KR102886021B1 - The Method And System For Providing A Market Platform For Semiconductor Processing Equipment Parts That Provides Matching Functions According To Demand And Supply Level - Google Patents

Abstract

The present invention relates to a method and system for providing a semiconductor process equipment parts market platform that provides a matching function according to demand and processing demand, and more specifically, to a method and system for providing a semiconductor process equipment parts market platform that provides a matching function according to demand and processing demand, by deriving market supply and demand information based on past transaction history for a product that an importer wishes to purchase, and matching an exporter related to the product with the importer according to the market supply and demand information.

Description

The Method and System for Providing a Market Platform for Semiconductor Processing Equipment Parts That Provides Matching Functions According to Demand and Supply Level

The present invention relates to a method and system for providing a semiconductor process equipment parts market platform that provides a matching function according to demand and processing demand, and more specifically, to a method and system for providing a semiconductor process equipment parts market platform that provides a matching function according to demand and processing demand, by deriving market supply and demand information based on past transaction history for a product that an importer wishes to purchase, and matching an exporter related to the product with the importer according to the market supply and demand information.

The global semiconductor equipment market is worth approximately 100 trillion won, of which the global market for used semiconductor equipment and components amounts to approximately 1.4 trillion won. Demand for semiconductor-related equipment is constantly growing, not only for the latest equipment but also for semiconductors utilizing previous-generation process technologies. Therefore, depending on the size of the global semiconductor market, both general and used transactions for semiconductor process equipment components can occur globally through exports or imports.

Meanwhile, when trading semiconductor process equipment components, there are times when the product an importer wants to purchase isn't available on the market. In such cases, the importer must wait until an exporter sells the product or purchase it through another channel. If the importer could directly request the product from the exporter, the transaction could be completed at a desired time or price.

In this context, export and import transactions can be conducted more efficiently if importers predict the exporter's sales potential for the product they wish to purchase and then request a transaction from that exporter. In this context, technology is needed to match importers with exporters likely to sell the product they wish to purchase, based on past transaction history.

The present invention provides a method and system for providing a semiconductor process equipment parts market platform that provides a matching function according to demand and processing demand, and more specifically, the purpose of the present invention is to provide a method and system for providing a semiconductor process equipment parts market platform that provides a matching function according to demand and processing demand, by deriving market supply and demand information based on past transaction history for a product that an importer wishes to purchase, and matching an exporter related to the product with the importer according to the market supply and demand information.

In order to solve the above problem, in one embodiment of the present invention, a method for providing a semiconductor process equipment parts market platform that provides a matching function according to demand and processing level, the method comprising: a first matching step of matching an importer who wishes to purchase a product with an exporter who has the potential to sell, based on a past transaction history, wherein the first matching step comprises: a market supply and demand information derivation step of, upon receiving parts information on a semiconductor process equipment parts-related product to be purchased from an importer terminal of the importer, deriving market supply and demand information including period-specific sales volume, period-specific purchase volume, and expected price through a customer management module that analyzes market supply and demand based on past transaction history; a seller matching list generation step of, upon providing the market supply and demand information to the importer terminal and then receiving a desired purchase price for the product from the importer terminal, generating a seller matching list including a list of one or more exporters who match the product and the desired purchase price through the customer management module; And a purchase information provision step of providing the seller matching list to the importer terminal, and then, when an exporter who wishes to transact is selected from the importer terminal, providing purchase information including a purchase request for the semiconductor process equipment parts, the parts information, and the desired purchase price to the exporter terminal of the exporter; A method for providing a semiconductor process equipment parts market platform, comprising:

In one embodiment of the present invention, the customer management module stores a risk score calculated for each exporter, creates a seller matching list based on the risk score, and the seller matching list includes a list of exporters whose risk score is lower than or equal to a preset sales score among one or more exporters that match the corresponding product and the corresponding desired purchase price. A method for providing a semiconductor process equipment parts market platform.

In one embodiment of the present invention, the method for providing a semiconductor process equipment parts market platform further includes a second matching step of matching an exporter who wishes to sell a product with an importer who is likely to purchase the product based on a past transaction history, wherein the second matching step includes: a demand forecast information derivation step of, upon receiving parts information on a semiconductor process equipment parts-related product to be sold from an exporter terminal of the exporter, deriving demand forecast information including a sales volume by period, a purchase volume by period, and an expected price based on the past transaction history through a customer management module; a buyer matching list generation step of, upon providing the demand forecast information to the exporter terminal and receiving a sales price for the product from the exporter terminal, generating a buyer matching list including one or more importers who match the product and the sales price through the customer management module; A method for providing a semiconductor process equipment parts market platform, comprising: a step of providing the buyer matching list to the exporter terminal, providing sales information to the importer terminals of one or more importers, and then transmitting the purchase intent to the exporter terminal when a purchase intent is received from one or more importer terminals.

In one embodiment of the present invention, the method for providing a semiconductor process equipment parts market platform further includes an export/import abusing detection step, wherein the export/import abusing detection step includes: a product information receiving step for receiving product information including an ECCN product identification number, a product description including text, a product image, and price information for a product to be sold from an exporter terminal of the corresponding exporter; a product transaction step for uploading a product related to the product information to a market platform and receiving a transaction request for one or more products from an importer terminal of the corresponding importer; a first abusing detection step for determining whether the transaction is a valid transaction by confirming the ECCN product identification number and a company related to the importer based on regulatory information pre-stored in a database; A method for providing a semiconductor process equipment parts market platform, comprising: a risk score management step of calculating a risk score for each of the exporter and the importer based on the exporter information for the corresponding exporter, the importer information for the corresponding importer, and the product information, and storing the risk score in a database.

In one embodiment of the present invention, the risk score management step includes an exporter risk score management step, and the exporter risk score management step includes: an ECCN item identification number consistency confirmation step of inputting the product information into a macro language model to confirm whether the ECCN item identification number of the corresponding product matches the ECCN item identification number received from the exporter terminal, and if a mismatch in the ECCN item identification numbers occurs, increasing the risk score of the corresponding exporter; a product information change confirmation step of confirming whether the ECCN item identification number or product description included in the product information has been changed a preset number of times or more within a preset period, and if the ECCN item identification number or product description has been changed a preset number of times or more, increasing the risk score of the corresponding exporter; an ECCN item identification number change confirmation step of confirming whether the ECCN item identification number initially received from the exporter terminal matches the ECCN item identification number at the time of the corresponding product transaction, and if a mismatch in the ECCN item identification numbers occurs, increasing the risk score of the corresponding exporter; A method for providing a semiconductor process equipment parts market platform, comprising: a product image analysis step of extracting component information from the product image using a deep learning-based image analysis model, determining whether the component information matches the component information included in the product description, and increasing the risk score of the exporter in case of a component information mismatch;

In order to solve the above problem, in one embodiment of the present invention, a semiconductor process equipment parts market platform providing system that provides a matching function according to demand and processing level, the system includes a first matching module that matches an importer who wishes to purchase a product with an exporter who has the potential to sell, based on a past transaction history, wherein the first matching module receives parts information on a semiconductor process equipment parts-related product that the importer wishes to purchase from an importer terminal of the importer, and derives market supply and demand information including period-specific sales volume, period-specific purchase volume, and expected price through a customer management module that analyzes market supply and demand based on past transaction history; a seller matching list generating unit that provides the market supply and demand information to the importer terminal and then, upon receiving a desired purchase price for the product from the importer terminal, generates a seller matching list including a list of one or more exporters that match the product and the desired purchase price through the customer management module; A semiconductor process equipment parts market platform provision system, comprising: a purchase information provision unit that provides the seller matching list to the importer terminal, and then, when an exporter who wishes to transact is selected from the importer terminal, provides purchase information including a purchase request for the semiconductor process equipment parts, the parts information, and the desired purchase price to the exporter terminal of the exporter;

According to one embodiment of the present invention, it is possible to detect abuse of exporters and importers based on exporter information, product information, and importer information.

According to one embodiment of the present invention, by calculating risk scores for exporters and importers, it is possible to achieve the effect of suspending transactions when the risk score is higher than a reference score.

According to one embodiment of the present invention, it is possible to achieve the effect of suspending transactions for exporters and importers based on a risk score graph related to a risk score.

According to one embodiment of the present invention, it is possible to achieve the effect of extracting component information from a product image through an image analysis model.

According to one embodiment of the present invention, the image analysis model can be used to analyze product images and thereby provide an effect of adding a risk score to the exporter.

According to one embodiment of the present invention, it is possible to verify the ECCN item identification number of an exported product and the exporting company based on regulatory information.

According to one embodiment of the present invention, an exporter can upload a product to be sold to a market platform, thereby enabling an importer to purchase the product.

According to one embodiment of the present invention, it is possible to receive exporter information and product information from an exporter terminal through a market platform, and to receive a transaction request and importer information from an importer terminal.

According to one embodiment of the present invention, it is possible to achieve the effect of verifying the ECCN item identification number for a product through a large language model.

According to one embodiment of the present invention, the effect of matching related exporters can be achieved by providing the importer with a seller matching list of exporters related to the products and purchase prices that the importer wishes to purchase.

According to one embodiment of the present invention, the exporter can provide the exporter with a buyer matching list of importers related to the products and selling prices the exporter wishes to sell, thereby enabling matching with related importers.

According to one embodiment of the present invention, the safety of transactions can be enhanced by generating a seller matching list based on the exporter's risk score.

According to one embodiment of the present invention, it is possible to achieve the effect of being able to predict purchases for a given product by deriving market supply and demand information based on past transaction history.

According to one embodiment of the present invention, it is possible to achieve the effect of being able to predict sales for a product by deriving demand forecast information based on past transaction history.

Figure 1 schematically illustrates the connection configuration and internal configuration of a server system according to one embodiment of the present invention.
Figure 2 schematically illustrates the connection configuration of a server system and an exporter terminal and an importer terminal according to one embodiment of the present invention.
Figure 3 schematically illustrates the execution process of the first abusing detection step according to one embodiment of the present invention.
Figure 4 schematically illustrates the execution process of the risk score management step according to one embodiment of the present invention.
Figure 5 schematically illustrates weights in the exporter risk score management step according to one embodiment of the present invention.
Figure 6 schematically illustrates the execution steps of a product image analysis step according to one embodiment of the present invention.
Figure 7 schematically illustrates the execution process of a product image analysis step according to one embodiment of the present invention.
Figure 8 schematically illustrates the execution process of the second abusing detection step according to one embodiment of the present invention.
Figure 9 schematically illustrates the execution process of the second abusing detection step according to a risk score graph according to one embodiment of the present invention.
Figure 10 schematically illustrates the internal configuration of a database according to one embodiment of the present invention.
Figure 11 schematically illustrates the internal configuration and connection configuration of a server system according to one embodiment of the present invention.
Figure 12 schematically illustrates the internal configuration of a first matching module and a second matching module according to one embodiment of the present invention.
Figure 13 schematically illustrates the execution steps of the first matching step according to one embodiment of the present invention.
Figure 14 schematically illustrates the execution process of the seller matching list creation step according to one embodiment of the present invention.
Figure 15 schematically illustrates the execution steps of the second matching step according to one embodiment of the present invention.
Figure 16 illustrates an internal configuration of a computing device according to one embodiment of the present invention.

Hereinafter, various embodiments and/or aspects are now disclosed with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of one or more aspects. However, it will be apparent to one skilled in the art that such aspects may be practiced without these specific details. The following description and the attached drawings detail specific exemplary aspects of one or more aspects. However, these aspects are exemplary, and it is to be understood that any of the various methods within the principles of the various aspects may be utilized, and the description is intended to encompass all such aspects and their equivalents.

Additionally, terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but the components are not limited by these terms. These terms are used solely to distinguish one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. The term and/or includes a combination of a plurality of related described items or any of a plurality of related described items.

Additionally, in the embodiments of the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense unless explicitly defined in the embodiments of the present invention.

The "exporter terminal" and "importer terminal" mentioned below may be implemented as a computer or portable terminal that can access a server or other terminal via a network. Here, the computer includes, for example, a notebook, desktop, or laptop equipped with a web browser, and the portable terminal may include, for example, all types of handheld-based wireless communication devices such as a smartphone, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet), BLE beacon (Bluetooth Low Energy Beacon) terminal, which are wireless communication devices that ensure portability and mobility. Additionally, the “network” may be implemented as a wired network such as a Local Area Network (LAN), a Wide Area Network (WAN), or a Value Added Network (VAN), or any type of wireless network such as a mobile radio communication network or a satellite communication network.

1. Method and system for providing a semiconductor process equipment parts market platform that detects and manages abuse by exporters and importers.

Below, we will explain the method and system for providing a semiconductor process equipment parts market platform that detects and manages abuse by exporters and importers, as well as the steps performed by each component.

Figure 1 schematically illustrates the internal configuration and connection configuration of a server system (1000) according to one embodiment of the present invention.

Schematically, FIG. 1 illustrates the internal configuration of a server system (1000) that performs the semiconductor process equipment parts market platform provision method and system, and the connection configuration between the server system (1000) and an exporter terminal (2000) and an importer terminal (3000).

Specifically, the semiconductor process equipment parts market platform providing method and system are performed in a server system (1000) including one or more processors and one or more memories, and as illustrated in FIG. 1, the server system (1000) communicates with an exporter terminal (2000) and an importer terminal (3000) and can perform the semiconductor process equipment parts market platform providing method and system.

The server system (1000) comprises: a product information receiving unit (100) that performs a product information receiving step of receiving product information including an ECCN product identification number, a product description including text, a product image, and price information for a semiconductor process equipment component-related product to be sold from an exporter terminal (2000) of the exporter; a product transaction unit (200) that uploads a product related to the product information to a market platform and performs a product transaction step of receiving a transaction request for one or more products from an importer terminal (3000) of the importer; and a first abusing detection unit (300) that performs a first abusing detection step of determining whether a transaction is a valid transaction by confirming the ECCN product identification number and a company related to the importer based on regulatory information pre-stored in a database (600). It includes a risk score management unit (400) that calculates a risk score for each of the exporter and the importer based on the exporter information for the corresponding exporter, the importer information for the corresponding importer, and the product information, and performs a risk score management step of storing the risk score in a database (600); a second abuse detection unit (500) that performs a second abuse detection step of suspending transactions of the exporter and the importer based on the risk score; and a database (600).

In one embodiment of the present invention, the exporter terminal (2000) may include a terminal used by an exporter who wishes to perform a transaction such as exporting semiconductor process equipment parts through the semiconductor process equipment parts market platform provision method and system, and the importer terminal (3000) may include a terminal used by an importer who wishes to perform a transaction such as importing semiconductor process equipment parts through the semiconductor process equipment parts market platform provision method and system.

At this time, the connection configuration between the exporter terminal (2000) or the importer terminal (3000) and the server system (1000) may include a form of connecting to the server system (1000) through the exporter terminal (2000) or the importer terminal (3000) including a computer or portable terminal used by each of one or more exporters or importers.

The above semiconductor process equipment components correspond to equipment used for each semiconductor process, or components used in semiconductor process equipment, and may include materials, components, and equipment used in semiconductors, as well as components for semiconductor processes, semiconductor components, or semiconductor equipment.

More specifically, each component included in the server system (1000) illustrated in FIG. 1 serves to control the operation of the server system (1000) that performs the semiconductor process equipment parts market platform provision method and system of the present invention.

The product information receiving unit (100) of the above server system (1000) can receive product information including an ECCN product identification number, a product description including text, a product image, and price information for a product related to semiconductor process equipment parts to be sold from an exporter terminal (2000) of the corresponding exporter, and in one embodiment of the present invention, the ECCN product identification number corresponds to ECCN, which is an abbreviation for Export Control Classification Number, and refers to a numbering system for classifying products within the CCL (Commercial Control List), which is a list of dual-use export control regulation items of the Export Administration Regulations (EAR) of the United States, and can be used interchangeably as a system such as the strategic material classification number of our country.

The product transaction unit (200) of the above server system (1000) can upload products related to the product information to a market platform and receive a transaction request for one or more products from an importer terminal (3000) of the importer. In one embodiment of the present invention, the market platform is a platform for selling or purchasing semiconductor process equipment parts-related products, and can include a platform for connecting transactions between exporters and importers so that products related to semiconductor process equipment parts that an exporter wishes to sell are displayed on the market platform and the importer can purchase the products that the exporter wishes to purchase.

The first abusing detection unit (300) of the server system (1000) can determine whether the transaction is valid by checking the ECCN product identification number and the company related to the importer based on the regulatory information pre-stored in the database (600), and the regulatory information includes a list of ECCN product identification numbers whose exports are restricted, a list of companies whose exports are restricted, and a matching list, and the matching list can include a list of companies and ECCN product identification numbers that match the companies to indicate that the companies will restrict the export or import of products corresponding to the ECCN product identification numbers.

In one embodiment of the present invention, the first abusing detection step may include: a step of confirming whether the ECCN product identification number of the corresponding product is included in the ECCN product identification number list; a step of confirming whether company information related to the corresponding exporter is included in the company list; and a step of confirming whether the ECCN product identification number of the corresponding product and company information related to the corresponding exporter are included in the matching list.

The risk score management unit (400) of the server system (1000) may calculate a risk score for each exporter and each importer based on the exporter information for the corresponding exporter, the importer information for the corresponding importer, and the product information, and store the risk score in the database (600).

In one embodiment of the present invention, the method may include an importer risk score management step of checking whether the country information related to the importer's nationality, importer IP, and delivery address information for the importer in the product transaction step are all consistent, and if a country information mismatch occurs, increasing the importer's risk score; and an exporter risk score management step of increasing the exporter's risk score based on the ECCN product identification number, product description, and product image.

The second abusing detection unit (500) of the server system (1000) can suspend transactions of exporters and importers based on the risk score, and in one embodiment of the present invention, the second abusing detection step may include a first transaction suspension step of suspending transactions of the corresponding exporter or importer when the risk score is higher than a preset reference score; and a second transaction suspension step of continuously updating a risk score graph based on the risk score, and suspending transactions of the corresponding exporter or importer when the slope of the risk score graph is higher than the preset reference slope.

The database (600) of the above server system (1000) may include exporter information, importer information, product information, regulatory information, risk score, and risk score graph, and a more specific description of the database (600) will be described later in the description of FIG. 10.

FIG. 2 schematically illustrates the connection configuration of a server system (1000), an exporter terminal (2000), and an importer terminal (3000) according to one embodiment of the present invention.

In outline, the above server system (1000) can communicate with an exporter terminal (2000) and an importer terminal (3000) and perform the semiconductor process equipment parts market platform provision method and system.

As illustrated in FIG. 2, the server system (1000) can receive exporter information and product information from the exporter terminal (2000). An exporter seeking to sell semiconductor process equipment components can transmit exporter information and product information to the server system (1000) via the exporter terminal (2000). The exporter information may include the exporter's country of origin and IP address, and the product information may include the ECCN item identification number of the product, a product description including text, a product image, and price information. In this case, the product description may include component information.

In one embodiment of the present invention, the exporter's nationality may correspond to the nationality entered by the exporter when registering as a member of the market platform, or the exporter's nationality may correspond to the nationality of the exporter determined based on country information extracted through the exporter IP corresponding to the IP address through which the exporter terminal (2000) accessed the market platform.

Additionally, the server system (1000) can receive a transaction request and importer information from the importer terminal (3000). An importer wishing to purchase a product related to semiconductor process equipment components can transmit a transaction request and importer information to the server system (1000) via the importer's importer terminal (3000). The transaction request may include an expression of intent to purchase one or more products uploaded to the market platform, and the importer information may include the importer's nationality, importer IP, and delivery address information.

In one embodiment of the present invention, the importer's nationality may correspond to the nationality entered by the importer when registering as a member of the market platform or when sending a transaction request from the importer terminal (3000) to the server system (1000), or the importer's nationality may correspond to the nationality of the importer determined based on country information extracted through the importer IP corresponding to the IP address through which the importer terminal (3000) accessed the market platform. The delivery address information may include the delivery address for the product entered from the importer terminal (3000), and country information may be determined from the delivery address information.

Figure 3 schematically illustrates the execution process of the first abusing detection step according to one embodiment of the present invention.

Specifically, the first abusing detection step can determine whether the transaction is a valid transaction by checking the ECCN product identification number and the company related to the importer based on the regulatory information pre-stored in the database (600), and the regulatory information includes a list of ECCN product identification numbers whose exports are restricted, a list of companies whose exports are restricted, and a matching list, and the matching list can include a list of companies and ECCN product identification numbers that match the companies, meaning that the companies will restrict the export or import of products corresponding to the ECCN product identification numbers.

The first abusing detection step may include: a step of confirming whether the ECCN product identification number of the relevant product is included in the ECCN product identification number list; a step of confirming whether the company information related to the relevant exporter is included in the company list; and a step of confirming whether the ECCN product identification number of the relevant product and the company information related to the relevant exporter are included in the matching list.

Preferably, for products corresponding to ECCN product identification numbers included in the ECCN product identification number list, exports may be restricted for all exporters, for companies included in the company list, exports may be restricted for all products, and for specific companies according to the matching list, exports may be restricted for specific products. In this case, the company is a company that wishes to export through the server system (1000) and may be included in the exporters, and the products may include products related to semiconductor process equipment parts.

Accordingly, in the first abusing detection step, if the ECCN product identification number of the relevant product is included in the ECCN product identification number list, if the company information related to the relevant exporter is included in the company list, or if the ECCN product identification number of the relevant product and the company information related to the relevant exporter are included in the matching list, the transaction may be judged to be invalid because export is restricted and the transaction may not proceed any further.

As illustrated in FIG. 3, regulatory information is stored in the database (600) of the server system (1000), and the regulatory information may include a list of ECCN product identification numbers, a list of companies, and a matching list. For example, according to the regulatory information illustrated in FIG. 3, a product whose ECCN product identification number corresponds to any one of 3A001, 3A611, 9A515, 9B515, and 9A610 may be restricted from exporting to all exporters, and if the company wishing to export the product corresponds to any one of Company A, Company B, Company AB, Company BC, and Company ABC, export may be restricted for all products.

Additionally, Company C may be restricted from exporting products with ECCN item identification numbers 3A100 or 3B111, Company D may be restricted from exporting products with ECCN item identification numbers 5A123, and Company ABCD may be restricted from exporting products with ECCN item identification numbers 6A011 or 6A012.

Figure 4 schematically illustrates the execution process of the risk score management step according to one embodiment of the present invention.

In outline, Figure 4 (a) illustrates the execution process of the importer risk score management step, and Figure 4 (b) illustrates the execution process of the exporter risk score management step.

Specifically, the importer risk score management step checks whether the country information related to the importer's nationality, importer IP, and delivery address information for the importer in the product transaction step all match, and if a mismatch in the country information occurs, the risk score of the importer can be increased, and the exporter risk score management step can increase the risk score of the exporter based on the ECCN product identification number, product description, and product image.

As illustrated in (a) of FIG. 4, in the importer risk score management step, if there is a country information mismatch or if the delivery location is a detour, the risk score of the importer may be increased. In one embodiment of the present invention, when receiving a transaction request from the importer terminal (3000) in the product transaction step, importer information including the importer's country of origin, importer IP address, and delivery location information may be received together. If the country information related to the importer's country of origin, importer IP address, and delivery location information for the importer are all mismatched, the risk score of the importer may be increased. If any one of the country information related to the importer's country of origin, importer IP address, and delivery location information is different, the risk score of the importer may be increased.

Additionally, if the importer uses a detour delivery address based on the above delivery address information, the importer's risk score may increase. For importers with existing transaction history, the use of a detour delivery address can be determined based on the transaction history and the above delivery address information.

As shown in (b) of Figure 4, in the exporter risk score management step, the exporter's risk score can be increased in cases of ECCN mismatch, product information change, ECCN change, component information mismatch, product image ECCN mismatch, high-risk ECCN concentration, sanctioned country keyword, sanctioned country adjacent transaction, and price abnormality.

In one embodiment of the present invention, if the ECCN item identification number derived from the product information does not match the ECCN item identification number received from the exporter terminal (2000), the risk score of the corresponding exporter can be increased. The product information received through the product information receiving step can be input into a macro-language model located inside or outside the server system (1000) to check whether the ECCN item identification number related to the product information matches the ECCN item identification number received from the exporter terminal (2000), and if the ECCN item identification number of the corresponding product determined by the macro-language model based on the product information does not match the ECCN item identification number received from the exporter terminal (2000), the risk score of the corresponding exporter can be increased.

Additionally, if the ECCN item identification number or product description included in the product information is changed by the exporter terminal (2000), the risk score of the relevant exporter may be increased. It is possible to check whether the ECCN item identification number or product description included in the product information has been changed more than a preset number of times within a preset period, and if the ECCN item identification number or product description has been changed more than a preset number of times, the risk score of the relevant exporter may be increased.

If the ECCN Item Identification Number received from the exporter terminal (2000) during product information registration does not match the ECCN Item Identification Number used during the actual product transaction, the exporter's risk score may be increased. If the ECCN Item Identification Number included in the product information received from the exporter terminal (2000) during the product information reception step does not match the ECCN Item Identification Number used during the product transaction, the exporter's risk score may be increased.

If there is a discrepancy between the component information that can be derived from the above product image and the component information included in the product description received from the exporter terminal (2000), the risk score of the exporter may be increased. The product image received through the above product information receiving step may be input into a deep learning-based image analysis model located inside or outside the server system (1000) to extract component information from the product image, and if the component information extracted through the image analysis model does not match the component information included in the product description, the risk score of the exporter may be increased.

If the ECCN item identification number derived from the above product image does not match the ECCN item identification number included in the product description received from the exporter terminal (2000), the risk score of the exporter in question may be increased. The ECCN item identification number may be derived from the extracted component information by inputting the above product image into the image analysis model, and if the ECCN item identification number does not match the ECCN item identification number included in the product information received from the exporter terminal (2000), the risk score of the exporter in question may be increased.

In one embodiment of the present invention, if a high-risk ECCN product identification number is intensively traded, the risk score of the exporter may be increased. The server system (1000) pre-stores high-risk ECCN product identification numbers, and if the exporter repeatedly attempts to trade products with high-risk ECCN product identification numbers, the exporter's risk score may be increased.

If a product description received from an exporter terminal (2000) includes keywords related to a sanctioned country, the risk score of the exporter may be increased. The server system (1000) pre-stores sanctioned countries and keywords related to sanctioned countries, and if product information containing keywords related to a sanctioned country is received from the exporter, or product information related to a sanctioned country is received, the risk score of the exporter may be increased.

For an exporter in question, if transactions with a neighboring country to a sanctioned country increase significantly, the exporter's risk score may be increased. The server system (1000) pre-stores information about the sanctioned country and its neighboring countries. Based on all transaction records of the exporter in question stored in the server system (1000), if the exporter repeatedly attempts to transact with a neighboring country to a sanctioned country or if transactions with a neighboring country to a sanctioned country increase significantly, the exporter's risk score may be increased.

If the price information included in the product information received from the exporter terminal (2000) significantly deviates from the market price, the exporter's risk score may be increased. The server system (1000) may store all transaction details for exporters and importers, and thus, based on the transaction details, the average price or price trend for each product may be determined. Accordingly, the server system (1000) may calculate the market price for each product based on the transaction details, and if the price information entered by the exporter deviates from a preset price range relative to the market price, the exporter's risk score may be increased.

Figure 5 schematically illustrates weights in the exporter risk score management step according to one embodiment of the present invention.

In brief, the exporter risk score management step includes: an ECCN item identification number consistency confirmation step of inputting the product information into a macro language model to confirm whether the ECCN item identification number of the product matches the ECCN item identification number received from the exporter terminal (2000), and if a mismatch in the ECCN item identification numbers occurs, the risk score of the exporter is increased; a product information change confirmation step of confirming whether the ECCN item identification number or product description included in the product information has been changed more than a preset number of times within a preset period, and if the ECCN item identification number or product description has been changed more than a preset number of times, the risk score of the exporter is increased; an ECCN item identification number change confirmation step of confirming whether the ECCN item identification number initially received from the exporter terminal (2000) matches the ECCN item identification number at the time of the product transaction, and if a mismatch in the ECCN item identification numbers occurs, the risk score of the exporter is increased; And a product image analysis step of extracting component information from the product image using a deep learning-based image analysis model to determine whether it matches the component information included in the product description, and increasing the risk score of the exporter in case of a mismatch in the component information.

In one embodiment of the present invention, referring to (b) of FIG. 4, the exporter risk score management step can calculate the exporter's risk score by applying different weights to each item to which the exporter's risk score can be added.

Specifically, the risk score of the exporter may be increased in cases of ECCN mismatch, product information change, ECCN change, component information mismatch, product image ECCN mismatch, high-risk ECCN concentration, sanctioned country keywords, sanctioned country neighboring transactions, and price abnormality, and different weights may be applied to each item to increase the risk score of the exporter.

As shown in Figure 5, the risk score of the exporter can be calculated by applying a weight of 0.15 for ECCN mismatch, 0.1 for product information change, 0.1 for ECCN change, 0.2 for component information mismatch, 0.25 for product image ECCN mismatch, 0.25 for high-risk ECCN concentration, 0.15 for sanctioned country keywords, 0.25 for sanctioned country neighboring transactions, and 0.1 for price anomalies.

For example, if the ECCN product identification number derived by inputting the product information entered by the exporter into the macro language model does not match the ECCN product identification number received from the exporter terminal (2000), and the ECCN product identification number included in the product information entered by the exporter has been changed more than a preset number of times, as shown in FIG. 5, since both the ECCN mismatch and product information change items apply, the risk score of the exporter, which was previously 0 points, may be increased by 15 points and 10 points, respectively, to a total of 25 points.

If, according to the second abusing detection step, the risk score is set to be 25 or higher and the transaction is set to be suspended, the transaction of the exporter in question may be suspended because the risk score of the exporter in question is 25.

In one embodiment of the present invention, when an exporter attempts a first transaction through the market platform, a weighting factor for the risk score may be greater than that shown in FIG. 5. For example, if an exporter encounters an ECCN mismatch in the first transaction, a weighting factor of 0.25, different from the weighting factor shown in FIG. 5, may be applied to calculate the risk score. Accordingly, exporters with existing transaction history on the server system (1000) and exporters without existing transaction history on the server system (1000) may be assigned different weighting factors in the exporter risk score management step, resulting in an increased risk score.

Figure 6 schematically illustrates the execution steps of a product image analysis step according to one embodiment of the present invention.

In brief, the product image analysis step included in the exporter risk score management step includes: a parts information extraction step of extracting a serial number and part number included in a product image through a deep learning-based image analysis model, extracting a part name from the product image, and extracting model information and maker information from the product image, the serial number, and the part number; a parts information consistency confirmation step of confirming whether the parts information including the serial number, part number, part name, model information, and maker information extracted through the deep learning-based image analysis model matches the parts information included in the product description received from the exporter terminal (2000), and increasing the risk score of the exporter in case a mismatch in the parts information occurs; And it includes a component information ECCN product identification number verification step of deriving an ECCN product identification number from component information extracted through the deep learning-based image analysis model, checking whether it matches the ECCN product identification number received from the exporter terminal (2000), and increasing the risk score of the exporter in case of a mismatch in the ECCN product identification number.

As illustrated in FIG. 6, according to the product image analysis step, the product image included in the product information received from the exporter terminal (2000) may be input (S10) into a deep learning-based image analysis model located inside or outside the server system (1000) to extract component information from the product image (S11). At this time, the component information may include a serial number, a part number, a part name, model information, and maker information. In one embodiment of the present invention, the product image may include an actual image taken of the product, and an image in which model information or a serial number, etc. are written on the product or a box of the product, and the image analysis model may extract component information through an actual image of the product, or may extract component information through an image in which component information for the product is written.

Thereafter, it can be determined (S12) whether the component information extracted through the image analysis model matches the component information received from the exporter terminal (2000), and if they match, the ECCN item identification number can be derived (S14) from the component information extracted through the image analysis model. If they do not match, the risk score of the exporter in question is added (S13), and then the ECCN item identification number can be derived (S14) from the component information extracted through the image analysis model.

At this time, it can be determined whether the derived ECCN product identification number matches the ECCN product identification number received from the exporter terminal (2000) (S15). If they match, the product image analysis step is terminated and the component information for the corresponding product can be stored in the server system (1000). If they do not match, the risk score of the corresponding exporter is added (S16), and then the product image analysis step can be terminated.

Figure 7 schematically illustrates the execution process of a product image analysis step according to one embodiment of the present invention.

In brief, the above product image analysis step extracts component information from the product image using a deep learning-based image analysis model and determines whether it matches the component information included in the product description. If a mismatch occurs in the component information, the risk score of the exporter may be increased.

As illustrated in FIG. 7, the image analysis model can extract component information from an actual image of the product, or can extract component information from an image containing component information for the product. In one embodiment of the present invention, the product image may include an actual image of the product, as well as an image containing model information or a serial number of the product. If a sticker or tag containing a serial number or the like exists on the actual product or the box of the product, an image of the corresponding portion may also be included in the product image. Accordingly, the product image included in the product information may include one or more images.

The above server system (1000) can input the product image received from the exporter terminal (2000) through the above product information receiving step into the image analysis model to extract component information, and the component information can include a serial number, a part number, a part name, model information, and maker information. At this time, the serial number and part number written in the product image can be extracted first, and then the part name can be extracted from the actual product image included in the product image, and then the model information and maker information can be extracted from the extracted serial number, the extracted part number, and the actual product image included in the product image.

In addition, it is confirmed whether the component information extracted through the image analysis model matches the component information included in the product description received from the exporter terminal (2000), and if a mismatch occurs in the component information, the risk score of the corresponding exporter can be increased. Thereafter, an ECCN product identification number is derived based on the component information extracted through the image analysis model, and it is confirmed whether the ECCN product identification number matches the ECCN product identification number received from the exporter terminal (2000), and if a mismatch occurs in the ECCN product identification number, the risk score of the corresponding exporter can be increased. In one embodiment of the present invention, the step of deriving the ECCN product identification number based on the component information can be performed by the macro language model or the server system (1000).

If, as in FIG. 7, the product image received from the exporter terminal (2000) includes an actual image of the product and an image in which product component information is described, the image analysis model can more conveniently extract component information through the image in which the product component information is described. In the case of FIG. 7, based on the image in which the product component information is described, the serial number of the product can be extracted as Y7NTCX000032XXX, and the part number can be extracted as K8XX. In addition, based on the actual image of the product, the part name of the product can be extracted as Cover Ring. Thereafter, based on the serial number, the part number, and the actual image of the product, the model information of the product can be extracted as UX8402ZA, and the maker information can be extracted as ABCDE.

Preferably, the product image analysis step may add a risk score for the exporter in case the component information extracted through the deep learning-based image analysis model does not match the component information included in the product description received from the exporter terminal (2000), and may add a risk score for the exporter in case the ECCN product identification number derived from the component information extracted through the deep learning-based image analysis model does not match the ECCN product identification number received from the exporter terminal (2000).

Figure 8 schematically illustrates the execution process of the second abusing detection step according to one embodiment of the present invention.

In brief, the second abusing detection step can suspend transactions of exporters and importers based on risk scores, and the second abusing detection step includes: a first transaction suspension step of suspending transactions of the relevant exporter or importer when the risk score is higher than a preset reference score; and a second transaction suspension step of continuously updating a risk score graph based on the risk score, and suspending transactions of the relevant exporter or importer when the slope of the risk score graph is higher than the preset reference slope.

As illustrated in FIG. 8, in the risk score management step, the risk scores calculated for each exporter and each importer can be stored in a database (600), and in the second abusing detection step, transactions of the exporter and importer can be suspended based on the risk scores. As illustrated in FIG. 8, the database (600) of the server system (1000) stores risk scores for each of exporters #1 to #6, and risk scores for each of importers #1 to #6, and the risk scores can be increased through the risk score management step based on transactions of the exporters or importers.

For example, as shown in FIG. 8, the risk scores of exporter #1 and exporter #2 may be 0, the risk score of exporter #3 may be 1, the risk score of exporter #4 may be 5, the risk score of exporter #5 may be 10, and the risk score of exporter #6 may be 15; the risk scores of importer #1 and importer #2 may be 0, the risk score of importer #3 may be 1, the risk score of importer #4 may be 5, the risk score of importer #5 may be 10, and the risk score of importer #6 may be 15. If the risk score is 15 points or higher according to the first transaction suspension step included in the second abusing detection step, the server system (1000) can suspend the transaction of the exporter or importer, and the transactions of the exporter #6 and the importer #6 can be suspended.

In one embodiment of the present invention, the database (600) stores the risk scores of all exporters and all importers who have attempted or completed transactions through the market platform, and since the accumulated records of the risk scores of exporters or importers are stored in the database (600), a risk score graph indicating changes in the risk scores can be derived based on the accumulated risk scores.

Figure 9 schematically illustrates the execution process of the second abusing detection step according to a risk score graph according to one embodiment of the present invention.

In outline, Fig. 9 (a) illustrates the process of performing a step of stopping a transaction when the risk score is greater than or equal to the reference score, and Fig. 9 (b) illustrates the process of performing a step of stopping a transaction when the slope of the risk score graph is greater than or equal to the reference slope.

Specifically, the second abusing detection step may include a first transaction suspension step of suspending transactions of the exporter or importer in question when the risk score is higher than a preset reference score; and a second transaction suspension step of continuously updating a risk score graph according to the risk score, and suspending transactions of the exporter or importer in question when the slope of the risk score graph is higher than the preset reference slope.

In one embodiment of the present invention, a risk score graph representing changes in risk scores can be derived based on the risk scores stored in the database (600). Whenever the risk score of a corresponding exporter or importer increases, the risk score graph can be updated based on the risk score, and the risk score graph can be provided to the exporter's export terminal (2000) or the importer's import terminal (3000). Therefore, the exporter or importer can monitor their risk scores at a glance through the risk score graph and take precautions or take precautions to prevent their risk scores from reaching a threshold score that could result in a transaction suspension.

As illustrated in (a) of Figure 9, the X-axis of the risk score graph can represent time, and the Y-axis can represent the risk score. Therefore, changes in the risk score over time can be confirmed through the risk score graph. If the risk score in the risk score graph is higher than the preset reference score, the transaction of the exporter or importer can be suspended. The risk score graph can indicate changes in the risk score of the exporter or importer. Therefore, by checking the risk score graph, the trend of changes in the risk score can be identified, and it is easy to determine how much time is left until the risk score reaches the reference score.

In one embodiment of the present invention, the risk score graph can display changes in the risk score while simultaneously indicating the reference score as a dotted line. The risk score in Figure 9 (a) shows a trend of continuous and steady increase, and it can be confirmed that the risk score exceeds the reference score at point (1) indicated on the risk score graph. Therefore, transactions by the exporter or importer in question may be suspended at point (1).

As illustrated in (b) of Figure 9, if the risk score is below the reference score but the slope of the risk score graph is above the preset reference slope, the transaction of the relevant exporter or importer may be suspended. The risk score graph may indicate changes in the risk score of the relevant exporter or importer, and the slope of the risk score graph may be calculated based on the accumulated risk score of the relevant exporter or importer or the risk score graph derived for the relevant exporter or importer.

The graph in (b) of Fig. 9 confirms that the risk score increases sharply in the section (2) indicated on the risk score graph compared to other sections. The sharp increase in the risk score can be more accurately identified by calculating the slope of the risk score graph. The slope calculated from the risk score graph is compared with a preset reference slope. If the slope of the risk score graph is greater than the preset reference slope, the transaction of the relevant exporter or importer can be suspended. Therefore, assuming that the slope corresponding to the section (2) is greater than the reference slope, the transaction of the relevant exporter or importer after the section (2) can be suspended.

Figure 10 schematically illustrates the internal configuration of a database (600) according to one embodiment of the present invention.

As illustrated in FIG. 10, the database (600) included in the server system (1000) may include exporter information, importer information, product information, regulatory information, risk score, and risk score graph.

The above exporter information includes the exporter's nationality and exporter IP, and the exporter's nationality may include the nationality entered by the exporter when registering as a member of the market platform, or the nationality of the exporter determined based on country information extracted through the exporter IP corresponding to the IP address through which the exporter terminal (2000) accessed the market platform. The exporter IP may correspond to the IP address through which the exporter terminal (2000) accessed the market platform.

The above importer information includes the importer's nationality, importer IP, and delivery address information, and the importer's nationality may include the nationality entered by the importer when registering as a member of the market platform, or the nationality of the importer determined based on country information extracted through the importer IP corresponding to the IP address through which the importer terminal (3000) accessed the market platform. The importer IP may correspond to the IP address through which the importer terminal (3000) accessed the market platform, and the delivery address information may correspond to the address of the delivery address for the product entered from the importer terminal (3000).

The above product information can be received from the exporter terminal (2000) and includes an ECCN item identification number, product description, product image, and price information. The ECCN item identification number corresponds to the Export Control Classification Number, which is an abbreviation for ECCN, which refers to a numbering system for classifying items within the Commercial Control List (CCL), a list of dual-use export control restricted items under the Export Administration Regulations (EAR) of the United States. The ECCN item identification number can be used to confirm the item of the relevant product or to approve or sanction transactions for the relevant product.

The above product description includes text describing the product, and may include information about the product's components. The product image may include an actual image of the product, as well as an image containing the product's model information or serial number. The price information includes the product's price, and may correspond to the price set by the exporter for the product.

The above regulatory information includes a list of ECCN product identification numbers, a list of companies, and a matching list pre-stored in the database (600). The ECCN product identification number list corresponds to a list including ECCN product identification numbers whose exports are restricted, the company list corresponds to a list including the names of exporters or companies whose exports are restricted, and the matching list may correspond to a list matching companies and ECCN product identification numbers, meaning that the company will restrict the export or import of products corresponding to the ECCN product identification numbers.

The above risk score may be calculated or managed through the risk score management step, and includes an exporter risk score and an importer risk score. The exporter risk score may include all risk scores of each exporter, and the importer risk score may include all risk scores of each importer. The risk score may include a record of the final risk score to date and each accumulated risk score to date.

The above risk score graph may be derived or managed through the risk score management step, and includes a risk score graph derived based on the risk score and indicating changes in the risk score. The risk score graph may be derived for each exporter or importer, and preferably, the risk score graph may include an exporter risk score graph and an importer risk score graph. The exporter risk score graph may be derived based on the exporter risk score, and the importer risk score graph may be derived based on the importer risk score.

2. Method and system for providing a semiconductor processing equipment parts market platform that provides matching functions according to demand and processing level.

The description of FIGS. 1 to 10 above describes the configuration of the semiconductor process equipment parts market platform provision method and system for detecting and managing abuse by exporters and importers, and the execution steps performed by each configuration. Preferably, the configuration of the server system described above corresponds to a configuration including the export/import abuse detection module (1100) described below, and the configuration of the first matching module (1200), the second matching module (1300), and the customer management module (1400) included in the server system, and the execution steps performed by each configuration will be described in detail below. The database (700) described above in FIGS. 1 to 10 may include the database (700) described below in FIGS. 11 to 16.

Figure 11 schematically illustrates the internal configuration and connection configuration of a server system (1000) according to one embodiment of the present invention.

Schematically, FIG. 11 illustrates the internal configuration of a server system (1000) that performs the semiconductor process equipment parts market platform provision method and system, and the connection configuration between the server system (1000) and an exporter terminal (2000) and an importer terminal (3000).

Specifically, the semiconductor process equipment parts market platform providing method and system are performed in a server system (1000) including one or more processors and one or more memories, and as illustrated in FIG. 11, the server system (1000) communicates with an exporter terminal (2000) and an importer terminal (3000) and can perform the semiconductor process equipment parts market platform providing method and system.

The above server system (1000) includes an export/import abuse detection module (1100) that detects abuse of exporters and importers and performs an export/import abuse detection step that manages a risk score; a first matching module (1200) that performs a first matching step of matching an importer who wishes to purchase a product with an exporter who has the potential to sell the product based on past transaction history; a second matching module (1300) that performs a second matching step of matching an exporter who wishes to sell a product with an importer who has the potential to purchase the product based on past transaction history; and a customer management module (1400) that analyzes market supply and demand based on past transaction history.

In one embodiment of the present invention, the exporter terminal (2000) may include a terminal used by an exporter who wishes to perform a transaction such as exporting semiconductor process equipment parts through the semiconductor process equipment parts market platform provision method and system, and the importer terminal (3000) may include a terminal used by an importer who wishes to perform a transaction such as importing semiconductor process equipment parts through the semiconductor process equipment parts market platform provision method and system.

At this time, the connection configuration between the exporter terminal (2000) or the importer terminal (3000) and the server system (1000) may include a form of connecting to the server system (1000) through the exporter terminal (2000) or the importer terminal (3000) including a computer or portable terminal used by each of one or more exporters or importers.

In addition, the market platform of the present invention is a platform that can sell or purchase semiconductor process equipment parts related products and can provide a matching function according to demand and processing level, and connects transactions between exporters and importers by displaying semiconductor process equipment parts related products that exporters want to sell on the market platform so that importers can purchase the products they want to purchase, and in cases where the products that importers want to purchase are not uploaded to the market platform, it can include a platform that matches exporters who are likely to sell the products based on past transaction history, or matches importers who are likely to purchase the products that exporters want to sell based on past transaction history.

More specifically, each component included in the server system (1000) illustrated in FIG. 11 serves to control the operation of the server system (1000) that performs the semiconductor process equipment parts market platform provision method and system of the present invention.

The export/import abusing detection module (1100) of the above server system (1000) can detect abusing against exporters and importers and manage a risk score, and the export/import abusing detection step includes: a product information receiving step of receiving product information including an ECCN product identification number, a product description including text, a product image, and price information for a product to be sold from an exporter terminal (2000) of the corresponding exporter; a product transaction step of uploading a product related to the product information to a market platform and receiving a transaction request for one or more products from the importer terminal (3000) of the corresponding importer; a first abusing detection step of determining whether the transaction is a valid transaction by confirming the ECCN product identification number and a company related to the importer based on regulatory information pre-stored in a database; And a risk score management step of calculating a risk score for each of the exporter and the importer based on the exporter information for the corresponding exporter, the importer information for the corresponding importer, and the product information, and storing the risk score in a database;

In one embodiment of the present invention, the risk score management step includes an exporter risk score management step, and the exporter risk score management step includes: an ECCN product identification number consistency confirmation step of inputting the product information into a macro language model to confirm whether the ECCN product identification number of the product matches the ECCN product identification number received from the exporter terminal (2000), and if a mismatch of the ECCN product identification numbers occurs, increasing the risk score of the exporter; a product information change confirmation step of confirming whether the ECCN product identification number or product description included in the product information has been changed a preset number of times or more within a preset period, and if the ECCN product identification number or product description has been changed a preset number of times or more, increasing the risk score of the exporter; It may include an ECCN item identification number change confirmation step for checking whether the ECCN item identification number initially received from the exporter terminal (2000) matches the ECCN item identification number at the time of the product transaction, and increasing the risk score of the exporter in case of a mismatch in the ECCN item identification numbers; and a product image analysis step for extracting component information from the product image using a deep learning-based image analysis model to determine whether it matches the component information included in the product description, and increasing the risk score of the exporter in case of a mismatch in the component information.

The first matching module (1200) of the server system (1000) can match an importer who wishes to purchase a product with an exporter who has the potential to sell, based on past transaction history, and the first matching step includes: a market supply and demand information derivation step for deriving market supply and demand information including period-specific sales volume, period-specific purchase volume, and expected price through a customer management module (1400) that analyzes market supply and demand based on past transaction history when receiving parts information on a semiconductor process equipment component-related product that the importer wishes to purchase from the importer terminal (3000) of the importer; a seller matching list generation step for generating a seller matching list including a list of one or more exporters who match the product and the purchase desired price through the customer management module (1400) when providing the market supply and demand information to the importer terminal (3000) and receiving a desired purchase price for the product from the importer terminal (3000); And after providing the seller matching list to the importer terminal (3000), when an exporter who wishes to transact is selected from the importer terminal (3000), a purchase information provision step is provided to the exporter terminal (2000) of the exporter, which provides purchase information including a purchase request for the semiconductor process equipment parts, the parts information, and the desired purchase price.

The second matching module (1300) of the server system (1000) can match an exporter who wants to sell a product with an importer who has the potential to purchase the product based on past transaction history, and the second matching step includes: a demand forecasting information derivation step for deriving demand forecasting information including sales volume by period, purchase volume by period, and expected price based on past transaction history through the customer management module (1400) when receiving parts information on a product related to semiconductor process equipment parts to be sold from the exporter terminal (2000) of the exporter; a buyer matching list generation step for generating a buyer matching list including one or more importers who match the product and the selling price through the customer management module (1400) when providing the demand forecasting information to the exporter terminal (2000) and receiving the selling price for the product from the exporter terminal (2000); And it includes a purchase intent provision step of providing the buyer matching list to the exporter terminal (2000) and providing sales information to the importer terminal (3000) of one or more importers, and then transmitting the purchase intent to the exporter terminal (2000) when receiving a purchase intent from one or more importer terminals (3000).

The customer management module (1400) of the above server system (1000) can analyze market supply and demand based on past transaction history, and can store a risk score calculated for each exporter, and can create a seller matching list based on the risk score. The seller matching list can include a list of exporters whose risk score is lower than or equal to a preset sales score among one or more exporters that match the corresponding product and the corresponding desired purchase price.

In one embodiment of the present invention, the customer management module (1400) or the database of the server system (1000) stores all past transaction histories of exporters or importers, as well as risk scores calculated for each exporter. The past transaction histories correspond to transactions involving exports or imports conducted by the exporter or importer through the market platform, and may include product information on the products transacted, the date of the transaction, exporter and importer information regarding the exporters and importers involved in the transaction, and price information corresponding to the transaction price.

Accordingly, since the customer management module (1400) stores past transaction history for each exporter, importer, or company participating in export and import transactions, it is possible to analyze records of supply and demand for the relevant product through the customer management module (1400), analyze price change trends for the relevant product, calculate prices by period and average prices for all transactions, and analyze supply and demand for the relevant product to calculate the ratio of supply and demand.

Additionally, the customer management module (1400) can analyze market supply and demand based on past transaction history, as well as manage customers based on information about the market platform's customers, including exporters and importers. This customer information may include exporter information about exporters and importer information about importers, and may be stored in the database of the customer management module (1400) or the server system (1000).

Figure 12 schematically illustrates the internal configuration of a first matching module (1200) and a second matching module (1300) according to one embodiment of the present invention.

Schematically, (a) of FIG. 12 illustrates the internal configuration of the first matching module (1200), and (b) of FIG. 12 illustrates the internal configuration of the second matching module (1300).

Specifically, the first matching module (1200) that performs the first matching step can match an importer who wants to purchase a product with an exporter who has the potential to sell, based on past transaction history, and the second matching module (1300) that performs the second matching step can match an exporter who wants to sell a product with an importer who has the potential to purchase, based on past transaction history.

As illustrated in (a) of FIG. 12, the first matching module (1200) includes: a market supply and demand information derivation unit (1210) that, upon receiving parts information on a semiconductor process equipment component-related product that the importer wishes to purchase from the importer terminal (3000) of the importer, performs a market supply and demand information derivation step of deriving market supply and demand information including period-specific sales volume, period-specific purchase volume, and expected price through a customer management module (1400) that analyzes market supply and demand based on past transaction history; a seller matching list generation unit (1220) that, upon providing the market supply and demand information to the importer terminal (3000) and receiving a desired purchase price for the product from the importer terminal (3000), performs a seller matching list generation step of generating a seller matching list including a list of one or more exporters that match the product and the desired purchase price through the customer management module (1400); And, after providing the seller matching list to the importer terminal (3000), when an exporter who wishes to transact is selected from the importer terminal (3000), a purchase information provision unit (1230) is provided to perform a purchase information provision step of providing purchase information including a purchase request for the semiconductor process equipment parts, the parts information, and the desired purchase price to the exporter terminal (2000) of the exporter.

The market supply and demand information derivation unit (1210) included in the first matching module (1200) receives parts information on semiconductor process equipment parts to be purchased from the importer terminal (3000) of the importer, and can derive market supply and demand information including sales volume by period, purchase volume by period, and expected price through the customer management module (1400) that analyzes market supply and demand based on past transaction history.

In one embodiment of the present invention, the parts information is information about a semiconductor process equipment parts-related product that the importer wishes to purchase, and corresponds to information that can describe the product through text or an image. The parts information may include a product name and a product image for the product, and may include all information about the product, such as an ECCN product identification number, a product description, and product parts information.

Accordingly, if the semiconductor process equipment parts related product that the importer wishes to purchase is not uploaded to the market platform, when the importer inputs parts information for the product into the market platform, the server system (1000) can derive market supply and demand information based on the past transaction history, thereby matching the exporter who has the potential to sell the product with the importer.

At this time, the market supply and demand information may include sales volume by period, purchase volume by period, and expected price, and for example, the market supply and demand information may include information that the product is uploaded to the market platform about 15 times a year, sold about 10 times a year, sold on average within 3 months after being uploaded, and the average price is 500,000 won, and information that the number of exporters requesting matching with importers for the product is 10 times a year.

The seller matching list generation unit (1220) included in the first matching module (1200) can generate a seller matching list including a list of one or more exporters matching the product and the desired purchase price through the customer management module (1400) when the seller matching list provides the market supply and demand information to the importer terminal (3000) and then receives a desired purchase price for the product from the importer terminal (3000).

Accordingly, the importer who has received the market supply and demand information derived from the customer management module (1400) can determine a desired purchase price for the product by referring to the market supply and demand information and input the determined purchase price into the market platform. After receiving the desired purchase price, the server system (1000) can generate a seller matching list matching the importer. At this time, the seller matching list can include a list of one or more exporters who have the possibility of selling the product that the importer wishes to purchase and who have the possibility of selling the product at the desired purchase price entered by the importer.

In one embodiment of the present invention, the customer management module (1400) stores the risk score calculated for each exporter, and creates a seller matching list based on the risk score, and the seller matching list may include a list of exporters whose risk score is lower than or equal to a preset sales score among one or more exporters who match the corresponding product and the corresponding desired purchase price. Accordingly, the customer management module (1400) can create the seller matching list by excluding exporters whose risk score is higher than or equal to the preset sales score among one or more exporters who match the corresponding product and the corresponding desired purchase price, so that the importer who receives the seller matching list can check the list of exporters excluding exporters with high risk scores, thereby reducing the risk of transactions for the corresponding product.

The purchase information provision unit (1230) included in the first matching module (1200) provides the seller matching list to the importer terminal (3000), and when an exporter who wishes to transact is selected from the importer terminal (3000), the purchase information including a purchase request for the semiconductor process equipment parts, the parts information, and the desired purchase price can be provided to the exporter terminal (2000) of the exporter.

In one embodiment of the present invention, the relevant importer may select an exporter with whom they wish to conduct a transaction from among one or more exporters included in the seller matching list, and the server system (1000) may provide the purchase information to the exporter terminal (2000) of the relevant exporter. In this case, the purchase request included in the purchase information may include a notification that the relevant importer wishes to purchase the relevant product.

If the risk score of the importer is higher than the preset sales score, even if the importer enters the parts information and requests matching from the server system (1000) when there is a product he or she wishes to purchase, the seller matching list may not be provided as described above. Therefore, the server system (1000) can only match importers and exporters if the respective risk scores of the importer and exporter meet the criteria for conducting a transaction.

As illustrated in (b) of FIG. 12, the second matching module (1300) includes: a demand forecasting information derivation unit (1310) that, upon receiving parts information on a semiconductor process equipment component-related product to be sold from the exporter terminal (2000) of the exporter, performs a demand forecasting information derivation step of deriving demand forecasting information including sales volume by period, purchase volume by period, and expected price based on past transaction history through the customer management module (1400); a buyer matching list generation unit (1320) that, upon providing the demand forecasting information to the exporter terminal (2000) and receiving the selling price for the product from the exporter terminal (2000), performs a buyer matching list generation step of generating a buyer matching list including one or more importers matching the product and the selling price through the customer management module (1400); And it includes a purchase intention provision unit (1330) that provides the buyer matching list to the exporter terminal (2000) and provides sales information to the importer terminal (3000) of one or more importers, and then performs a purchase intention provision step of transmitting the purchase intention to the exporter terminal (2000) when a purchase intention is received from one or more importer terminals (3000).

The demand forecast information derivation unit (1310) included in the second matching module (1300) receives parts information on semiconductor process equipment parts to be sold from the exporter terminal (2000) of the exporter in question, and can derive demand forecast information including sales volume by period, purchase volume by period, and expected price based on past transaction history through the customer management module (1400).

In one embodiment of the present invention, the parts information is information about a semiconductor process equipment parts-related product that the exporter intends to sell, and corresponds to information that can describe the product through text or an image, and the parts information may include all information about the product, such as an ECCN product identification number for the product, a product description including text, a product image, and product information including price information.

If the exporter in question wants to find an importer for a semiconductor process equipment component product that he or she wants to sell more quickly, the exporter in question inputs parts information for the product in question into the market platform, and the server system (1000) derives demand forecast information based on the past transaction history, thereby matching the importer in question who is likely to purchase the product in question with the exporter in question.

Accordingly, the exporter who wishes to sell a product related to semiconductor process equipment components can transmit product information to the server system (1000) to have the product uploaded to the market platform, or can transmit product information to the server system (1000) to have the product matched with an importer who is likely to purchase the product.

At this time, the demand forecast information may include sales volume by period, purchase volume by period, and expected price, and for example, the demand forecast information may include information that the product in question is uploaded 5 times a year on the market platform, all 5 times a year are sold, all times are sold on average within 1 month after being uploaded, and the average price is 100,000 won, and the number of importers requesting matching with exporters for the product in question is 5 times a year.

The buyer matching list generation unit (1320) included in the second matching module (1300) can generate a buyer matching list including one or more importers matching the product and the selling price through the customer management module (1400) when the demand forecast information is provided to the exporter terminal (2000) and the selling price for the product is received from the exporter terminal (2000).

Accordingly, the exporter who has received the demand forecast information derived from the customer management module (1400) can determine the selling price for the product by referring to the demand forecast information and input it into the market platform. After receiving the selling price, the server system (1000) can generate a buyer matching list matching the exporter. At this time, the buyer matching list can include a list of one or more importers who are likely to purchase the product that the exporter wishes to sell and are likely to purchase the product at the selling price input by the exporter.

In one embodiment of the present invention, the customer management module (1400) stores the risk score calculated for each importer and can create a buyer matching list based on the risk score, and the buyer matching list can include a list of importers whose risk score is lower than or equal to a preset sales score among one or more importers who match the corresponding product and the corresponding sales price. Accordingly, the customer management module (1400) can create the buyer matching list by excluding importers whose risk score is higher than or equal to the preset sales score among one or more importers who match the corresponding product and the corresponding sales price, so that the exporter who receives the buyer matching list can check the list of importers excluding importers with high risk scores, thereby reducing the risk of transactions for the corresponding product.

The purchase intent provision unit (1330) included in the second matching module (1300) provides the purchaser matching list to the exporter terminal (2000) and provides sales information to the importer terminal (3000) of one or more importers. Then, when a purchase intent is received from one or more importer terminals (3000), the purchase intent can be transmitted to the exporter terminal (2000).

In one embodiment of the present invention, the buyer matching list may be provided to the exporter terminal (2000) of the corresponding exporter, and at this time, sales information may be provided to each of the importer terminals (3000) of one or more importers included in the buyer matching list. The sales information may include a sales request, the parts information, and the sales price, and the sales request may include a notification that the corresponding exporter wishes to sell the corresponding product.

If the risk score of the exporter is higher than the preset sales score, even if the exporter enters the parts information and requests matching from the server system (1000) when there is a product to sell, a buyer matching list may not be provided as described above. Therefore, the server system (1000) can only perform matching between exporters and importers if the risk scores of each exporter and importer meet the criteria for conducting a transaction.

Figure 13 schematically illustrates the execution steps of the first matching step according to one embodiment of the present invention.

In brief, the first matching step is a market supply and demand information derivation step in which, upon receiving parts information on semiconductor process equipment parts related products to be purchased from the importer terminal (3000) of the importer, market supply and demand information including sales volume by period, purchase volume by period, and expected price are derived through a customer management module (1400) that analyzes market supply and demand based on past transaction history; a seller matching list generation step in which, upon providing the market supply and demand information to the importer terminal (3000) and receiving a desired purchase price for the product from the importer terminal (3000), a seller matching list is generated through the customer management module (1400) including a list of one or more exporters that match the product and the desired purchase price; And after providing the seller matching list to the importer terminal (3000), when an exporter who wishes to transact is selected from the importer terminal (3000), a purchase information provision step is provided to the exporter terminal (2000) of the exporter, which provides purchase information including a purchase request for the semiconductor process equipment parts, the parts information, and the desired purchase price.

As illustrated in Figure 13, the importer can request matching from the exporter by transmitting (S100) parts information for a semiconductor process equipment component product that the importer wishes to purchase to the first matching module (1200) through the importer terminal (3000) of the importer.

The first matching module (1200) that has received the above parts information can request market supply and demand information (S101) while transmitting the above parts information to the customer management module (1400). The customer management module (1400) can derive market supply and demand information including sales volume by period, purchase volume by period, and expected price based on the above parts information and past transaction history (S102), and can transmit the corresponding market supply and demand information back to the first matching module (1200) (S103). The first matching module (1200) that has received the market supply and demand information transmits the corresponding market supply and demand information to the importer terminal (3000) (S104), and the corresponding importer can determine a desired purchase price by referring to the corresponding market supply and demand information and then input the desired purchase price (S105), thereby transmitting the desired purchase price to the first matching module (1200).

The first matching module (1200) that receives the above desired purchase price may request a seller matching list (S106) while transmitting the above desired purchase price to the customer management module (1400). The customer management module (1400) may generate a seller matching list (S107) including a list of one or more exporters who match the desired purchase price among exporters who have the possibility of selling the relevant product based on the above desired purchase price, and transmit the seller matching list to the first matching module (1200) (S108). At this time, the seller matching list may include a list of exporters whose risk score is lower than or equal to a preset sales score among one or more exporters who match the relevant product and the relevant desired purchase price.

The first matching module (1200) that receives the seller matching list transmits the seller matching list to the importer terminal (3000) (S109), and the importer can select an exporter corresponding to a seller with whom the importer wishes to conduct a transaction among one or more exporters included in the seller matching list and transmit the selection of the exporter to the first matching module (1200) (S110). The first matching module (1200) that receives the selection of the exporter from the importer terminal (3000) can transmit purchase information including a purchase request for the product, the parts information, and the desired purchase price for the exporter selected by the importer to the exporter terminal (2000) (S111).

In one embodiment of the present invention, the exporter who has received the purchase information may, upon confirming the purchase information, transmit a sales intent for the product to the server system (1000) or the first matching module (1200) if he or she wishes to conduct a transaction with the importer. If the exporter accepts the transaction, the server system (1000) or the market platform matches the importer and exporter, allowing the transaction to proceed. In this case, communication between the importer terminal (3000) and the exporter terminal (2000) and the first matching module (1200) may be conducted via the market platform.

Figure 14 schematically illustrates the execution process of the seller matching list creation step according to one embodiment of the present invention.

Specifically, the seller matching list creation step provides the market supply and demand information to the importer terminal (3000) and then, upon receiving a desired purchase price for the relevant product from the importer terminal (3000), a seller matching list including a list of one or more exporters matching the relevant product and the desired purchase price can be created through the customer management module (1400).

In addition, the seller matching list creation step may create the seller matching list based on the exporter's risk score calculated in the export/import abuse detection step, and the seller matching list may include a list of exporters whose risk score is lower than or equal to a preset sales score among one or more exporters that match the product and the desired purchase price.

In one embodiment of the present invention, a seller matching graph can be derived based on the risk scores of each exporter stored in the database, allowing for a quick overview of the risk scores for each of the one or more exporters. The seller matching graph may be a graph that displays the risk scores by sorting the one or more exporters included in the seller matching list in descending order of risk scores.

The above seller matching graph can be provided together with the seller matching list provided to the importer terminal (3000), and thus, the importer can check the risk score of each exporter included in the seller matching list at a glance through the seller matching graph, and select the exporter with whom he or she will transact based on the risk score of each exporter.

As illustrated in Figure 14, the X-axis of the seller matching graph may represent each exporter, and the Y-axis may represent the current risk score of the exporter. Accordingly, the seller matching graph may be used to check the current risk score for each of one or more exporters included in the seller matching list. Each point displayed on the seller matching graph may correspond to the risk score of each importer, and the seller matching graph may be displayed in order from the lowest risk score to the highest risk score.

In one embodiment of the present invention, each importer or importer information may be displayed on the X-axis of the seller matching graph so that the importer can select an exporter with whom to conduct a transaction through the seller matching graph.

Additionally, the above seller matching graph can display each exporter's risk score while simultaneously displaying the sales score and reference score as dotted lines. Figure 14 displays the risk scores of each of the 15 exporters, listed in descending order of risk score from exporter #1 to exporter #15.

Preferably, since matching can be performed only when the risk score is lower than or equal to the sales score, exporters whose risk score is higher than or equal to the sales score may not be displayed in the seller matching graph displayed by the importer terminal (3000), and since transactions are suspended for exporters whose risk score is higher than or equal to the standard score, exporters whose risk score is higher than or equal to the standard score may not be displayed in the seller matching graph displayed by the importer terminal (3000).

Up to point (1) indicated in the above seller matching graph, the exporter corresponds to an exporter with a risk score lower than the sales score. Therefore, up to point (1) can be displayed in the seller matching graph displayed by the importer terminal (3000). Furthermore, it can be confirmed that the risk score exceeds the reference score at point (2) indicated in the above seller matching graph. Therefore, the exporter's transactions may be suspended at point (2).

Figure 15 schematically illustrates the execution steps of the second matching step according to one embodiment of the present invention.

In brief, the second matching step is a demand forecasting information derivation step in which, upon receiving parts information on a semiconductor process equipment component-related product to be sold from the exporter terminal (2000) of the exporter, demand forecasting information including sales volume by period, purchase volume by period, and expected price are derived based on past transaction history through the customer management module (1400); a buyer matching list generation step in which, upon providing the demand forecasting information to the exporter terminal (2000) and receiving the sales price for the product from the exporter terminal (2000), a buyer matching list is generated through the customer management module (1400) including one or more importers matching the product and the sales price; And it may include a purchase intent provision step of providing the buyer matching list to the exporter terminal (2000) and providing sales information to the importer terminal (3000) of one or more importers, and then transmitting the purchase intent to the exporter terminal (2000) when receiving a purchase intent from one or more importer terminals (3000).

As illustrated in Figure 15, the exporter can request matching from the importer by sending (S200) parts information for semiconductor process equipment parts related products to be sold to the first matching module (1200) through the exporter terminal (2000) of the exporter.

The first matching module (1200) that has received the above parts information can request demand forecast information (S201) while transmitting the above parts information to the customer management module (1400). The customer management module (1400) can derive demand forecast information including sales volume by period, purchase volume by period, and expected price based on the above parts information and past transaction history (S202), and can transmit the demand forecast information back to the first matching module (1200) (S203). The first matching module (1200) that has received the demand forecast information transmits the demand forecast information to the exporter terminal (2000) (S204), and the exporter determines the selling price by referring to the demand forecast information and inputs the selling price (S205), thereby transmitting the selling price to the first matching module (1200).

The first matching module (1200) that receives the above selling price may request a buyer matching list (S206) while transmitting the above selling price to the customer management module (1400). The customer management module (1400) may generate a buyer matching list (S207) including a list of one or more importers who are likely to purchase the product based on the selling price and who match the selling price, and transmit the buyer matching list to the first matching module (1200) (S208). In one embodiment of the present invention, the buyer matching list may include a list of one or more importers who match the product and the selling price and whose risk score is lower than or equal to a preset selling score.

The first matching module (1200) that receives the buyer matching list can transmit the buyer matching list to the exporter terminal (2000) (S209) and transmit sales information including a sales request, the parts information, and the sales price to each of the importer terminals (3000) of one or more importers included in the buyer matching list (S210). At this time, an importer among the one or more importers that wishes to purchase the product can transmit an intent to purchase the product by expressing an intent to purchase (S211) to the second matching module (1300) or the server system (1000) through the importer terminal (3000) of the importer. The first matching module (1200) that receives a purchase intent from the importer terminal (3000) can transmit the purchase intent of the importer, who is the purchaser of the product, to the exporter terminal (2000) of the exporter (S212).

In one embodiment of the present invention, the exporter who received the purchase intent may transmit to the server system (1000) or the second matching module (1300) whether or not to sell the product to the importer. If the exporter accepts the transaction, the server system (1000) or the market platform matches the exporter and importer, allowing the transaction to proceed. In this case, communication between the exporter terminal (2000), the importer terminal (3000), and the second matching module (1300) may be conducted via the market platform.

Figure 16 illustrates an internal configuration of a computing device (11000) according to one embodiment of the present invention.

The server system (1000) mentioned in the description of FIG. 1 may include components of the computing device (11000) illustrated in FIG. 16 described below.

As illustrated in FIG. 16, the computing device (11000) may include at least one processor (11100), memory (11200), peripheral interface (11300), input/output subsystem (I/O subsystem) (11400), power circuit (11500), and communication circuit (11600).

Specifically, the memory (11200) may include, for example, a high-speed random access memory, a magnetic disk, SRAM, DRAM, ROM, flash memory, or non-volatile memory. The memory (11200) may include a software module, a set of instructions, or other various data required for the operation of the computing device (11000).

At this time, access to the memory (11200) from other components such as the processor (11100) or the peripheral interface (11300) may be controlled by the processor (11100). The processor (11100) may be configured as a single or multiple processors, and may include processors in the form of GPUs and TPUs to improve the processing speed.

The peripheral interface (11300) may connect input and/or output peripherals of the computing device (11000) to the processor (11100) and the memory (11200). The processor (11100) may execute software modules or instruction sets stored in the memory (11200) to perform various functions for the computing device (11000) and process data.

The input/output subsystem (11400) can couple various input/output peripheral devices to the peripheral interface (11300). For example, the input/output subsystem (11400) can include a controller for coupling peripheral devices such as a monitor, a keyboard, a mouse, a printer, or, if necessary, a touch screen or a sensor to the peripheral interface (11300). In another aspect, the input/output peripheral devices can be coupled to the peripheral interface (11300) without going through the input/output subsystem (11400).

The power circuit (11500) may supply power to all or part of the components of the terminal. For example, the power circuit (11500) may include a power management system, one or more power sources such as a battery or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, or any other components for power generation, management, and distribution.

The above communication circuit (11600) may enable communication with another computing device using at least one external port. Alternatively, as described above, the communication circuit (11600) may, if necessary, include an RF circuit to transmit and receive RF signals, also known as electromagnetic signals, thereby enabling communication with another computing device.

This embodiment of FIG. 16 is only an example of the computing device (11000), and the computing device (11000) may have some of the components illustrated in FIG. 16 omitted, may further include additional components not illustrated in FIG. 16, or may have a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor, in addition to the components illustrated in FIG. 16, and the communication circuit (1160) may include a circuit for RF communication of various communication methods (Wi-Fi, 3G, LTE, 5G, 6G, Bluetooth, NFC, Zigbee, etc.). Components that can be included in the computing device (11000) may be implemented as hardware including one or more signal processing or application-specific integrated circuits, software, or a combination of both hardware and software.

Methods according to embodiments of the present invention may be implemented in the form of program instructions that can be executed by various computing devices and recorded on a computer-readable medium. In particular, the program according to the present embodiment may be configured as a PC-based program or an application exclusively for mobile terminals. An application to which the present invention is applied may be installed on a user terminal through a file provided by a file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file at the request of the user terminal.

The devices described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices and components described in the embodiments may be implemented using one or more general-purpose computers or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing instructions and responding to them. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. Furthermore, the processing device may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing device is sometimes described as being used alone; however, one of ordinary skill in the art will recognize that the processing device may include multiple processing elements and/or multiple types of processing elements. For example, a processing unit may include multiple processors, or a processor and a controller. Other processing configurations, such as parallel processors, are also possible.

The software may include a computer program, code, instructions, or a combination of one or more of these, and may configure a processing device to perform a desired operation or, independently or collectively, command the processing device. The software and/or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave for interpretation by the processing device or for providing instructions or data to the processing device. The software may be standardized and stored or executed in a standardized manner on a network-connected computing device. The software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program commands that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program commands, data files, data structures, etc., alone or in combination. The program commands recorded on the medium may be those specially designed and configured for the embodiment or may be those known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program commands, such as ROMs, RAMs, and flash memories. Examples of the program commands include not only machine language codes generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiment, and vice versa.

According to one embodiment of the present invention, it is possible to detect abuse of exporters and importers based on exporter information, product information, and importer information.

According to one embodiment of the present invention, by calculating risk scores for exporters and importers, it is possible to achieve the effect of suspending transactions when the risk score is higher than a reference score.

According to one embodiment of the present invention, it is possible to achieve the effect of suspending transactions for exporters and importers based on a risk score graph related to a risk score.

According to one embodiment of the present invention, it is possible to achieve the effect of extracting component information from a product image through an image analysis model.

According to one embodiment of the present invention, the image analysis model can be used to analyze product images and thereby provide an effect of adding a risk score to the exporter.

According to one embodiment of the present invention, it is possible to verify the ECCN item identification number of an exported product and the exporting company based on regulatory information.

According to one embodiment of the present invention, an exporter can upload a product to be sold to a market platform, thereby enabling an importer to purchase the product.

According to one embodiment of the present invention, it is possible to receive exporter information and product information from an exporter terminal through a market platform, and to receive a transaction request and importer information from an importer terminal.

According to one embodiment of the present invention, it is possible to achieve the effect of verifying the ECCN item identification number for a product through a large language model.

According to one embodiment of the present invention, the effect of matching related exporters can be achieved by providing the importer with a seller matching list of exporters related to the products and purchase prices that the importer wishes to purchase.

According to one embodiment of the present invention, the exporter can provide the exporter with a buyer matching list of importers related to the products and selling prices the exporter wishes to sell, thereby enabling matching with related importers.

According to one embodiment of the present invention, the safety of transactions can be enhanced by generating a seller matching list based on the exporter's risk score.

According to one embodiment of the present invention, it is possible to achieve the effect of being able to predict purchases for a given product by deriving market supply and demand information based on past transaction history.

According to one embodiment of the present invention, it is possible to achieve the effect of being able to predict sales for a product by deriving demand forecast information based on past transaction history.

Although the embodiments have been described with limited examples and drawings, those skilled in the art will appreciate that various modifications and variations can be made based on the above teachings. For example, appropriate results can be achieved even if the described techniques are performed in a different order than described, and/or components of the described systems, structures, devices, circuits, etc. are combined or combined in a different manner than described, or are replaced or substituted with other components or equivalents. Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the claims described below.

Claims (6)

As a method for providing a semiconductor process equipment parts market platform that provides matching functions according to demand and processing level,
The first matching step is to match importers who wish to purchase goods with exporters who have the potential to sell them, based on past transaction history;
and export/import abuse detection stage;
The above first matching step is,
When receiving parts information on semiconductor process equipment parts to be purchased from the importer terminal of the relevant importer, a market supply and demand information derivation step is performed to derive market supply and demand information including sales volume by period, purchase volume by period, and expected price through a customer management module that analyzes market supply and demand based on past transaction history;
A seller matching list generation step for generating a seller matching list including a list of one or more exporters matching the product and the purchase price through the customer management module after providing the market supply and demand information to the importer terminal and receiving a desired purchase price for the product from the importer terminal; and
After providing the seller matching list to the importer terminal, when an exporter who wishes to transact is selected from the importer terminal, a purchase information provision step is provided to the exporter terminal of the exporter, including a purchase request for the semiconductor process equipment parts, the parts information, and the purchase desired price;
The above export/import abuse detection step is:
A product information receiving step for receiving product information including the ECCN product identification number, product description including text, product image, and price information for the product to be sold from the exporter terminal of the exporter; and
A risk score management step for calculating a risk score for each of the exporter and the importer based on the exporter information for the exporter, the importer information for the importer, and the product information, and storing the risk score in a database;
The above risk score management step includes the exporter risk score management step,
The above exporter risk score management steps are:
An ECCN product identification number matching confirmation step that inputs the above product information into a macro language model to check whether the ECCN product identification number of the product matches the ECCN product identification number received from the exporter terminal, and increases the risk score of the exporter in case of a mismatch in the ECCN product identification numbers;
A product information change confirmation step that checks whether the ECCN product identification number or product description included in the above product information has changed more than a preset number of times within a preset period, and increases the risk score of the exporter in case the ECCN product identification number or product description has changed more than a preset number of times;
An ECCN item identification number change confirmation step that checks whether the ECCN item identification number initially received from the exporter terminal matches the ECCN item identification number at the time of the product transaction, and increases the risk score of the exporter in case of a mismatch in the ECCN item identification numbers; and
A method for providing a semiconductor process equipment parts market platform, comprising a product image analysis step of extracting component information from the product image using a deep learning-based image analysis model, determining whether the component information matches the component information included in the product description, and increasing the risk score of the exporter in case of a component information mismatch. In claim 1,
The above customer management module is,
The risk score calculated for each exporter is stored, and a seller matching list is created based on the risk score.
The above seller matching list is:
A method for providing a semiconductor process equipment parts market platform, comprising a list of exporters whose risk score is lower than a preset sales score among one or more exporters matching the product and the desired purchase price.
In claim 1,
The method of providing the above semiconductor process equipment parts market platform is as follows:
It further includes a second matching step that matches exporters who wish to sell goods with importers who are likely to purchase goods based on past transaction history.
The above second matching step is,
Upon receiving parts information on semiconductor process equipment parts to be sold from the exporter terminal of the exporter in question, a demand forecast information derivation step is performed to derive demand forecast information including sales volume by period, purchase volume by period, and expected price based on past transaction history through the customer management module;
After providing the above demand forecast information to the exporter terminal and receiving the sales price for the relevant product from the exporter terminal, a buyer matching list creation step for creating a buyer matching list including one or more importers matching the relevant product and the relevant sales price through the customer management module; and
A method for providing a semiconductor process equipment parts market platform, comprising a purchase intent provision step of providing the buyer matching list to the exporter terminal, providing sales information to the importer terminals of one or more importers, and then transmitting the purchase intent to the exporter terminal when a purchase intent is received from one or more importer terminals.
In claim 1,
The above semiconductor process equipment parts market platform provision method further includes an export/import abuse detection step,
The above export/import abuse detection step is:
A product transaction step of uploading a product related to the above product information to a market platform and receiving a transaction request for one or more products from the importer terminal of the relevant importer; and
A method for providing a semiconductor process equipment parts market platform, further comprising a first abusing detection step for determining whether the transaction is a valid transaction by verifying the ECCN product identification number and the company related to the importer based on regulatory information stored in a database. delete As a semiconductor process equipment parts market platform system that provides matching functions according to demand and processing level,
A first matching module that matches importers who wish to purchase goods with exporters who have the potential to sell goods based on past transaction history; and
Includes an export/import abuse detection module;
The above first matching module,
When receiving parts information on semiconductor process equipment parts to be purchased from the importer terminal of the relevant importer, a market supply and demand information derivation unit that derives market supply and demand information including period-specific sales volume, period-specific purchase volume, and expected price through a customer management module that analyzes market supply and demand based on past transaction history;
After providing the above market supply and demand information to the importer terminal and receiving the desired purchase price for the relevant product from the importer terminal, a seller matching list generation unit that generates a seller matching list including a list of one or more exporters matching the relevant product and the desired purchase price through the customer management module; and
After providing the seller matching list to the importer terminal, when an exporter who wishes to transact is selected from the importer terminal, a purchase information provision unit is provided to provide purchase information including a purchase request for the semiconductor process equipment parts, the parts information, and the desired purchase price to the exporter terminal of the exporter;
The above export/import abuse detection module is,
A product information receiving unit that receives product information including the ECCN product identification number, product description including text, product image, and price information for the product to be sold from the exporter terminal of the exporter; and
A risk score management unit that calculates a risk score for each exporter and each importer based on the exporter information for the corresponding exporter, the importer information for the corresponding importer, and the product information, and stores the risk score in a database;
The above risk score management department performs the exporter risk score management stage,
The above exporter risk score management steps are:
An ECCN product identification number matching confirmation step that inputs the above product information into a macro language model to check whether the ECCN product identification number of the product matches the ECCN product identification number received from the exporter terminal, and increases the risk score of the exporter in case of a mismatch in the ECCN product identification numbers;
A product information change confirmation step that checks whether the ECCN product identification number or product description included in the above product information has changed more than a preset number of times within a preset period, and increases the risk score of the exporter in case the ECCN product identification number or product description has changed more than a preset number of times;
An ECCN item identification number change confirmation step that checks whether the ECCN item identification number initially received from the exporter terminal matches the ECCN item identification number at the time of the product transaction, and increases the risk score of the exporter in case of a mismatch in the ECCN item identification numbers; and
A semiconductor process equipment parts market platform provision system, comprising a product image analysis step for extracting component information from the product image using a deep learning-based image analysis model, determining whether the component information matches the component information included in the product description, and increasing the risk score of the exporter in case of a component information mismatch.