Device and method for operating artificial intelligence based online shopping mall merger and acquisition brokerage platform

Abstract

According to some embodiments of the present invention, an operating device for an artificial intelligence-based online shopping mall merger and acquisition brokerage platform comprises: a memory configured to store instructions; and a processor configured to execute the instructions to perform due diligence on the state of a target shopping mall using a first model based on a large-scale language model (LLM) to generate due diligence data, calculate the enterprise value of the target shopping mall based on the due diligence data using a second model based on machine learning, select a buyer by comparing the due diligence data and the enterprise value with the registration information of potential buyers registered on the merger and acquisition brokerage platform using a matching algorithm, generate a transaction proposal proposing a merger and acquisition transaction for the target shopping mall based on the due diligence data and the enterprise value using a design tool, and provide the transaction proposal to the buyer through the merger and acquisition brokerage platform.

Description

Technology Field

[0001] The present invention relates to an apparatus and method for operating a brokerage platform that supports automated due diligence, valuation, buyer matching, and proposal generation for target shopping malls to support mergers and acquisitions transactions between online shopping mall operators based on an artificial intelligence (AI) model. Background Technology

[0002] With the growth of e-commerce, the supply level of mail-order businesses, such as online shopping malls, is becoming standardized at a higher level. Furthermore, as marketing costs increase and dependence on platforms grows, the competitiveness of latecomers to the online shopping market is weakening. In addition, there is an increasing demand for the sale of online shopping malls due to various causes, including personal reasons.

[0003] While advice on the sale of shopping malls is available through law firms or accounting firms specializing in mergers and acquisitions (M&A), the majority of shopping malls seeking to sell are small-scale businesses that find it difficult to seek professional advice due to cost issues. Furthermore, although advisory firms targeting SMEs have recently been increasing, they primarily handle manufacturing-based businesses of a certain size or larger. Consequently, shopping mall transactions are currently being attempted via bulletin boards on online portal cafes. The problem to be solved

[0004] One of the objectives of the present invention is to provide an apparatus and method that operates a brokerage platform supporting mergers and acquisitions of online shopping malls to connect prospective sellers and potential buyers, and in the process, utilizes an artificial intelligence (AI)-based model to perform shopping mall due diligence, valuation, optimal buyer matching, proposal drafting, etc. means of solving the problem

[0005] According to some embodiments of the present invention, an operating device for an artificial intelligence-based online shopping mall merger and acquisition brokerage platform comprises: a memory configured to store instructions; and a processor configured to execute the instructions to perform due diligence on the state of a target shopping mall using a first model based on a large-scale language model (LLM) to generate due diligence data, calculate the enterprise value of the target shopping mall based on the due diligence data using a second model based on machine learning, select a buyer by comparing the due diligence data and the enterprise value with the registration information of potential buyers registered on the merger and acquisition brokerage platform using a matching algorithm, generate a transaction proposal proposing a merger and acquisition transaction for the target shopping mall based on the due diligence data and the enterprise value using a design tool, and provide the transaction proposal to the buyer through the merger and acquisition brokerage platform.

[0006] According to some embodiments of the present invention, the first model includes a generative artificial intelligence model based on a large-scale language model (LLM), and the processor is configured to generate the actual data by crawling public data of the target shopping mall, administrator data of the target shopping mall, and marketing channels of the target shopping mall using the generative artificial intelligence model, and the public data includes product items for sale, product detail pages, number of reviews, review ratings, and number of Q&A, and the administrator data includes the number of members, sales, refund rate, and repurchase rate.

[0007] According to some embodiments of the present invention, the processor is configured to use the generative artificial intelligence model to collect positioning information relative to competitors within the relevant industry of the target shopping mall, brand value information of the target shopping mall, and review information regarding products sold by the target shopping mall, and to generate a comprehensive report for explaining the actual data based on the positioning information, the brand value information, and the review information.

[0008] According to some embodiments of the present invention, the second model includes a model trained to calculate a corporate value based on valuation cases of other shopping malls similar to the target shopping mall, and the processor is configured to calculate a provisional corporate value based on financial statements and brand value information of the target shopping mall using the second model, and to calculate a final corporate value by correcting for non-recurring factors and seasonal factors in the provisional corporate value.

[0009] According to some embodiments of the present invention, the registration information of the potential buyers includes sales information, membership count information, and interest field information of online shopping malls operated by the potential buyers, and the processor calculates an acquisition synergy score for the potential buyers by comparing the sales information, membership count information, and interest field information of the online shopping malls operated by the potential buyers with the due diligence data and the enterprise value, and is configured to select the acquisition proposal target based on the acquisition synergy score.

[0010] According to some embodiments of the present invention, the matching algorithm includes a vector matching algorithm, and the processor is configured to quantify sales information, membership information, and interest field information of online shopping malls operated by potential buyers and convert them into a first vector, quantify the actual data and corporate value of the target shopping mall and convert them into a second vector, and apply the vector matching algorithm to the first vector and the second vector to calculate the merger and acquisition synergy score.

[0011] According to some embodiments of the present invention, the processor is configured to generate a standard contract between the owner of the target shopping mall and the buyer regarding the merger and acquisition of the target shopping mall when the buyer approves the transaction proposal, and to provide the standard contract to the owner of the target shopping mall and the buyer through the merger and acquisition brokerage platform.

[0012] According to some embodiments of the present invention, the processor is configured to analyze legal risks regarding the merger and acquisition of the target shopping mall based on the due diligence data using the first model, and to include special provisions regarding said legal risks in the standard contract.

[0013] According to some embodiments of the present invention, the processor is configured to generate an expected merger value by estimating the corporate value of the merged shopping mall based on the merger result for a predetermined period after the merger of the target shopping mall by the bidder, using the second model, based on the registration information of the bidder, the due diligence data for the target shopping mall, and the corporate value of the target shopping mall, and to provide the expected merger value to the bidder through the merger brokerage platform.

[0014] According to some embodiments of the present invention, a method for operating an artificial intelligence-based online shopping mall merger and acquisition brokerage platform, which is performed by a processor executing instructions stored in memory, comprises: a step of generating due diligence data by performing due diligence on the state of a target shopping mall using a first model based on a large-scale language model (LLM); a step of calculating the enterprise value of the target shopping mall based on the due diligence data using a second model based on machine learning; a step of selecting a buyer by comparing the due diligence data and the enterprise value with registration information of potential buyers registered on the merger and acquisition brokerage platform using a matching algorithm; a step of generating a transaction proposal proposing a merger and acquisition transaction for the target shopping mall based on the due diligence data and the enterprise value using a design tool; and a step of providing the transaction proposal to the buyer through the merger and acquisition brokerage platform.

[0015] According to some embodiments of the present invention, in a computer program stored on a computer-readable medium, the instructions of the computer program, when executed by a processor, cause the processor to perform the method of operating an artificial intelligence-based online shopping mall merger and acquisition brokerage platform of claim 10. Effects of the invention

[0016] According to embodiments of the present invention, an apparatus and method may be provided for operating a brokerage platform that supports mergers and acquisitions transactions for online shopping malls to connect prospective sellers and potential buyers, and in the process, using an artificial intelligence (AI)-based model to perform shopping mall due diligence, valuation, optimal buyer matching, proposal drafting, etc. Brief explanation of the drawing

[0017] FIG. 1 illustrates an environment in which an artificial intelligence-based online shopping mall merger and acquisition brokerage platform operating device according to some embodiments operates. FIG. 2 illustrates elements constituting an artificial intelligence-based online shopping mall merger and acquisition brokerage platform operating device according to some embodiments. FIG. 3 illustrates the process of an operating device for an artificial intelligence-based online shopping mall merger and acquisition brokerage platform according to some embodiments. FIG. 4 illustrates criteria for generating / evaluating actual data and / or corporate value using an artificial intelligence (AI)-based model according to some embodiments. FIGS. 5 to 8 illustrate a transaction proposal proposing a merger and acquisition transaction for a target shopping mall created using a design tool according to some embodiments. FIG. 9 illustrates steps constituting a method for operating an artificial intelligence-based online shopping mall merger and acquisition brokerage platform according to some embodiments. Specific details for implementing the invention

[0018] Embodiments of the present invention will be described in detail below with reference to the drawings. The description below is intended only to illustrate the embodiments and is not intended to limit or restrict the scope of the rights according to the present invention. Anything that can be easily inferred by a person skilled in the art from the detailed description and embodiments of the invention should be interpreted as falling within the scope of the rights according to the present invention. Detailed descriptions of matters widely known to a person skilled in the art regarding the present invention are omitted.

[0019] The terms used in this invention are described as general terms widely used in the technical field relating to this invention; however, the meaning of the terms used in this invention may vary depending on the intent of those skilled in the field, the emergence of new technologies, examination standards, or case law. Some terms may be selected at the discretion of the applicant, and in such cases, the meaning of the arbitrarily selected terms will be explained in detail. The terms used in this invention should be interpreted not merely in their dictionary meanings, but in a sense that reflects the overall context of the specification.

[0020] FIG. 1 illustrates an environment in which an artificial intelligence-based online shopping mall merger and acquisition brokerage platform operating device according to some embodiments operates.

[0021] Referring to FIG. 1, an artificial intelligence-based online shopping mall merger and acquisition brokerage platform operating device (100) can receive a request for sale of a target shopping mall from a seller terminal (10), and can select one of the potential buyer terminals (20) as the target of the purchase proposal and provide a transaction proposal.

[0022] The merger and acquisition brokerage platform operating device (100) may be a server for operating services through the brokerage platform. Users of the seller terminal (10) and the potential buyer terminal (20) may be shopping mall owners operating their respective shopping malls. Shopping mall owners may register shopping mall information on the brokerage platform, and merger and acquisition brokerage services may be provided based on this.

[0023] Operators of small-scale shopping malls currently face difficulties in obtaining professional M&A advice. Consequently, sellers struggling with deal sourcing are attempting transactions through online forums and bulletin boards on internet portals; however, even these attempts are limited to disclosing only basic metrics such as membership numbers and revenue, resulting in ineffective M&A proposals and a generally low level of trust regarding such attempts. Furthermore, given the impossibility of producing highly readable reports, conducting real-time valuations reflecting market conditions, and matching based on preferences, it is difficult to expect substantial M&A proposals through this method.

[0024] The merger and acquisition brokerage platform operating device (100) can operate an M&A AI agent platform that includes transparent and accurate self-due diligence. Self-due diligence is Vendor's DD (due diligence) and may be requested externally by the seller prior to deal sourcing for the purpose of diagnosing problematic elements and ensuring objectivity. An AI agent may refer to autonomous intelligent software that pursues goals and performs tasks on behalf of a user.

[0025] The M&A brokerage platform operating device (100) can maximize the efficiency of M&A advisory and realize multiple successful sales by utilizing AI agents. The AI ​​agents can support the entire M&A process, including deal sourcing, due diligence, valuation, acquisition proposals, and contracts. In particular, the completeness and speed of due diligence by AI agents can be enhanced through machine learning specialized in the commerce field. For example, a task that would take an expert in the field more than 40 hours to process can be optimized through data pipeline design and generative language models, thereby enabling the operation of an M&A platform that provides M&A advisory at a reasonable cost and allows for the review of transparent and accurate information.

[0026] The M&A brokerage platform operating device (100) can automate the process of calculating performance indicators such as monthly sales, repurchase rate, and refund rate by crawling shopping mall administrator (admin) data. An AI-based language model can be trained to extract review detail page content and to investigate the size of the market and competitive situation. Additionally, automation through an AI-based model is possible for deriving correlations between collected data, identifying non-recurring elements or omitted due diligence details, and calculating Normalized EBITDA. Machine learning can be performed to compose the content of the acquisition proposal, and by building a design system based on design tools such as Figma Plugin, the process of generating sales reports can be automated, and the total time for M&A preparation work can be reduced by about 90%.

[0027] FIG. 2 illustrates elements constituting an artificial intelligence-based online shopping mall merger and acquisition brokerage platform operating device according to some embodiments.

[0028] Referring to FIG. 2, the AI-based online shopping mall merger and acquisition brokerage platform operating device (100) may include memory (110) and a processor (120). However, it is not limited thereto, and some components may be omitted from the merger and acquisition brokerage platform operating device (100), or other components may be further included in the merger and acquisition brokerage platform operating device (100).

[0029] The merger and acquisition brokerage platform operating device (100) can be implemented in the form of a server device, or in the form of a mobile device, PC, etc. The operations of the merger and acquisition brokerage platform operating device (100) can be executed in the form of a computer program or a mobile application.

[0030] The memory (110) may be configured to store various data, instructions, mobile applications, computer programs, etc. The memory (110) may be configured separately from or integrally with the processor (120). The processor (120) may process various operations, operations, and / or steps by executing instructions stored in the memory (110). For example, the memory (110) may be implemented as a non-volatile device such as ROM, PROM, EPROM, EEPROM, flash memory, PRAM, MRAM, RRAM, FRAM, etc., or as a volatile device such as DRAM, SRAM, SDRAM, PRAM, etc., and may be implemented in the form of an HDD, SSD, SD, Micro-SD, etc., or a combination thereof.

[0031] The processor (120) may have a structure for executing instructions that implement operations of the merger and acquisition brokerage platform operating device (100). The processor (120) may be implemented as an array of multiple logic gates or a general-purpose microprocessor for processing various operations, and may be composed of a single processor or multiple processors. For example, the processor (120) may be implemented in at least one form of a microprocessor, CPU, GPU, and AP.

[0032] The merger and acquisition brokerage platform operating device (100) may be configured to generate due diligence data by performing due diligence on the status of the target shopping mall using a first model based on a large-scale language model (LLM). The first model based on LLM may be trained to perform data crawling, text analysis, result inference, etc. For example, the first model based on LLM may be a commercial generative AI model such as GPT. When web page links and administrator data accessibility of the target shopping mall are provided, the first model may collect items, sales, costs, net profit, refund rate, repurchase rate, number of reviews, review ratings, etc., and generate due diligence data based on these.

[0033] The merger and acquisition brokerage platform operating device (100) may be configured to calculate the corporate value of a target shopping mall based on actual data using a machine learning-based second model. The second model may be trained on corporate value calculation based on commercial machine learning techniques. For example, training data may be formed by labeling the corporate value corresponding to the actual data in existing value calculation cases, and based on this, the second model may learn the relationship between the actual data and the corporate value in a supervised learning manner. The corporate value corresponding to the actual data of the target shopping mall may be calculated using the second model that has completed training.

[0034] The acquisition and merger brokerage platform operating device (100) may be configured to select a target for acquisition proposals by using a matching algorithm to compare due diligence data and corporate value with the registration information of potential buyers registered on the acquisition and merger brokerage platform. Member information of shopping mall operators may be registered on the acquisition and merger brokerage platform, and these may be treated as potential buyers to acquire other shopping malls. The registration information of potential buyers may include the item / product type, sales, number of members, etc., of the shopping mall currently in operation, and may further include the target / field of interest that the potential buyer has regarding the acquisition of the shopping mall. A target for acquisition proposals may be selected based on how well the registration information matches the target shopping mall through the matching algorithm. Various commercial algorithms for data comparison / matching may be utilized as the matching algorithm.

[0035] The merger and acquisition brokerage platform operating device (100) may be configured to generate a transaction proposal proposing a merger and acquisition transaction for a target shopping mall based on due diligence data and corporate value using a design tool. For example, the design tool may include a Figma Plugin, etc. The transaction proposal may express the due diligence data, corporate value, etc. of the target shopping mall as visual data with high readability.

[0036] The acquisition and merger brokerage platform operating device (100) may be configured to provide a transaction proposal to the acquisition offer target through the acquisition and merger brokerage platform. For example, the transaction proposal may be delivered to the potential buyer terminal (20) of the acquisition offer target through a program or app implementing the acquisition and merger brokerage platform. If the acquisition offer target accepts the transaction proposal and the acquisition and merger transaction is completed, a brokerage fee based on the transaction price may be charged to the acquisition offer target and the seller.

[0037] According to an embodiment, the first model may include a generative artificial intelligence model based on a large-scale language model (LLM), and the merger and acquisition brokerage platform operating device (100) may be configured to generate due diligence data by crawling public data of the target shopping mall, administrator data of the target shopping mall, and marketing channels of the target shopping mall using the generative artificial intelligence model. The public data may include product items for sale, product detail pages, number of reviews, review ratings, and number of Q&A, and the administrator data may include the number of members, sales, refund rate, and repurchase rate. The public data may include detail pages, review information, etc., that can be publicly verified without administrator approval. In addition, for more efficient due diligence, private data such as refund rates and repurchase rates may also be provided for generating due diligence data. Therefore, shopping mall due diligence can be performed at a more accurate and substantial level. Meanwhile, the generative artificial intelligence model may include commercial models such as GPT and Gemini.

[0038] According to an embodiment, the merger and acquisition brokerage platform operating device (100) may be configured to use a generative artificial intelligence model to collect positioning information relative to competitors within the relevant industry of the target shopping mall, brand value information of the target shopping mall, and review information regarding the products sold by the target shopping mall, and to generate a comprehensive report to explain due diligence data based on the positioning information, brand value information, and review information. For example, the comprehensive report may be provided to the buyer of the acquisition offer separately from the transaction proposal. For example, the generative artificial intelligence model may analyze whether the target shopping mall is in a position to sell more expensive products based on high brand value through high marketing costs within the industry, or whether it is in a position to appeal to consumers looking for relatively inexpensive products. In addition, the overall pattern of reviews (whether there are many loyal customers, whether the proportion of dissatisfaction reviews is high, etc.) may be analyzed based on reviews on product detail pages or reviews on marketing channels (SNS, etc.), and by comprehensively considering these, the brand value of the target shopping mall may be calculated in the form of high / medium / low, or in a more detailed form.

[0039] According to an embodiment, the second model may include a model trained to calculate corporate value based on valuation cases of other shopping malls similar to the target shopping mall, and the merger and acquisition brokerage platform operating device (100) may be configured to calculate a provisional corporate value based on financial statements and brand value information of the target shopping mall using the second model, and to calculate a final corporate value by correcting non-recurring elements and seasonal elements from the provisional corporate value. For example, the second model may be trained in a supervised learning manner based on labeling data regarding the relationship between corporate value according to shopping mall due diligence data (including financial statements) and brand value information. A provisional corporate value may be calculated first, and a final corporate value may be calculated by correcting for temporary event-based sales increases or seasonal sales patterns.

[0040] According to an embodiment, the registration information of potential buyers may include sales information, membership count information, and interest field information of online shopping malls operated by the potential buyers, and the merger and acquisition brokerage platform operating device (100) may be configured to calculate a merger and acquisition synergy score for potential buyers by comparing the sales information, membership count information, and interest field information of online shopping malls operated by the potential buyers with due diligence data and corporate value, and to select a target for a purchase proposal based on the merger and acquisition synergy score. In the process of selecting a target for a purchase proposal, a merger and acquisition synergy score may be calculated assuming a situation where each potential buyer acquires a target shopping mall. The merger and acquisition synergy score may be calculated by considering the characteristics of the shopping mall currently operated by each potential buyer and the characteristics of the target shopping mall together. For example, the characteristics of both shopping malls may be compared through a comparison / matching algorithm, and based on the results, the merger and acquisition synergy score may be calculated on a scale of 0 to 100 points.

[0041] According to an embodiment, the matching algorithm may include a vector matching algorithm, and the merger and acquisition brokerage platform operating device (100) may be configured to quantify sales information, membership information, and interest field information of online shopping malls operated by potential buyers and convert them into a first vector, quantify due diligence data and corporate value of the target shopping mall and convert them into a second vector, and apply a vector matching algorithm to the first vector and the second vector to calculate a merger and acquisition synergy score. For example, sales information, membership information, interest fields, and types of products sold of two shopping malls may be quantified in the form of vectors, and a merger and acquisition synergy score may be calculated by applying a vector matching algorithm to both vectors. For example, a vector similarity index, such as cosine similarity between two vectors, may be calculated, and the higher the vector similarity index, the higher the merger and acquisition synergy score may be calculated.

[0042] According to an embodiment, the acquisition and merger brokerage platform operating device (100) may be configured to generate a standard contract between the owner of the target shopping mall and the acquisition and merger subject regarding the acquisition and merger of the target shopping mall when there is approval of the transaction proposal from the acquisition subject, and to provide the standard contract to the owner of the target shopping mall and the acquisition subject through the acquisition and merger brokerage platform. Alternatively, approval of the transaction proposal may be required from both the owner of the target shopping mall and the acquisition subject. Once the intention of both parties to trade is confirmed, a standard contract corresponding to the contents of the transaction proposal is generated and can be delivered to both parties through the acquisition and merger brokerage platform.

[0043] According to an embodiment, the merger and acquisition brokerage platform operating device (100) may be configured to analyze legal risks regarding the merger and acquisition of a target shopping mall based on due diligence data using a first model, and to include special provisions regarding legal risks in a standard contract. For example, if there is a debt amount secured by the target shopping mall, a special provision regarding the handling of said debt amount (such as a method of deducting the debt amount from the transaction price) may be additionally included in the standard contract. Alternatively, legal risks may include fines, etc., resulting from false / exaggerated advertising, violation of legal disclosure obligations, violation of consumer damage-related laws, infringement of intellectual property rights, or violation of obligations under the Electronic Commerce Act. Legal risks may be identified through crawling of administrator (admin) data, inquiry into the disclosure of information related to administrative dispositions, etc.

[0044] According to an embodiment, the acquisition and merger brokerage platform operating device (100) may be configured to generate an expected acquisition value by estimating the corporate value of the acquired shopping mall based on the results of the acquisition and merger for a predetermined period after the target shopping mall is acquired by the acquisition and merger target using a second model, based on the registration information of the acquisition and merger target, due diligence data for the target shopping mall, and the corporate value of the target shopping mall, and to provide the expected acquisition value to the acquisition and merger target through the acquisition and merger brokerage platform. For example, a first model based on LLM or a third model that is separately trained for this function may be utilized, and the value of the merged shopping mall may be estimated for each year during a period of 5 years after the acquisition and merger. For example, through the expected acquisition value for the next n years, it may be predicted how many years after the acquisition and merger the break-even point will be possible, and this may be used as a reference for the acquisition and merger target to make a decision.

[0045] FIG. 3 illustrates the process of an operating device for an artificial intelligence-based online shopping mall merger and acquisition brokerage platform according to some embodiments.

[0046] Referring to FIG. 3, an image (300) illustrating the process of an AI-based online shopping mall merger and acquisition brokerage platform operating device may be shown.

[0047] As shown in image (300), from the perspective of a customer who wishes to sell the target shopping mall, it may only be necessary to grant access to the admin page and share the URL of the online shopping mall, and all remaining intermediate procedures for matching the final buyer can be performed by the merger and acquisition brokerage platform operating device (100). Therefore, a customer who wishes to sell the target shopping mall may be able to proceed with the sale via a fast track through a simple application.

[0048] FIG. 4 illustrates criteria for generating / evaluating actual data and / or corporate value using an artificial intelligence (AI)-based model according to some embodiments.

[0049] Referring to FIG. 4, a table (400) illustrating criteria for generating / evaluating actual data and / or corporate value using an artificial intelligence (AI)-based model may be illustrated.

[0050] As illustrated in the table (400), the generation of actual data can be performed by considering three major categories: cash flow, product competitiveness, and potential risks. In particular, since non-recurring factors, repurchase rates, social media activity levels, seasonal factors, and legal risks due to intellectual property infringement can be considered, the actual data and / or corporate value of the target shopping mall can be generated more precisely.

[0051] FIGS. 5 to 8 illustrate a transaction proposal proposing a merger and acquisition transaction for a target shopping mall created using a design tool according to some embodiments.

[0052] Referring to FIGS. 5 to 8, example pages (500, 600, 700, 800) of a transaction proposal proposing a merger and acquisition transaction for a target shopping mall created using a design tool may be illustrated.

[0053] In the example page (500) of Fig. 5, the item / category, monthly operating profit, desired sale price, etc. of the target shopping mall may be displayed, and an example of an acquirer for a men's street fashion mall with 100,000 members and a repurchase rate of 23% may be displayed as a men's target brand, a fashion startup, etc.

[0054] In the example page (600) of FIG. 6, the operating profit for the last 5 months is displayed in the form of a visual graph through the analysis of sales and costs of the target shopping mall. In particular, the average operating profit that can be expected when acquiring a shopping mall is displayed concisely, and at the same time, the data and trends on which the amount was calculated are displayed in detail, which can provide information with high readability to potential buyers.

[0055] In the example page (700) of FIG. 7, a portfolio of products sold by the target shopping mall may be shown, and in the example page (800) of FIG. 8, marketing advertising performance of the target shopping mall and the growth potential therefrom may be provided in the form of a graph / chart.

[0056] FIG. 9 illustrates steps constituting a method for operating an artificial intelligence-based online shopping mall merger and acquisition brokerage platform according to some embodiments.

[0057] Referring to FIG. 9, the method (900) for operating an AI-based online shopping mall merger and acquisition brokerage platform may include steps (910) to (950). However, it is not limited thereto, some steps may be omitted or other general steps may be added, and the steps of the method (900) for operating a merger and acquisition brokerage platform may be executed in a different order than the illustrated order.

[0058] The method of operating an acquisition and merger brokerage platform (900) may consist of steps processed in a time-series manner in the acquisition and merger brokerage platform operating device (100). Therefore, even if the content is omitted below, the description of the acquisition and merger brokerage platform operating device (100) above may be equally applicable to the method of operating an acquisition and merger brokerage platform (900).

[0059] The merger and acquisition brokerage platform operation method (900) can be performed by the memory (110) and processor (120) of the merger and acquisition brokerage platform operation device (100).

[0060] In step (910), the merger and acquisition brokerage platform operating device (100) can perform the step of generating due diligence data by performing due diligence on the status of the target shopping mall using a first model based on a large-scale language model (LLM).

[0061] In step (920), the merger and acquisition brokerage platform operating device (100) can perform the step of calculating the corporate value of the target shopping mall based on actual data using a machine learning-based second model.

[0062] In step (930), the merger and acquisition brokerage platform operating device (100) can perform the step of selecting a target for a purchase offer by comparing due diligence data and corporate value with the registration information of potential buyers registered on the merger and acquisition brokerage platform using a matching algorithm.

[0063] In step (940), the merger and acquisition brokerage platform operating device (100) can perform the step of generating a transaction proposal proposing a merger and acquisition transaction for a target shopping mall based on due diligence data and corporate value using a design tool.

[0064] In step (950), the merger and acquisition brokerage platform operating device (100) can perform the step of providing a transaction proposal to the buyer through the merger and acquisition brokerage platform.

[0065] According to an embodiment, the method for operating a merger and acquisition brokerage platform (900) may be implemented in the form of a computer program stored on a computer-readable storage medium. That is, the computer program may include instructions for implementing the method for operating a merger and acquisition brokerage platform (900), and the instructions of the program may be stored on a computer-readable storage medium. The computer program may include a mobile application.

[0066] According to an embodiment, a computer-readable storage medium may include magnetic media such as a hard disk, a floppy disk, and a magnetic tape, optical media such as a CD-ROM and a DVD, magneto-optical media such as a floptical disk, and a hardware device specifically configured to store and execute computer program instructions such as ROM, RAM, and flash memory. Computer program instructions may include machine code generated by a compiler and high-level language code that can be executed by a computer using an interpreter, etc.

[0067] Although embodiments of the present invention have been described in detail above, the scope of rights according to the present invention is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concept of the present invention as described in the following claims should also be interpreted as being included within the scope of rights according to the present invention.

Claims

Claim 1 An operating device for an AI-based online shopping mall merger and acquisition brokerage platform, comprising: a memory configured to store commands; and a processor configured to execute the commands to crawl administrator data of a target shopping mall using a first model based on a large-scale language model (LLM) to calculate performance indicators including at least one of monthly sales, repurchase rate, and refund rate, perform due diligence on the status of the target shopping mall to generate due diligence data, calculate the enterprise value of the target shopping mall based on the due diligence data using a second model based on machine learning, derive correlations between the due diligence data to identify non-recurring elements or missing due diligence data, determine whether a sales increase at a specific point in time is a non-recurring sales increase to calculate the final enterprise value, select a buyer by comparing the due diligence data and the enterprise value with registration information of potential buyers registered on the merger and acquisition brokerage platform using a matching algorithm, and automatically generate a transaction proposal proposing a merger and acquisition transaction for the target shopping mall based on the due diligence data and the enterprise value using a design tool, and provide the transaction proposal to the buyer through the merger and acquisition brokerage platform. An artificial intelligence-based online shopping mall merger and acquisition brokerage platform operating device including Claim 2 An AI-based online shopping mall merger and acquisition brokerage platform operating device according to claim 1, wherein the first model includes a language model-based generative AI model, and the processor is configured to generate actual data by crawling public data of the target shopping mall and marketing channels of the target shopping mall using the generative AI model, and the public data includes product items for sale, product detail pages, number of reviews, review ratings, and number of Q&A, and the administrator data includes the number of members and sales. Claim 3 In paragraph 2, the processor is configured to use the generative artificial intelligence model to collect positioning information relative to competitors within the relevant industry of the target shopping mall, brand value information of the target shopping mall, and review information regarding products sold by the target shopping mall, and to generate a comprehensive report to explain the actual data based on the positioning information, brand value information, and review information. Claim 4 An AI-based online shopping mall merger and acquisition brokerage platform operating device according to claim 1, wherein the second model includes a model trained to calculate a corporate value based on valuation cases of other shopping malls similar to the target shopping mall, and the processor is configured to calculate a provisional corporate value based on financial statements and brand value information of the target shopping mall using the second model, and to calculate the final corporate value by correcting seasonality factors from the provisional corporate value. Claim 5 An AI-based online shopping mall merger and acquisition brokerage platform operating device according to claim 1, wherein the registration information of the potential buyers includes sales information, membership count information, and interest field information of the online shopping malls operated by the potential buyers, and the processor calculates a merger and acquisition synergy score for the potential buyers by comparing the sales information, membership count information, and interest field information of the online shopping malls operated by the potential buyers with the due diligence data and the corporate value, and is configured to select the target of the acquisition proposal based on the merger and acquisition synergy score. Claim 6 An AI-based online shopping mall merger and acquisition brokerage platform operating device according to claim 1, wherein the processor is configured to generate a standard contract between the owner of the target shopping mall and the buyer regarding the merger and acquisition of the target shopping mall and provide it to the owner of the target shopping mall and the buyer when the buyer approves the transaction proposal, and to analyze legal risks regarding the merger and acquisition of the target shopping mall based on due diligence data using the first model and to include special provisions regarding legal risks in the standard contract. Claim 7 An AI-based online shopping mall merger brokerage platform operating device according to claim 1, wherein the processor is configured to generate an expected merger value by estimating the corporate value of the merger-acquired shopping mall according to the merger-acquired result for a predetermined period after the target shopping mall is merged by the target shopping mall using the second model, based on the registration information of the target shopping mall, the due diligence data for the target shopping mall, and the corporate value of the target shopping mall, and to provide the expected merger value to the target shopping mall through the merger-acquired brokerage platform.

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