Business Matching Service Provider Using AI
Patent Information
- Application Number
- KR1020250030796
- Authority / Receiving Office
- KR · KR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-03-10
- Publication Date
- 2026-09-17
Smart Images

Figure PAT00001_ABST
Abstract
Description
Technology Field
[0001] The present invention relates to a business matching service providing device utilizing AI, and more specifically, to a business matching service providing device utilizing AI that provides corporate information suitable for a business matching inquiry from a user who intends to conduct business. Background Technology
[0003] Users who are preparing to start a business, operating a business, or running a business may be companies that make products sold to consumers, or the business item itself may be a component or part for making a product.
[0004] If the business item itself is a component or part of a product, the relevant market area must be accurately identified. Furthermore, it is very difficult to examine each company individually to determine relevance regarding the services a user can provide, and verifying this relevance even after it has been identified is an even more challenging task. Prior art literature
[0006] Republic of Korea Registered Patent No. 10-1909133 {Registration Date: October 11, 2018} The problem to be solved
[0007] Therefore, the objective of the present invention is to provide a business matching service providing device utilizing AI that can provide companies and company information highly relevant to the business intended by the user. means of solving the problem
[0009] A business matching service providing device utilizing AI according to the present invention for achieving the above objective comprises: a communication unit that communicates with an external device; and a control unit that stores corporate information including business areas, business products, scale, business direction, bidding status, and technical personnel status for a plurality of companies, and when a business matching inquiry is received from the external device through the communication unit, transmits a plurality of questions for business matching to the external device, analyzes and learns the answers received in response to the transmission using an artificial intelligence model, calculates the matching similarity for the plurality of companies based on the analysis and learning results, and controls the communication unit to transmit a predetermined number of companies with high calculated matching similarity and corporate information regarding said companies to the external device. By providing a user with a plurality of questions for business matching including business areas, business products, scale, business direction, bidding status, and technical personnel status, and then analyzing the answers using an artificial intelligence model to calculate and provide customized companies and corporate information to the user, the convenience and probability of success of business can be improved.
[0010] Here, it is desirable that the control unit monitors and collects government support projects and corporate bidding projects through a network, classifies them by multiple criteria including periods and corporate size, and stores the corporate information, so that direct business information can be provided to users who intend to do business or users who are doing business.
[0011] Furthermore, when the control unit receives a business matching inquiry from the external device, it is desirable to prioritize transmitting information regarding the monitored government support projects and corporate bidding projects among the corporate information to the external device, thereby providing direct business information that allows immediate participation within a specified period, thus providing immediate assistance to the user.
[0012] Here, the control unit utilizes an artificial intelligence model to request and store past sales, profits, financial status, business expansion status, bidding status, and technical personnel status for the plurality of companies; performs an evaluation of sales, profits, financial status, business expansion status, bidding status, and technical personnel status for multiple past periods; and collects external conditions, including industry conditions, macroeconomic conditions, and consumer indices corresponding to the multiple periods, to analyze corporate growth and management. This allows for the accurate identification of companies that may be suitable for business matching and is desirable as it improves the accuracy of the user's judgment in evaluating companies as business partners.
[0013] Furthermore, when the control unit receives a business matching inquiry from the external device, it is desirable to provide the external device with information regarding the analyzed corporate growth and management of the company, so that the user can quickly and accurately determine whether the company is a business partner after understanding the information on corporate growth and management.
[0014] Here, the control unit analyzes and stores the causes of items below a predetermined evaluation value for multiple periods and the causes of the increase when items below the predetermined evaluation value rise above the predetermined evaluation value based on the evaluation results of the company. When a business matching inquiry is received from the external device, providing the external device with the analyzed and stored information regarding the causes of items below the predetermined evaluation value and the causes of the increase when items below the predetermined evaluation value rise above the predetermined evaluation value allows the user to check the cause and effect information regarding the company's evaluation information at a glance, which is desirable as it can assist the user in selecting a company.
[0015] Furthermore, the control unit performs an evaluation of the company's current sales, profits, financial status, business expansion status, bidding status, and technical personnel status based on current external conditions. It is desirable that the company's sales, profits, financial status, business expansion status, bidding status, and technical personnel status are predicted based on the evaluation results, as this allows for reference to predictive information regarding the company as a potential business partner, thereby aiding in the determination of a business partner. Effects of the invention
[0017] According to the present invention, after providing a user with multiple questions for business matching including business area, business products, scale, business direction, bidding status, and technical personnel status, the answers are analyzed using an artificial intelligence model to calculate and provide customized companies and company information to the user, thereby having the effect of improving business convenience and the probability of success.
[0018] In addition, it has the effect of providing direct business information to users who intend to do business or are currently doing business.
[0019] In addition, since it provides direct business information that allows for immediate participation within the period, it has the effect of providing immediate assistance to users.
[0020] In addition, it allows for the accurate identification of companies that may be suitable for business matching and has the effect of improving the accuracy of user judgment when evaluating companies as business partners.
[0021] In addition, it has the effect of enabling users to quickly and accurately assess potential business partners after grasping information regarding corporate growth and management.
[0022] In addition, since cause and effect information regarding a company's evaluation can be viewed at a glance, it is effective in helping users select a company.
[0023] In addition, since predictive information regarding companies as business partners can be referenced, it is effective in helping to determine business partners. Brief explanation of the drawing
[0025] FIG. 1 is an overall control block diagram including a business matching service providing device utilizing AI according to the present invention. Figure 2 is a control block diagram of a business matching service provider utilizing AI. FIG. 3 is a flowchart of a first embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI according to the present invention. FIG. 4 is a flowchart of a second embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI. FIG. 5 is a flowchart of a third embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI. FIG. 6 is a flowchart of a fourth embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI. Specific details for implementing the invention
[0026] Hereinafter, a business matching service providing device (1) utilizing AI according to a preferred embodiment of the present invention will be described in detail with reference to the attached drawings.
[0027] FIG. 1 is an overall control block diagram including a business matching service providing device (1) utilizing AI according to the present invention, and FIG. 2 is a control block diagram of a business matching service providing device (1) utilizing AI.
[0028] Referring to FIGS. 1 and FIGS. 2, the configuration of the AI-based business matching service provider device (1) is explained.
[0029] The AI-based business matching service provider (1) includes a communication unit (10) and a control unit (20).
[0030] The communication unit (10) communicates with an external device (2). The communication unit (10) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The communication unit (10) receives a video signal and transmits it to the control unit (20) to be described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the communication unit (10) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the communication unit (10) may include a tuner that tunes the broadcast signal by channel.
[0031] The control unit (20) stores corporate information including business areas, business products, scale, business direction, bidding status, and technical personnel status for multiple companies, and when a business matching inquiry is received from an external device (2) through the communication unit (10), it transmits multiple questions for business matching to the external device (2), analyzes and learns the answers received in response to the transmission using an artificial intelligence model, calculates the matching similarity for multiple companies based on the analysis and learning results, and controls the communication unit (10) to transmit corporate information for a predetermined number of companies and companies with high calculated matching similarity to the external device (2).
[0032] The control unit (20) can monitor and collect government support projects and corporate bidding projects through a network, classify them according to multiple criteria including period and company size, and store corporate information.
[0033] When the control unit (20) receives a business matching inquiry from the external device (2), it can prioritize transmitting information regarding monitored government support projects and corporate bidding projects among corporate information to the external device (2).
[0034] The control unit (20) can use an artificial intelligence model to request and store past sales, profits, financial status, business expansion status, bidding status, and technical personnel status for multiple companies, perform evaluations of past sales, profits, financial status, business expansion status, bidding status, and technical personnel status for multiple periods, and collect external conditions including industry conditions, macroeconomic conditions, and consumer indices corresponding to the multiple periods to analyze corporate growth and corporate management.
[0035] When the control unit (20) receives a business matching inquiry from the external device (2), it can provide information on corporate growth and corporate management analyzed for the company to the external device (2).
[0036] The control unit (20) analyzes and stores the causes of items below a predetermined evaluation value for multiple periods and the causes of the increase when items below a predetermined evaluation value rise above a predetermined evaluation value as a result of evaluating a company, and when a business matching inquiry is received from an external device (2), it can provide information to the external device (2) regarding the causes of items below a predetermined evaluation value and the causes of the increase when items below a predetermined evaluation value rise above a predetermined evaluation value as analyzed and stored.
[0037] The control unit (20) evaluates the current sales, profit, financial situation, business expansion situation, bidding situation and technical personnel status of the company based on current external conditions, and can predict the company's sales, profit, financial situation, business expansion situation, bidding situation and technical personnel status based on the evaluation results.
[0038] FIG. 3 is a flowchart of a first embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI according to the present invention.
[0039] It stores corporate information including business areas, business products, scale, business direction, bidding status and technical personnel status for multiple companies (S1).
[0040] A business matching inquiry is received from an external device (2) (S2).
[0041] Multiple questions for business matching are transmitted to an external device (2) (S3).
[0042] The response received in response to the transmission is analyzed and learned by an artificial intelligence model (S4).
[0043] Based on the analysis and learning results, the matching similarity for multiple companies is calculated (S5).
[0044] A predetermined number of companies and company information for companies with high matching similarity are transmitted to an external device (2) (S6).
[0045] FIG. 4 is a flowchart of a second embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI.
[0046] Government support projects and corporate bidding projects are monitored and collected through a network (S11).
[0047] Classification is performed according to multiple criteria, including period and company size (S12).
[0048] Company information including business areas, business products, scale, business direction, bidding status and technical personnel status for multiple companies is stored (S13).
[0049] A business matching inquiry is received from an external device (2) (S14).
[0050] Information regarding government support projects and corporate bidding projects that have been monitored among corporate information is transmitted first to an external device (2) (S15).
[0051] Multiple questions for business matching are transmitted to an external device (2) (S16).
[0052] The response received in response to the transmission is analyzed and learned by an artificial intelligence model (S17).
[0053] Based on the analysis and learning results, the matching similarity for multiple companies is calculated (S18).
[0054] A predetermined number of companies and company information for companies with high matching similarity are transmitted to an external device (2) (S19).
[0055] FIG. 5 is a flowchart of a third embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI.
[0056] Using an artificial intelligence model, past sales, profits, financial status, business expansion status, bidding status, and technical personnel status of multiple companies are requested and stored (S21).
[0057] Evaluation is performed on sales, profits, financial status, business expansion status, bidding status, and technical personnel status for multiple past periods (S22).
[0058] External conditions, including industry conditions, macroeconomic conditions, and consumer indices for multiple corresponding periods, are collected to analyze corporate growth and corporate management (S23).
[0059] Based on the evaluation results of the company, the causes of items below a predetermined evaluation value for multiple periods and the causes of the increase when items below a predetermined evaluation value rise above a predetermined evaluation value are analyzed and stored (S24).
[0060] A business matching inquiry is received from an external device (2) (S25).
[0061] Information on corporate growth and corporate management analyzed for the company, the cause of items below a predetermined evaluation value stored through analysis, and information on the cause of the increase when items below a predetermined evaluation value rise above a predetermined evaluation value are provided to an external device (2) (S26).
[0062] FIG. 6 is a flowchart of a fourth embodiment of a method for providing a business matching service using AI using a business matching service providing device using AI.
[0063] Using an artificial intelligence model, past sales, profits, financial status, business expansion status, bidding status, and technical personnel status of multiple companies are requested and stored (S31).
[0064] Evaluations are performed on sales, profits, financial status, business expansion status, bidding status, and technical personnel status for multiple past periods (S32).
[0065] External conditions, including industry conditions, macroeconomic conditions, and consumer indices for multiple periods, are collected to analyze corporate growth and business management (S33).
[0066] An evaluation of the company's current sales, profit, financial situation, business expansion situation, bidding situation and technical personnel status is performed based on current external conditions (S34).
[0067] Based on the evaluation results of the company, the causes of items below a predetermined evaluation value for multiple periods and the causes of the increase when items below a predetermined evaluation value rise above a predetermined evaluation value are analyzed and stored (S35).
[0068] A business matching inquiry is received from an external device (2) (S36).
[0069] Based on the results of the evaluation, the company's sales, profit, financial situation, business expansion situation, bidding situation and technical personnel status are predicted (S37).
[0070] Information on corporate growth and corporate management analyzed for the company, the cause of items below a predetermined evaluation value stored through analysis, information on the cause of the increase when items below a predetermined evaluation value rise above a predetermined evaluation value, and corporate prediction information are provided to an external device (2) (S38).
[0071] Modifiable embodiments other than the above embodiments are described.
[0072] The control unit stores multiple normal state criteria for each of multiple state indicators, including financial status, operational management status, technological capability status, and corporate value status, collects multiple state indicators for a company to be analyzed through the communication unit (10), analyzes each of the collected multiple state indicators for the company, derives problems and causes of problems for each of the multiple state indicators based on each of the multiple normal state criteria, and generates multiple improvement plans for each of the multiple state indicators based on the derived problems and causes of problems for each of the multiple state indicators.
[0073] The control unit analyzes each of the multiple status indicators for the collected company to generate a status analysis report, and based on each of the multiple normal state criteria, at least one of the areas and characters of each of the multiple status indicators that deviate from the multiple normal state criteria in the status analysis report may be displayed differently from at least one of the colors and shapes of the areas and characters that do not deviate from the multiple normal state criteria.
[0074] The control unit stores the corresponding terminal in multiple departments of the company, generates an improvement plan for each of the generated multiple improvement proposals, determines at least one department corresponding to each generated improvement plan, and can transmit the corresponding improvement plan to each of the determined at least one department.
[0075] The control unit can ensure that the execution order for each generated improvement plan is transmitted together when each generated improvement plan needs to be executed by multiple departments.
[0076] The control unit can generate at least one of a plurality of improvement proposals and an improvement plan for a plurality of improvement proposals based on the workload being carried out by each department and member, the work progress plan, the work progress speed, the assigned work, the workload to be assigned, the work progress plan to be assigned, and the work progress speed to be assigned.
[0077] The control unit can generate at least one of a plurality of improvement proposals and an improvement plan for the plurality of improvement proposals based on the schedules of departments, the representative director, and members.
[0078] The control unit can generate a status analysis report for the representative that displays key indicators (unidentified transactions (2), profit analysis (3), etc.) that the representative needs to verify.
[0079] The control unit can be designed like a traffic light to distinguish and display the status of each of multiple status indicators—including financial status, operational management status, technological capability status, and enterprise value status—using different colors and shapes. If profit has decreased, it can be displayed in yellow or red. The profit threshold can be set by the representative at the beginning of the year, or it can be distinguished by color while indicating a decrease compared to the previous year or the previous month.
[0080] The control unit can deliver improvement plans for multiple improvement proposals for each of multiple status indicators to each department, member, and CEO, generate a checklist that can receive and verify whether the plans have been achieved, and transmit this to each department, member, and CEO.
[0081] The control unit can modify improvement plans for multiple improvement proposals for each of the multiple status indicators based on the contents of each of the generated checklists. The control unit can modify, save, and update the multiple improvement proposals by considering the modified improvement plans for each of the multiple status indicators.
[0082] By using the above-described AI-based business matching service providing device (1) and AI-based business matching service providing method, multiple questions for business matching including business area, business product, scale, business direction, bidding status and technical personnel status are provided to the user, and then the answers are analyzed using an artificial intelligence model to produce and provide customized companies and company information to the user, thereby improving business convenience and success probability.
[0083] In addition, direct business information can be provided to users who intend to do business or are doing business.
[0084] In addition, immediate assistance can be provided to users by offering direct business information that allows for immediate participation within the specified period.
[0085] In addition, it is possible to accurately identify companies that could be potential business partners, and the accuracy of the user's judgment in evaluating companies as business partners can be improved.
[0086] In addition, users can quickly and accurately assess potential business partners after understanding information regarding corporate growth and management.
[0087] In addition, since cause and effect information regarding a company's evaluation data can be viewed at a glance, it can help users in selecting a company.
[0088] In addition, since predictive information regarding companies as business partners can be referenced, it can be helpful in determining business partners. Explanation of the symbols
[0090] 1: Business matching service provision device utilizing AI 2: External device 3: Enterprise terminals 10: Communications Department 20: Control unit
Claims
Claim 1 A business matching service provider utilizing AI, comprising: a communication unit communicating with an external device; and a control unit storing corporate information including business areas, business products, scale, business direction, bidding status, and technical personnel status for multiple companies, wherein when a business matching inquiry is received from the external device through the communication unit, the control unit transmits multiple questions for business matching to the external device, analyzes and learns the answers received in response to the transmission using an artificial intelligence model, calculates the matching similarity for the multiple companies based on the analysis and learning results, and controls the communication unit to transmit a predetermined number of companies with high calculated matching similarity and corporate information regarding said companies to the external device. Claim 2 A business matching service providing device utilizing AI according to claim 1, wherein the control unit monitors and collects government support projects and corporate bidding projects through a network, classifies them according to multiple criteria including period and company size, and stores the corporate information. Claim 3 A business matching service providing device utilizing AI according to claim 2, wherein the control unit, upon receiving a business matching inquiry from the external device, prioritizes transmitting information regarding the monitored government support projects and corporate bidding projects among the corporate information to the external device. Claim 4 In claim 3, the control unit requests and stores past sales, profits, financial status, business expansion status, bidding status, and technical personnel status for the plurality of companies using an artificial intelligence model, performs an evaluation of past sales, profits, financial status, business expansion status, bidding status, and technical personnel status for multiple periods, and collects external conditions including industry conditions, macroeconomic conditions, and consumer indices corresponding to the multiple periods to analyze corporate growth and corporate management, characterized by an AI-based business matching service providing device. Claim 5 In claim 4, the control unit, when a business matching inquiry is received from the external device, provides information regarding corporate growth and corporate management analyzed for the company to the external device; analyzes and stores the causes of items below a predetermined evaluation value for a plurality of periods and the causes of the rise when items below a predetermined evaluation value rise above a predetermined evaluation value as a result of evaluating the company; when a business matching inquiry is received from the external device, provides information to the external device regarding the causes of items below a predetermined evaluation value and the causes of the rise when items below a predetermined evaluation value rise above a predetermined evaluation value as analyzed and stored; performs an evaluation of the current sales, profit, financial situation, business expansion situation, bidding situation, and technical personnel status of the company based on current external conditions; and predicts the sales, profit, financial situation, business expansion situation, bidding situation, and technical personnel status of the company based on the results of the evaluation.
