Information Processing System, Information Processing Method, and Program

Abstract

An information processing system, an information processing method, and a program are provided that can analyze the value of an enterprise and generate useful information. 【Solution means】 The information processing system according to the present disclosure includes a management analysis process that performs a management analysis of the user enterprise using a first generation AI based on input information from the user regarding the business content of the user enterprise, and analysis information obtained by the management analysis process, and based on market information for each industry type stored in advance, a prediction scenario generation process that generates future prediction scenario information for the user enterprise using a second generation AI, and an output process that outputs the generated prediction scenario information, and includes a control unit that executes the processes.

Description

Technical Field

[0001] The present disclosure relates to an information processing system, an information processing method, and a program.

Background Art

[0002] For example, Patent Document 1 proposes a technique for generating a business plan using the business information of competitors related to one's own business.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, there is room for improvement in the conventional methods in terms of analyzing the value of one's own company and generating useful information.

[0005] Therefore, the present disclosure has been made in view of the above problems, and an object thereof is to provide an information processing system, an information processing method, and a program capable of analyzing the value of a company and generating useful information.

Means for Solving the Problems

[0006] According to the present disclosure, based on input information from a user regarding the business content of a user company, a management analysis process for performing a management analysis of the user company using a first generative AI, a prediction scenario generation process for generating future prediction scenario information for the user company using a second generative AI based on the analysis information obtained by the management analysis process and market information for each industry type stored in advance, and an output process for outputting the generated prediction scenario information, and an information processing system including a control unit that executes the processes is provided.

[0007] Also, according to the present disclosure, based on input information from a user regarding the business content of a user company, an operation analysis process for performing operation analysis of the user company using a first generative AI, a prediction scenario generation process for generating future prediction scenario information for the user company using a second generative AI based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance, and an output process for outputting the generated prediction scenario information are executed by a control unit of an information processing system, and an information processing method is provided.

[0008] Also, according to the present disclosure, based on input information from a user regarding the business content of a user company, an operation analysis process for performing operation analysis of the user company using a first generative AI, a prediction scenario generation process for generating future prediction scenario information for the user company using a second generative AI based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance, and an output process for outputting the generated prediction scenario information are caused to be executed by a control unit of an information processing system, and a program is provided.

Advantages of the Invention

[0009] According to the present disclosure, it is possible to provide an information processing system, an information processing method, and a program capable of analyzing the value of a company and generating useful information.

Brief Description of the Drawings

[0010]

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Embodiments for Carrying Out the Invention

[0011] Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In this specification and the drawings, components having substantially the same functional configuration are denoted by the same reference numerals, and redundant description is omitted.

[0012] FIG. 1 shows an example of the information processing system according to the present embodiment. This system 1 includes an information processing apparatus 10 and a user terminal 20, and can communicate via a network NW.

[0013] The information processing apparatus 10 is a server apparatus used when a system administrator or the like operates and manages various services. For example, it may be a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing technology.

[0014] As shown in FIG. 2, for example, the information processing apparatus 10 includes a control unit 11, a storage unit 12, an input unit 13, an output unit 14, and a communication unit 15.

[0015] As shown in FIG. 3, for example, 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 used by a user who performs input / output of various types of information. For example, it is a smartphone, a tablet computer, a personal computer, or the like. The user can access the information processing apparatus 1, for example, by an application executed on the user terminal or a web browser.

[0016] When the information processing apparatus 1 receives various commands (requests) from other information processing apparatuses or the like via the input unit 13 or the communication unit 15, the control unit 11 executes processing by a program, and the processing result of the program (for example, an image, voice, etc.) is sent to the output unit 14 or other information processing apparatuses or the like. Alternatively, the information processing apparatus 1 receives various commands (requests) from other information processing apparatuses or the like via the communication unit 15, and transmits the processing result of the program executed by the control unit 11 to the other information processing apparatuses or the like. Note that a part of the above program may be transmitted to another information processing apparatus and executed on the other information processing apparatus. In this case, the other information processing apparatus (user terminal 2) can be, for example, a smartphone, a mobile phone terminal, a tablet terminal, a personal computer, or the like, and is connected to the information processing apparatus 1 wirelessly or by wire via a network such as the Internet.

[0017] The control units 11 and 21 transfer data between the respective units and control the entire game server 1. For example, they are realized by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or a GPU (Graphics Processing Unit) executing a program stored in a predetermined memory.

[0018] The memory units 12 and 22 store various types of data and programs, such as hard disk drives, solid state drives, flash memories, etc.

[0019] The input units 13 and 23 are for users or system administrators to input various data, and are realized by, for example, keyboards, mice, touch panels, buttons, microphones, etc.

[0020] The output units 14 and 24 output various types of information generated by the control unit 11. The output units are, for example, liquid crystal displays (LCDs), touch panels, printers, speakers, etc.

[0021] The communication units 15 and 25 are for communicating with other information processing devices, and have the function of a receiving unit that receives various data and signals transmitted from other information processing devices, etc., and the function of a transmitting unit that transmits various data and signals to other information processing devices, etc. according to the commands of the control unit. The communication units are realized by, for example, NICs (Network Interface Cards), adapters for connecting to Ethernet (registered trademark), modems for connecting to the public telephone network, wireless communication devices for performing wireless communication, USB (Universal Serial Bus) connectors and RS232C connectors for serial communication, etc.

[0022] 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 memory unit 12 can function as an element information storage unit 121 and an output information storage unit 122.

[0023] The information acquisition unit 111 acquires various types of information used to generate output data. The information to be acquired may include input information by users or system administrators, etc., and information acquired from external systems via networks such as the Internet (for example, information on a company's homepage, Web information such as SNS, etc.).

[0024] The information generation unit 112 generates output information based on the input information and the information in the storage unit, and by appropriately inputting the input information into the generation model and further editing the generated information output by the generation model as necessary. The generation model may be implemented in the information processing apparatus 10 or may be implemented in another server accessible through a communication network, but is not limited thereto. When the generation model is implemented in the information processing apparatus 10, the information generation unit 112 inputs the prompt information into the generation model, and when the generation model is implemented in another server, the information generation unit 112 transmits the prompt information to the generation model via the network. The information generated by the information generation unit 112 may include information generated without using a generation AI. For example, according to the industry type information of the user company, information stored in advance in the storage unit in association with the industry type information may be output (without going through the generation AI). The generation conditions for such output information (generated information) are stored in the storage unit in advance.

[0025] The element information storage unit 121 stores various element information including performance data and the like used for generating output data. The element information storage unit 121 can store information input in advance by the system administrator, input information of the user, and the like.

[0026] 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, voice information, and the like.

[0027] When the information processing apparatus 10 generates various types of information using a generative AI, a prompt is generated based on the information acquired by the information acquisition unit 111 (alternatively, based on a pre-stored prompt or the input prompt itself). If it is text information, the information generation unit 112 inputs the prompt into a text generation model (e.g., a large language model such as ChatGPT). If it is an image or design, the information generation unit 112 inputs the prompt into an image generation model, and then generates the information. The generation model may be, for example, a model that receives a specific input vector or random noise given as input and generates an image from that information. The generation model includes, for example, a generator. The generator converts the input information into appropriate features and patterns and then 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 architectures, although other architectures are also available.

[0028] As shown in FIG. 4, the control unit 11 of this system executes a process of acquiring information of the user company (S1), a business analysis process (S2), a process of generating a prediction scenario (S3), and an output process (S4). Note that, for example, if business analysis has been performed in advance, S2 may be omitted and S3 may be executed, or any of the steps may be omitted according to the information obtained.

[0029] In step S1, the control unit 11 acquires information of the user company including the business content of the user company. For example, as shown in FIG. 5, a 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 made by selecting from options of business content stored in advance. The business content is, for example, "industry type" information indicating the types of products, services, etc. provided by the user company (business operator). The business content information may be divided into a plurality of (not limited to two levels, may be three levels or more) input items step by step (systematically) like "major category" 51 and "minor category" 52 as in the example of FIG. 5, or may be only a single input item. It is preferable that each option such as "major category" and "minor category" is stored in advance in association. For example, in the example of FIG. 5, when "real estate" is selected in the major category, options (detached house development, condominium development, office building development, etc.) associated with "real estate" in the major category are selectable in the minor category. The industry type is not particularly limited, but may include, for example, in addition to "real estate", "manufacturing", "retail", "wholesale", "food service", "accommodation", "service", "IT", "advertising", "finance", "consulting", "government agency", "transportation", "agriculture", "forestry", "fisheries", etc.

[0030] Here, a database that is pre-stored is registered in the memory unit. The database contains market data for each industry of enterprises. The market data includes information on the history (performance) up to the present, including the past of each industry, and future prediction information (business opportunities, risks, etc.). The past information may include, for each industry, market size (such as the market size in yen in 2000), the number of related enterprises, information on each enterprise (corporate philosophy, capital, date of establishment, changes in the number of employees, total market value, stock price, business content, organizational information, performance (sales, profit), specific measures (efforts), press release information, homepage information, SNS information, etc.), which are associated with temporal information such as date and time, period, etc. The information on each industry and each enterprise may be stored in a time series in association with the date and time information. The future prediction information may include, for example, market prediction data published by government agencies, think tanks, etc. Alternatively, the control unit may predict various information for each industry at a predetermined time point (one year later, three years later, five years later, etc.) based on the time series transition information up to the present, and store it in the memory unit. For example, the control unit may input a prompt such as "Please estimate the market size of the real estate industry 10 years later." into a known generative AI model, and accumulate the information obtained by acquiring the estimated information from the output information.

[0031] The database is pre-stored in the memory unit of the information processing apparatus 10 or an external device, and is updated as appropriate. The update of the database (addition, arrangement, deletion, etc. of data) may be performed in response to a user's input operation, or may be automatically performed by the control unit based on publicly available information that can be referenced via a network. For example, the control unit 11 may access the homepages of each enterprise and government agency, etc. regularly, such as once a day or once a week, to acquire various information and update the database.

[0032] 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 a generative AI. When using a generative AI, 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 generative 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 describes the overview of the industry corresponding to the business content. The market environment information 55 indicates information on the market environment of the industry corresponding to the business content, and is information that quantitatively and qualitatively describes whether the market scale is expanding or shrinking. The competitive environment 56 is information that quantitatively and qualitatively describes the presence or absence of competition, company names, shares, and trends of each company in the industry corresponding to the business content.

[0033] 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 a generative AI. When using a generative AI, the control unit can output information obtained by inputting a prompt such as "Please output business opportunities (policies of countries and local governments, etc.) in the detached house development industry" to the generative AI according to the user's business content information. In this example, a plurality (two) of business opportunity information 57a, 57b are displayed and the user is asked to select one of them (in FIG. 6, the option of 57a is selected.) to further improve the accuracy of analysis. However, only one business opportunity information may be displayed, or three or more may be displayed, or it may simply be displayed without allowing the user to select.

[0034] As shown in FIG. 6, the control unit 11 may display business risk information 58a and 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 generative AI. When using the generative AI, the control unit can output information obtained by inputting a prompt such as "Please output the business risks (competition situation, labor shortage, market shrinkage, etc.) in the detached house development industry" to the generative AI according to the user's business content information. In this example, a plurality (two) of business risk information 58a and 58b are displayed and the user is asked to select one of them (in FIG. 6, the option of 58b is selected). This is a configuration to further improve the accuracy of analysis. However, only one piece of business opportunity information may be displayed, or three or more pieces may be displayed. Also, it may simply be displayed without allowing the user to select. In this system, by the control unit presenting a plurality of options to the user and asking the user to select one of them, the understanding of the user company can be enhanced and the accuracy of the output can be improved.

[0035] After acquiring the enterprise information as described above, the control unit 11 executes a business analysis process S2 for performing a business analysis of the user enterprise using the first generation AI based on the input information from the user. For example, as shown in FIG. 7, the control unit presents a plurality of pieces of question information 61 stored in advance according to the business content of the user enterprise to the user, and outputs, as analysis information, the information obtained by inputting the user's answer information 62 to the plurality of questions into the first generation AI. Note that the control unit is not limited to the above method, and may perform a business analysis of the user enterprise based on the business content information of the user enterprise and the market information associated with the business content stored in the storage unit in advance. In that case, the control unit inputs the business content information of the user enterprise and the business content stored in the storage unit in advance to the first generation AI, and then instructs the generation AI with a prompt for outputting the analysis result of the user enterprise, thereby obtaining the analysis result. Further, the control unit may also acquire enterprise information (such as the number of employees, capital, business performance information such as sales, etc.) from a homepage or the like based on the user's input and let the generation AI refer to it.

[0036] The question information 61 is stored in association with the business content (e.g., sub-category) and organizational functions (e.g., management planning, sales, manufacturing, etc.) of the user company, and is presented to the user in order from Q1. It is preferable that there be a plurality of questions, for example, 20 or more questions for each organizational function. In the example of FIG. 7, the user can input the answer information 62 in six levels as answer options, but it is not limited to this, and it may be five levels or less or seven levels or more. In the example of FIG. 7, a help icon 63 is displayed. When the user selects the help icon 63 by an operation such as 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, by presenting the explanation information pre-stored in the control unit 11 according to the user's input, the convenience of the user can be enhanced. Note that the explanation of the answer information displayed as a result of selecting the help icon 63 is, for example, that the relevance to the question being "0" means "a state with no vision at all", "1" means, for example, "there is a vision to some extent, but the strategy cannot be executed", "2" means "the strategy is being executed to some extent, but there are variations among employees", and so on.

[0037] When the control unit 11 acquires the answer information for each question from the user as described above, it inputs the information corresponding to the answer information (information pre-stored in the storage unit) into the generation AI. Specifically, for example, when the user selects "4" for the above Q1 in FIG. 7, the control unit acquires information (e.g., the user company currently has a clear vision, has started to execute an aggressive strategy based on the management philosophy, but the accuracy is insufficient, etc.) associated with the answer information (the option selected by the user) from the storage unit. Then, it inputs this information into the generation AI, inputs a prompt for instructing the generation AI to perform a business analysis of the company based on these answer information, and acquires output information from the generation AI.

[0038] The analysis results of S2 are output as shown in, for example, FIG. 8. In the example of FIG. 8, as analysis result information, there are five pieces of "management index analysis result" information 65 of "leadership", "management", "operation (system)", "operation (mechanism)", and "IT·DX", information 66 of "current issues" shown in the text, and information 67 of "matters to be solved and challenged in the future". The number and types of these analysis result items are stored in the storage unit in advance, and each result information can be the 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 the information standardized according to the output information. Note that the "management index analysis result" information 65 may be, for example, a radar chart of a polygon (such as a pentagon), or may be output in a figure such as a bar graph. Regarding the information 66 of "current issues" and the information 67 of "matters to be solved and challenged in the future", instead of or in addition to the text, the control unit 11 may cause the generation AI to output the image generated by the generation AI.

[0039] Based on the analysis information obtained by the management analysis process and the market information for each industry type stored in advance, the control unit 11 executes a process (S3) of generating a prediction scenario for generating future prediction scenario information for the user company using the second generation AI. Note that the second generation AI may be the same as the first generation AI or a different generation AI.

[0040] The control unit 11 inputs, for example, the information 66 of the above "current issues" and the information 67 of "matters to be solved and challenged in the future" as analysis information (results of the analysis process), and the market information for each industry type stored in advance (such as market prediction data for the detached house development market) into the generation AI. Also, a prompt for generating future prediction scenario information for the user company based on the information is input into the generation AI, and by causing the generation AI to output, the future prediction scenario information for the user company is generated.

[0041] Then, the control unit 11 executes an output process (S4) for outputting prediction scenario information. As shown in FIG. 9, the prediction scenario information generated by the second generation AI is, for example, a text (article) regarding a future prediction scenario for a predetermined period, but may include a graph based on quantitative numerical values, an image such as a related illustration, or the like. In the example of FIG. 9, the control unit generates and outputs a plurality of prediction scenario information (future scenarios) with different prediction periods. In the example of FIG. 9, short-term prediction scenario information 68 from one year later to two years later from the present and medium- to long-term prediction scenario information 69 from three years later to five years later are shown. A plurality of prediction scenario information with different prediction periods may be shown in three or more periods such as short term, medium term, and long term. In any case, the prediction period may be in units of several months, several years, or several decades. Thus, the condition information of the output prediction period is set in advance by a system administrator or the like and stored in the storage unit, and the control unit generates scenario information using the generation AI based on the condition information of the storage unit.

[0042] As described above, in the present embodiment, by generating prediction scenario information based on the management analysis information executed using the generation AI according to the business content of the user company and the market information, the future of the user company can be predicted. As a result, the user can obtain useful information in which the value of the company is analyzed by inputting predetermined information.

[0043] Here, as shown in FIG. 10, after the prediction scenario generation process (S13), the control unit 11 may execute a presentation process (S14) for presenting a plurality of options regarding future policies stored in advance to the user, and a prediction scenario regeneration process (S15) for regenerating the prediction scenario information again based on the option selected by the user from the plurality of options regarding future policies presented.

[0044] As shown in FIG. 11, for example, the control unit 11 displays options 71a, 71b, 71c, etc., which are ideas to be incorporated as the future business direction, on the screen of the user terminal. The information of the options is stored in the storage unit in advance. The information of the options may be stored for each industry type, or may be common without being limited to the industry type. The number of options may be two or more, for example, five or more.

[0045] The control unit 11 inputs the option selected by the user (71a in the example of FIG. 11) into the second generation AI, generates a prompt for generating future scenario information based on the information of the option, and executes the output process (S16). In the example of FIG. 12, the regenerated short-term prediction scenario information 72 and the medium- and long-term prediction scenario information 73 are output.

[0046] When outputting the prediction scenario information generated in S3 and S13, or when outputting the prediction scenario information regenerated in S15, the control unit 11 may execute a process of presenting the case study information 74 (see FIG. 12) selected from the case study information of other companies stored in advance to the user together with the prediction scenario information. The selection of the case study information of other companies may be made, for example, according to the business content as the user company information. Specifically, all or part (a predetermined number) of the case studies of other companies in the same industry as the user company may be selected. Also, among the other companies in the same industry, cases of other companies with the same scale (determined under conditions such as the number of employees, capital, sales, etc. being in the same range as the user company), cases of other companies with a similar establishment year, etc. may be selected based on the conditions stored in the storage unit in advance, or a prompt may be input to the generation AI to output the information. The selection of the case study information of other companies may be made, for example, based on the analysis information as the result of the business analysis process, based on the information of the option selected by the user in S14, or based on the prediction scenario information. In any case, it may be selected based on the conditions stored in the storage unit in advance, or a prompt may be input to the generation AI to output the information.

[0047] The control unit 11 may present business opportunity information and risk information generated based on user company information and market information. For example, after the company information acquisition processes S1 and S11, the control unit 11 may refer to the storage unit to output (display on the screen) the business opportunity information and risk information associated with the industry selected by the user and pre-stored in the storage unit. With such a configuration, the user can easily grasp the business opportunities and risk information corresponding to the industry of their own company. These business opportunity information and risk information can be used as market information in the business analysis process and prediction scenario generation process by the generation AI.

[0048] In this embodiment, the user company information may include information regarding the business philosophy of the user company. The control unit can input (let it refer to) the information regarding the business philosophy to the generation AI and execute the business analysis process, thereby improving the accuracy of the business analysis of the user company. As a result, since the accuracy of the analysis information is improved, the accuracy of the subsequent prediction scenario information generation process can also be improved. The business philosophy may be, for example, text information input by the user company, or information obtained from the homepage of the user company or the like. The business philosophy may include at least any one of "mission (mission and value of existence)", "vision (desired future state)", and "value (values and action guidelines)".

[0049] In this embodiment, the user enterprise information may include information regarding the competitive strategy of the user enterprise. The information regarding the competitive strategy of the user enterprise may be used when generating future prediction scenario information for the user enterprise. That is, information regarding the competitive strategy of the user enterprise may be input into the second generation AI to generate prediction scenario information. In that case, scenarios based on the guidelines of the competitive strategy of the user enterprise can be predicted using the generation AI. The information regarding the competitive strategy is information regarding the strategy for the user enterprise to advance its business advantageously over competing companies. The information regarding the competitive strategy may include the information output by inputting (referencing) the business content of the user enterprise into the generation AI, or may include the information input or selected by the user. For example, the control unit may present options of competitive strategies stored in advance to the user and obtain it by having the user select one of them. Specifically, the competitive strategies include, for example, the following options, and may be presented by outputting the item and the explanatory text to the user's screen. · Technology leadership strategy: The technology leadership strategy refers to a strategy that can acquire a market by entering a market with a technology that can develop the market equally or more advantageously than the leading company in a field where the leading company does not have the technology, targeting objects that do not have the superiority of the leading company. · Exclusive development channel strategy: The exclusive development channel strategy refers to a strategy that seizes channels that the leader cannot select and makes use of the superiority obtained in a differentiated market. · Ultra-niche strategy: The ultra-niche strategy is a strategy to acquire a limited market with products or services targeted at specific customers who are not common. · Regional dominance strategy: The regional dominance strategy is a strategy to concentrate business development in a limited area so that even large companies cannot have their shares taken in that area. · Time domain strategy: The time domain strategy is a strategy to concentrate business within a limited time. Historically old companies can surround regular customers during the demand time zone, making it impossible for other companies to enter their business. · Small Market Strategy: The small market strategy refers to a market where the market size is too small for leading companies to enter, and thus there are many companies participating. It is a market where niche companies can enjoy profits. · Surviving Monopoly Strategy: The surviving monopoly strategy indicates a strategy where, when the market enters the decline stage of the product life cycle, the market shrinks, no more profits can be obtained, and the remaining companies enjoy profits within the limited market. · Limited Supply Premium Strategy: The limited supply premium strategy is a strategy of creating a sense of premium by intentionally restricting the production volume and supply volume to secure profits. · Full Customization Strategy: The full customization strategy is a strategy of providing products and services based on complete made-to-order.

[0050] In this embodiment, the market prediction information may include market data disclosed by a public institution or prediction data generated based on the market data. The prediction data generated based on the market data may be, for example, data obtained by estimating future values such as one year later, five years later, and ten years later based on past numerical values. Such an estimation process may be calculated by the control unit by applying past numerical values to a predetermined mathematical formula.

[0051] As described above, the preferred embodiments of the present disclosure have been described in detail with reference to the accompanying drawings. However, the technical scope of the present disclosure is not limited to such examples. It is obvious that those having ordinary knowledge in the technical field of the present disclosure can conceive of various modification examples or correction examples within the scope of the technical idea described in the claims, and these are naturally understood to belong to the technical scope of the present disclosure.

[0052] The apparatus described in this specification may be realized as a single apparatus, or may be realized by a plurality of apparatuses (such as a cloud server) partially or entirely connected by a network. For example, the control unit (such as the information generation unit 112, etc.) and the storage unit (such as the element information storage unit 121, etc.) of the information processing apparatus may be realized by different servers connected to each other by a network.

[0053] A series of processes by the apparatus described in this specification may be realized using any of software, hardware, and combinations of software and hardware. It is possible to create a computer program for realizing each function of the information processing apparatus according to this embodiment and install it on a PC or the like. Further, a computer-readable recording medium storing such a computer program can also be provided. The recording medium is, for example, a magnetic disk, an optical disk, a magneto-optical disk, a flash memory, or the like. Further, the above computer program may be distributed via a network, for example, without using a recording medium.

[0054] Also, the processes described in this specification using flowchart diagrams do not necessarily have to be executed in the order shown in the figures. Some processing steps may be executed in parallel. Also, additional processing steps may be adopted, and some processing steps may be omitted.

[0055] Also, the effects described in this specification are merely illustrative or exemplary and not restrictive. That is, the technology according to the present disclosure may exhibit other effects that are apparent to those skilled in the art from the description of this specification, together with or instead of the above effects.

[0056] Note that the following configurations also belong to the technical scope of the present disclosure. (Item 1) An operation analysis process for performing an operation analysis of the user company using a first generative AI based on input information from the user regarding the business content of the user company, A prediction scenario generation process for generating future prediction scenario information for the user company using a second generative AI based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance, An information processing system including a control unit that executes an output process for outputting the generated prediction scenario information. (Item 2) In the management analysis process, the control unit The information processing system according to item 1, which presents a plurality of questions prestored according to the business content of the user company to the user, and outputs, as the analysis information, information obtained by inputting the user's response information to the plurality of questions into the first generation AI. (Item 3) The control unit The information processing system according to item 1, which generates a plurality of prediction scenario information with different prediction periods in the prediction scenario generation process. (Item 4) After the prediction scenario generation process, the control unit A presentation process of presenting a plurality of options regarding future policies prestored to the user, and A prediction scenario regeneration process of regenerating the prediction scenario information again based on the option selected by the user from among the plurality of options regarding future policies presented, which is executed by the information processing system according to item 1 or 2. (Item 5) The control unit executes a process of presenting, to the user, the case study information selected based on the user company information or the analysis information from among the case study information of other companies prestored, together with the prediction scenario information, which is executed by the information processing system according to item 1 or 2. (Item 6) The control unit 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) The user company information includes information regarding the business philosophy of the user company, which is executed by the information processing system according to item 1 or 2. (Item 8) The user company information includes information regarding social issues or customer issues that the user company wants to solve, which is executed by the information processing system according to item 1 or 2. (Item 9) The user company information includes information regarding the customer value provided by the user company, which is executed by the information processing system according to item 1 or 2. (Item 10) The user company information is the information processing system according to Item 1 or 2, including information related to the competitive strategy of the user company. (Item 11) The market prediction information is the information processing system according to Item 1 or 2, including market data disclosed by a public institution or prediction data generated based on the market data. (Item 12) Based on input information from a user regarding the business content of the user company, an operation analysis process for performing an operation analysis of the user company using a first generation AI, Based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance, a prediction scenario generation process for generating future prediction scenario information for the user company using a second generation AI, An output process for outputting the generated prediction scenario information, which is executed by a control unit of the information processing system. An information processing method. (Item 13) Based on input information from a user regarding the business content of the user company, an operation analysis process for performing an operation analysis of the user company using a first generation AI, Based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance, a prediction scenario generation process for generating future prediction scenario information for the user company using a second generation AI, An output process for outputting the generated prediction scenario information, which causes a control unit of the information processing system to execute. A program.

Explanation of Signs

[0057] 1 Information processing system 10 Information processing device 20 User terminal

Claims

1. Based on input information from a user regarding the business content of the user company, an operation analysis process for performing an operation analysis of the user company using a first generative AI; Based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance, a prediction scenario generation process for generating future prediction scenario information for the user company using a second generative AI; An output process for outputting the generated prediction scenario information, and a control unit for executing the processes, After the prediction scenario generation process, the control unit A presentation process for presenting a plurality of options regarding business policies to be incorporated in the future, which are stored in advance, to the user; An information processing system that executes a prediction scenario regeneration process for regenerating prediction scenario information by inputting information on an option selected by the user from among the plurality of options regarding the presented business policies into the second generative AI and generating information on a future prediction scenario based on the information on the option.

2. In the operation analysis process, the control unit Presents a plurality of questions stored in advance according to the business content of the user company to the user, and outputs, as the analysis information, information obtained by inputting the user's response information to the plurality of questions into the first generative AI. The information processing system according to claim 1.

3. The control unit In the prediction scenario generation process, generates a plurality of prediction scenario information with different prediction periods. The information processing system according to claim 1.

4. The control unit executes a process of presenting, to the user, case information on initiatives selected based on the input information or the analysis information from among case information on initiatives of other companies stored in advance, together with the prediction scenario information. The information processing system according to claim 1 or 2.

5. The control unit Presents business opportunity information and risk information generated based on the input information and market information. The information processing system according to claim 1 or 2.

6. The input information includes information regarding the business philosophy of the user company. The information processing system according to claim 1 or 2.

7. The input information includes information regarding social issues or customer issues that the user company wishes to solve. The information processing system according to claim 1 or 2.

8. The input information includes information regarding customer value provided by the user company. The information processing system according to claim 1 or 2.

9. The information processing system according to claim 1 or 2, wherein the input information includes information related to the competitive strategy of the user company.

10. The information processing system according to claim 1 or 2, wherein the market information includes market data disclosed by a public institution or prediction data generated based on the market data.

11. An operation analysis process for performing an operation analysis of the user company using a first generative AI based on input information from a user regarding the business content of the user company; A prediction scenario generation process for generating future prediction scenario information for the user company using a second generative AI based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance; An output process for outputting the generated prediction scenario information, which is executed by a control unit of the information processing system, after the prediction scenario generation process, the control unit performs a presentation process of presenting a plurality of options regarding business policies to be incorporated in the future, which are stored in advance, to the user; An information processing method in which information on an option selected by the user from among the plurality of options regarding the presented business policies is input to the second generative AI, and the prediction scenario information is regenerated by a prompt for generating information on a future prediction scenario based on the information on the option.

12. An operation analysis process for performing an operation analysis of the user company using a first generative AI based on input information from a user regarding the business content of the user company; A prediction scenario generation process for generating future prediction scenario information for the user company using a second generative AI based on the analysis information obtained by the operation analysis process and market information for each industry type stored in advance; An output process for outputting the generated prediction scenario information, which is executed by the control unit of the information processing system, after the prediction scenario generation process, the control unit performs a presentation process of presenting a plurality of options regarding business policies to be incorporated in the future, which are stored in advance, to the user; A program in which information on an option selected by the user from among the plurality of options regarding the presented business policies is input to the second generative AI, and the prediction scenario information is regenerated by a prompt for generating information on a future prediction scenario based on the information on the option.

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