Business development efficiency improvement system, business development efficiency improvement method and business development efficiency improvement program

Abstract

To provide a business development efficiency improvement system, a business development efficiency improvement method and a business development efficiency improvement program capable improving efficiency of business development.SOLUTION: A business development efficiency improvement system comprises: a communication unit 21 that transmits and receives information to and from a user terminal 10 operated by a user U; a proposal unit 22 that, upon receiving a draft idea from the communication unit 21, instructs a generative AI 30 to make a proposal for specified consideration items based on the draft idea, obtains a proposal result output by the generative AI 30, and proposes it to the user U; a storage unit 23 that, upon receiving a corrected result that the proposal result is corrected by the communication unit 21, reflects the corrected result in the proposal result, and stores it in a database 26B for each consideration item; and a creation unit 24 that retrieves storage information stored by the storage unit 23 from the database 26B, and creates materials related to business development using the retrieved storage information.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a business development efficiency improvement system, a business development efficiency improvement method, and a business development efficiency improvement program that use generative AI (Artificial Intelligence) to improve the efficiency of business development. [Background technology]

[0002] New business development is important in today's rapidly changing world. Recently, generative AI tools have emerged that can generate multiple new business ideas based on text input of a company's management resources or business plans conceived by employees, identify the market environment and competitive information for new businesses, and incorporate them into frameworks such as a business model canvas (see, for example, non-patent literature 1 and 2). [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Spready Co., Ltd., "HASSAN β version," searched on March 25, 2024, Internet<URL:https: / / prtimes.jp / main / html / rd / p / 000000005.000109102.html> [Non-patent document 2] Product Management DAO, "Value Discovery," searched March 25, 2024, Internet<URL:https: / / productzine.jp / article / detail / 1695> Summary of the Invention [Problem to be solved by the invention]

[0004] However, regardless of whether generative AI is used or not, there are many obstacles to new business development in companies, and many cases have been seen as failures. The following three points can be considered as the problems.

[0005] The first problem is forcing employees to submit business ideas. In other words, in order to gather a large number of ideas, there are cases where business ideas are forcibly collected from employees under conditions such as "everyone must submit one idea" or "supervisors put pressure on employees." There is no set format for submission, or employees are required to write a very long document, placing a heavy burden on employees and forcing them to submit ideas with very low motivation. As a result, even if an idea is adopted as a new business, the originator may not be interested in working on it, and business development often does not progress due to a "lack of leadership."

[0006] The second problem is that there is no one who can judge the quality of the business proposals. In other words, even if many business ideas are collected, there are cases where the decision on which to promote as a new business is made solely by executives and the company's upper management. This again leads to a decline in employee motivation, and since the business is in an area that the executives themselves have never worked in, they may not be able to judge whether the business proposal is good or bad, and as a result, business development often does not progress.

[0007] The third problem is the limitations of manually soliciting and managing a large number of business proposals. Even in large companies, new business development departments are often small teams, limiting their ability to solicit, manage, and select a huge number of business proposals with limited resources. Furthermore, while business proposals are typically refined into excellent business plans through multiple rounds of bounce-back (pivots), resource constraints make it difficult to dig deep into and refine each business idea. As a result, the impression that "only boring business proposals have been collected" cannot be erased, and business development often stalls.

[0008] Even if existing generative AI tools are used to address these three issues, the fundamental problems will not be solved. In other words, even if existing generative AI tools are used, the first issue will simply result in a large number of business ideas, and the "lack of leadership" situation will remain unchanged. Regarding the second issue, generative AI will merely produce several business proposals with slightly improved accuracy, so the decision on whether to implement them will still be left to executives and upper management. Regarding the third issue, the situation where repeated business proposal bouncing and pivoting is not possible will remain unchanged.

[0009] An object of the present invention is to provide a business development efficiency improvement system, a business development efficiency improvement method, and a business development efficiency improvement program that can improve the efficiency of business development. [Means for solving the problem]

[0010] One aspect of the present invention is a business development efficiency system that uses a generative AI to improve the efficiency of business development, and includes: a communication unit that sends and receives information to a user terminal operated by a user; a proposal unit that, when a draft idea is received by the communication unit, instructs the generative AI to make proposals for specified consideration items based on the draft idea, obtains the proposal results output by the generative AI, and proposes them to the user; a storage unit that, when a revised proposal result is received by the communication unit, reflects the revised result in the proposal result and stores it in a database for each consideration item; and a creation unit that retrieves the saved information saved by the storage unit from the database and creates materials related to the business development using the retrieved saved information.

[0011] Another aspect of the present invention is a business development efficiency improvement method that uses a generation AI to make business development more efficient, comprising the steps of: a communication step in which a computer sends and receives information to a user terminal operated by a user; a proposal step in which, when a draft idea is received in the communication step, the computer instructs the generation AI to make a proposal for specified consideration items based on the draft idea, and obtains the proposal results output by the generation AI and proposes them to the user; a storage step in which, when a revised result of the proposal result is received in the communication step, the revision result is reflected in the proposal result and stored in a database for each consideration item; and a creation step in which the saved information saved in the storage step is retrieved from the database and the retrieved saved information is used to create materials related to the business development.

[0012] Another aspect of the present invention is a business development efficiency improvement program for improving the efficiency of business development using a generation AI, which has a computer execute a communication step of sending and receiving information between the computer and a user terminal operated by a user, a proposal step of, when a draft idea is received in the communication step, instructing the generation AI to make a proposal for specified consideration items based on the draft idea, obtaining the proposal results output by the generation AI and proposing them to the user, a storage step of, when a revised result of the proposal result is received in the communication step, reflecting the revised result in the proposal result and storing it in a database for each consideration item, and a creation step of retrieving the saved information saved in the storage step from the database and creating materials related to the business development using the recalled saved information. [Effects of the Invention]

[0013] According to the present invention, it is possible to provide a business development efficiency improvement system, a business development efficiency improvement method, and a business development efficiency improvement program that can improve the efficiency of business development. [Brief explanation of the drawings]

[0014] [Figure 1]1 is a configuration diagram of a business development efficiency improvement system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a functional block diagram of the server device shown in FIG. [Figure 3] FIG. 2 is a conceptual diagram conceptually illustrating the features of the business development efficiency improvement system shown in FIG. 1. [Figure 4] 3 is an explanatory diagram of an example of the structure of data stored in the storage device shown in FIG. 2; FIG. [Figure 5] 2 is a sequence diagram showing an example of the operation of the business development efficiency improvement system shown in FIG. 1. [Figure 6] 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1. FIG. [Figure 7] 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1. FIG. [Figure 8] 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1. FIG. [Figure 9] 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1. FIG. [Figure 10] FIG. 2 is a schematic diagram showing an idea sheet according to an embodiment of the present invention. [Figure 11] FIG. 1 is a schematic diagram showing a business blueprint according to an embodiment of the present invention. [Figure 12] 1 is a schematic diagram showing a presentation material according to an embodiment of the present invention; [Figure 13] 1 is a schematic diagram illustrating a website according to an embodiment of the present invention. [Figure 14] FIG. 3 is a hardware configuration diagram of the server device shown in FIG. 2. DETAILED DESCRIPTION OF THE INVENTION

[0015] Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, the embodiments described below are merely examples. In other words, the embodiments described below can be implemented with various modifications within the scope of the spirit thereof. In the drawings, parts with the same reference numerals represent the same or similar parts unless otherwise specified.

[0016] "overview" An embodiment of the present invention relates to a business development efficiency improvement system that uses generative AI to improve the efficiency of business development. This business development efficiency system can generate all the information and data necessary for business development, such as creating a proposal, checking the market, and recruiting supporters, all at once. It can be said to be an AI tool that relies on AI for most of the tasks required for business development and allows you to focus on the remaining tasks.

[0017] <Business development efficiency system> Figure 1 is a configuration diagram of a business development efficiency improvement system according to an embodiment of the present invention. This business development efficiency improvement system is a system that improves the efficiency of business development using a generation AI 30. The term "business development" here includes both "development of a new business in a company" and "launching a business idea in a startup."

[0018] As shown in FIG. 1, a user terminal 10, a server device 20, and a generation AI 30 are connected via a network such as the Internet network N. The user terminal 10 is a personal computer, smartphone, or the like operated by a user U of the system. The server device 20 is a computer that uses the generation AI 30 to streamline business development and is managed by a business operator that provides the system. The generation AI 30 is a computer (external server) that provides the functions of the generation AI. In addition, the system may include external servers such as a DB server.

[0019] 《Generation AI》 The generation AI 30 is an artificial intelligence that generates new data, such as text and images, based on learning data. In this embodiment of the present invention, the generation AI 30 uses the interactive AI chat service "ChatGPT" developed by OpenAI. The generation AI 30 may also have image generation functions such as DALL-E. In the following description, it is assumed that the server device 20 uses the ChatGPT Application Programming Interface (API) to provide a web service incorporating ChatGPT functions. Information entered into ChatGPT in this web service is set not to be used as a learning target for ChatGPT.

[0020] Server device Fig. 2 is a functional block diagram of the server device 20 shown in Fig. 1. The server device 20 is a computer that uses the generation AI 30 to improve the efficiency of business development, and functionally includes a communication unit 21, a proposal unit 22, a storage unit 23, and a creation unit 24, as shown in Fig. 2.

[0021] The communication unit 21 transmits and receives information to and from the user terminal 10 operated by the user U. When the communication unit 21 receives a draft of an idea, the proposal unit 22 instructs the generation AI 30 to make a proposal for a specified item of consideration based on the draft of the idea, obtains the proposal result output by the generation AI 30, and proposes it to the user U. When the communication unit 21 receives a revised result of the proposal result, the storage unit 23 reflects the revised result in the proposal result and stores it in the database 26B for each item of consideration. The creation unit 24 retrieves the saved information saved by the storage unit 23 from the database 26B and creates materials related to business development using the retrieved saved information. Each of these functional units can be realized in a computer by having a CPU (Central Processing Unit) or GPU (Graphics Processing Unit) execute a program loaded on memory.

[0022] The storage device 26 is a device that stores learning data 26A, a database 26B, etc. The data stored in the storage device 26 is referenced by each functional unit of the server device 20 as needed. Although not shown, the storage device 26 also stores account information (such as a user ID, password, and profile of user U) and various programs.

[0023] In addition, the server device 20 is also equipped with various devices that are included in a general computer, such as a display device, input devices such as a keyboard and a mouse, a reading device for reading a recording medium, etc. Of course, the above-mentioned functional units and devices may be distributed across multiple physically different computers.

[0024] Comparison with general generative AI tools Incidentally, as shown in Figure 3(A), a typical generative AI tool takes in textual input of ideas that people have come up with or management resources owned by a company, and the generative AI then simultaneously generates multiple new business proposals A, B, C, ... based on this. However, even if many ideas can be generated at once in this way, simply generating the ideas often does not allow them to be used in actual business. Furthermore, typical generative AI tools do not allow for the inheritance of information, and once the information is output in one go, it cannot be reprocessed, so it takes a considerable amount of effort to turn the information into something that can actually be used in business. Therefore, in an embodiment of the present invention, the following method is adopted to turn ideas into something that can actually be used in business.

[0025] That is, in an embodiment of the present invention, as shown in FIG. 3(B), when a person inputs an idea they have come up with in text form, the generation AI 30 generates output for a specific consideration item based on this and proposes it to the person. When the person refines the proposal result, the refined result is reflected and the summary is saved in database 26B1. When the generation AI 30 generates output for the next consideration item, the summary saved in database 26B1 is called and subsequent data is created. After repeated refinements for several consideration items in this way, when the necessary materials for business development (e.g., idea sheets) are completed, the materials can be downloaded in PDF (Portable Document Format). Furthermore, if a person modifies any consideration item in the material, the database 26B1 for that consideration item is also modified. When the person requests the generation AI 30 to re-propose a subsequent consideration item, the generation AI 30 re-proposes the new proposal reflecting the revisions.

[0026] As described above, according to the embodiment of the present invention, it is possible to gradually flesh out and shape a vague idea through a back-and-forth between the person and the generation AI 30. In addition, because there are databases 26B1, 26B2, 26B3, ... for each item under consideration, it is possible to go back and reconsider, revise, and remake something new along the way.

[0027] <<Data configuration example>> FIG. 4 is an explanatory diagram of an example of the data configuration stored in the storage device 26 shown in FIG. 2. As shown in FIG. 4, the storage device 26 stores learning data 26A and databases 26B1, 26B2, 26B3, ... (collectively referred to as "database 26B"). These data are managed for each user U in a closed environment within the server device 20. A closed environment means a communication network that cannot be directly accessed from the outside. Of course, this example of data configuration is merely illustrative, and various modifications are possible. For example, the learning data 26A may be configured as an integrated unit with the database 26B, or may be linked to other data.

[0028] As shown in FIG. 4(A), the learning data 26A may be a set of information such as "question type," "question," and "answer" that is associated with each business ID. The business ID is identification information for the business development (idea). The "question type" indicates the type of question to be presented to the user U. The "question" indicates the question text to be displayed on the user terminal 10. The "answer" indicates the answer text to the question.

[0029] As shown in FIG. 4B, databases 26B1, 26B2, 26B3, etc. may associate business IDs with summaries. A summary is a summary of the "answer" in FIG. 4A. For example, information up to the section indicated by reference character [1] in FIG. 4A is summarized as [1] and proposed to user U. As shown in FIG. 4B, the summary [1] is stored in database 26B1. In the next step, the previous summary [1] is retrieved from the previous database 26B1, and new information is added to the section indicated by reference character [2] in FIG. 4A. The resulting summary [2] is stored in the next database 26B2. In the next step, the previous summary [2] is retrieved from the previous database 26B2, and new information is added to the section indicated by reference character [3] in FIG. 4A. The resulting summary [3] is stored in the next database 26B3. In this way, since there are databases 26B1, 26B2, 26B3, . . . for each consideration item, a summary is saved in the server device 20 every time a step is taken, and the summary can be called up each time to create subsequent information.

[0030] As can be seen from the above explanation, the terms "previous," "later," and "next," such as "previous summary," "later summary," and "next database," refer to the order in which steps are taken (in other words, the chronological order when multiple proposals are made). These terms will also be used below to simplify the explanation.

[0031] <<Example of operation>> Fig. 5 is a sequence diagram showing an example of the operation of the business development efficiency improvement system shown in Fig. 1. Here, it is assumed that a user U operates the user terminal 10 to access a website provided by the server device 20, and logs in by entering a user ID and password.

[0032] First, when a user U creates a new idea and inputs a draft of the idea in text (steps S1 → S2), the input draft of the idea is received by the server device 20. The function of the server device 20 to communicate with the user terminal 10 is realized by the communication unit 21 of the server device 20.

[0033] As a result, the proposal unit 22 of the server device 20 instructs the generation AI 30 to generate a 5W1H based on the original idea draft, and when the generation AI 30 outputs the 5W1H generation result (proposal result), it proposes the generation result to the user U (steps S3 → S4). 5W1H is a term that refers to the six elements of "When," "Where," "Who," "What," "Why," and "How." What the generation AI 30 outputs is a sentence (text) organized into 5W1H, which will be expressed as the "5W1H generation result."

[0034] Next, when the user U requests a re-proposal of the 5W1H (step S5), the proposing unit 22 of the server device 20 instructs the generation AI 30 to re-propose the 5W1H, and when the generation AI 30 outputs the re-proposed result of the 5W1H, the re-proposed result is proposed to the user U (steps S6 → S7). That is, if the user U does not like the result generated by the generation AI 30, he or she can request the generation AI 30 to make a re-proposal, such as "make the target a little younger."

[0035] Next, when the user U manually corrects the 5W1H (step S8), the suggestion unit 22 of the server device 20 reflects the correction result in the display content (step S9). In other words, if the user U does not like the result generated by the generation AI 30, he or she can correct it himself or herself to an appropriate expression.

[0036] As a result, the storage unit 23 of the server device 20 summarises the result reflecting the revisions as [1] and stores it in the database 26B1 (step S10). The summary [1] can be said to be a summary of the 5W1H proposed by the generation AI 30 as revised by the user U.

[0037] Next, when the user U requests a keyword suggestion for the idea (step S11), the suggestion unit 22 of the server device 20 retrieves the abstract [1] from the database 26B1, instructs the generation AI 30 to generate keywords based on the abstract [1], and when the generation AI 30 outputs the keywords, the suggestion unit 22 suggests the keywords to the user U (steps S12 → S13). Here, it is assumed that multiple recommended keywords have been suggested.

[0038] Next, when the user U selects an important keyword from among the multiple keywords (step S14), the suggestion unit 22 of the server device 20 reflects the selected keyword in the displayed content and merges the result reflecting the keyword with the summary [1] (steps S15 → S16). "Merging" means combining (adding substance to) information.

[0039] As a result, the storage unit 23 of the server device 20 summarizes the merged results as Summary [2] and stores it in the database 26B2 (step S17). Summary [2] can be said to be a summary sentence that combines the keywords selected by the user U with Summary [1].

[0040] Next, when the user U requests a business title suggestion (step S18), the suggestion unit 22 of the server device 20 retrieves the abstract [2] from the database 26B2 and instructs the generation AI 30 to generate a business title based on the abstract [2]. Once the generation AI 30 generates the business title, it proposes the business title to the user U (steps S19 → S20). Here, it is assumed that multiple recommended business titles have been proposed.

[0041] Next, when user U selects an appropriate business title from among the multiple business titles (step S21), the same process as above continues. That is, although not shown in the figure, server device 20 reflects the selected business title in the display content, merges the result reflecting the business title with summary [2], and saves the merged result as summary [3] in database 26B3. Summary [3] can be said to be a summary sentence that combines the business title selected by user U with summary [2].

[0042] Once all (n) considerations have been completed, business development materials (hereafter referred to as materials) can be created. The term "materials" here is to be interpreted broadly and includes any information that may be needed to advance business development, such as idea sheets and websites.

[0043] For example, the creation unit 24 of the server device 20 creates databases 26B1 to 26B n The necessary information is retrieved from the summaries [1] to [n] stored in the file, and the retrieved information is used to create a clean copy and output as a single document (steps S22 to S23). For example, the document may be an idea sheet, a business blueprint, a presentation document, etc., and is created in HTML (HyperText Markup Language) format at this point. When the document is provided to the user terminal 10, a download button is displayed near the document display area, and the HTML file is configured so that the document is downloaded in PDF format when the download button is clicked. As a result, when user U clicks the download button, the document is downloaded in PDF format to the user terminal 10 (step S24).

[0044] The creation unit 24 of the server device 20 also stores databases 26B1 to 26B nIt is also possible to call up the necessary information from among the summaries [1] to [n] stored in the server device 20 and output the source code of the website using the called-up information (step S25). In this case, a publish button is displayed near the display area of ​​the material, and the HTML file is configured so that when the publish button is clicked, the material is made public on the Internet. As a result, when user U requests the publication of a website (step S26), the creation unit 24 of the server device 20 automatically generates a subdomain and makes it public on the web server (steps S27 → S28).

[0045] <<Screen example>> 6 to 9 show examples of screens displayed on the user terminal (smartphone) 10 shown in Fig. 1. Of course, these screen examples are merely illustrative and various modifications are possible. Here, an example is shown in which the process proceeds in the following order: organizing ideas (Step 1) → generating a business blueprint (Step 2) → generating presentation materials (Step 3) → generating a website (Step 4).

[0046] First, when a command is given to create a new idea on the user terminal 10, the process proceeds to Step 1, where an idea sheet is generated, as shown in FIG. 6(A), and a screen for inputting the original idea is displayed. The original idea does not need to be written in a coherent manner; it can simply be written as it comes to mind. Here, it is assumed that the following sentence is entered in the text input field 61: "Startups have few personal connections, making it difficult to find the right tax accountant. For this reason, I would like to create a matching site where startups can meet tax accountants who are knowledgeable about startups online."

[0047] If the user U presses the Next button 62 in this state, a screen for organizing the idea into 5W1H will be displayed, as shown in FIG. 6(B), and the user can have the generation AI 30 propose the 5W1H. Here, the content "After the startup is established, ..." is displayed in the input field 64A for When. Similarly, the results of suggestions by the generation AI 30 are displayed in the respective input fields 64B, 64C, 64D, ... for the 4W1H other than When. If the user U does not like the proposed content, the user U can press the Re-Propose button 63 to have the generation AI 30 re-propose the 5W1H. Furthermore, if there is any expression in the proposed content that bothers the user U, the user U can manually correct it.

[0048] Furthermore, by pressing the Next button (not shown), a screen for extracting keywords is displayed as shown in FIG. 7(A), and recommended keywords can be suggested by the generation AI 30. Here, from among the suggested keywords, the user U selects three keywords that he or she wants to emphasize, such as "matching accuracy" and "experienced tax accountant," and these are displayed in input fields 72A and 72B. As with the above, the user U can have the generation AI 30 suggest new keywords by clicking the Re-Suggest button 71, or can manually correct the keywords.

[0049] Furthermore, by pressing the Next button (not shown), a screen for deciding the business title and summary is displayed, as shown in FIG. 7(B), and the generation AI 30 can be made to suggest a recommended title and summary. Here, from among several suggested titles, the user U selects "Money Wars! Startup Tax Matching...", which is displayed in the input field 74. Also, the business summary suggested by the generation AI 30 is displayed in the input field 76. As with the above, the user U can have the generation AI 30 make a new proposal by pressing the re-suggest button 73 (75), or can manually correct the proposal.

[0050] Furthermore, when the Next button (not shown) is pressed, a screen for confirming the enthusiasm of the user U is displayed, as shown in Fig. 7(C). For example, the user U can freely enter information in the input field 77 about what kind of person he or she is, why he or she wants to do this business, etc.

[0051] If the user presses the suggestion button 78 in this state, the generation AI 30 will provide feedback on the entirety of Step 1, summarizing what points need attention. For example, when evaluating this business, feedback may be provided taking into account points such as "clarifying market needs," "providing differentiated services," "considering pricing strategies," "ensuring user trust and safety," "enhancing user support," "providing expertise," and "considering scalability." This allows the user U to modify the content of Step 1 as needed.

[0052] At this point, if the Step 1 update button 79 is pressed, an idea sheet will be displayed. Specific examples of idea sheets will be described later. If there is any expression in the idea sheet that concerns the user U, the user U can manually edit it and create a new one. In other words, when the idea sheet is edited, the contents of database 26B, which stores the information necessary to create that idea sheet, are also edited (the same applies to other materials). Once the idea sheet is complete, the user can press the download button (not shown) to download the idea sheet in PDF format.

[0053] Next, when the user instructs the creation of a business blueprint, the process transitions to Step 2, where the business blueprint is generated, and a screen appears for selecting the target of service, customers, etc. Here, as shown in Figure 8(A), an example is shown in which "BtoB" has been selected as the target of service 81. Also, as shown in Figure 8(B), "Early Startup" is proposed by the generation AI 30 in the customer input field 83. Although not shown, the value to be provided, sales channels, customer relationships, revenue streams, etc. are also discussed in dialogue with the generation AI 30. As with the above, the user U can have the generation AI 30 make a new proposal by clicking the re-proposal button 82, or can manually edit the proposal.

[0054] At this point, pressing the Step 2 Update button (not shown) will display the business blueprint. Specific examples of business blueprints will be described later. If there is any expression in the business blueprint that bothers the user U, they can manually edit it to create a new one. Once the business blueprint is complete, pressing the Download button (not shown) will allow the business blueprint to be downloaded in PDF format.

[0055] Next, the user moves to Step 3, where a pitch deck or other presentation material is generated, and the user continues to interact with the generation AI 30 in a similar manner. A pitch deck is a presentation material primarily created by startups to explain their company profile, business plan, and vision. Here, as shown in Figure 9(A), an image of the pitch deck is displayed in the display area 91. Once the pitch deck is complete, the user can press the download button (not shown) to download the pitch deck in PDF format.

[0056] Next, the process moves to Step 4, where a website such as an LP (landing page) is generated, and consideration is continued while interacting with the generation AI 30 using a similar method. An LP is a web page specialized for a product or service. Here, as shown in Figure 9(B), an image of the LP is displayed in the display area 95. Once the LP is complete, pressing the publish button 92 allows the LP to be published on the Internet. Pressing the unpublish button 93 allows the LP to be unpublished, and pressing the edit button 94 allows the LP to be edited.

[0057] Although not shown in the figure, you can also add steps such as generating advertisements and questionnaires, and soliciting supporters. By adding these steps, you can check the market reaction to the business. Therefore, if the market reaction is not good, you can go back and reconsider, revise, and remake it into something new.

[0058] As described above, the business development efficiency system according to an embodiment of the present invention allows users to receive multiple services related to business development in one place while interacting with the generation AI 30. While the interactive response generation function itself is implemented by ChatGPT, obtaining the intended response requires prompts (instructions) optimized for business development. The company providing this system (the inventor) provides a matching service exclusively for entrepreneurs and regularly discusses startup ideas, thereby gaining expertise in streamlining business development. Based on this expertise, the prompts are constantly optimized. The steps of organizing ideas (Step 1), generating a business blueprint (Step 2), generating presentation materials (Step 3), and generating a website (Step 4) are also based on this expertise. Furthermore, the steps of organizing ideas (Step 1), including organizing the 5W1H (5W1H), setting keywords, setting a business title, setting a business overview, and so on, are also based on this expertise. By following these steps, even a vague idea can be input and the intended response can be smoothly obtained, enabling the rapid creation of a business plan.

[0059] <Example of materials> FIG. 10 is a schematic diagram showing an idea sheet 101 in an embodiment of the present invention. As shown in FIG. 10, the idea sheet 101 includes information such as "business title," "business summary," "keywords," "why do you want to do this," and "about me." Of course, the contents of this idea sheet 101 are merely examples, and various changes can be made using information such as summaries [1] to [n]. The contents of the idea sheet 101 are the same in both HTML and PDF formats, but when provided to the user terminal 10 in HTML format, a download button is displayed near the display area of ​​the idea sheet 101. There are no particular limitations on when the download button is displayed, but it can be displayed as soon as the material is completed (when the necessary information is stored in databases 26B1 to 26B2). n It is preferable to set the time as the time when the data is saved in the database.

[0060] FIG. 11 is a schematic diagram showing a business blueprint 111 in an embodiment of the present invention. Here, a business model canvas is shown as an example of the business blueprint 111. As shown in FIG. 11, the business blueprint 111 includes information such as "major partners," "major activities," "major resources," "value provided," "relationships with customers," "channels / sales routes," "customers," "cost structure," and "revenue flow." Since other points are the same as those in the idea sheet 101, detailed explanations will be omitted.

[0061] 12 is a schematic diagram showing a presentation material 121 according to an embodiment of the present invention. Here, a pitch deck is shown as an example of the presentation material 121. As shown in FIG. 12, the presentation material 121 includes information such as "Summary," "Competitor Information," and "Market Size." Since other aspects are the same as those of the idea sheet 101, detailed explanations will be omitted.

[0062] FIG. 13 is a schematic diagram showing a website 131 according to an embodiment of the present invention. Here, an LP is shown as an example of the website 131. As shown in FIG. 13, the website 131 is specialized in providing a service that matches entrepreneurs with the most suitable tax accountants. As shown in FIG. 9(B), a publish button 92, a stop publishing button 93, and an edit button 94 are displayed near the display area of ​​the website 131. Other aspects are the same as those of the idea sheet 101, and therefore detailed explanations will be omitted.

[0063] <Hardware configuration example> FIG. 14 is a hardware configuration diagram of the server device 20 shown in FIG. 2. For example, as shown in FIG. 14, a processor 20A, a memory 20B, a storage unit 20C, an IF (Interface) unit 20D, an input / output unit 20E, and a reading unit 20F are connected to each other via a bus 20I so as to be able to communicate with each other. The processor 20A is an arithmetic processing unit that performs various controls and calculations. The memory 20B is a volatile memory that stores various data and programs. The storage unit 20C is a non-volatile memory that stores various data and programs. The IF unit 20D is a device that controls communication with other terminals. The input / output unit 20E is an input device that inputs data and an output device that outputs data. The reading unit 20F is a device that reads data and programs recorded on a computer-readable recording medium. Of course, the server device 20 may also be equipped with various other devices that are included in a general computer. In such a computer, the processor 20A controls each device to realize each functional unit of the server device 20 shown in FIG. 2.

[0064] Characteristic configuration and effects of the present invention As described above, the business development efficiency improvement system (server device 20) according to an embodiment of the present invention is a system for improving the efficiency of business development using the generation AI 30, and includes a communication unit 21, a proposal unit 22, a storage unit 23, and a creation unit 24. The communication unit 21 transmits and receives information to the user terminal 10 operated by the user U. When the communication unit 21 receives a draft of an idea, the proposal unit 22 instructs the generation AI 30 to make a proposal for a specific item of consideration based on the draft of the idea, acquires the proposal results output by the generation AI 30, and proposes the proposal to the user U. When the communication unit 21 receives a revised proposal result, the storage unit 23 reflects the revision result in the proposal result and stores the revised proposal result in the database 26B for each item of consideration. The creation unit 24 retrieves the saved information stored by the storage unit 23 from the database 26B and uses the retrieved saved information to create materials related to business development. This allows the system to quickly create all materials and data necessary for business development while interacting with the generation AI 30, thereby improving the efficiency of business development.

[0065] Furthermore, when the proposing unit 22 makes multiple proposals, the saving unit 23 may call up the saved information saved in the previous database 26B1, add new information, and save it in the next database 26B2. This allows a vague idea to be fleshed out little by little, and the idea to take shape (to become something that can actually be used in business).

[0066] Furthermore, the storage unit 23 may revise the information stored in the previous database 26B based on the results of the later revision. Here, the terms "after" in "later revision result" and "before" in "previous database" refer to the temporal relationship when multiple proposals are made, as described above. For example, if you press the Step 1 update button 79 (see FIG. 7) and the idea sheet is displayed, and then revise the idea sheet, the contents of the database 26B that stores the information necessary to create the idea sheet will be revised. This makes it possible to go back and reconsider, revise and remake the idea sheet into a new one.

[0067] The storage unit 23 may also summarize the stored information and store it in databases 26B1, 26B2, 26B3, etc. Storing the summarized information in databases 26B1, 26B2, 26B3, etc. in this way has two advantages: convenience for the user U and cost benefits for the system provider. Specifically, as elements are subsequently fleshed out, if the amount of information loaded each time becomes large, the response of the generation AI 30 becomes slow. However, by summarizing and storing the information in databases 26B1, 26B2, 26B3, etc., the amount of information reduced prevents a decrease in response speed. Furthermore, if there is a lot of unnecessary information, truly important information becomes obscured, resulting in poorly conceived ideas. However, by reducing the unnecessary information through summarization, truly important information becomes more prominent, improving the accuracy of ideas. Furthermore, when ChatGPT is used as the generation AI 30, ChatGPT's API charges a metered fee based on the amount of information loaded and output, so loading summarized text reduces usage fees.

[0068] Furthermore, when a draft of an idea is received by the communication unit 21, the suggestion unit 22 may first propose a sentence in which the draft of the idea is organized into 5W1H. By first organizing the draft of the idea into 5W1H in this way, unnecessary information is reduced at an early stage, and thereafter, the accuracy of inference by the generation AI 30 is improved.

[0069] Furthermore, when the materials related to business development are completed, the creation unit 24 may provide the materials to the user terminal 10 as an HTML file, and display a download button together with the materials, and configure the HTML file so that the materials are downloaded in PDF format when the download button is clicked. Currently, the information generated by the generation AI 30 is only displayed as text or an image, so if the information could be obtained in PDF format simply by clicking the download button, the convenience for the user U would be greatly improved.

[0070] Furthermore, when the materials related to business development are completed, the creation unit 24 may provide the materials to the user terminal 10 as an HTML file and display a publish button together with the materials, and may configure the HTML file so that the materials are published on the Internet when the publish button is clicked. If the materials (website) can be automatically published on the Internet with a single click of a button, without having to sign a contract for a new server or domain, the convenience of the user U will be greatly improved.

[0071] Furthermore, the data input to the generation AI 30 may be set not to be the learning target of the generation AI 30, and may be managed for each user U in a closed environment (environment within the closed server device 20) within the business providing the business development efficiency improvement system. This not only prevents the problem of ideas or trade secrets being used by other users U, but also allows learning to be performed within the server device 20 for each individual user U, thereby improving the accuracy of ideas.

[0072] The present invention can be realized as a business development efficiency improvement method in which each step corresponds to each of the characteristic functional units of such a business development efficiency system, or as a business development efficiency improvement program for causing a computer to execute those steps. Such a business development efficiency improvement program can be installed on a computer via a computer-readable recording medium or via a network such as the Internet N.

[0073] [Other embodiments] Although the embodiments of the present invention have been described above, the descriptions and drawings forming part of the disclosure are illustrative and should not be understood as limiting. From this disclosure, various alternative embodiments, examples, and operating techniques will become apparent to those skilled in the art. [Explanation of symbols]

[0074] 10 User terminal 20 Server device 21 Communications Department 22 Proposal Department 23 Preservation Department 24 Creation Department 26 Storage device 26A Training Data 26B, 26B1, 26B2, 26B3, 26B n Database 30 Generation AI U User

Claims

1. A business development efficiency improvement system that uses generative AI to improve the efficiency of business development, a communication unit for transmitting and receiving information to and from a user terminal operated by a user; When the communication unit receives a draft of the idea, the communication unit instructs the generation AI to make a proposal for a predetermined matter to be considered based on the draft of the idea, and a proposal unit acquires the proposal result output by the generation AI and proposes it to the user; a storage unit that, when a correction result obtained by correcting the proposal result is received by the communication unit, reflects the correction result in the proposal result and stores the result in a database for each of the consideration items; a creation unit that retrieves the stored information stored by the storage unit from the database and creates materials related to the business development using the retrieved stored information; A business development efficiency system equipped with:

2. The business development efficiency system of claim 1, wherein when the proposal unit makes multiple proposals, the storage unit retrieves the stored information stored in the previous database, adds new information, and stores it in the next database.

3. The business development efficiency system according to claim 2 , wherein the storage unit modifies the information stored in the previous database based on the result of the subsequent modification.

4. The business development efficiency system according to claim 1 , wherein the storage unit summarizes the stored information before storing it in the database.

5. 2. The business development efficiency improvement system according to claim 1, wherein when a draft of an idea is received by the communication unit, the proposal unit first proposes a sentence that organizes the draft of the idea into 5W1H.

6. The business development efficiency system of claim 1, wherein the creation unit provides the materials related to the business development to the user terminal as an HTML file when the materials are completed, displays a download button along with the materials, and configures the HTML file so that when the download button is clicked, the materials are downloaded in PDF format.

7. The business development efficiency system described in claim 1, wherein the creation unit provides the materials related to the business development to the user terminal as an HTML file when the materials are completed, displays a publish button along with the materials, and configures the HTML file so that when the publish button is clicked, the materials are made public on the Internet.

8. The business development efficiency system of claim 1, wherein the data input to the generation AI is set not to be learned by the generation AI, and is managed for each user in a closed environment within the business that provides the business development efficiency system.

9. A business development efficiency improvement method for improving the efficiency of business development using generative AI, The computer a communication step of transmitting and receiving information to and from a user terminal operated by a user; When a draft of the idea is received in the communication step, the generation AI is instructed to make a proposal for a predetermined matter to be considered based on the draft of the idea, and a proposal step is performed to obtain the proposal result output by the generation AI and propose it to the user; a storing step of, when a modified result obtained by modifying the proposal result is received in the communicating step, reflecting the modified result in the proposal result and storing the result in a database for each of the consideration items; a creating step of retrieving the stored information stored in the storing step from the database and creating materials related to the business development using the retrieved stored information; A method for implementing business development efficiency.

10. A business development efficiency program for improving the efficiency of business development using generative AI, On the computer, a communication step of transmitting and receiving information to and from a user terminal operated by a user; When a draft of the idea is received in the communication step, the generation AI is instructed to make a proposal for a predetermined matter to be considered based on the draft of the idea, and a proposal step is performed to obtain the proposal result output by the generation AI and propose it to the user; a storing step of, when a modified result obtained by modifying the proposal result is received in the communicating step, reflecting the modified result in the proposal result and storing the result in a database for each of the consideration items; a creating step of retrieving the stored information stored in the storing step from the database and creating materials related to the business development using the retrieved stored information; A business development efficiency program that implements the above.

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