JP7751900B1 - Business development efficiency system, business development efficiency method, and business development efficiency program - Google Patents

Abstract

The present invention provides a business development efficiency system, a business development efficiency method, and a business development efficiency program that can improve the efficiency of business development.
[Solution] The business development efficiency system comprises a communication unit 21 that sends and receives information to a user terminal 10 operated by a user U, a proposal unit 22 that, when a draft idea is received by the communication unit 21, instructs a generation AI 30 to make a proposal for specified items for consideration based on the draft idea, acquires the proposal results output by the generation AI 30, and proposes them to the user U, a storage unit 23 that, when a revised proposal result is received by the communication unit 21, reflects the revised result in the proposal result and stores it in a database 26B for each item for consideration, and a creation unit 24 that 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.
[Selected Figure] Figure 2

Description

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.

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).

Spready Inc., "HASSAN β version," searched March 25, 2024, Internet <URL: https://prtimes.jp/main/html/rd/p/000000005.000109102.html> Product Management DAO, "Value Discovery," searched on March 25, 2024, Internet <URL: https://productzine.jp/article/detail/1695>

However, regardless of whether or not generative AI is used, there are many barriers to new business development in companies, and many cases have resulted in failure. The following three points are considered to be the problems.

The first problem is that companies forcefully solicit business ideas from employees. In other words, in order to gather a large number of candidates, they sometimes try to forcefully collect business ideas from employees under conditions such as "everyone must submit one idea" or "supervisors put pressure on employees." Employees are burdened with a large amount of writing required, with no set submission format, and they are forced 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 keen on working on it, and business development often does not progress due to a "lack of leadership."

The second problem is that there is no one who can judge the merits of a business proposal. In other words, even if many business ideas are collected, there are cases where the decision on which to pursue 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 before, 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.

The third problem is that there are limits to the number of people who can manually solicit and manage a large number of business proposals. That is, even in large companies, new business development departments are often run by small teams, and there are limits to the amount of resources available to solicit, manage, and select a huge number of business proposals. 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 deeper and refine each business idea, and as a result, the impression that "only boring business proposals have been collected" cannot be shaken, and business development often does not progress.

Even if existing generative AI tools are used to solve these three problems, the fundamental issues will not be resolved. In other words, even if existing generative AI tools are used, the first problem will simply result in a large collection of business ideas, and the "lack of leadership" situation will remain unchanged. Furthermore, with regard to the second problem, generative AI will merely produce multiple business proposals with slightly improved accuracy, so the decision on whether to implement them will still be left to executives and upper management. Furthermore, with regard to the third problem, the situation of being unable to repeatedly bounce ideas off each other or pivot will remain unchanged.

The present invention aims to provide a business development efficiency system, a business development efficiency method, and a business development efficiency program that can improve the efficiency of business development.

One aspect of the present invention is a business development efficiency system that uses a generation AI to improve the efficiency of business development, comprising: a communications 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 communications unit, instructs the generation AI to make proposals for specified considerations based on the draft idea, and obtains the proposal results output by the generation AI and proposes them to the user; a storage unit that, when a revised proposal result is received by the communications unit, reflects the revision result in the proposal result, summarizes the reflected results, and stores them in a database for each consideration; and a creation unit that retrieves the summaries stored by the storage unit from the database and creates materials related to the business development using the retrieved summaries, wherein the proposal unit retrieves the summaries from the database, instructs the generation AI based on the retrieved summaries, and adds new information to the retrieved summaries; the storage unit stores the summaries in the database after being enriched by the proposal unit ; and, if any consideration items in the business development materials are revised by the user, modifies the contents of the database in which the optional consideration items are stored .

Another aspect of the present invention is a business development efficiency improvement method that uses a generation AI to improve the efficiency of business development, the method comprising: 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 of an idea is received in the communication step, the computer instructs the generation AI to make proposals for specified considerations 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 computer reflects the revision result in the proposal result, summarizes the reflected results, and stores them in a database for each consideration; and a creation step in which the summaries saved in the storage step are retrieved from the database and used to create materials related to the business development, the proposal step retrieves the summaries from the database, instructs the generation AI based on the retrieved summary, and adds new information to the retrieved summary; and the storage step stores the summary after being enhanced in the proposal step in the database, and if any considerations in the business development materials are revised by the user, the contents of the database in which the any considerations are saved are revised .

and a creation step of calling up the summaries saved in the saving step from the database and using the called summaries to create materials related to the business development. In the calling up step, the summaries are called up from the database, and instructed to the generation AI based on the called summary, and new information is added to the called summary. In the saving step, the summary that has been added in the calling up step is saved in the database. In the saving step, the summary that has been added in the calling up step is saved in the database. In the business development material, if any of the considerations in the material is modified by the user, the content of the database in which the considerations are saved is modified .

The present invention makes it possible to provide a business development efficiency system, a business development efficiency method, and a business development efficiency program that can improve the efficiency of business development.

1 is a configuration diagram of a business development efficiency improvement system according to an embodiment of the present invention. FIG. 2 is a functional block diagram of the server device shown in FIG. 1 . FIG. 2 is a conceptual diagram conceptually illustrating features of the business development efficiency improvement system shown in FIG. 1 . 3 is an explanatory diagram of an example of the structure of data stored in the storage device shown in FIG. 2; FIG. FIG. 2 is a sequence diagram illustrating an example of the operation of the business development efficiency improvement system illustrated in FIG. 1 . 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1; FIG. 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1; FIG. 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1; FIG. 2 is a schematic diagram showing an example of a screen displayed on the user terminal shown in FIG. 1; FIG. FIG. 2 is a schematic diagram showing an idea sheet according to an embodiment of the present invention. FIG. 1 is a schematic diagram showing a business blueprint according to an embodiment of the present invention. 1 is a schematic diagram showing a presentation material according to an embodiment of the present invention; 1 is a schematic diagram showing a website according to an embodiment of the present invention; FIG. 3 is a hardware configuration diagram of the server device shown in FIG. 2 .

Embodiments of the present invention will be described below 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 their spirit. In the drawings, parts with the same reference numerals represent the same or similar parts unless otherwise specified.

"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.

<Business development efficiency system>
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" as used here includes "development of a new business in a company" and "launching a business idea in a startup."

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 the business operator that provides the system. The generation AI 30 is a computer (external server) that provides the functions of the generation AI. The system may also include external servers such as a database server.

《Generation AI》
The generation AI 30 is an artificial intelligence that generates new data such as text and images based on learning data. In the embodiment of the present invention, an example is shown in which the interactive AI chat service "ChatGPT" developed by OpenAI is used as the generation AI 30. 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) and provides a web service incorporating ChatGPT functions. Information entered into ChatGPT in this web service is set not to be learned by ChatGPT.

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.

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

The storage device 26 is a device that stores learning data 26A, 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 (user ID, password, user U's profile, etc.) and various programs.

In addition, the server device 20 is also equipped with various devices that are typically found in computers, such as display devices such as a monitor, input devices such as a keyboard and mouse, and a reading device for reading recording media. Of course, the above-mentioned functional units and devices may be physically distributed across multiple different computers.

<<Comparison with general generative AI tools>>
Incidentally, in a typical generative AI tool, as shown in FIG. 3(A), when a human idea or a company's business resources are input as text, the generative AI simultaneously generates multiple new business proposals A, B, C, etc. based on this. However, even if many ideas can be generated at once in this way, simply generating the ideas often does not make them usable in actual business. Furthermore, typical generative AI tools do not allow information to be inherited, and once the information is output in one go, it cannot be reprocessed, so it requires considerable 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.

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 up and subsequent data is created. After repeated refinements for several consideration items in this way, once the materials necessary for business development (e.g., idea sheets) are completed, the materials can be downloaded in PDF (Portable Document Format) 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 revised results.

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 generative AI 30. In addition, because there are databases 26B ₁ , 26B ₂ , 26B ₃ , ... for each item under consideration, it is possible to go back and reconsider an idea midway, revise it, and remake it into something new.

<<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 26B ₁ , 26B ₂ , 26B ₃ , ... (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 data configuration example 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 other data may be linked to it.

As shown in Figure 4 (A), the learning data 26A may associate information on "question type," "question," and "answer" with each business ID. The business ID is identification information for the business development (idea). "Question type" indicates the type of question to be presented to the user U. "Question" indicates the question text to be displayed on the user terminal 10. "Answer" indicates the answer text to that question.

As shown in FIG. 4B, databases _26B1 , _26B2 , _26B3 , ... may associate business IDs with summaries. The summaries are the summarized sentences of the "answers" shown in FIG. 4A. For example, the information up to the portion 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 indicated by reference character [2] in FIG. 4A is added to the summary and proposed to user U. As shown in FIG. 4B, the expanded 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 part indicated by reference character [3] in Figure 4(A) before being proposed to user U. As shown in Figure 4(B), the enhanced summary [3] is saved in the next database _26B3 . In this way, since there are databases _26B1 , _26B2 , _26B3 , ... for each item under consideration, a summary is saved in server device 20 at each step, and that summary can be recalled each time to create subsequent information.

As can be seen from the explanation above, the terms "previous," "later," and "next" in terms 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 suggestions are made). These terms will also be used below to simplify the explanation.

<<Example of operation>>
Figure 5 is a sequence diagram showing an example of the operation of the business development efficiency improvement system shown in Figure 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.

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

As a result, the proposal unit 22 of the server device 20 instructs the generation AI 30 to generate 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 referred to as the "5W1H generation result."

Next, when user U requests a re-proposal of 5W1H (step S5), the proposal unit 22 of the server device 20 instructs the generation AI 30 to re-propose 5W1H, and when the generation AI 30 outputs the re-proposed result of 5W1H, it proposes the re-proposed result to user U (steps S6 → S7). In other words, if user U does not like the result generated by the generation AI 30, he or she can request a re-proposal from the generation AI 30, such as "shifting the target a little more towards younger generations."

Next, when the user U manually corrects the 5W1H (step S8), the suggestion unit 22 of the server device 20 reflects the correction results in the displayed 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 find an appropriate expression.

As a result, the storage unit 23 of the server device 20 creates a summary [1] of the result reflecting the revisions 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.

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, suggests the keywords to the user U (steps S12 → S13). Here, it is assumed that multiple recommended keywords have been suggested.

Next, when 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 summary [1] (steps S15 → S16). "Merging" means combining (adding substance to) information.

The storage unit 23 of the server device 20 then creates a summary [2] of the merged results and stores it in the database _26B2 (step S17). Summary [2] can be considered a summary sentence that combines the keywords selected by the user U with Summary [1].

Next, when user U requests a business title suggestion (step S18), suggestion unit 22 of server device 20 retrieves abstract [2] from database _26B2 and instructs generation AI 30 to generate a business title based on abstract [2]. Once generation AI 30 generates the business title, it proposes the business title to user U (steps S19 → S20). Here, it is assumed that multiple recommended business titles have been proposed.

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 displayed 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].

Once all (n) considerations have been finalized, business development materials (hereinafter 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.

For example, the creation unit 24 of the server device 20 retrieves the necessary information from the summaries [1] to [n] stored in the databases 26B ₁ to 26B _n , creates a clean copy using the retrieved information, and outputs it as a single document (steps S22 to S23). For example, the document may be an idea sheet, a business blueprint, a presentation document, or the like, and is created in HTML (HyperText Markup Language) format at this stage. When the document is provided to the user terminal 10, a download button is displayed near the document's display area, and the HTML file is configured so that clicking the download button downloads the document in PDF format. Thus, when user U clicks the download button, the document is downloaded to the user terminal 10 in PDF format (step S24).

The creation unit 24 of the server device 20 can also retrieve necessary information from the summaries [1] to [n] stored in the databases 26B ₁ to 26B _n and use the retrieved information to output the source code of the website (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 the 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 and S28).

<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), and generating a website (Step 4).

First, when a command to create a new idea is given on the user terminal 10, the process transitions to Step 1, where an idea sheet is generated, as shown in Figure 6 (A), and a screen for inputting a draft of the idea is displayed. The draft of the idea does not need to be written in coherent sentences; it can simply be written as it comes to mind. Here, it is assumed that the following sentence has been 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."

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

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 prioritize, such as "matching accuracy" and "experienced tax accountant," and these are displayed in input fields 72A and 72B. As with the above, the re-suggestion button 71 can be used to have the generation AI 30 suggest new keywords, or the user U can manually edit them.

Furthermore, by pressing the Next button (not shown), a screen for deciding on the business title and summary will be displayed, as shown in Figure 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 re-suggestion button 73 (75) can be used to have the generation AI 30 make a new suggestion, or the user U can manually edit it.

Furthermore, by pressing the Next button (not shown), a screen for confirming user U's enthusiasm will be displayed, as shown in Figure 7 (C). For example, user U can freely enter information in input field 77 about what kind of person they are, why they want to start this business, etc.

When the suggestion button 78 is pressed in this state, the generation AI 30 will provide feedback on Step 1 as a whole, summarizing what should be paid attention to. 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," "demonstrating expertise," and "considering scalability." This allows user U to modify the content of Step 1 as needed.

At this point, pressing the Step 1 update button 79 will display the idea sheet. 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 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, pressing the download button (not shown) will allow the idea sheet to be downloaded in PDF format.

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 for selecting the target of provision, customers, etc. is displayed. Here, as shown in Figure 8(A), an example is shown in which "BtoB" has been selected as the target of provision 81. Also, as shown in Figure 8(B), "Early startup" has been suggested by the generation AI 30 in the customer input field 83. Although not shown in the figure, the value to be provided, channels/sales routes, customer relationships, revenue flow, etc. are also considered through dialogue with the generation AI 30. As with the above, the user U can have the generation AI 30 make a re-suggestion by clicking the re-suggest button 82, or can manually make corrections.

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 concerns 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.

Next, the user moves to Step 3, where a pitch deck or other presentation material is generated, and the user continues to consider the material while interacting with the generation AI 30 using a similar method. 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.

Next, proceed 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 stop publishing button 93 allows the LP to be stopped from being published, and pressing the edit button 94 allows the LP to be edited.

Although not shown in the diagram, it is also possible to add steps such as generating advertisements and surveys, and recruiting supporters. By adding these steps, it is possible to check the market reaction to the business. Therefore, if the market reaction is not good, it is possible to go back and reconsider, revise, and create something new.

As described above, the business development efficiency system according to an embodiment of the present invention allows users to receive a variety of business development-related services in one place while interacting with the generation AI 30. While the interactive response generation function itself is implemented using ChatGPT, obtaining the intended response requires prompts (instructions) optimized for business development. The company providing this system (the inventor) offers a matching service exclusively for entrepreneurs and routinely bounces ideas off startups, thereby possessing the expertise to streamline 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, setting keywords, setting a business title, setting a business overview, and so on, are also based on this expertise. By following these steps, even if you only input a vague idea, you can smoothly obtain the desired answer and quickly turn it into a business plan.

<Example of materials>
FIG. 10 is a schematic diagram showing an idea sheet 101 according to an embodiment of the present invention. As shown in FIG. 10, the idea sheet 101 includes information such as "Project Title,""ProjectOverview,""Keywords,""WhyI'm Working on This," and "About Me." Of course, the content of this idea sheet 101 is merely illustrative, and various modifications are possible using information such as summaries [1] through [n]. The content of the idea sheet 101 is the same in both HTML and PDF formats. However, when the idea sheet 101 is provided to the user terminal 10 in HTML format, a download button is displayed near the display area of the idea sheet 101. While there are no particular limitations on when the download button is displayed, it is preferable that it be displayed when the document is completed (when the necessary information has been saved in databases 26B ₁ through 26B _n ).

Figure 11 is a schematic diagram showing a business blueprint 111 in an embodiment of the present invention. Here, a business model canvas is used as an example of the business blueprint 111. As shown in Figure 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." As other aspects are the same as those in the idea sheet 101, detailed explanations will be omitted.

Figure 12 is a schematic diagram showing a presentation material 121 in an embodiment of the present invention. Here, a pitch deck is used as an example of the presentation material 121. As shown in Figure 12, the presentation material 121 includes information such as "Summary," "Competitor Information," and "Market Size." Other aspects are the same as those of the idea sheet 101, so detailed explanations will be omitted.

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

<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 that they can 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 communications 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 typical 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.

Characteristic configuration and effects of the present invention
As described above, the business development efficiency 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.

Furthermore, when the proposing unit 22 makes multiple proposals, the saving unit 23 may retrieve 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).

The storage unit 23 may also 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 Figure 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 something new.

The storage unit 23 may also summarize the stored information and store it in databases _26B1 , _26B2 , _26B3 , .... Such summarization and storage in databases _26B1 , _26B2 , _26B3 , ... has two advantages: convenience for user U and cost benefits for the business operator providing the system. In other words, as elements are subsequently fleshed out, if the amount of information read each time increases, the response of the generation AI 30 slows down. However, by summarizing and storing the information in databases _26B1 , _26B2 , _26B3 , ..., the amount of information is reduced, thereby preventing a decrease in response speed. Furthermore, if there is a lot of unnecessary information, truly important information will not stand out, resulting in less accurate ideas. However, by summarizing and reducing unnecessary information, truly important information will stand out, improving the accuracy of ideas. Furthermore, when ChatGPT is used as the generation AI 30, the ChatGPT API charges a per-use fee based on the amount of information read and output, so reading in a summarized text can keep usage fees low.

Furthermore, when a draft of an idea is received by the communication unit 21, the suggestion unit 22 may first propose a sentence that organizes the draft of the idea into 5W1H. By first organizing the draft of the idea into 5W1H in this way, unnecessary information is reduced at an early stage, thereby improving the accuracy of inferences made by the generation AI 30 thereafter.

Furthermore, when business development materials are completed, the creation unit 24 may provide the materials to the user terminal 10 as an HTML file and display a download button along with the materials, configuring the HTML file so that when the download button is clicked, the materials are downloaded in PDF format. 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 a download button, convenience for the user U would be greatly improved.

Furthermore, when business development materials are completed, the creation unit 24 may provide the materials to the user terminal 10 as an HTML file and display a publish button along with the materials, configuring the HTML file so that when the publish button is clicked, the materials are published on the Internet. Being able to automatically publish materials (websites) on the Internet with a single click of a button, without having to sign up for a new server or domain, greatly improves convenience for user U.

In addition, data input to generation AI 30 may be set not to be learned by generation AI 30, and may be managed for each user U in a closed environment (environment within closed server device 20) within the business providing the business development efficiency system. This not only prevents the problem of ideas or corporate secrets being used by other users U, but also allows learning to be carried out within server device 20 for each individual user U, thereby improving the accuracy of ideas.

The present invention can also 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 program can be installed on a computer via a computer-readable recording medium or via a network such as the Internet N.

[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.

REFERENCE SIGNS LIST 10 User terminal 20 Server device 21 Communication unit 22 Proposal unit 23 Storage unit 24 Creation unit 26 Storage device 26A Learning data 26B, 26B ₁ , 26B ₂ , 26B ₃ , 26B _n Database 30 Generation AI
U User

Claims (4)

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 the communication unit receives a modified result of modifying the proposal result, reflects the modified result in the proposal result, summarizes the reflected result, and stores it in a database for each of the consideration items;
a creation unit that retrieves the summaries stored by the storage unit from the database and creates the materials related to business development using the retrieved summaries,
The suggestion unit retrieves a summary from the database, instructs the generation AI based on the retrieved summary, and adds new information to the retrieved summary;
The storage unit stores the summary after it has been fleshed out by the proposal unit in the database, and if any considerations in the business development materials are revised by the user, the system modifies the contents of the database in which the optional considerations are stored . The business development efficiency system described in claim 1, wherein the data input to the generation AI is set not to be used as learning material for the generation AI, and is managed for each user in a closed environment within the business providing the business development efficiency system. 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 storage step of, when a modified result obtained by modifying the proposal result is received in the communication step, reflecting the modified result in the proposal result, summarizing the reflected result, and storing it in a database for each of the consideration items;
a creating step of retrieving the abstract stored in the storing step from the database and creating the business development material using the retrieved abstract;
In the suggestion step, a summary is retrieved from the database, and instructions are given to the generation AI based on the retrieved summary, and new information is added to the retrieved summary.
In the saving step, the summary that has been fleshed out in the proposing step is saved in the database, and when any consideration item in the business development document is revised by the user, the contents of the database in which the consideration item is saved are revised.
How to improve business development efficiency. 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 storage step of, when a modified result obtained by modifying the proposal result is received in the communication step, reflecting the modified result in the proposal result, summarizing the reflected result, and storing it in a database for each of the consideration items;
a creating step of retrieving the abstract stored in the storing step from the database and creating the business development material using the retrieved abstract;
In the suggestion step, a summary is retrieved from the database, and instructions are given to the generation AI based on the retrieved summary, and new information is added to the retrieved summary.
In the saving step, the summary that has been fleshed out in the proposing step is saved in the database, and when any consideration item in the business development document is revised by the user, the contents of the database in which the consideration item is saved are revised.
Business Development Efficiency Program.