JP7709803B1 - Information processing system, information processing method, and program - Google Patents

Abstract

An information processing system, an information processing method, and a program are provided that are capable of analyzing the value of a company and generating useful information.
[Solution] The information processing system disclosed herein includes a control unit that executes a management analysis process that uses a first generation AI to conduct a management analysis of a user company based on input information from a user regarding the business content of the user company, a forecast scenario generation process that uses a second generation AI to generate future forecast scenario information for the user company based on the analysis information obtained by the management analysis process and pre-stored market information for each industry, and an output process that outputs the generated forecast scenario information.
[Selected Figure] Figure 1

Description

Application of Article 30, paragraph 2 of the Patent Act February 18, 2025, posted on website, <URL: https://www. youtube. com/watch? v=OMGxRho_x60>, March 5, 2025, posted on website, <URL: https://www. eiy-web. com/>, March 5, 2025, posted on website, <URL: https://www. whyme-coach. com/>, February 28, 2025, Final selection of "Hamagin Foundation Frontiers" (Yokohama Bank Kawasaki Branch "Hamagin Learning Center"), March 5, 2025, "IT Trend EXPO 2025 Spring", online (https://it.expo.it-trend.jp/)

This disclosure relates to an information processing system, an information processing method, and a program.

For example, Patent Document 1 proposes a technology that generates a business plan using business information of competitors that are related to the company's own business.

JP 2023-011143 A

However, there is room for improvement in traditional methods when it comes to analyzing the value of your company and generating useful information.

Therefore, this disclosure has been made in consideration of the above problems, and its purpose is to provide an information processing system, information processing method, and program capable of analyzing the value of a company and generating useful information.

According to the present disclosure, a management analysis process is performed using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
An information processing system is provided that includes an output process that outputs the generated forecast scenario information.

According to the present disclosure, a management analysis process is performed on the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
An information processing method is provided in which a control unit of an information processing system executes an output process of outputting the generated forecast scenario information.

According to the present disclosure, a management analysis process is performed on the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
An output process for outputting the generated forecast scenario information is also provided.

The present disclosure provides an information processing system, information processing method, and program capable of analyzing the value of a company and generating useful information.

FIG. 1 is a diagram illustrating a configuration example of an information processing system according to an embodiment of the present disclosure. FIG. 2 is a diagram illustrating an example of a configuration of an information processing device according to the embodiment. FIG. 11 is a diagram illustrating a configuration example of a user terminal according to the embodiment. FIG. 2 is a diagram showing an example of a flow of the system according to the embodiment. FIG. 11 is a diagram showing an example of a screen of a user terminal according to the embodiment. FIG. 11 is a diagram showing an example of a screen of a user terminal according to the embodiment. FIG. 11 is a diagram showing an example of a screen of a user terminal according to the embodiment. FIG. 11 is a diagram showing an example of a screen of a user terminal according to the embodiment. FIG. 11 is a diagram showing an example of a screen of a user terminal according to the embodiment. FIG. 11 is a diagram showing another example of the flow of the system according to the embodiment. FIG. 11 is a diagram showing an example of a screen of a user terminal according to the embodiment. FIG. 11 is a diagram showing an example of a screen of a user terminal according to the embodiment.

A preferred embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings. Note that in this specification and drawings, components having substantially the same functional configuration are designated by the same reference numerals to avoid redundant description.

Figure 1 shows an example of an information processing system according to this embodiment. This system 1 includes an information processing device 10 and a user terminal 20, and can communicate via a network NW.

The information processing device 10 is a server device used by a system administrator or the like to operate and manage various services, and may be, for example, a general-purpose computer such as a workstation or personal computer, or may be logically realized using cloud computing technology.

As shown in FIG. 2, the information processing device 10 includes a control unit 11, a memory unit 12, an input unit 13, an output unit 14, and a communication unit 15.

As shown in FIG. 3, the user terminal 20 includes a control unit 21, a storage unit 22, an input unit 23, an output unit 24, and a communication unit 25. The user terminal 20 is a computer operated by a user that inputs and outputs various information. For example, the user terminal 20 is a smartphone, a tablet computer, a personal computer, etc. The user can access the information processing device 1 by, for example, an application or a web browser executed on the user terminal.

When the information processing device 1 receives various commands (requests) from other information processing devices or the like via the input unit 13 or the communication unit 15, the control unit 11 executes processing according to the program, and the processing results of the program (e.g., images, sounds, etc.) are sent to the output unit 14 or other information processing devices or the like. Alternatively, the information processing device 1 receives various commands (requests) from other information processing devices or the like via the communication unit 15, and transmits the processing results of the program executed by the control unit 11 to the other information processing devices or the like. Note that a part of the program may be transmitted to the other information processing devices and executed on the other information processing devices. In this case, the other information processing devices (user terminals 2) may be, for example, smartphones, mobile phone terminals, tablet terminals, personal computers, etc., and are connected wirelessly or by wire to the information processing device 1 via a network such as the Internet.

The control units 11 and 21 handle the transfer of data between each unit and control the entire game server 1, and are realized, for example, by a CPU (Central Processing Unit), MPU (Micro Processing Unit), or GPU (Graphics Processing Unit) executing a program stored in a designated memory.

The memory units 12 and 22 store various data and programs, and are, for example, hard disk drives, solid state drives, flash memory, etc.

The input units 13 and 23 are used by users and system administrators to input various data, and are realized by, for example, a keyboard, a mouse, a touch panel, buttons, a microphone, etc.

The output units 14 and 24 output various information generated by the control unit 11. Examples of the output units include a liquid crystal display (LCD), a touch panel, a printer, and a speaker.

The communication units 15 and 25 are for communicating with other information processing devices, and have a function as a receiver that receives various data and signals transmitted from other information processing devices, etc., and a function as a transmitter that transmits various data and signals to other information processing devices, etc. in response to commands from the control unit. The communication units are realized, for example, by a NIC (Network Interface Card), an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone line network, a wireless communication device for wireless communication, a USB (Universal Serial Bus) connector for serial communication, an RS232C connector, etc.

As shown in FIG. 2, the control unit 11 of the information processing device 10 can function as an information acquisition unit 111 and an information generation unit 112. The storage unit 12 can function as an element information storage unit 121 and an output information storage unit 122.

The information acquisition unit 111 acquires various information used to generate output data. The acquired information may include information input by a user or a system administrator, and information acquired from an external system via a network such as the Internet (e.g., information from a company's website, web information from SNS, etc.).

The information generating unit 112 generates output information based on the input information and the information in the storage unit, by inputting the input information to the generating model as appropriate, and further editing the generated information output by the generating model as necessary. The generating model may be implemented in the information processing device 10, or may be implemented in another server accessible through a communication network, but is not limited thereto. When the generating model is implemented in the information processing device 10, the information generating unit 112 inputs prompt information to the generating model, and when the generating model is implemented in another server, the information generating unit 112 transmits prompt information to the generating model via the network. The information generated by the information generating unit 112 may include information generated without using a generating AI. For example, information previously stored in the storage unit in association with the industry information of the user company may be output (without going through the generating AI) according to the industry information of the user company. The generation conditions of such output information (generated information) are previously stored in the storage unit.

The element information storage unit 121 stores various element information including performance data used to generate output data. The element information storage unit 121 can store information input in advance by a system administrator, information input by a user, etc.

The output information storage unit 122 stores the output information generated by the control unit 11. The output information may include text information, image information, audio information, etc.

When the information processing device 10 generates various information using the generation AI, the information acquisition unit 111 generates a prompt based on the acquired information (or based on a pre-stored prompt or the input prompt itself), and if the information is text information, the information generation unit 112 inputs the prompt into a text generation model (for example, a large-scale language model such as ChatGPT), and if the information is an image or design, the information generation unit 112 inputs the prompt into an image generation model and generates the information. The generation model may be, for example, a model that receives a specific input vector or random noise given as an input and generates an image from the information. The generation model includes, for example, a generator. The generator converts the input information into appropriate features or patterns and converts it into text or an image. The generator is constructed using, for example, a Convolutional Neural Network (CNN), a Transformer, or other deep learning architecture, although other architectures can also be used.

As shown in FIG. 4, the control unit 11 of the system executes a process of acquiring information about the user company (S1), a business analysis process (S2), a process of generating a forecast scenario (S3), and an output process (S4). Note that, depending on the information obtained, any of the steps may be omitted, for example, if business analysis has been performed in advance, S2 may be omitted and S3 may be executed.

In step S1, the control unit 11 acquires information about the user company, including the business content of the user company. For example, as shown in FIG. 5, the person in charge of the user company inputs the business content from an input screen G displayed on the user terminal. The input operation may be free text input, or may be selected from options of business content stored in advance. The business content is, for example, "industry type" information indicating the type of product, service, etc. provided by the user company (business operator). The business content information may be divided into multiple (not limited to two levels, but may be three or more levels) input items in stages (systematically) such as "major category" 51 and "minor category" 52 as in the example of FIG. 5, or may be a single input item. It is preferable that each option such as "major category" and "minor category" is associated and stored in advance. For example, in the example of FIG. 5, when "real estate" is selected in the major category, options associated with the major category "real estate" (detached house development, condominium development, office building development, etc.) can be selected in the minor category. The industries are not particularly limited, but may include, for example, other than "real estate," "manufacturing," "retail," "wholesale," "food and beverage," "lodging," "services," "IT," "advertising," "finance," "consulting," "government agencies," "transportation," "agriculture," "forestry," "fisheries," etc.

Here, a database that is stored in advance is registered in the storage unit. The database includes market data for each industry of the company. The market data includes information on the history (performance) of each industry up to the present, including the past, and future forecast information (business opportunities and risks, etc.). The past information may include the market size for each industry (market size (yen) in 2000, etc.) associated with time-based information such as date and time, the number of related companies, and information on each company (corporate philosophy, capital, date of establishment, transition of number of employees, market capitalization, stock price, business content, organizational information, performance (sales, profits), specific measures (efforts), press release information, website information, SNS information, etc.). The information on each industry and each company may be stored in chronological order in association with date and time information. The future forecast information may include, for example, market forecast data published by government agencies, think tanks, etc. Alternatively, the control unit may predict various information on each industry at a predetermined time point (one year later, three years later, five years later, etc.) estimated based on the time-series transition information up to the present, and store it in the storage unit. For example, the control unit may input a prompt such as "Please estimate the market size of the real estate industry in 10 years' time" to a known generative AI model, obtain estimated information from the output information, and store the information obtained.

The database is stored in advance in the storage unit of the information processing device 10 or an external device, and is updated as appropriate. Updating of the database (adding, organizing, deleting data, etc.) may be performed in response to user input operations, or may be performed automatically by the control unit based on public information that can be referenced via a network. For example, the control unit 11 may periodically, such as daily or weekly, access the websites of companies and government agencies to obtain various information and update the database.

As shown in FIG. 5, the control unit 11 may display industry description information 53 corresponding to the business content input by the user. This "industry description information" may be information stored in association with the business content information, or may be information output from the generation AI. When the generation AI is used, the control unit can output information obtained by inputting a prompt such as "Please output a description of the detached house development industry" to the generation AI according to the user's business content information. Similarly, the control unit 11 may display industry overview information 54, market environment information 55, competitive environment 56, etc. corresponding to the business content input by the user. The industry overview information 54 is information that quantitatively and qualitatively explains the overview of the industry corresponding to the business content. The market environment information 55 is information that indicates information on the market environment of the industry corresponding to the business content, and quantitatively and qualitatively explains whether the market size is expanding or shrinking. The competitive environment 56 is information that quantitatively and qualitatively explains the presence or absence of competition in the industry corresponding to the business content, company names, shares, trends of each company, etc.

As shown in FIG. 6, the control unit 11 may display business opportunity information 57a, 57b corresponding to the business content input by the user. This "business opportunity information" may be information stored in association with the business content information, or may be information output from the generation AI. When the generation AI is used, the control unit can output information obtained by inputting a prompt such as "Please output business opportunities in the detached house development industry (such as national and local government policies)" to the generation AI according to the user's business content information. In this example, multiple (two) pieces of business opportunity information 57a, 57b are displayed and the user is asked to select one of them (in FIG. 6, option 57a is selected), which further improves the accuracy of the analysis. However, the number of business opportunity information displayed may be one or more than two, or may simply be not displayed so that the user is not allowed to select one.

As shown in FIG. 6, the control unit 11 may display business risk information 58a, 58b corresponding to the business content input by the user. This "business risk information" may be information stored in association with the business content information, or may be information output from the generation AI. When the generation AI is used, the control unit can output information obtained by inputting a prompt such as "Please output the business risks of the detached house development industry (competitive situation, labor shortage, market shrinkage, etc.)" to the generation AI according to the user's business content information. In this example, multiple (two) pieces of business risk information 58a, 58b are displayed and the user is asked to select one of them (in FIG. 6, the option 58b is selected), which further improves the accuracy of the analysis. However, the business opportunity information to be displayed may be only one or three or more, or may simply not be displayed and the user is not asked to select one. In this system, the control unit presents multiple options to the user and allows the user to select one of them, thereby improving the understanding of the user company and improving the accuracy of the output.

After acquiring the company information as described above, the control unit 11 executes a management analysis process S2 in which a management analysis of the user company is performed using the first generation AI based on the input information from the user. For example, as shown in FIG. 7, the control unit may present the user with a plurality of question information 61 stored in advance according to the business content of the user company, and may input the user's answer information 62 to the first generation AI to output the information obtained as analysis information. The control unit is not limited to the above method, and may perform a management analysis of the user company based on the business content information of the user company and market information associated with the business content stored in advance in the storage unit. In that case, the control unit inputs the business content information of the user company and the business content stored in advance in the storage unit to the first generation AI, and then instructs the generation AI to prompt to output the analysis results of the user company, thereby obtaining the analysis results. Furthermore, the control unit may acquire company information (performance information such as number of employees, capital, sales, etc.) from a homepage or the like based on the user's input and have the generation AI refer to it.

The question information 61 is stored in association with the business content (e.g., subdivision) and organizational function (e.g., business planning, sales, manufacturing, etc.) of the user company, and is presented to the user in order starting from Q1. It is preferable that there are multiple questions, for example, 20 or more questions for each organizational function. In the example of FIG. 7, the user can input answer information 62 in six stages as answer options, but this is not limited to this, and may be five stages or less or seven stages or more. In the example of FIG. 7, a help icon 63 is displayed, and when the user selects the help icon 63 by touching the touch panel or selecting the help icon 63 with the mouse pointer, a detailed explanation of at least one of the question information and the answer information is displayed. In this way, the control unit 11 presents explanation information stored in advance in response to the user's input, thereby improving the user's convenience. The explanation of the answer information displayed as a result of selecting the help icon 63 can be, for example, a relevance of "0" to the question meaning "there is absolutely no vision," "1" meaning "there is a vision but the strategy is not being executed," "2" meaning "the strategy is being executed but there is variation between employees," etc.

When the control unit 11 acquires answer information for each question from the user as described above, it inputs information corresponding to the answer information (information previously stored in the storage unit) to the generation AI. Specifically, for example, when the user selects "4" for Q1 in FIG. 7, the control unit acquires information associated with the answer information (the option selected by the user) from the storage unit (for example, the user company currently has a clear vision and has begun to implement an aggressive strategy based on the management philosophy, but the accuracy is insufficient, etc.). The control unit then inputs the information to the generation AI, performs a management analysis of the company based on the answer information, inputs a prompt to instruct the generation AI to output the analysis results (various items in FIG. 8, etc.), and acquires output information from the generation AI.

The analysis results of S2 are output as shown in FIG. 8, for example. In the example of FIG. 8, the analysis result information includes five pieces of "management index analysis result" information 65, namely "leadership," "management," "operation (structure)," "operation (mechanism)," and "IT/DX," as well as information 66 of "current issues" shown in text and information 67 of "what needs to be solved/challenged in the future." The number and type of these analysis result items are stored in the storage unit in advance, and each piece of result information can be output information obtained by the control unit 11 inputting the business information of the user company and the answer information to the questions into the generation AI, or information indexed according to the output information. The "management index analysis result" information 65 may be, for example, a polygonal (pentagonal, etc.) radar chart, or may be output as a diagram such as a bar graph. The information 66 of "current issues" and the information 67 of "what needs to be solved/challenged in the future" may be output as images generated by the generation AI by the control unit 11, instead of or in addition to text.

The control unit 11 executes a process (S3) of generating a forecast scenario that generates future forecast scenario information for the user company using a second generation AI based on the analysis information obtained by the management analysis process and pre-stored market information for each industry. Note that the second generation AI may be the same as the first generation AI, or may be a different generation AI.

The control unit 11 inputs, for example, the above-mentioned "current issues" information 66 and "future issues to be resolved/challenged" information 67 as analysis information (results of the analysis process), as well as pre-stored market information for each industry (such as market forecast data for the detached house development market) to the generation AI. In addition, the control unit 11 inputs a prompt to the generation AI that generates future forecast scenario information for the user company based on the information, and has the generation AI output the prompt, thereby generating future forecast scenario information for the user company.

Then, the control unit 11 executes an output process (S4) that outputs the forecast scenario information. As shown in FIG. 9, the forecast scenario information generated by the second generation AI is, for example, a sentence (text) related to a future forecast scenario for a predetermined period, but may also include a graph based on quantitative numerical values and images such as related illustrations. In the example of FIG. 9, the control unit generates and outputs multiple forecast scenario information (future scenarios) with different forecast periods. In the example of FIG. 9, short-term forecast scenario information 68 from one year to two years from the present and medium- to long-term forecast scenario information 69 from three years to five years from the present are shown. The multiple forecast scenario information with different forecast periods may be displayed for three or more periods such as short term, medium term, and long term, and in any case, the forecast period may be several months, several years, or several decades. In this way, the condition information of the forecast period to be output is set in advance by a system administrator or the like and stored in the storage unit, and the control unit generates the scenario information using the generation AI based on the condition information in the storage unit.

As described above, in this embodiment, the future of a user company can be predicted by generating forecast scenario information based on business analysis information executed using a generation AI according to the business content of the user company and market information. As a result, by inputting specified information, the user can obtain useful information that analyzes the value of the company.

Here, as shown in FIG. 10, after the forecast scenario generation process (S13), the control unit 11 may execute a presentation process (S14) that presents to the user a number of pre-stored options for future policies, and a forecast scenario regeneration process (S15) that regenerates forecast scenario information based on an option selected by the user from the number of presented options for future policies.

As shown in FIG. 11, for example, the control unit 11 displays options 71a, 71b, 71c, etc., of ideas that the user would like to adopt as a future business direction, on the screen of the user terminal. Information on the options is stored in advance in the storage unit. Information on the options may be stored for each industry, or may be common regardless of industry. There may be two or more options, for example, five or more options.

The control unit 11 inputs the option selected by the user (71a in the example of FIG. 11) to the second generation AI, generates future scenario information based on the information of the option through a prompt, and executes output processing (S16). In the example of FIG. 12, the regenerated short-term forecast scenario information 72 and medium- to long-term forecast scenario information 73 are output.

The control unit 11 may execute a process of presenting to the user, together with the forecast scenario information, the initiative case information 74 (see FIG. 12) selected from the initiative case information of other companies stored in advance when outputting the forecast scenario information generated in S3 or S13, or when outputting the forecast scenario information regenerated in S15. The selection of the initiative case information of other companies may be selected, for example, according to the business content as the user company information. Specifically, all or a part (a predetermined number) of the initiative cases of other companies in the same industry as the user company may be selected. In addition, the selection may be based on conditions stored in the storage unit in advance, such as cases of other companies of a similar scale (the number of people, capital, sales, etc. are determined under conditions such as the same range as the user company) among other companies in the same industry, cases of other companies that have been established for a similar number of years, or the generation AI may be prompted to output the information. The selection of the initiative case information of other companies may be selected, for example, based on analysis information as a result of the management analysis process, based on information of the option selected by the user in S14, or based on the forecast scenario information. In either case, the selection may be based on conditions previously stored in the storage unit, or a prompt may be input to the generation AI to have it output the information.

The control unit 11 may present business opportunity information and risk information generated based on the user company information and market information. For example, after the company information acquisition process S1, S11, the control unit 11 may refer to the storage unit and output (display on the screen) the business opportunity information and risk information that are associated with the industry selected by the user and stored in advance in the storage unit. With this configuration, the user can easily grasp the business opportunity and risk information according to the industry of his or her company. This business opportunity information and risk information can be used as market information in the management analysis process and the forecast scenario generation process by the generation AI.

In this embodiment, the user company information may include information regarding the user company's management philosophy. The control unit can improve the accuracy of the user company's management analysis by inputting (referring to) information regarding the management philosophy into the generation AI and then executing the management analysis process. As a result, the accuracy of the analysis information is improved, and the accuracy of the subsequent forecast scenario information generation process can also be improved. The management philosophy may be, for example, text information input by the user company, or information obtained from the user company's website, etc. The management philosophy may include at least one of the following: "mission (mission/value of existence)", "vision (desired future state)", and "value (values/code of conduct)".

In this embodiment, the user company information may include information about the user company's competitive strategy. The information about the user company's competitive strategy may be used when generating future forecast scenario information for the user company. That is, information about the user company's competitive strategy may be input to the second generation AI to generate forecast scenario information. In that case, a scenario based on the user company's competitive strategy policy can be predicted using the generation AI. The information about the competitive strategy is information about a strategy for the user company to advance its business in an advantageous manner over its competitors. The information about the competitive strategy may include information output by inputting (referring to) the business content of the user company into the generation AI, or may include information input or selected by the user. For example, the control unit may present the user with options of pre-stored competitive strategies and have the user select one of them to obtain the information. Specifically, for example, the competitive strategy may have the following options, and may be presented by outputting items and explanations on the user's screen.
- Technology-first strategy: A technology-first strategy is a strategy that allows a company to capture a market in a field where the leading company does not have the technology or advantage of the leading company by entering the market with technology that can develop the market at the same level or greater than that of the leading company.
- Development channel monopoly strategy: A development channel monopoly strategy is a strategy that takes control of channels that leaders cannot choose and utilizes the advantages gained in a differentiated market.
-Ultra-niche strategy: The ultra-niche strategy is a strategy to capture a limited market by offering products and services that are targeted at specific, uncommon customers.
- Regional dominant strategy: A regional dominant strategy is a strategy in which a company concentrates its business in a limited area so that even large companies will not take away its market share within that area.
・Time domain strategy: A time domain is a strategy that focuses on a limited time period. Historically old companies can capture regular customers during the peak demand period, so they will not be able to enter that business.
Small market strategy: A small market strategy is a market where the market size is too small for a leader to enter, and therefore many companies are participating. It is a market where niche companies can enjoy the benefits.
- Monopoly of the Survivor: The Monopoly of the Survivor strategy is a strategy in which the remaining companies enjoy profits within the limited market as the product enters the recession phase of its life cycle, the market shrinks, and profits are no longer made.
- Limited supply premium strategy: The limited supply premium strategy is a strategy that intentionally limits production and supply volumes to create a sense of premium and ensure profits.
- Full customization strategy: A full customization strategy is a strategy that provides products and services that are completely made to order.

In this embodiment, the market forecast information may include market data disclosed by a public institution, or forecast data generated based on the market data. The forecast data generated based on the market data may be, for example, data that estimates future values, such as values one year from now, five years from now, or ten years from now, based on past values. Such an estimation process may be calculated by the control unit by applying past values to a predetermined formula.

Although the preferred embodiment of the present disclosure has been described in detail above with reference to the attached drawings, the technical scope of the present disclosure is not limited to such examples. It is clear that a person with ordinary knowledge in the technical field of the present disclosure can conceive of various modified or revised examples within the scope of the technical ideas described in the claims, and it is understood that these also naturally fall within the technical scope of the present disclosure.

The device described in this specification may be realized as a single device, or may be realized by multiple devices (e.g., cloud servers) partially or entirely connected via a network. For example, the control unit (e.g., information generation unit 112, etc.) and storage unit (e.g., element information storage unit 121, etc.) of the information processing device may be realized by different servers connected to each other via a network.

The series of processes performed by the device described in this specification may be realized using software, hardware, or a combination of software and hardware. A computer program for realizing each function of the information processing device according to this embodiment can be created and installed in a PC or the like. A computer-readable recording medium on which such a computer program is stored can also be provided. Examples of the recording medium include a magnetic disk, an optical disk, a magneto-optical disk, and a flash memory. The above computer program may also be distributed, for example, via a network, without using a recording medium.

In addition, the processes described in this specification using flowchart diagrams do not necessarily have to be performed in the order shown. Some processing steps may be performed in parallel. Also, additional processing steps may be employed, and some processing steps may be omitted.

Furthermore, the effects described in this specification are merely descriptive or exemplary and are not limiting. In other words, the technology disclosed herein may achieve other effects that are apparent to a person skilled in the art from the description in this specification, in addition to or in place of the above effects.

Note that the following configurations also fall within the technical scope of the present disclosure.
(Item 1)
A management analysis process that performs a management analysis of the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
and a control unit that executes an output process for outputting the generated forecast scenario information.
(Item 2)
The control unit, in the management analysis processing,
2. The information processing system described in item 1, which presents a user with a plurality of questions that are pre-stored according to the business activities of the user company, and outputs information obtained by inputting the user's answers to the plurality of questions into the first generation AI as the analysis information.
(Item 3)
The control unit is
2. The information processing system according to item 1, wherein the forecast scenario generation process generates a plurality of forecast scenario information pieces with different forecast periods.
(Item 4)
After the forecast scenario generation process, the control unit:
A presentation process of presenting a plurality of options regarding future policies stored in advance to a user;
3. The information processing system according to item 1 or 2, further comprising: a forecast scenario regeneration process for regenerating forecast scenario information based on an option selected by the user from among a plurality of future course options presented to the user.
(Item 5)
The information processing system according to item 1 or 2, wherein the control unit executes a process of presenting to a user, together with the forecast scenario information, initiative case information selected from pre-stored initiative case information of other companies based on the user company information or the analysis information.
(Item 6)
The control unit is
3. The information processing system according to item 1 or 2, which presents business opportunity information and risk information generated based on the user company information and market information.
(Item 7)
3. The information processing system according to item 1 or 2, wherein the user company information includes information regarding the management philosophy of the user company.
(Item 8)
3. The information processing system according to item 1 or 2, wherein the user company information includes information regarding a social issue or a customer issue that the user company wishes to solve.
(Item 9)
3. The information processing system according to item 1 or 2, wherein the user company information includes information regarding customer value provided by the user company.
(Item 10)
3. The information processing system according to item 1 or 2, wherein the user company information includes information regarding the competitive strategy of the user company.
(Item 11)
3. The information processing system according to item 1 or 2, wherein the market forecast information includes market data disclosed by a public institution or forecast data generated based on the market data.
(Item 12)
A management analysis process that performs a management analysis of the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
an output process for outputting the generated forecast scenario information, the output process being executed by a control unit of the information processing system.
(Item 13)
A management analysis process that performs a management analysis of the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
and an output process for outputting the generated forecast scenario information.

Reference Signs List 1 Information processing system 10 Information processing device 20 User terminal

Claims (12)

A management analysis process that performs a management analysis of the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
and an output process for outputting the generated forecast scenario information .
After the forecast scenario generation process, the control unit:
a presentation process for presenting to a user a plurality of options regarding a business policy that the user wishes to adopt in the future, the options being stored in advance;
and a forecast scenario regeneration process that inputs information about an option selected by a user from multiple options related to the business policy presented to the second generation AI, and regenerates forecast scenario information by prompting the user to generate information about a future forecast scenario based on the information about the option. The control unit, in the management analysis processing,
The information processing system of claim 1, further comprising: a plurality of questions stored in advance according to the business activities of the user company are presented to the user; and information obtained by inputting the user's response information to the plurality of questions into the first generation AI is output as the analysis information. The control unit is
The information processing system according to claim 1 , wherein the forecast scenario generation process generates a plurality of forecast scenario information pieces with different forecast periods. The information processing system according to claim 1 or 2, wherein the control unit executes a process of presenting to a user, together with the forecast scenario information , initiative example information selected from pre-stored initiative example information of other companies based on the input information or the analysis information. The control unit is
3. The information processing system according to claim 1, further comprising: a display unit configured to display business opportunity information and risk information generated based on the input information and market information. 3. The information processing system according to claim 1, wherein the input information includes information regarding a management philosophy of the user company. The information processing system according to claim 1 , wherein the input information includes information regarding a social problem or a customer problem that the user company wishes to solve. The information processing system according to claim 1 , wherein the input information includes information regarding customer value provided by a user company. The information processing system according to claim 1 , wherein the input information includes information regarding a competitive strategy of a user company. The information processing system according to claim 1 , wherein the market information includes market data disclosed by a public institution or forecast data generated based on the market data. A management analysis process that performs a management analysis of the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
an output process for outputting the generated forecast scenario information, the output process being executed by a control unit of the information processing system ;
After the forecast scenario generation process, the control unit:
a presentation process for presenting to a user a plurality of options regarding a business policy that the user wishes to adopt in the future, the options being stored in advance;
and a forecast scenario regeneration process in which information on an option selected by a user from a plurality of options presented regarding the business policy is input to the second generation AI, and forecast scenario information is regenerated by a prompt that generates information on a future forecast scenario based on the information on the option. A management analysis process that performs a management analysis of the user company using a first generation AI based on input information from a user regarding the business content of the user company;
a forecast scenario generation process that generates future forecast scenario information for the user company using a second generation AI based on analysis information obtained by the management analysis process and pre-stored market information for each industry;
an output process for outputting the generated forecast scenario information ,
After the forecast scenario generation process, the control unit:
a presentation process for presenting to a user a plurality of options regarding a business policy that the user wishes to adopt in the future, the options being stored in advance;
A program that executes a forecast scenario regeneration process in which information on an option selected by a user from multiple options presented regarding the business policy is input into the second generation AI, and forecast scenario information is regenerated by a prompt that generates information on a future forecast scenario based on the information on the option.