Information processing system, information processing method and program

Abstract

An information processing system, an information processing method, and a program are provided that can support transactions such as the buying and selling of organizations. [Solution] In an information processing system used by multiple buyers and buyer agents, and multiple sellers and seller agents, the control unit of the server device has an application acceptance unit that accepts applications for transactions with the organization from buyers or entities that are agents acting on behalf of buyers, for the organization that is the subject of the transaction; an information acquisition unit that acquires first information that includes at least information about the organization and second information that includes at least buyer information about the buyer that accepted the application; a compatibility information creation unit that inputs the first information and the second information into a compatibility information generation model, which is a generation AI; the compatibility information creation unit that causes the compatibility information generation model to output compatibility information indicating the suitability of the acquisition of the organization by the buyer that accepted the application; and a trading partner information display control unit that presents the compatibility information to at least one of the seller of the organization, the buyer of the organization, and the entity that is acting on behalf of the seller or buyer.

Description

[Technical Field]

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

[0002] Patent Document 1 discloses a technology that supports corporate M&A. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2024-121992 Summary of the Invention [Problem to be solved by the invention]

[0004] There is a need for technology to support transactions such as the buying and selling of tissue.

[0005] In view of the above circumstances, the present invention provides an information processing system and the like that can support transactions such as the buying and selling of tissues. [Means for solving the problem]

[0006] According to one aspect of the present invention, there is provided an information processing system comprising at least one processor, the processor being configured to execute the following steps by reading a program: an application acceptance step accepting an application for a transaction with an organization from a buyer or an entity acting on behalf of the buyer, the entity being the transaction agent; an information acquisition step acquiring first information including at least information about the organization and second information including at least buyer information about the buyer who accepted the application; a matching information creation step inputting the first information and the second information into a matching information generation model, which is a generation AI, and causing the matching information generation model to output matching information indicating the suitability of the acquisition of the organization by the buyer who accepted the application; and a trading partner information display control step presenting the matching information to at least one of the seller of the organization, the buyer of the organization, and the entity acting on behalf of the seller or buyer.

[0007] According to this embodiment, it is possible to provide relevant information regarding a transaction as material for consideration of the transaction in M&A. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a configuration diagram illustrating an information processing system 1. FIG. [Figure 2] 2 is a block diagram showing the hardware configuration of the server device 10. FIG. [Figure 3] 2 is a block diagram showing the hardware configuration of a buyer terminal 20 and a seller terminal 30. FIG. [Figure 4] 1 is a block diagram showing functions realized by a server device 10 (control unit 11), a buyer terminal 20 (control unit 21), and a seller terminal 30 (control unit 31). [Figure 5] FIG. 10 is a diagram showing an example of options for intentions regarding sale. [Figure 6] 10 is a diagram showing an example of a case display screen PD displayed on a buyer terminal 20. FIG. [Figure 7] 10 is a diagram showing another example of the item display screen PD displayed on the buyer terminal 20. FIG. [Figure 8]10 is a diagram showing an example of an application display screen AD displayed on seller terminal 30. FIG. [Figure 9] FIG. 10 is a diagram showing an example of a buyer company display screen BD displayed on the seller terminal 30. [Figure 10] 10 is a diagram showing another example of the buyer company display screen BD displayed on the seller terminal 30. FIG. [Figure 11] 1 is an activity diagram showing an example of the flow of information processing (matching information display processing) executed by the information processing system 1. FIG. DETAILED DESCRIPTION OF THE INVENTION

[0009] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below with reference to the accompanying drawings. Various features shown in the following embodiments can be combined with each other.

[0010] Incidentally, the program for realizing the software appearing in one embodiment may be provided as a non-transitory computer-readable medium, or may be provided so that it can be downloaded from an external server, or may be provided so that the program is started on an external computer and its functions are realized on a client terminal (so-called cloud computing).

[0011] Furthermore, various information processing according to an embodiment may realize input and output corresponding to the input. Here, the form of information referenced in such information processing (hereinafter referred to as reference information) is not limited as long as an output is obtained as a result of the input. The reference information may be, for example, rule-based information such as a database, a lookup table, or a predetermined function (including a decision formula such as a regression formula constructed using a statistical method), a trained model that has previously learned the correlation between input and output, or a generative AI such as a large-scale language model (these models include parameters that establish the correlation between input and output) or a visual language model that can output a desired result in response to a prompt.

[0012] In one embodiment, a "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In one embodiment, various information is handled, and this information is represented, for example, by physical values ​​of signal values ​​representing voltage and current, high and low signal values ​​as a binary bit set consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculations can be performed on a circuit in the broad sense.

[0013] Furthermore, a circuit in the broad sense is a circuit realized by at least an appropriate combination of a circuit, circuitry, processor, memory, etc. The processor may be a general-purpose processor or a dedicated circuit. That is, it includes an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)), etc.

[0014] 1. Hardware Configuration This section explains the hardware configuration.

[0015] <Information Processing System 1> 1 is a configuration diagram showing an information processing system 1. The information processing system 1 includes a communication line 2, a server device 10, a plurality of buyer terminals 20, and a plurality of seller terminals 30. The server device 10, the buyer terminals 20, and the seller terminals 30 are configured to be able to communicate with each other via the communication line 2. The connection between the server device 10, the buyer terminals 20, and the seller terminals 30 may be wired or wireless.

[0016] The information processing system 1 constitutes at least a part of an M&A (Merger & Acquisitions) system used, for example, by multiple buyers U1 and buyer agents U2, and multiple sellers U3 and seller agents U4. The information processing system 1 mainly performs functions such as registering organizations with which sellers (or seller agents) are to transact, searching for organizations with which buyers (or buyer agents) are to transact, and mediating communication between buyers (or buyer agents) and sellers (or seller agents). For example, the information processing system 1 provides and manages an M&A matching platform and M&A matching services used by buyers (or buyer agents) and sellers (or seller agents). In one embodiment, the information processing system 1 comprises one or more devices or components. These components are described below.

[0017] <Server device 10> Fig. 2 is a block diagram showing the hardware configuration of server device 10. As shown in Fig. 2, server device 10 includes a control unit 11, a storage unit 12, a communication unit 13, and a communication bus 14. Control unit 11, storage unit 12, and communication unit 13 are electrically connected within server device 10 via communication bus 14.

[0018] <Control unit 11> The control unit 11 processes and controls the overall operations related to the server device 10. The control unit 11 is, for example, a central processing unit (CPU). The control unit 11 realizes various functions related to the server device 10 by reading out predetermined programs stored in the storage unit 12. In other words, information processing by software stored in the storage unit 12 is specifically realized by the control unit 11, which is an example of hardware, and can be executed as each functional unit included in the control unit 11. These will be described in more detail in the next section. Note that the control unit 11 is not limited to being a single unit, and the server device 10 may have multiple control units 11 for each function. Furthermore, the server device 10 may be configured with a combination of these.

[0019] <Storage section 12> The memory unit 12 stores various pieces of information defined above. This can be implemented, for example, as a storage device such as a solid state drive (SSD) that stores various programs and the like related to the server device 10 executed by the control unit 11, or as a memory such as a random access memory (RAM) that stores temporarily required information (arguments, arrays, etc.) related to the program operations. The memory unit 12 stores various programs, variables, etc. related to the server device 10 executed by the control unit 11.

[0020] <Communications Department 13> The communication unit 13 is preferably a wired communication means such as USB, IEEE1394, Thunderbolt (registered trademark), or wired LAN network communication, but may also include wireless LAN network communication, mobile communication such as LTE / 5G, or BLUETOOTH (registered trademark) communication as needed. That is, it is more preferable to implement it as a collection of multiple communication means. That is, the server device 10 may communicate various information from the outside via the communication unit 13 and the network.

[0021] The server device 10 may be an on-premise server or a cloud server. The cloud server device 10 may provide the above-described functions and processes in the form of, for example, SaaS (Software as a Service) or cloud computing.

[0022] <Buyer terminal 20> FIG. 3 is a block diagram showing the hardware configuration of the buyer terminal 20 and the seller terminal 30. The buyer terminal 20 is an information processing terminal used by the buyer or a buyer agent. A "buyer" is an organization that wishes to acquire the organization that is the target of a transaction (hereinafter referred to as the "transaction target organization"), which will be described later, through purchase or other means. Buyers include organizations such as for-profit corporations (e.g., companies), non-profit corporations (e.g., cooperatives, incorporated foundations), and public corporations (e.g., local governments) or their personnel. A "buyer agent" is an entity that acts on behalf of the buyer in transactions with the target organization (e.g., a partner agency company or its personnel).

[0023] 3A, buyer terminal 20 includes control unit 21, memory unit 22, communication unit 23, input unit 24, output unit 25, and communication bus 26. Control unit 21, memory unit 22, communication unit 23, input unit 24, and output unit 25 are electrically connected via communication bus 26 inside buyer terminal 20. Description of control unit 21, memory unit 22, and communication unit 23 will be omitted as they are the same as the descriptions of each unit in server device 10.

[0024] <Input section 24> The input unit 24 accepts operation inputs made by the user. The operation inputs are transferred as command signals to the control unit 21 via the communication bus 26. The control unit 21 can execute predetermined control or calculations based on the transferred command signals as necessary. The input unit 24 may be included in the housing of the buyer terminal 20 or may be attached externally. For example, the input unit 24 may be implemented as a touch panel integrated with the output unit 25. When the input unit 24 is implemented as a touch panel, the user can input tap operations, swipe operations, etc. to the input unit 24. Instead of a touch panel, a switch button, a mouse, a trackpad, a QWERTY keyboard, etc. can be used as the input unit 24.

[0025] <Output section 25> The output unit 25 displays a graphical user interface (GUI) screen that can be operated by the user. The output unit 25 may be included in the housing of the buyer terminal 20 or may be attached externally. Specifically, the output unit 25 may be implemented as a display device such as a CRT display, a liquid crystal display, an organic EL display, or a plasma display. It is preferable that these display devices are used appropriately depending on the type of buyer terminal 20.

[0026] <Seller terminal 30> The seller terminal 30 is an information processing terminal used by the seller or a seller's agent. A "seller" is an organization that wishes to conduct a transaction related to the target organization. A "transaction related to the target organization" includes, for example, the transfer (acquisition) of the target organization, a business alliance within the target organization, a capital alliance within the target organization, a merger of the target organization, the establishment of a joint venture (JV) related to the target organization, and capital participation related to the target organization. For example, if the transaction involves the establishment of a JV, the buyer and seller may be interpreted as the first transaction party and the second transaction party, respectively.

[0027] Sellers include organizations such as for-profit corporations, non-profit corporations, and public corporations, as well as their personnel. A "seller's agent" is an entity (e.g., a partner agency or its personnel) that acts on behalf of the seller in the transaction with respect to the target organization.

[0028] 3B, seller terminal 30 includes control unit 31, memory unit 32, communication unit 33, input unit 34, output unit 35, and communication bus 36. Control unit 31, memory unit 32, communication unit 33, input unit 34, and output unit 35 are electrically connected via communication bus 36 inside seller terminal 30. Description of control unit 31, memory unit 32, communication unit 33, input unit 34, and output unit 35 will be omitted as they are the same as the descriptions of the respective units in buyer terminal 20.

[0029] 2. Functional configuration This section describes the functional configuration of this embodiment. Information processing by software stored in the storage unit 12 is specifically realized by the control unit 11, which is an example of hardware, and can be executed as each functional unit included in the control unit 11 (at least one processor included in the information processing system 1).

[0030] FIG. 4 is a block diagram showing functions realized by the server device 10 (controller 11), the buyer terminal 20 (controller 21), and the seller terminal 30 (controller 31).

[0031] As shown in FIG. 4A, the server device 10 (control unit 11) includes a basic display control unit 110, a user registration unit 111, a case registration reception unit 112, a search unit 113, an application reception unit 114, a request reception unit 115, an information acquisition unit 116, a matching information creation unit 117, a trading partner information display control unit 118, an organization presentation unit 119, and an artificial intelligence unit 120.

[0032] As shown in Fig. 4B, buyer terminal 20 (control unit 21) includes display unit 211 and operation acquisition unit 212. As shown in Fig. 4C, seller terminal 30 (control unit 31) includes display unit 311 and operation acquisition unit 312.

[0033] <Basic display control unit 110> The basic display control unit 110 is configured to display various information on the buyer terminal 20 or the seller terminal 30. For example, in response to a request from each user (buyer U1, buyer agent U2, seller U3, or seller agent U4), the basic display control unit 110 displays information such as the transaction target organization, seller (or seller agent), and buyer (or buyer agent) registered in the database on the display unit 211 of the buyer terminal 20 or the display unit 311 of the seller terminal 30.

[0034] <User Registration Section 111> The user registration unit 111 is configured to register each of the seller, the buyer, and the entity acting on behalf of the seller or the buyer (seller agent and buyer agent) as a user of the organized trading platform.

[0035] The user registration unit 111 accepts input or upload of information required for registration from the respective terminals of sellers, buyers, seller agents, and buyer agents, and registers the accepted information as registration information in the user database. The registration information for each seller, buyer, seller agent, and buyer agent includes at least basic information such as the organization name (company name, etc.), representative name, location, and contact information for the representative. The user registration unit 111 may be configured to accept registration of only sellers and buyers as users of the organizational trading platform.

[0036] The seller's registered information includes basic information as well as seller attributes such as the seller's industry, business activities, organizational size (number of employees, etc.), selling points of the seller, and financial information of the seller. The buyer's registered information includes the same basic information as the seller's, as well as the buyer's industry, business activities, organizational size, selling points of the seller, and financial information of the buyer, as well as buyer attributes such as the fiscal year end, year of establishment, M&A background, M&A track record, purpose of acquiring the target organization (purpose of the M&A), and M&A conditions. "M&A conditions" include, for example, the industry of the target organization (organization desired to be acquired), the sales revenue of the target organization, the financial condition of the target organization, the investment budget, and the expected payback period.

[0037] <Case Registration Reception Department 112> The deal registration receiving unit 112 is configured to receive deal registration of a transaction target organization to the organizational transaction platform from a seller or an entity acting on behalf of the seller (seller agent).

[0038] A "transaction target organization" is an organization that is the subject of a transaction, such as an organization that the seller wishes to transfer to the buyer. The transaction target organization may be a corporation (profit corporation, non-profit corporation, public corporation, etc.) or an organization without legal personality, or it may be an organization or business owned by a corporation or organization. For example, the transaction target organization may be the seller organization itself, or a specific business belonging to the seller organization.

[0039] Transaction forms of the target organization include, for example, stock transfers and business transfers. A stock transfer is a transaction form in which all or some of the target organization's shares are transferred to the buyer. A business transfer is a transaction form in which all or some of the target organization's business is transferred to the buyer.

[0040] The deal registration reception unit 112 accepts input or upload of information required for registering the target organization from the seller terminal 30, and registers the accepted information as deal information in the deal database. The deal information includes, for example, the name of the target organization (deal title), the desired transaction type, a business overview of the target organization, the target organization's selling points, the target organization's industry, the target organization's location, the target organization's financial information, the number of employees of the target organization, the sale conditions (desired sale price, desired sale timing, etc.), and the intention regarding the sale (reason for sale, points to be emphasized in the sale, etc.). The deal information may also include information about the seller's agent who will act on the transaction.

[0041] The deal registration receiving unit 112 may receive input of "intention to sell" from the seller (or seller's agent) by presenting options indicating the intention to sell and selecting from the options. The options may have a hierarchical structure including a first option indicating a category and a second option indicating specific content of the first option. Furthermore, the first option may have a hierarchical structure of a higher category and a lower category. The options may also include a free-form comment field. Note that "intention to sell" may be interpreted as "intention to trade," "intention to M&A," etc. Furthermore, "intention to sell" may include information such as the purpose, background, and desired conditions of the sale.

[0042] FIG. 5 is a diagram showing an example of options for intentions regarding the sale. FIG. 5 shows three categories, a first category C1, a second category C2, and a third category C3, and examples of subcategories CS (such as "use of funds" and "desired amount of funds" under "securing funds") included in each of the categories C1-C3 (such as "securing funds," "poor performance," and "business growth"), as well as options OP included in the subcategories CS. The options OP may include an item such as "Other (please specify)," which represents a free-form field. Options requiring numerical values ​​such as "yen" accept numerical input. In addition to the options shown in FIG. 5, options regarding intentions regarding the sale may include options such as "no successor," "retirement of representative," and "selection and concentration of the company's business."

[0043] When the transaction type is a stock transfer, the financial status of the target organization includes, for example, balance sheets, cash and deposits, total assets and interest-bearing liabilities, total liabilities, net assets, income statements, sales, operating profit, ordinary profit, net income, depreciation, EBITDA (Earnings Before Interest Taxes Depreciation and Amortization), executive compensation, etc. When the transaction type is a business transfer, the financial status of the target organization includes, for example, balance sheets, business assets, business liabilities, business sales, business profits, etc.

[0044] The deal registration reception unit 112 may accept from the seller or an entity acting on behalf of the seller (seller agent) a choice of a provisional reception state in which the buyer's real name is displayed based on a request from the seller or an entity acting on behalf of the seller (seller agent) to display the real name, or a full reception state in which the buyer's real name is always displayed, as the reception state for an application from a buyer (or buyer agent) for a transaction with a trading target organization.

[0045] For example, when registering a deal with a trading partner organization, the deal registration receiving unit 112 receives an input (selection) of the acceptance status from the seller terminal 30, links the acceptance status to the deal information, and registers it in the deal database. Note that the acceptance status does not have to be input (selected) simultaneously with the deal registration, and may be input at any time.

[0046] The "current acceptance state" is a state in which an application for transaction negotiations from a buyer (or a buyer agent) is accepted by the application acceptance unit 114, which will be described later. Also, for example, in the current acceptance state, a seller (or a seller agent) recruits a buyer (or a buyer agent) for the purpose of negotiations in order to specifically proceed with the transaction.

[0047] In this acceptance state, when an application for transaction negotiations is accepted, the buyer's real name is notified to the seller. The buyer (or a buyer's agent) applies for transaction negotiations to the target organization in this acceptance state with the aim of starting negotiations. An "application for transaction negotiations" may be interpreted as an "application for an interview," etc., and may also be a statement of interest to the seller in the target organization.

[0048] When accepting a transaction negotiation request from a trading target organization in this acceptance state, the deal registration acceptance unit 112 may consume resources required for the buyer (or buyer agent) to submit a transaction negotiation request. The resources include, for example, negotiation tickets stocked by purchasing or granting from the platform provider, and the right to send a negotiation request available on the platform (representing the number of times it can be sent).

[0049] The "provisional acceptance state" is a state before the actual acceptance state, in which the application acceptance unit 114 accepts an application for negotiation from a buyer (or buyer agent) in advance (before the actual acceptance state is reached). The "provisional acceptance state" may be read as the "advance acceptance state."

[0050] A buyer (or buyer's agent) who has made an application for preliminary negotiations regarding a target organization in provisional acceptance status will receive a notification that the target organization has transitioned to a formal acceptance status when the provisional acceptance status is transitioned to a formal acceptance status. An "application for preliminary negotiations" is a broader concept than an "application for transaction negotiations" for a formal acceptance status (it also includes an expression of interest in the target organization).

[0051] For example, a buyer (or a buyer's agent) may request preliminary negotiations with a target organization in a provisional acceptance state in order to quickly submit a request for negotiations with the target organization. Furthermore, a seller (or a seller's agent) may register a target organization in a provisional acceptance state in order to determine how many buyers (or buyer's agents) are interested in the target organization or who may make an application before the target organization enters a formal acceptance state. Note that a request for preliminary negotiations with a target organization in a provisional acceptance state does not require the consumption of resources required for submitting a request for negotiations.

[0052] The provisional acceptance state as a status of a transaction target organization further includes an anonymous display state and a real name display state. The "anonymous display state" is a state in which the request acceptance unit 115, described below, has not accepted a request for real name display from the seller (or seller's agent). In an application to a transaction target organization in the anonymous display state, the buyer's real name is not displayed to the seller (or seller's agent), and an application for negotiation from the buyer (or buyer's agent) is notified to the seller (or seller's agent) anonymously. The "real name display state" is a state in which the request acceptance unit 115, described below, has accepted a request for real name display from the seller (or seller's agent). In an application to a transaction target organization in the real name display state, the buyer's real name is displayed to the seller (or seller's agent).

[0053] The case registration reception unit 112 may allow the seller to select the official reception state if the case information of the trading target organization satisfies certain conditions (tradable conditions), and may allow the seller to select only the provisional reception state if the conditions (tradable conditions) are not met.

[0054] The "transaction conditions" include, for example, the degree of fulfillment of the project information (e.g., "whether specified required items are registered as project information"), the presence or absence of an exclusive contract (e.g., "whether a contract has been concluded with a specific intermediary to exclusively handle the transaction"), etc. For a transaction target organization in the provisional acceptance state, if the transaction conditions are fulfilled by the seller (or seller's agent) fulfilling the project information, concluding an exclusive contract, etc., the project registration acceptance unit 112 accepts from the seller (or seller's agent) the switching of the transaction target organization to the official acceptance state.

[0055] An "intermediary" is a company or its person (external expert) that supports organizational transactions (M&A). In cases (transaction target organizations) for which an exclusive contract (e.g., an advisory contract) has been concluded, the intermediary who has concluded the contract exclusively provides advice, agency services, etc. in negotiations between the seller (or seller's agent) and the buyer (or buyer's agent), the conclusion of transfer agreements, etc. Typically, the intermediary may be a provider of an organizational transaction platform. Note that the "existence of an exclusive contract" in the transaction conditions may also be "whether or not there is a contract for the appointment of a transaction with a party (including a company or other organization) that provides and manages the M&A matching platform, M&A matching services, etc. provided by the information processing system 1."

[0056] <Search section 113> The search unit 113 is configured to execute a search for transaction target organizations registered in the transaction platform based on search conditions input by a buyer or an entity acting on behalf of a buyer (buyer agent).

[0057] The search unit 113 receives, for example, input from the buyer terminal 20, search conditions for project information registered in the project database (for example, search conditions based on keywords for the project title, user ID linked to the project, acceptance status, transaction type, industry, sales conditions, etc.). The search unit 113 searches for project information that meets the input search conditions, and presents the identified project information to the buyer terminal 20. Note that the input search conditions may be a combination of two or more conditions.

[0058] <Application Reception Section 114> The application receiving unit 114 is configured to receive an application for a transaction with a target organization from a buyer or an entity acting on behalf of a buyer (buyer agent).

[0059] "Applications for transactions" include, for example, applications for transaction negotiations for a project (transaction target organization) that is currently accepted, applications for preliminary negotiations for a project (transaction target organization) that is provisionally accepted, etc. "Transactions" also include acquisitions, mergers, business transfers, etc.

[0060] When the application acceptance unit 114 accepts an application for a transaction (application for transaction negotiation or advance negotiation), it sends a notification to the seller (or seller's agent) of the target organization that is the subject of the application, indicating that an application has been made to the target organization. In the case of an application for transaction negotiation, the application acceptance unit 114 accepts a reply to the application, an instruction to start negotiations, etc. from the seller (or seller's agent). On the other hand, in the case of an application for advance negotiation, the application acceptance unit 114 does not accept a reply from the seller (or seller's agent). Also, in the case of an application for advance negotiation, when the target organization that has applied for advance negotiation transitions to a main acceptance state (when acceptance of the application for transaction negotiation begins), the application acceptance unit 114 sends a notification to that effect to the buyer (or buyer's agent) that has applied for advance negotiation with the target organization.

[0061] The application receiving unit 114 may receive applications from buyers or entities acting on behalf of buyers (buyer agents) for transaction target organizations searched for by the search unit 113. For example, the buyer (or buyer agent) selects a transaction item with which the buyer wishes to transact from the search results searched for by the search unit 113, and inputs instructions for an application for the transaction item (application for transaction negotiation or advance negotiation) from the buyer terminal 20.

[0062] The application receiving unit 114 may also receive an application for a transaction target organization that has been presented to a buyer (or a buyer's agent) by an organization presentation unit 119, which will be described later.

[0063] 6 is a diagram showing an example of a project display screen PD displayed on the buyer terminal 20. The project display screen PD displays a project object PO indicating a project (transaction target organization) that a buyer (or buyer agent) can apply for. The project object PO displays project information such as the project title and the target organization's industry, location, sales terms (desired selling price, etc.), sales revenue, operating profit, number of employees, etc.

[0064] When an input operation is performed on any of the project objects PO, an application window AW is displayed in which an application for the corresponding project can be made. Note that Figure 6 shows the application window AW when a project in a provisional acceptance state is selected. The application window AW displays the project title, business information (business overview), etc. Furthermore, when the selected project is in a provisional acceptance state as shown in Figure 6, an advance acceptance label AL indicating that the project is in a provisional acceptance state and an advance negotiation acceptance button B11 are displayed in the application window AW. When an input operation is performed on the advance negotiation acceptance button B11, an application for advance negotiation for the project is accepted.

[0065] FIG. 7 is a diagram showing another example of the item display screen PD displayed on the buyer terminal 20. FIG. 7 shows an application window AW when an item in the formal acceptance state is selected. When the selected item is in the formal acceptance state as shown in FIG. 7, a message input field MI and a transaction negotiation acceptance button B21 are displayed in the application window AW. The message input field MI accepts input of a message addressed to the seller (or seller's agent) with whom the transaction will be negotiated. When an input operation is performed on the transaction negotiation acceptance button B21, an application for transaction negotiation for the item is accepted, and the message entered in the message input field MI is sent to the seller (or seller's agent).

[0066] Note that the message to the seller (or seller's agent) when applying for transaction negotiations may be entered by the buyer (or buyer's agent) not only by directly entering text but also by selecting a pre-prepared message template. Furthermore, entering a message in the message input field MI is not required, and a transaction negotiation application may be accepted without entering a message. For example, a transaction negotiation application may be accepted by pressing an application button displayed in place of the message input field MI and the transaction negotiation acceptance button B21. In this case, the sending of a message may be accepted after the transaction negotiation application is submitted.

[0067] <Request Receiving Unit 115> The request receiving unit 115 is configured to receive a request for real name display from a seller or an entity acting on behalf of the seller (seller's agent) for a buyer who has accepted an application for a transaction with a trading partner organization in a provisional acceptance state (i.e., an application for advance negotiations).

[0068] The request receiving unit 115 receives a request for real name display from a seller (or seller agent) for a transaction target organization in an anonymous display state for each transaction target organization. For example, when anonymous information of the buyer who made the offer (e.g., the buyer's real name and registered information of the buyer other than information that can identify the real name) is displayed on the seller terminal 30 of the seller (or seller agent) of a transaction target organization in an anonymous display state who has received an offer for advance negotiation, the request receiving unit 115 causes a request receiving object for receiving a request for real name display to be displayed on the seller terminal 30.

[0069] For a trading partner organization for which the request receiving unit 115 has received a request for real name display (i.e., the real name display state has been established), the real name of the buyer who made the application will be displayed in both applications received before the request was received and applications received after the request was received.

[0070] The request receiving unit 115 may receive a request for real name disclosure from a seller (or a seller's agent) on the condition that a contract is concluded to exclusively assign a specific intermediary to the transaction. This allows the seller (or seller's agent) to simultaneously conclude an exclusive contract with the intermediary and request the disclosure of the buyer's real name, thereby improving convenience for the seller (or seller's agent).

[0071] The request receiving unit 115 may receive a request for real name display (for example, pressing a view request acceptance button described later) as consent to a contract that assigns a specific intermediary to handle the transaction exclusively. For example, after pressing a button that accepts the request for real name display, the request receiving unit 115 may cause a screen presenting the contract details to be displayed on the seller terminal 30, and obtain consent from the seller terminal 30 by means of a check box, button, or the like.

[0072] <Information acquisition unit 116> The information acquisition unit 116 is configured to acquire first information including at least information on the transaction target organization (hereinafter referred to as "transaction item information") and second information including at least buyer information on the buyer whose application has been accepted.

[0073] The information acquisition unit 116 acquires the first information and the second information from, for example, a user database and a project database. The information acquisition unit 116 may also acquire public information about the transaction target organization, seller, or buyer as the first information or the second information by searching and crawling websites related to the transaction target organization, seller, or buyer.

[0074] The transaction project information includes at least a portion of the project information (for example, at least one of the transaction type, business overview of the target organization, selling points of the target organization, industry type of the target organization, location of the target organization, financial information of the target organization, number of employees of the target organization, terms of sale, and intention regarding the sale). In particular, the first information preferably includes the transaction type of the transaction desired by the seller.

[0075] The first information may include seller information about the seller of the transaction target organization in addition to the transaction project information. The seller information may include at least a portion of the seller's registered information (e.g., at least one of the information included in the seller's basic information, seller attributes, etc.). In particular, the seller information may include the seller's industry, the terms of sale of the organization, and the intention regarding the sale. The first information may also include basic information about the seller's agent.

[0076] The first information may further include the transaction history of the target organization. The "transaction history of the target organization" is information including, for example, buyers (or buyer agents) who have made an offer to the target organization, buyers (or buyer agents) who are negotiating about the target organization, and buyers (or buyer agents) who have registered the target organization on their bookmark list (i.e., who have become interested in the target organization). A "bookmark list" is a list of target organizations that a buyer (or buyer agent) has selected to bookmark (a label assigned to a candidate organization), and may also be called a "favorite list," etc. Target organizations that have been bookmarked are registered in a bookmark list prepared for each buyer (or buyer agent), for example.

[0077] The buyer information includes at least a portion of the buyer's registration information (e.g., at least one of the information included in the buyer's basic information, buyer attributes, etc.). In particular, the buyer information may include the buyer's industry, the organization's acquisition purpose, and the buyer's financial information. The second information may also include basic information about the buyer's agent.

[0078] The second information may further include, in addition to the buyer information, the buyer's behavioral history regarding organizational transactions. "Behavioral history regarding organizational transactions" is information including, for example, organizations with which the buyer (or buyer's agent) has previously conducted transactions such as acquisitions, organizations to which the buyer has submitted offers regarding transactions, organizations that have viewed project information, organizations registered in a bookmark list (favorite list), and the contents of the buyer's negotiation messages in transactions.

[0079] <Compatibility Information Creation Department 117> The compatibility information creation unit 117 creates compatibility information indicating the suitability of the acquisition of the trading target organization by the buyer whose application has been accepted by the application acceptance unit 114, based on the first information and second information acquired by the information acquisition unit 116 and the first reference information.

[0080] The relevance information includes synergy information resulting from a transaction involving the target organization, such as synergy information resulting from the buyer acquiring the target organization. The relevance information may include, for example, qualitative information (keywords, sentences, etc.) describing changes that will occur to the seller and / or buyer after the transaction involving the target organization, or may include quantitative information (numbers, etc.) such as projected rates of change in sales, profits, etc.

[0081] The compatibility information may include a statement (hereinafter referred to as the "compatibility statement") regarding at least one of the effects (short-term or long-term effects), advantages, disadvantages, and risks (risk factors, risk countermeasures, challenges, etc.) that will arise from the buyer's acquisition of the target organization.

[0082] Furthermore, the compatibility information may include the degree of match between the seller and the buyer. The "match degree" may also be referred to as "suitability" or "recommended degree," and may include indicators indicating, for example, the compatibility between the seller and the buyer (e.g., correlation between business or business fields), the degree of agreement between the seller's selling conditions and the buyer's acquisition conditions, etc. The match degree is referenced, for example, when sorting buyers (or buyer agents) in order of highest match degree on a list screen of applications for a transaction target organization. The match degree may also be a relative numerical value (e.g., ranking among buyers (or buyer agents) who have submitted applications) or an absolute numerical value (e.g., a percentage up to 100%).

[0083] For example, when the application receiving unit 114 receives an application from a buyer (or a buyer agent), the matching information creating unit 117 may create matching information for the transaction target organization for which the application has been received. Furthermore, the matching information creating unit 117 may create matching information, for example, after a predetermined time has elapsed since the application was received, or at a predetermined timing (for batch processing of multiple cases), such as daily or monthly. The created matching information is registered in a user database or a case database, for example, linked to the buyer's user information (for example, identification information such as a user ID).

[0084] The first reference information includes a correlation between the first information and the second information and the matching information. The first reference information is stored, for example, in the storage unit 12. The first reference information may include, for example, a table, a function, a simple algorithm, or the like, which indicates the correlation between the first information and the second information and the matching information. The correlation included in the first reference information can be constructed, for example, by statistically analyzing data recording combinations of the first information and the second information and the corresponding matching information.

[0085] The compatibility information creation unit 117 may create compatibility information for the seller (or seller's agent) (e.g., the effects, advantages, disadvantages, risks, etc. that will occur on the seller's side if the organization is acquired by the buyer), or may create compatibility information for the buyer (or buyer's agent) (e.g., the effects, advantages, disadvantages, risks, investment payback period, etc. that will occur on the buyer's side if the organization is acquired), or may create compatibility information for both the seller and the buyer (e.g., synergy effects from the transaction, etc.).

[0086] The matching information creating unit 117 may use reference information prepared for each of the matching information for the seller and the matching information for the buyer, for example. That is, the first reference information may include the seller reference information and the buyer reference information.

[0087] The first reference information may include a machine-learned learning model or a matching information generation model that is a generative AI that can input the first information and the second information and output matching information. In this case, the matching information creation unit 117 inputs the first information and the second information to the matching information generation model and causes the matching information generation model to output matching information. This makes it possible to propose matching information based on information on a large number of transaction target organizations, sellers (or seller agents), and buyers (or buyer agents), or natural language processing. In the matching information generation model, parameters calculated, tuned, etc. through learning constitute the correlations of the first reference information.

[0088] The matching information generation model is included in the artificial intelligence unit 120. The matching information generation model, which has been trained to be able to output matching information, is trained using, for example, a combination of the first information and the second information and the corresponding matching information data as training data.

[0089] When the relevance information generation model is a generative AI including a natural language model (a general-purpose large-scale language model), the relevance information creation unit 117 receives the first information and the second information as input, inputs a prompt including an instruction to output relevance information corresponding to the combination of the first information and the second information to the relevance information generation model, and causes the relevance information generation model to output the relevance information. The relevance information creation unit 117 may generate a prompt that instructs the relevance information generation model to create the relevance information, and input the prompt to the relevance information generation model. Furthermore, the relevance information creation unit 117 may input, to the relevance information generation model, in addition to the instruction to generate and output the relevance information and the first information and the second information, a prompt that inserts, for example, one or more samples of the first information and the second information and one or more corresponding samples of relevance information as examples, samples, or training data of input and output pairs.

[0090] When the matching information generation model is a natural language model, the matching information creation unit 117 may cause the matching information generation model to generate matching information for the buyer by inputting a prompt including the first information and the second information and an instruction to generate matching information to be presented to the buyer based on the first information and the second information to the matching information generation model, and may cause the matching information generation model to generate matching information for the seller by inputting a prompt including the first information and the second information and an instruction to generate matching information to be presented to the seller based on the first information and the second information to the matching information generation model. In this way, both matching information for the buyer and matching information for the seller can be created by a single matching information generation model.

[0091] The matching information creation unit 117 may, for example, prepare in advance a prompt template for buyers (first template) and a prompt template for sellers (second template), and input prompts in which the first information and the second information have been inserted into the first template and the second template, respectively, into the matching information generation model when matching information is generated. Also, a prompt template for seller agents and a prompt template for buyer agents may be further prepared.

[0092] In addition, the matching information creation unit 117 may change the contents of the first information and second information to be input into the matching information generation model when creating matching information for buyers and when creating matching information for sellers.

[0093] When the relevance information generation model is a natural language model, the relevance information creation unit 117 may cause the relevance information generation model to generate relevance information including a relevance description sentence by inputting a prompt including the first information and the second information and an instruction to generate relevance information based on the first information and the second information to the relevance information generation model. This makes it possible to provide the seller or buyer with relevance information including at least one of the effects, advantages, disadvantages, and risks of the transaction.

[0094] When generating compatibility information including a compatibility description sentence in this way, the compatibility information creating unit 117 may insert a specification of the number of characters in the compatibility description sentence (for example, "about 500 characters") into the prompt. The compatibility information creating unit 117 may also insert the structure of the compatibility description sentence (for example, items such as title, summary, and details) and the number of characters for each item into the prompt.

[0095] The matching information creation unit 117 may generate matching information in the matching information generation model by inputting first information including the seller's industry, the sales conditions of the transaction target organization, and the intention regarding the sale, and second information including the buyer's industry, the purpose of acquiring the transaction target organization, and the buyer's financial information into the matching information generation model. This makes it possible to present matching information to a user (seller, buyer, seller's agent, or buyer's agent) according to the affinity of the industry between the seller and buyer, the degree of satisfaction of the sales conditions, the degree of match between the seller's intention and the buyer's purpose, etc.

[0096] When the matching information generation model is a natural language model, the matching information creation unit 117 may input a prompt including the first information and the second information and an instruction to generate matching information based on the first information and the second information, which is set according to the transaction type included in the first information, to the matching information generation model, thereby causing the matching information generation model to generate matching information according to the transaction type. This makes it possible to adjust the items, output format, granularity, etc. included in the matching information according to the transaction type (e.g., stock transfer, business transfer, etc.). This increases the usefulness of the matching information as a basis for making decisions about transactions.

[0097] For example, if the transaction type is a stock transfer, the compatibility information creation unit 117 extracts information related to the stock transfer from the first information and the second information, creates a prompt including instructions to create compatibility information including the effects, advantages, disadvantages, risks, etc. of the stock transfer, and inputs this prompt into the compatibility information generation model.

[0098] The matching information creation unit 117 may create matching information using first information that does not include information on the entity acting on behalf of the seller (seller agent) and second information that does not include information on the entity acting on behalf of the buyer (buyer agent). This allows the matching information to be created without using agent information, thereby improving the accuracy of the matching information.

[0099] When creating matching information for a transaction target organization in a provisional acceptance state, the matching information creation unit 117 may create real-name matching information as matching information for a seller for which the request receiving unit 115 has accepted a request for real name display based on second information including real-name-dependent information that depends on the real name of the buyer for whom the application receiving unit 114 has accepted an offer. Furthermore, for a seller for which the request receiving unit 115 has not accepted a request for real name display, the matching information creation unit 117 may create anonymous matching information as matching information based on second information that does not include real-name-dependent information for the buyer for whom the application has been accepted, or may not create matching information at all. This prevents the creation of matching information that could potentially allow the real name to be guessed when a request for real name display has not been accepted (in the case of anonymity display status). Furthermore, when a request for real name display is accepted (in the case of real name display status), highly accurate matching information or detailed matching information using real-name-dependent information can be created.

[0100] When creating anonymous matching information, the matching information creating unit 117 inputs, for example, a prompt including an instruction to create matching information for the seller without using real name dependent information of the buyer, into the matching information generation model.

[0101] "Real name dependent information" includes, for example, the buyer's real name (company name, etc.) itself as well as information from which the real name can be inferred (for example, representative name, related companies, commercial material names (product names, service names, etc.), brand names, business partners, etc.).

[0102] The real name dependent information may include information acquired by crawling a website based on information about the buyer's real name by the information acquisition unit 116. This allows the real name matching information to be created using information not included in the buyer's registration information, thereby increasing the usefulness of the real name matching information as a basis for making decisions about a transaction. The real name dependent information may also include information about the buyer or buyer's agent that is an important basis for the seller or seller's agent to consider a transaction (such as an acquisition, merger, or business transfer).

[0103] "Information related to real names" includes, for example, the real names of buyers and information linked to the real names (for example, the name of the representative, the name of the product, the brand name, etc.). The information acquisition unit 116 acquires real name-dependent information by, for example, searching for websites that include information related to real names and crawling the searched websites.

[0104] For a transaction target organization in the official acceptance state, the matching information creation unit 117 may create matching information based on first information that includes more information than the first information used when creating the real-name matching information. This makes it possible to provide the user with more detailed matching information in the official acceptance state than in the provisional acceptance state.

[0105] As described above, if the transaction availability conditions for accepting registration in the final acceptance state include the degree of fulfillment of the project information, the final acceptance state will have more items and content of project information than the provisional acceptance state. Therefore, the final acceptance state can be said to be a state in which more detailed first information (especially transaction project information of the transaction target organization) is available than in the provisional acceptance state.

[0106] If the second information includes the buyer's behavioral history regarding organizational transactions, the matching information creation unit 117 may create matching information based on, in addition to the first information and the second information, information on other organizations (organizations registered in the transaction platform other than the transaction target organization for which the matching information is created) included in the buyer's behavioral history and the similarity between the other organizations and the transaction target organization for which the matching information is created. This makes it possible to create matching information that reflects the buyer's history of organizational transactions such as M&A, thereby increasing the value of the matching information.

[0107] The similarity between another organization and a transaction target organization is defined, for example, by the difference in features (vector distance) obtained by vectorizing words or sentences contained in the information of each of the two organizations. For example, cosine similarity is used as the similarity, and the closer the cosine similarity is to 1, the greater the similarity. Alternatively, the similarity may be output from a similarity determination model (generative AI) by inputting the information of the two organizations into the similarity determination model.

[0108] The matching information creation unit 117 creates matching information, for example, by using, in addition to the first information and the second information, information of other organizations whose similarity is equal to or greater than a threshold as input information (for example, by inserting it into a prompt for the matching information generation model).

[0109] <Transaction Counterparty Information Display Control Unit 118> The trading partner information display control unit 118 is configured to present the matching information created by the matching information creation unit 117 to at least one of the seller of the trading target organization, the buyer of the trading target organization, and the entity acting on behalf of the seller or buyer (seller agent or buyer agent).

[0110] For example, when an application from a buyer (or buyer agent) to a target organization is accepted, the counterparty information display control unit 118 may cause the seller terminal 30 to display the suitability information along with a notification of the application. Also, when a buyer takes an action (viewing project information, applying for a project, etc.) with respect to a target organization, the counterparty information display control unit 118 may cause the buyer terminal 20 to display the suitability information of the target organization.

[0111] If a seller agent (seller representative) is linked to the target organization for which an application has been accepted, the counterparty information display control unit 118 may present the matching information to that agent. In other words, if a seller agent is set for the target organization for which an application has been accepted, the counterparty information display control unit 118 displays the matching information on the seller terminal 30 of the seller agent. This can assist the seller agent in explaining and proposing the transaction to the seller organization.

[0112] The trading partner information display control unit 118 may display the matching information on the terminal of a user (either the seller, buyer, seller agent, or buyer agent) in response to a request for presentation of matching information from the terminal of the user, when matching information has been created by the matching information creation unit 117.

[0113] For a seller for which the request receiving unit 115 has accepted a request for real name display, the trading partner information display control unit 118 may display information about the buyer, including the real name of the buyer whose application has been accepted by the application receiving unit 114 and the real name compatibility information. Furthermore, for a seller for which the request receiving unit 115 has not accepted a request for real name display, the trading partner information display control unit 118 may display information about the buyer that does not include the real name of the buyer whose application has been accepted by the application receiving unit 114 and that includes anonymity compatibility information or does not include compatibility information. In this way, by accepting a request for real name display, the seller (or seller's agent) can obtain more detailed and useful buyer information than if the request for real name display had not been accepted.

[0114] 8 is a diagram showing an example of an application display screen AD displayed on the seller terminal 30. The application display screen AD is displayed for each transaction target organization (project). The application display screen AD includes an application switching tab AT, an application display area AA, and a viewing request acceptance button B31.

[0115] The application switching tab AT has tabs corresponding to the type of application. The application display screen AD displays a list of companies that have made applications of the type selected in the application switching tab AT. The application switching tab AT accepts the selection input of the type of application by the buyer (or buyer agent) displayed in the application display area AA (either "Company applying for advance negotiations," which is an application for a transaction target organization in a provisional acceptance state, or "Company wishing to negotiate," which is an application for a transaction target organization in a formal acceptance state). The example in Figure 8 shows that "Company applying for advance negotiations" has been selected.

[0116] The application display area AA displays a list of application information AIN indicating the contents of applications accepted by the application acceptance unit 114. The application information AIN includes, for example, the application date and information about the buyer who made the application. The buyer information includes, for example, the date and time of the last login to the organization trading platform, the company name, and tags indicating the buyer's attributes. However, if the target organization is in an anonymous display state, a message is displayed in place of the company name (the buyer's real name) as shown in FIG. 8, informing the user that the company name will be displayed after a real name display request (submission of a viewing request) is made. In addition, the buyer's attributes include, for example, information that is not dependent on the buyer's real name, such as industry, previous year's sales, listing classification, location, and M&A track record. Note that if the target organization is in a real name display state or a current acceptance state, more detailed attributes (dependent on the buyer's real name) may be displayed as the application information AIN.

[0117] When an input operation is performed on the View Request Acceptance button B31, a request for real name display is sent and an exclusive contract application is made to the intermediary. When the request for real name display and contract application are accepted, the buyer's company name is displayed in the application information AIN in the application display area AA. Note that for trading partners in this acceptance state, the buyer's company name is always displayed in the application information AIN in the application display area AA.

[0118] Figure 9 is a diagram showing an example of a buyer company display screen BD displayed on the seller terminal 30. The buyer company display screen BD is displayed, for example, when any of the application information AIN on the application display screen AD of Figure 8 is selected. Figure 9 shows a buyer company display screen BD for a trading target organization in an anonymous display state. The buyer company display screen BD includes a buyer information display area BA, a matching information display area CA, and a viewing request acceptance button B31.

[0119] The buyer information display area BA displays the application date and part of the buyer's registered information (for example, company name, industry, location, listing classification, previous year's sales, M&A performance, number of employees, website, etc.). Note that the company name is not displayed for target organizations in an anonymous display state as shown in Figure 9. In addition, the display of part of the buyer information displayed in the buyer information display area BA (information dependent on real names) is restricted. In the example of Figure 9, the website is restricted from display by mosaic processing.

[0120] The matching information display area CA displays the anonymous matching information created by the matching information creation unit 117. The viewing request acceptance button B31 is the same as that on the application display screen AD in Fig. 9. Note that the buyer company display screen BD for the target trading organization in the anonymous display state does not have to include the matching information display area CA (i.e., matching information does not have to be displayed).

[0121] Figure 10 is a diagram showing another example of the buyer company display screen BD displayed on the seller terminal 30. Figure 10 shows the buyer company display screen BD for a trading target organization in real name display mode. The buyer information display area BA on this buyer company display screen BD displays the company name, as well as more detailed buyer information (buyer information including real name-dependent information) than in the case of a trading target organization in anonymous display mode.

[0122] Furthermore, the matching information display area CA of the buyer company display screen BD in Figure 10 displays real name matching information (matching information based on more detailed information than anonymous matching information) created by the matching information creation unit 117. Note that the view request acceptance button B31 is not displayed on the buyer company display screen BD in Figure 10. Also, for a trading target organization in the main acceptance state, a buyer company display screen BD similar to that in Figure 10 is displayed. However, the configuration of the matching information may differ between the main acceptance state and the real name display state.

[0123] <Organization presentation section 119> The organization presentation unit 119 is configured to present organizations recommended as transaction targets to the buyer (or buyer agent). The organization presentation unit 119 may present at least one recommended organization to the buyer or the entity acting on behalf of the buyer (buyer agent) from among multiple organizations registered in the transaction on the organization transaction platform, based on the buyer's behavior history acquired by the information acquisition unit 116 and the second reference information. This allows organizations that meet the buyer's desired conditions to be displayed on the buyer terminal 20 as transaction candidates, thereby reducing the cost for the buyer (or buyer agent) to search for organizations.

[0124] The second reference information includes a correlation between the buyer's behavioral history and the recommended organizations. The second reference information is stored, for example, in the storage unit 12. The second reference information may include, for example, a table, a function, a simple algorithm, or the like, which indicates the correlation between the behavioral history and the recommended organizations. The correlation included in the second reference information can be constructed, for example, by statistically analyzing data recording the behavioral history and the corresponding recommended organizations.

[0125] The second reference information may include a learning model that has been machine-learned to input the buyer's behavioral history and multiple candidate organizations (organizations to which the buyer can apply) and output recommended organizations, or a recommended organization determination model that is a generative AI. In this case, the organization presentation unit 119 inputs the behavioral history and the candidate organizations into the recommended organization determination model and causes the recommended organization determination model to output recommended organizations. In the recommended organization determination model, parameters calculated, tuned, etc. by learning constitute the correlations of the second reference information.

[0126] The recommended organization determination model is included in the artificial intelligence unit 120. The recommended organization determination model, which has been trained to be able to output recommended organizations, is trained using, for example, combinations of behavioral history and candidate organizations and data on the corresponding recommended organizations as training data.

[0127] When the recommended tissue determination model is a generative AI including a natural language model (a general-purpose large-scale language model), the tissue presentation unit 119 inputs the behavioral history and the candidate tissue, inputs a prompt including an instruction to output a recommended tissue corresponding to the combination of the behavioral history and the candidate tissue to the recommended tissue determination model, and causes the recommended tissue determination model to output the recommended tissue. The tissue presentation unit 119 may generate a prompt that instructs the recommended tissue determination model to output a recommended tissue, and input the prompt to the recommended tissue determination model. Furthermore, the tissue presentation unit 119 may input, in addition to the instruction to determine and output the recommended tissue, the behavioral history, and the candidate tissue, a prompt that inserts, for example, one or more samples of the behavioral history and the candidate tissue and one or more corresponding samples of the recommended tissue as examples, samples, or training data of input and output pairs to the recommended tissue determination model.

[0128] <Artificial Intelligence Department 120> The artificial intelligence unit 120 is configured to receive input from each functional unit and return the instructed output. The artificial intelligence used by the server device 10 in each functional unit may be a common one, or may be prepared individually for each functional unit.

[0129] The artificial intelligence unit 120 may be an AI (Artificial Intelligence) equipped with a learning model such as a language model, such as a Transformer (including GPT (Generative Pretrained Transformer, including GPT-1, GPT-2, GPT-3, and GPT-4)), a Bidirectional Encoder Representations from Transformers (BERT), a Bidirectional and Auto-regressive Transformer (BART), or a Recurrent Neural Network (RNN). The artificial intelligence unit 120 may be, for example, a generative AI or an AI agent including a large-scale language model. A large-scale language model is a type of generative AI and includes models provided by services such as OpenAI's GPT, Google's Gemini, and Microsoft's Azure AI Studio. The artificial intelligence unit 120 may also include any machine learning model, deep learning model, artificial intelligence model, or the like.

[0130] The language model is an example of a learning model based on a machine learning algorithm. Specific examples of machine learning algorithms include nearest neighbor methods, naive Bayes methods, decision trees, support vector machines, and deep learning using neural networks. The artificial intelligence unit 120 can apply the above algorithms as appropriate.

[0131] The artificial intelligence unit 120 may have a trained model constructed by a learning method such as supervised learning, unsupervised learning, or self-supervised learning. In supervised learning, machine learning is performed using training data (training data). The training data consists of pairs of input data for learning and output data (correct answer data). Furthermore, the language model may not only be trained for a specific task, but also be a general-purpose model that can be used for a wide range of tasks.

[0132] The artificial intelligence unit 120 may include a natural language model as its artificial intelligence, or may be a general-purpose natural language processing trained model such as a large-scale language model (LLM). An LLM is a learning model that has previously trained a large amount of data, such as text data (e.g., (i) web content on the Internet, or (ii) data stored in a specified database). It can perform various language processing tasks when given a task, and can perform a wide range of natural language processing tasks, such as understanding sentence patterns and context, answering questions, and generating sentences, according to given prompts. Such a general-purpose learning model includes a language model that can handle various tasks without fine-tuning, using one-shot learning, few-shot learning, etc. Furthermore, a general-purpose learning model may also be configured to handle various tasks using zero-shot learning. The artificial intelligence used in each functional unit of the control unit 11 may be a separate learning model, or a common general-purpose learning model.

[0133] The learning models included in the artificial intelligence unit 120 (learning models used in each functional unit, such as the adaptation information generation model) can undergo additional learning using techniques such as transfer learning and fine tuning. For example, each time new data is registered, the artificial intelligence unit 120 may perform additional learning and fine tuning using the new data as new training data. This improves the accuracy of the information output from the learning models.

[0134] The learning model included in the artificial intelligence unit 120 may be a learning model (distilled model) obtained by knowledge distillation using an original learning model. In knowledge distillation, a trained model such as a large-scale language model is used as a teacher model, and the parameters of the student model are adjusted to reduce the output loss (Soft Target Loss) of the student model (distilled model) relative to the output (Soft Target) of the teacher model, thereby learning the student model, which becomes the distilled model. Alternatively, the student model may be learned to reduce the output loss (Hard Target Loss) of the student model relative to the correct label (Hard Target) of the teacher data (combination of input data and output data of the learning model). Compared to the original learning model (teacher model), the distilled model has a smaller number of parameters and a smaller processing load while maintaining performance similar to the learning model. Therefore, using a distilled model can reduce the cost of the information processing system 1.

[0135] For example, the learning model used in each functional unit may be a distilled model trained using a combination of input data and output data in a large-scale language model as training data. Furthermore, when the information processing system 1 is introduced, a large-scale language model may be used as the learning model used in each functional unit, and when training data from the large-scale language model is accumulated, a distilled model obtained by knowledge distillation using the training data may be used as the learning model used in each functional unit.

[0136] AI agents may also be called autonomous agents. An "AI agent" is a model that, when given a goal (purpose, objective, etc.) such as "teach me XX" or a task such as "output XX," breaks down the processing required to reach the goal or accomplish the task into subtasks, actions, etc., and performs tasks such as collecting and analyzing necessary data, generating and executing programs, etc. AI agents target information and instructions input by a user, autonomously select and execute tasks and actions according to the goal, and output information according to the goal, without requiring user intervention (operational input). AI agents may also autonomously learn to achieve their goals by autonomously creating and executing plans and evaluating the results. For example, an AI agent may be autonomously updated based on the results of subtask execution (e.g., collected information, information analysis results, etc.).

[0137] <Display> The display unit 211 of the buyer terminal 20 and the display unit 311 of the seller terminal 30 each display a screen (information) indicated by the data transmitted from the server device 10.

[0138] <Operation acquisition part> The operation acquisition unit 212 of the buyer terminal 20 accepts operations by a buyer (or a buyer agent) using the buyer terminal 20. The operation acquisition unit 312 of the seller terminal 30 accepts operations by a seller (or a seller agent) using the seller terminal 30.

[0139] 3. Information Processing Method This section describes an information processing method of the server device 10. This information processing method is executed by a computer, with each unit of the server device 10 acting as each step.

[0140] This information processing includes a search step, an application acceptance step, an information acquisition step, a matching information creation step, and a trading partner information display step. In the search step, a search is performed for trading partner organizations registered in a project on the organizational trading platform using search criteria entered by the buyer or an entity acting on behalf of the buyer. In the application acceptance step, an application for a transaction involving the trading partner organization is accepted from the buyer or an entity acting on behalf of the buyer. In the information acquisition step, first information including at least information about the trading partner organization and second information including at least buyer information about the buyer who accepted the application are acquired. In the matching information creation step, the first information and the second information are input into a matching information generation model, which is a generation AI, and matching information indicating the matching of the acquisition of the trading partner organization by the buyer who accepted the application is output from the matching information generation model. In the trading partner information display control step, matching information is presented to at least one of the seller of the trading partner organization, the buyer of the trading partner organization, and the entity acting on behalf of the seller or buyer.

[0141] 11 is an activity diagram showing an example of the flow of information processing (matching information display processing) executed by the information processing system 1. Below, the information processing will be described along with each activity in this activity diagram.

[0142] The matching information display process begins with a buyer (or buyer agent) searching for a transaction (transaction target organization) with which they wish to do business. The buyer (or buyer agent) inputs search criteria for transaction target organizations into the buyer terminal 20 (activity A101). The server device 10 executes a search for transaction target organizations based on the search criteria input from the buyer terminal 20 (activity A102). Next, the server device 10 outputs the search results (hit transaction target organizations) to the buyer terminal 20 (activity A103). As a result, the search results are displayed on the buyer terminal 20 (activity A104).

[0143] A buyer (or buyer agent) inputs a transaction application to a trading target organization with which they wish to do business from among the trading target organizations included in the search results displayed on the buyer terminal 20 (activity A105). The server device 10 accepts the application from the buyer terminal 20 (activity A106). Next, the server device 10 acquires information (first information and second information) about the trading target organization that accepted the application, and creates matching information (activity A107). After creating the matching information, the server device 10 sends a notification to the seller terminal 30 indicating that the application has been accepted (activity A108). As a result, the seller terminal 30 receives the notification (activity A109). Note that the creation of the matching information and the transmission of the notification may be performed simultaneously, or the creation of the matching information may be performed after the transmission of the notification.

[0144] The seller (or seller's agent) selects, from the applications for which the notification has been received, the application for which he / she wishes to check the buyer's information at the seller terminal 30 (activity A110). The server device 10 outputs matching information corresponding to the selected application to the seller terminal 30 (activity A111). As a result, the matching information is displayed on the seller terminal 30 together with the buyer's information, etc. (activity A112).

[0145] 4. Effect The operation of this embodiment can be summarized as follows: That is, it is possible to provide relevant information regarding a transaction as material for consideration of a transaction in M&A.

[0146] Although the embodiment of the present invention has been described above, the present invention is not limited to this and can be modified as appropriate within the scope of the technical idea of ​​the invention.

[0147] 5.Other In the above embodiment, the server device 10 performs various storage and control functions. However, multiple external devices may be used instead of the server device 10. That is, various information and programs may be distributed and stored in multiple external devices using blockchain technology or the like. In particular, the artificial intelligence unit 120 may be an external component of the server device 10. In this case, the external artificial intelligence unit 120 may be provided, for example, by an artificial intelligence service server and configured to receive inputs from each functional unit of the server device 10, receive requests to execute artificial intelligence services, and return the instructed output as a processing result to the server device 10. The artificial intelligence service server may be a server that provides services using a language model as a learning model, or a server that executes language processing tasks using a language model. The artificial intelligence service server may be constructed using LLM. The artificial intelligence service server receives inputs of prompts such as text, images, and voice, and generates and responds to the prompts.

[0148] At least one of the devices included in the information processing system 1 may be installed outside the country in which the functions of the information processing system 1 are performed.

[0149] The aspect of this embodiment is not limited to the information processing system 1, and may be an information processing method or a program. The information processing method includes steps executed by the information processing system 1. The program causes a computer to execute the steps of the information processing system 1.

[0150] The control unit 11 does not necessarily have to include the request receiving unit 115. In other words, the information processing system 1 does not necessarily have to have a function of switching whether or not to display the buyer's real name in response to a request from the seller.

[0151] It may be provided in the following manner.

[0152] (1) An information processing system comprising at least one processor, the processor being configured to execute each of the following steps by reading a program: an application acceptance step accepts an application for a transaction with an organization that is the subject of a transaction from a buyer or an entity acting on behalf of a buyer, wherein the entity is an agent for the transaction; an information acquisition step acquires first information including at least information about the organization and second information including at least buyer information about the buyer who accepted the application; a matching information creation step inputs the first information and the second information into a matching information generation model, which is a generation AI, and causes the matching information generation model to output matching information indicating the suitability of the acquisition of the organization by the buyer who accepted the application; and a trading partner information display control step presents the matching information to at least one of the seller of the organization, the buyer of the organization, and the entity acting on behalf of the seller or buyer.

[0153] (2) In the information processing system described in (1) above, the compatibility information includes sentences regarding at least one of the effects, advantages, disadvantages, and risks that will arise from the buyer's acquisition of the organization, the compatibility information generation model is a natural language model, and in the compatibility information creation step, a prompt including the first information and the second information and instructions to generate the compatibility information based on the first information and the second information is input to the compatibility information generation model, thereby causing the compatibility information generation model to generate the compatibility information.

[0154] (3) In the information processing system described in (1) or (2) above, in the compatibility information creation step, the first information, including the seller's industry, the terms of sale of the organization, and the intention regarding the sale, and the second information, including the buyer's industry, the purpose of acquiring the organization, and the buyer's financial information, are input into the compatibility information generation model, thereby causing the compatibility information generation model to generate the compatibility information.

[0155] (4) In the information processing system described in any one of (1) to (3) above, the first information includes the transaction type of the transaction desired by the seller, the matching information generation model is a natural language model, and in the matching information creation step, a prompt including the first information and the second information and an instruction to generate the matching information based on the first information and the second information, which is set according to the transaction type, is input to the matching information generation model, thereby causing the matching information generation model to generate the matching information according to the transaction type.

[0156] (5) An information processing system according to any one of (1) to (4) above, wherein the compatibility information generation model is a natural language model, and in the compatibility information creation step, a prompt including the first information and the second information and instructions to generate the compatibility information to be presented to the buyer based on the first information and the second information is input to the compatibility information generation model, thereby causing the compatibility information generation model to generate the compatibility information for the buyer, and a prompt including the first information and the second information and instructions to generate the compatibility information to be presented to the seller based on the first information and the second information is input to the compatibility information generation model, thereby causing the compatibility information generation model to generate the compatibility information for the seller.

[0157] (6) In the information processing system described in any one of (1) to (5) above, the processor is configured to further perform the following steps: in the user registration step, registering each of the seller, the buyer, and the entity acting on behalf of the seller or the buyer as a user of the platform; in the case registration acceptance step, accepting registration of a case of the organization on the platform from the seller or the entity acting on behalf of the seller; in the search step, performing a search of the organization registered in a case on the platform using search criteria entered by the buyer or the entity acting on behalf of the buyer; in the application acceptance step, accepting the application for the searched organization from the buyer or the entity acting on behalf of the buyer; in the matching information creation step, creating the matching information using the first information that does not include information of the entity acting on behalf of the seller and the second information that does not include information of the entity acting on behalf of the buyer; and in the trading partner information display control step, presenting the matching information to the entity if the entity acting on behalf of the seller is linked to the organization for which the application was accepted.

[0158] (7) In the information processing system described in any one of (1) to (6) above, the processor is configured to further execute the following steps: in the request receiving step, a request for real name display for the buyer who accepted the application is received from the seller or the entity acting on behalf of the seller; in the matching information creating step, for the seller who accepted the request for real name display, real name matching information is created as the matching information based on the second information including real name dependent information that depends on the real name of the buyer who accepted the application; and for the seller who did not accept a request for real name display, anonymous matching information is created as the matching information based on the second information that does not include the real name dependent information of the buyer who accepted the application, or the matching information is not created.

[0159] (8) In the information processing system described in (7) above, the real name dependent information includes information obtained by crawling a website based on information regarding the buyer's real name.

[0160] (9) In the information processing system described in (7) or (8) above, in the trading partner information display control step, for a seller who has accepted a request for real name display, information about the buyer who accepted the application, including the real name of the buyer, and the real name compatibility information, is displayed, and for a seller who has not accepted a request for real name display, information about the buyer that does not include the real name of the buyer who accepted the application and either includes the anonymous compatibility information or does not include the compatibility information.

[0161] (10) In the information processing system described in any one of (7) to (9) above, in the request receiving step, a request for real name display is received on the condition that a contract is made to exclusively assign the transaction to a specific intermediary.

[0162] (11) In the information processing system described in any one of (7) to (10) above, the processor is configured to further execute the following steps: in the case registration acceptance step, a selection is accepted from the seller or the entity acting on behalf of the seller as the acceptance status of the application for the transaction between a provisional acceptance state in which the buyer's real name is displayed based on a request from the seller or the entity acting on behalf of the seller for real name display, and a final acceptance state in which the buyer's real name is always displayed, wherein the final acceptance state is a state in which more detailed first information than in the provisional acceptance state is available, and in the matching information creation step, for the organization in the final acceptance state, the matching information is created based on the first information which includes more information than the first information used when creating the real name matching information.

[0163] (12) In the information processing system described in any one of (1) to (11) above, the second information further includes the buyer's behavioral history regarding organizational transactions, and in the matching information creation step, the matching information is created based on information about other organizations included in the behavioral history and the similarity between the other organizations and the organization for which the matching information is being created.

[0164] (13) In the information processing system described in (12) above, the processor is configured to further perform the following steps: in the organization presentation step, at least one recommended organization to be recommended to the buyer from among the multiple organizations is presented to the buyer or the entity acting on behalf of the buyer based on the behavioral history and reference information; and wherein the reference information includes a correlation between the behavioral history and the recommended organization.

[0165] (14) An information processing method, comprising steps executed by the information processing system according to any one of (1) to (13) above.

[0166] (15) A program for causing a computer to execute each step of the information processing system described in any one of (1) to (13) above. Of course, this is not the case.

[0167] Finally, while various embodiments of the present disclosure have been described, they are presented as examples and are not intended to limit the scope of the invention. The novel embodiments may be embodied in various other forms, and various omissions, substitutions, and modifications may be made without departing from the spirit of the invention. Such embodiments and modifications are intended to be included within the scope and spirit of the invention, as well as within the scope of the inventions and their equivalents as defined in the claims. [Explanation of symbols]

[0168] 1: Information processing system 2: Communication line 10: Server device 11: Control section 110: Basic display control unit 111: User Registration Section 112: Case Registration Reception Department 113: Search section 114: Application Reception Department 115: Request reception unit 116: Information acquisition department 117: Compliance Information Creation Department 118: Counterparty information display control unit 119: Organization presentation department 120: Artificial Intelligence Department 12: Storage section 13: Communications Department 14: Communication bus 20: Buyer terminal 21: Control unit 211:Display section 212: Operation acquisition section 22: Storage section 23: Communications Department 24: Input section 25: Output section 26: Communication bus 30: Seller terminal 31: Control unit 311: Display section 312: Operation acquisition section 32: Storage section 33: Communications Department 34: Input section 35: Output section 36: Communication bus AA: Application display area AD: Application display screen AIN: Application Information AL: Advance order label AT: Application switching tab AW: Application window B11: Advance negotiation acceptance button B21: Transaction negotiation acceptance button B31: Viewing request acceptance button BA: Buyer information display area BD: Buyer company display screen C1: First category C2: Second category C3: Third category CA: Compatibility information display area CS: Subcategory MI: Message input field OP: Choices PD:Project display screen PO : Opportunity Object

Claims

1. An information processing system, at least one processor; The processor is configured to execute the following steps by reading the program: In the case registration acceptance step, registration of case information of an organization that is the subject of a transaction is accepted from a seller or an entity acting on behalf of a seller, and further, a selection is accepted from the seller or the entity acting on behalf of the seller as an acceptance status for an application for transaction negotiations or preliminary negotiations with the organization from a buyer or an entity acting on behalf of a buyer between a provisional acceptance status in which the buyer's real name is displayed based on a request from the seller or the entity acting on behalf of the seller to display his / her real name, and a full acceptance status in which the buyer's real name is always displayed, wherein the case information includes an intention to sell the organization, and a buyer or an entity acting on behalf of a buyer can apply for the preliminary negotiations with an organization in the provisional acceptance status without consuming necessary resources, and a buyer or an entity acting on behalf of a buyer can apply for the transaction negotiations with an organization in the full acceptance status by consuming the resources, and the resources are negotiation tickets that are stocked by purchasing from or granted by a provider of the platform on which the case information is registered, or a right to send a negotiation request that is available on the platform, In the application acceptance step, the case information is presented to the buyer or an entity acting on behalf of the buyer according to the acceptance status, and for the organization in the provisional acceptance status, an advance negotiation application object for accepting an application for advance negotiation with the organization is displayed, and an application for advance negotiation from the buyer or an entity acting on behalf of the buyer is accepted by the organization through an input operation into the advance negotiation application object, and a notification is sent to the seller or an entity acting on behalf of the seller indicating that an application for advance negotiation has been made, with the buyer or the entity acting on behalf of the buyer who made the application anonymized; In the request receiving step, a request for real name display for the buyer who has accepted the advance negotiation offer is received from the seller or an entity acting on behalf of the seller by an input operation to a real name display request object that accepts the request for real name display; In the information acquisition step, first information including at least transaction target information regarding the organization and second information including at least buyer information regarding a buyer who has accepted the advance negotiation offer are acquired, wherein the transaction target information includes at least an intention to sell the organization, and the buyer information includes at least the buyer's purpose for acquiring the organization; In the compatibility information creation step, For the seller or an entity acting on behalf of the seller who has accepted the request for real name display, the first information, the second information including real-name dependent information that depends on the real name of the buyer who has accepted the advance negotiation offer, and a prompt including an instruction to input the first information and the second information and output compatibility information corresponding to the combination of the first information and the second information, are input into a compatibility information generation model, which is a generation AI, and the compatibility information generation model is caused to output real-name compatibility information as the compatibility information, wherein the compatibility information includes at least one of synergy information, effects, advantages, disadvantages, and risks that will arise from the acquisition of the organization by the buyer who has accepted the advance negotiation offer, and the real-name dependent information is the buyer's real name or information from which the buyer's real name can be inferred, For a seller or an entity acting on behalf of a seller who has not accepted a request for real name display, the first information, the second information that does not include the real name dependent information of the buyer who has accepted the advance negotiation offer, and a prompt including an instruction to input the first information and the second information and output the matching information corresponding to the combination of the first information and the second information are input to the matching information generation model, and the matching information generation model is made to output anonymous matching information as the matching information, In the trading partner information display control step, the real name of the buyer who accepted the advance negotiation application and the real name compatibility information are displayed to the seller or an entity acting on behalf of the seller who accepted the request for real name display, and the anonymous compatibility information and the real name display request object are displayed to the seller or an entity acting on behalf of the seller who did not accept the request for real name display.

2. 2. The information processing system according to claim 1, The relevance information includes a statement explaining at least one of the effects, advantages, disadvantages, and risks that will arise from the buyer's acquisition of the organization; the relevant information generation model is a natural language model, In the matching information creation step, a prompt including the first information and the second information and instructions for generating the sentence based on the first information and the second information is input to the matching information generation model, thereby causing the matching information generation model to generate the sentence.

3. 2. The information processing system according to claim 1, In the compatibility information creation step, the first information, which includes the seller's industry, the terms of sale of the organization, and the intention regarding the sale, and the second information, which includes the buyer's industry, the purpose of acquiring the organization, and the buyer's financial information, are input into the compatibility information generation model, thereby causing the compatibility information generation model to generate the compatibility information.

4. 2. The information processing system according to claim 1, The first information includes a transaction type desired by the seller for the organization, wherein the transaction type is a stock transfer or a business transfer; the relevant information generation model is a natural language model, In the matching information creation step, a prompt including the first information and the second information and an instruction to generate matching information including content corresponding to the transaction type based on the first information and the second information is input to the matching information generation model, thereby causing the matching information generation model to generate the matching information including content corresponding to the transaction type.

5. 2. The information processing system according to claim 1, the relevant information generation model is a natural language model, In the compatibility information creation step, a prompt including the first information and the second information and instructions to generate buyer-oriented compatibility information based on the first information and the second information is input to the compatibility information generation model, causing the compatibility information generation model to generate the buyer-oriented compatibility information; and a prompt including the first information and the second information and instructions to generate seller-oriented compatibility information based on the first information and the second information is input to the compatibility information generation model, causing the compatibility information generation model to generate the seller-oriented compatibility information, wherein the buyer-oriented compatibility information is the compatibility information including at least one of effects, advantages, disadvantages, risks, and investment payback period that will occur to the buyer if the organization is acquired, and the seller-oriented compatibility information is the compatibility information including at least one of effects, advantages, disadvantages, and risks that will occur to the seller if the organization is acquired.

6. 2. The information processing system according to claim 1, The processor is further configured to perform the steps of: In the user registration step, the seller, the buyer, and an entity acting on behalf of the seller or the buyer are registered as users of the platform; In the case where the item registration acceptance step is performed, the item information is registered on the platform from the seller or an entity acting on behalf of the seller. In the search step, a search is performed for the organization registered in the platform according to search criteria entered by the buyer or an entity acting on behalf of the buyer; In the application acceptance step, an application for the preliminary negotiation or the transaction negotiation with the searched organization is accepted from a buyer or an entity acting on behalf of a buyer; In the matching information creation step, the matching information is created using the first information that does not include information on an entity acting on behalf of a seller and the second information that does not include information on an entity acting on behalf of a buyer, In the trading partner information display control step, if an entity acting on behalf of the seller is linked to the organization that has accepted the application for the advance negotiation or the transaction negotiation, the information processing system presents the matching information to that entity.

7. 2. The information processing system according to claim 1, An information processing system, wherein the real name dependent information includes information obtained by crawling a website based on real name related information regarding the buyer's real name, and wherein the real name related information is the buyer's real name or information linked to the buyer's real name.

8. 2. The information processing system according to claim 1, In the request receiving step, the information processing system receives the request for real name display on the condition that a contract is made to have a specific intermediary exclusively handle transactions for the organization.

9. 2. The information processing system according to claim 1, the final acceptance state is a state in which more detailed first information than that in the provisional acceptance state is available, In the matching information creation step, for the organization in the current acceptance state, the matching information is created based on the first information which contains more information than the first information used when creating the real name matching information, an information processing system.

10. 2. The information processing system according to claim 1, The second information further includes a behavioral history of the buyer regarding the organizational transaction, wherein the behavioral history includes at least one of the organizations with which the buyer or the entity acting on behalf of the buyer has conducted a transaction, the organizations with which the buyer has applied for transaction negotiation or preliminary negotiation, the organizations with which the buyer has viewed project information, the organizations with which the buyer has registered in a bookmark list, and the contents of negotiation messages sent to the seller; In the matching information creation step, the matching information is created based on information about other organizations included in the behavioral history and the similarity between the other organizations and the organization for which the matching information is being created, in an information processing system.

11. 11. The information processing system according to claim 10, The processor is further configured to perform the steps of: In the organization presentation step, the behavioral history and a prompt including instructions to input the behavioral history and output a recommended organization corresponding to the behavioral history are input into a recommended organization determination model, which is a generative AI, and the recommended organization is output from the recommended organization determination model and presented to the buyer or the entity acting on behalf of the buyer, where the recommended organization is the organization recommended to the buyer from among multiple organizations, an information processing system.

12. An information processing method, comprising: An information processing method, wherein an information processing device executes each step of the information processing system according to any one of claims 1 to 11.

13. A program, A program for causing a computer to execute each step of the information processing system according to any one of claims 1 to 11.

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