server supplies the business information stored in the database to the rating algorithm.

[2334] Specific operation: The server extracts financial and market information about companies from the database and feeds it into the valuation algorithm.

[2335] Input: Company information extracted from the database

[2336] Output: Company information to feed into the rating algorithm

[2337] The rating algorithm assesses the risk and return of a company based on past investment successes and failures.

[2338] Specific operation: The evaluation algorithm analyzes past data on "education startups" and generates evaluation results for "market growth rate, high return expectations, and technical risk."

[2339] Input: Company information provided

[2340] Output: Generated evaluation results

[2341] The server stores the generated evaluation results in a database and transmits them to the user's terminal.

[2342] Providing services to external companies

[2343] Step 1: Manage usage requests

[2344] When an external organization sends a usage request, the server receives the request and stores it in a database.

[2345] Specific operation: The external organization sends a usage request, which the server receives and stores in the database.

[2346] Input: Request to use external organization

[2347] Output: Usage request information stored in the database

[2348] Step 2: Providing the service

[2349] The server provides external organizations with a service for using the generated AI model.

[2350] Specific operation: The server provides the access information and configuration instructions necessary for use by external organizations.

[2351] Input: Usage request information retrieved from the database

[2352] Output: Information required to provide the service

[2353] Step 3: Monitoring usage and billing

[2354] The server monitors the usage status of external organizations and charges them for usage.

[2355] Specific operation: The server monitors the frequency and duration of use by external organizations, calculates the usage fee based on that information, and bills the user.

[2356] Input: Usage data from external organizations

[2357] Output: Usage fee calculation results and invoice

[2358] The above is a specific explanation of the process flow of this system, divided into processing steps.

[2359] (Application example 1)

[2360] 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."

[2361] Traditionally, it has taken a great deal of time and effort for entrepreneurs to develop business plans and for investors to make investment decisions. Furthermore, there has been no effective system for easily visualizing generated business plans and evaluation results, and regenerating them in real time to reflect feedback. Therefore, there has been a demand for technology that efficiently performs the entire process of collecting business information, evaluating it, generating plans, and providing feedback. Furthermore, there are insufficient means to display generated information in real time on smart devices, leaving the challenge of improving user convenience.

[2362] 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.

[2363] In this invention, the server includes a means for inputting business information using a data processing device, a means for generating a business plan proposal based on the input business information using a generative artificial intelligence model, a means for presenting the generated business plan proposal on a display device, a means for collecting user feedback on the presented business plan proposal, a means for reapplying the generative artificial intelligence model based on the collected feedback to generate a new business plan proposal, and a means for displaying the generated business plan proposal in real time on a smartphone, smart glasses, a head-mounted display, or a robot as a content distribution service. This streamlines the series of processes for entrepreneurs to efficiently formulate business plans and investors to make appropriate investment decisions, and makes it possible to display the generated information on a smart device in real time.

[2364] A "data processing device" is a device that inputs business or corporate information, processes that information appropriately, and stores it in a database.

[2365] A "generative artificial intelligence model" is an algorithm or program that generates business plan proposals and evaluation results based on input business and corporate information.

[2366] A "display device" is a device that visually presents the generated business plan proposal and evaluation results to the user.

[2367] "Feedback" refers to corrections and opinions provided by users regarding the proposed business plan.

[2368] "Reapplication" means running the generative artificial intelligence model again based on the collected feedback.

[2369] The "content distribution service" is a service that provides users with generated business plans and evaluation results in real time via smart devices.

[2370] A "smartphone" is a multifunctional portable information terminal that allows users to access a variety of services through applications.

[2371] "Smart glasses" are eyeglass-type devices that have the function of displaying information in the wearer's field of vision.

[2372] A "head-mounted display" is a display device worn on the user's head to provide visual information.

[2373] A "robot" is a device that operates autonomously or remotely and has the ability to collect and process information.

[2374] "Information on investment target companies" refers to detailed data about companies in which investors are considering investing.

[2375] An "evaluation algorithm" is a calculation method or program that evaluates input corporate information based on past investment successes and failures.

[2376] "Real-time" means processing and providing information immediately, without delay.

[2377] This invention relates to a support system that helps entrepreneurs efficiently develop business plans and investors make appropriate investment decisions, and describes a specific method for generating and evaluating business plans using a generative AI model.

[2378] Overall system configuration

[2379] This system mainly consists of the following elements:

[2380] 1. Data processing device (server): Responsible for receiving input business and enterprise information and supplying the necessary data to the generative AI model and evaluation algorithm.

[2381] 2. Generative AI model (on the server): Generates a business plan proposal based on business information and regenerates it reflecting feedback.

[2382] 3. Display device (smart device): Visually displays the generated business plan proposal and evaluation results to the user.

[2383] 4. Users (entrepreneurs and investors): Access the system, enter the necessary information, review the generated plans and evaluation results, and provide feedback.

[2384] 5. Evaluation algorithm: Based on past investment successes and failures, an evaluation of risk and return is generated.

[2385] Hardware used

[2386] Server: High-performance data processing server (e.g., AWS EC2, Google Cloud Compute Engine)

[2387] Display devices: smartphones, smart glasses, head-mounted displays, robots

[2388] Database: MongoDB

[2389] Generative AI model: GPT-4 (or equivalent generative model)

[2390] Software used

[2391] Front-end software: Developing a smartphone app using React Native

[2392] Backend software: Implementing server and database integration using Node.js

[2393] Evaluation algorithm: Implemented using Python and Scikit-learn

[2394] Specific Examples

[2395] Business plan development for entrepreneurs

[2396] 1. Data Entry

[2397] The server allows users (entrepreneurs) to input business ideas and market analysis data through a front-end app.

[2398] The entered data is saved in a database (MongoDB) in real time via the server.

[2399] 2. Generate a business plan

[2400] The server feeds the stored business information into a generative AI model (GPT-4).

[2401] The generative AI model generates an initial business plan based on the input information.

[2402] The server stores the generated business plan in a database and sends it to the smart device.

[2403] 3. View and provide feedback on the proposed plan

[2404] The generated business plan proposal is presented to the user through a display device such as a smartphone or smart glasses.

[2405] The user (entrepreneur) reviews the proposed plan and enters feedback on corrections and improvements.

[2406] The server receives user feedback and feeds it back into the generative AI model (GPT-4).

[2407] 4. Regenerate your business plan

[2408] The generative AI model recreates a new business plan proposal that reflects the feedback.

[2409] The regenerated business plan is also saved in the database and re-presented on the smart device.

[2410] Investor evaluation of investee companies

[2411] 1. Enter your company information

[2412] The server allows users (investors) to input information about the company being evaluated through a front-end application.

[2413] The entered data is stored in a database.

[2414] 2. Evaluation support

[2415] The server feeds the stored business information into the rating algorithm.

[2416] The evaluation algorithm evaluates the input company information based on past investment successes and failures, and generates risk and return evaluation results.

[2417] The evaluation results are displayed in real time on the smart device.

[2418] Examples of concrete examples and prompts

[2419] Specific examples

[2420] For example, an entrepreneur wants to create a business plan for an "online health consultation platform." They input their business idea and market analysis, and the generative AI model (GPT-4) generates an initial business plan. The entrepreneur can then provide feedback, such as "I'd like you to strengthen the marketing strategy," and receive a regenerated business plan.

[2421] Prompt Sentence Examples

[2422] Generate a business plan for an online health consultation platform. Use the following information to create a detailed plan that includes market analysis, competitive analysis, and financial planning:

[2423] Business idea: Online health consultation platform

[2424] Market Analysis: Current Status of Online Medical Consultation Market

[2425] Competitive analysis: Competitors of existing online medical consultation services

[2426] Financial Planning: Initial Investment, Revenue Projections, Cash Flow

[2427] This approach allows users to efficiently plan their business and make investment decisions.

[2428] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[2429] Step 1:

[2430] Data Entry

[2431] Users (entrepreneurs) input business information through a terminal. Specifically, information such as business ideas, market analysis, competitive analysis, and financial plans is entered. This information is sent to the server via an input form and stored in a database. The entered business information is processed and stored on the server, enabling subsequent data calculations.

[2432] Step 2:

[2433] Generate a business plan

[2434] The server retrieves business information stored in a database and supplies it to a generative AI model. The generative AI model (e.g., GPT-4) generates a business plan based on the provided business information. During this process, the input information is analyzed using a natural language processing algorithm, and a structured business plan is output. The generated business plan is stored in a database and sent to the user's device.

[2435] Step 3:

[2436] Display and confirmation

[2437] The user (entrepreneur) reviews the generated business plan on the device. Using a display device such as ...

Claims

1. means for inputting business information through a data processing device; A means for generating a business plan proposal based on input business information using a generative artificial intelligence model; means for presenting the generated business plan proposal on a display device; A means of collecting user feedback on the proposed business plan; a means for reapplying the generative artificial intelligence model based on the collected feedback to generate a new business plan proposal; A system including:

2. A means for inputting information about the investment target company; A means for evaluating input company information based on past investment successes and failures using a generative artificial intelligence model; means for displaying the evaluation results on a display device; The system of claim 1 , comprising:

3. A means to manage usage requests from external companies; A means for providing external companies with a service for using the generative artificial intelligence model; A means of monitoring and charging usage fees for external companies; The system of claim 1 , comprising:

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