KR20230056420A - System and Method for Providing Electronic Contract Service Mediation based on AI - Google Patents

Abstract

The present invention relates to an artificial intelligence-based electronic contract service intermediation system, which provides an electronic contract service intermediation platform to facilitate cooperation and partnership agreements between B2B (business to business) companies, and a method thereof. The artificial intelligence-based electronic contract service intermediation system comprises: a business information management unit which collects corporate information based on open APIs and builds a corporate database; a user interface unit which provides a screen interface for mediating one-to-one electronic contracts or public tenders based on the type of electronic contract service requested from a demand enterprise terminal; and an electronic contract intermediation unit which mediates electronic contracts between the demand enterprise terminal and the enterprise terminal corresponding to the electronic contract service request, based on input information of the demand enterprise terminal received through the user interface unit. The artificial intelligence-based electronic contract service intermediation system and method can discover online and offline business partners among businesses operating through the AI-based electronic contract service intermediation system and reduce the time, cost, and effort involved in making electronic contracts between parties.

Description

System and Method for Providing Electronic Contract Service Mediation based on AI}

The present invention relates to an artificial intelligence-based electronic contract service brokerage system and method, and provides an electronic contract service brokerage platform to perform B2B (business to business) business-to-business cooperation and partnership conclusion. It relates to mediation systems and methods.

In general, with the advent of the online era, it can be seen that distribution and transaction relationships in the form of non-face-to-face transactions are diversifying and the shape of the market is changing.

As a result, it is inconvenient for companies to find and visit business partners online/offline to discover new business partners for R&D (research and development) work and new business expansion. In other words, businesses (enterprises) that run business are experiencing difficulties in terms of time and cost because there is no space and brokerage office that gathers and provides information from various businesses at once.

In addition, the contract process for cooperation and partnership between companies also requires a complex and difficult decision-making process from face-to-face visits to contract signing, so it is not easy to conclude a contract, and the cost and time consumed until the contract is concluded is a big deal for the business. It can also be a risk factor that can cause difficulties.

KR 10-2016-0051930 A KR 10-2021-0083544 A KR 10-2018-0062009 A

The present invention is derived from such a technical background, and an artificial intelligence-based electronic contract service that can reduce the time, cost, and effort of finding on/offline customers between businesses (companies) that conduct business and reaching contracts between the parties. Its purpose is to provide an intermediary system and method.

In addition, an artificial intelligence-based electronic contract service brokerage system and method that can increase satisfaction and efficiency when entering into a partnership between companies by recommending a company that is predicted to have a high matching probability by reflecting existing customer information or evaluation criteria for the customer. want to provide

The present invention for achieving the above object includes the following configuration.

That is, the artificial intelligence-based electronic contract service brokerage system according to an embodiment of the present invention collects business information based on an open API to build a business database, a business information management unit, and the type of electronic contract service requested from a consumer terminal. Based on the user interface unit that provides a screen interface for mediating one-to-one electronic contracts or open bidding, and the user interface unit receives input information from the consuming company terminal, the consuming company terminal responds to the electronic contract service request. and an electronic contract brokerage unit for brokering electronic contracts of enterprise terminals.

On the other hand, the artificial intelligence-based electronic contract service brokerage method is a DB construction stage in which corporate information is collected based on open API and built into a corporate database, and one-to-one electronic contracts or disclosures are made based on the type of electronic contract service requested from the consumer terminal. providing a screen interface for mediating a bidding; and an electronic contract mediation step of mediating an electronic contract between the consumer enterprise terminal and the enterprise terminal corresponding to the electronic contract service request based on the input information of the consumer enterprise terminal. .

According to the present invention, it is possible to provide an artificial intelligence-based electronic contract service brokerage system and method that can reduce the time, cost, and effort of discovering on/offline customers between businesses (enterprises) that conduct business and reaching contracts between the parties. The effect that there is is derived.

In addition, an artificial intelligence-based electronic contract service brokerage system and method that can increase satisfaction and efficiency when signing a partnership between companies by recommending a company that is predicted to have a high matching probability by reflecting existing customer information or evaluation criteria for the customer The effect of providing is derived.

1 is a block diagram showing the configuration of an artificial intelligence-based electronic contract service brokerage system according to an embodiment of the present invention.
2 is a flowchart illustrating an artificial intelligence-based electronic contract service mediation method according to an embodiment of the present invention.
3A to 3F are diagrams illustrating screen interfaces provided when the type of electronic contract service requested from the consumer enterprise terminal is a one-to-one electronic contract according to an embodiment of the present invention.
4a to 4f are diagrams illustrating a screen interface provided when the type of electronic contract service requested from the consumer company terminal is open bidding according to an embodiment of the present invention.

It should be noted that technical terms used in the present invention are only used to describe specific embodiments and are not intended to limit the present invention. In addition, technical terms used in the present invention should be interpreted in terms commonly understood by those of ordinary skill in the art to which the present invention belongs, unless specifically defined otherwise in the present invention, and are excessively inclusive. It should not be interpreted in a positive sense or in an excessively reduced sense.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing the configuration of an artificial intelligence-based electronic contract service brokerage system 10 according to an embodiment of the present invention.

The artificial intelligence-based electronic contract service brokerage system 10 according to an embodiment organizes information of companies (businesses) into classifications and detailed classifications of business types / industries, and AI that can search and connect information of various companies in a platform. It includes an electronic contract service brokerage platform.

The AI electronic contract service brokerage platform provided by the electronic contract service brokerage system 10 according to an embodiment is an online platform formed based on WEB and APP, which collects business information based on an open API, or AI electronic contract service brokerage platform. The company's DB is created with the business information entered when signing up as a member on the contract service brokerage platform.

And through the AI electronic contract service mediation platform, it provides business entity (business partner) information that can be the target of the customer.

At this time, a DB can be created by inputting company information such as manufacturing complexes, distribution companies, and vendor companies into the AI electronic contract service mediation platform, such as business type, sales, and company composition. For example, when enterprise B searches for DB information registered by company A on an AI electronic contract service brokerage platform for the purpose of discovering a customer, the electronic contract service brokerage system 10 according to an embodiment provides A through an AI search service. A function to quickly provide and deliver the information that companies are looking for, a function to provide data that meets search conditions and similar data from collected data by AI recognizing keyword search / banner click search, AI search map service function, user search The non-face-to-face 1:1 inquiry function can be supported for the companies corresponding to the results.

In one embodiment, the electronic contract service brokerage system 10 runs an application capable of providing input and output of various information targeting companies and demand companies in the form of a portal in the member company terminal 30 and the consumer company terminal 30. , AI electronic contract service mediation platform that performs overall processes necessary for application operation.

At this time, the AI electronic contract service brokerage platform is a set of software commonly used for development, execution, and device operation for electronic contract service brokerage, and consists of an operating system, middleware, and basic application development support tools. In one embodiment, the AI electronic contract service mediation platform composed of software can provide a basis for developing various application programs and convergence with other industries.

As shown in FIG. 1, the electronic contract service brokerage system 10 according to an embodiment includes a communication unit 110, a company information management unit 120, a user interface unit 130, an electronic contract brokerage unit 140, and a company search unit 145. ), an information providing unit 150, a contract request notification unit 160, a relationship analysis unit 170, a machine learning unit 180, a recommendation unit 190, and a company database 125.

The communication unit 110 communicates with any internal component or at least one external terminal through a wired/wireless communication network. In this case, the external arbitrary terminal may include a server (not shown), a terminal (not shown), a (member) company terminal 20, a consumer company terminal 30, and the like. Here, wireless Internet technologies include Wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wireless Broadband (Wibro), WiMAX (World Interoperability for Microwave Access: Wimax), HSDPA (High Speed Downlink Packet Access) ), High Speed Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), Wireless Mobile Broadband Service (WMBS), etc. , and the communication unit 110 transmits and receives data according to at least one wireless Internet technology within a range including Internet technologies not listed above. In addition, short-range communication technologies include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Near Field Communication (NFC). , Ultra Sound Communication (USC), Visible Light Communication (VLC), Wi-Fi, Wi-Fi Direct, and the like may be included. In addition, wired communication technologies may include power line communication (PLC), USB communication, Ethernet, serial communication, optical/coaxial cables, and the like.

(Member) The corporate terminal 20 and the demand enterprise terminal 30 include a smart phone, a portable terminal, a mobile terminal, a foldable terminal, and a personal information terminal. Digital Assistant: PDA), PMP (Portable Multimedia Player) terminal, Telematics terminal, Navigation terminal, Personal Computer, Notebook PC, Slate PC, Tablet PC, Ultrabook, wearable device (including, for example, smartwatch, smart glass, HMD (Head Mounted Display), etc.), Wibro terminal, IPTV (Internet It can be applied to various terminals such as Protocol Television) terminals, smart TVs, digital broadcasting terminals, AVN (Audio Video Navigation) terminals, A / V (Audio / Video) systems, flexible terminals, digital signage devices, etc.

In one embodiment, the (member) company terminal 20 may be implemented as a terminal or server belonging to a company that registers company information through an AI electronic contract service mediation platform and receives a customer request. The demand company terminal 30 may be implemented as a terminal in charge or a server belonging to a company that wants to find a business partner company through an AI electronic contract service mediation platform. Although the (member) enterprise terminal 20 and the demand enterprise terminal 30 are technically implemented with the same configuration, functions are separately described to help understanding of the invention.

The corporate information management unit 120 collects corporate information of companies including business types, industries, sales, transaction history, customer information, and customer evaluation scores for each company based on the open API provided by the AI electronic contract service brokerage platform, and stores them in a corporate database ( 125).

In one embodiment, the company information management unit 120 stores company information of companies collected through an open API provided by a public data portal.

The company information management unit 120 may arbitrarily collect a plurality of company information opened in the portal based on an open API. In other words, open business information formed based on the web or app can be collected and provided to the AI electronic contract service mediation platform.

In addition, the company information management unit 120 may be implemented to receive registration requests and company information directly from member company terminals that want to participate in interbusiness mediation services through an AI electronic contract service mediation platform formed based on a web or dedicated app. .

The company information management unit 120 may receive input of information such as a greeting or profile (biography) that briefly introduces the field of business and area of expertise of a business partner requiring mediation from a company seeking registration. In addition, it may be preceded by submitting evidence for career, education, qualification, etc. entered by the company in the profile, and it may be implemented to perform an authentication process for the evidence.

The company information management unit 120 builds the company database 125 by classifying the received company information by type of business and category by type of business.

In one aspect, data stored in the enterprise database 125 built by the enterprise information management unit 120 is collected from a public data portal in which the enterprise information management unit 120 sequentially opens public data of the Small and Medium Business Administration, offices, and autonomous districts may contain information. For example, the company information management unit 120 may build a company database 125 by classifying companies such as manufacturing complexes, distribution companies, and vendor companies according to business types, sales, and company composition.

In addition, the company information management unit 120 builds a company database 125 according to information input through an AI electronic contract service mediation web page or a dedicated app provided by the AI electronic contract service mediation platform according to an embodiment, It is desirable to store all the data provided by each public data portal so that it can be classified, classified, processed, and transmitted, and it is desirable to be configured to additionally store open APIs updated according to a certain period.

The company database 125 is a computer-readable recording medium, such as a flash memory type, a hard disk type, a multimedia card micro type, and a card type memory (eg, SD or XD memory, etc.), magnetic memory, magnetic disk, optical disk, SRAM (Static Random Access Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) RAM (random access memory) , read only memory (ROM) and non-permanent mass storage devices such as disk drives.

In one embodiment, the company information management unit 120 classifies companies that can perform business as customers in the company database 125 by industry type and business type, and builds a database.

In one embodiment, the company information management unit 120 classifies the type of company based on standard industry classification criteria, and analyzes the market size, export size, government support amount, number of companies, and growth rate for a certain period of time to determine the number of companies. The future growth index of the industry may be calculated and stored in the company database 125 .

In addition, the company information management unit 120 analyzes the company's R&D cost, ratio of R&D investment to sales, equipment facility size, facility investment cost, production capacity index, and the number of intellectual property applications to calculate the company's technical index, and then calculates the company database (125 ) can be stored.

In addition, the company information management unit 120 may analyze the company's financial activity status for a certain period of time, evaluate the company's liquidity, stability, profitability, and activity, and store financial activity indicators in the company database 125.

The user interface unit 130 may provide a screen interface for mediating a one-to-one electronic contract or open bidding based on the type of electronic contract service requested from the consumer enterprise terminal 30 . The type of electronic contract service may include one-to-one electronic contract and open bidding. When the one-to-one electronic contract is selected, a screen interface for the one-to-one electronic contract is provided to the demand company terminal 30, and when the open bidding is selected, a screen interface for the open bidding is provided. Provides a screen interface.

The electronic contract brokerage unit 140 is based on the input information of the consumer company terminal 30 received through the user interface unit 130, and the enterprise terminal corresponding to the electronic contract service request. (20) can mediate electronic contracts.

According to an embodiment of the present invention, the electronic contract intermediary unit 140 converts the contract of the electronic contract before the electronic contract between the consumer enterprise terminal 30 and the enterprise terminal 20 corresponding to the electronic contract service request is completed. It can be analyzed in advance and, based on the result of the analysis, potential poisonous provisions can be displayed on each consumer enterprise terminal 30 and enterprise terminal 20 .

More specifically, the electronic contract brokerage unit 140 pre-processes data on the disputed contract clauses and judgment results based on a separate contract dispute database (not shown) built in advance in relation to contract disputes to learn data. , and may further include a dispute analysis unit (not shown) that performs machine learning with the built learning data. The dispute analysis unit reviews in real time the terms in the contracts of the electronic contracts brokered by the electronic contract brokerage unit 140 on the AI electronic contract service mediation platform, highlights and displays potential poisonous clauses that may be subject to future legal disputes, and details Additional related information may be provided.

Through the provision of analysis results of potential toxic clauses of the electronic contract brokerage, the parties to the contract can review the contents of the contract once again and reduce the potential for legal disputes in the future.

When the type of electronic contract service requested from the consumer company terminal 30 is a one-to-one electronic contract, the company search unit 145 receives a company search request from the consumer company terminal 30 and retrieves the information from the company database 125. At least one company corresponding to the company search request may be extracted.

The information providing unit 150 may provide company information on at least one or more companies corresponding to the company search request to the consumer company terminal 30 .

At this time, the company search request from the consumer company terminal 30 includes information necessary to search for a business partner. In one embodiment, the company search request includes industry information of a search target company based on standard industry classification criteria, market size for a certain period of time, export scale, government support amount, number of companies, growth rate, R&D cost of search target company, sales ratio It includes at least one of information such as R&D investment ratio, facility scale, facility investment cost, production capacity index, technical indicators such as the number of intellectual property applications, and liquidity, stability, profitability, and activity of the company to be searched.

In one embodiment, the company search unit 145 may extract companies corresponding to the industry and type of business of the customer required from the demand company according to the company search request.

In one embodiment, the company search unit 145 based on the data stored in the company database 125, type of company, market size for a certain period of time, export size, government support amount, number of companies, growth rate, R&D cost, sales A company corresponding to the company search request is extracted by further reflecting at least one of the criteria of R&D investment ratio, facility facility size, facility investment cost, production capacity index, number of intellectual property applications, company liquidity, stability, profitability, and activity. .

In an additional aspect of the present invention, the company search unit 145 is configured for each element based on information in which the weight of the company element, which is a suitability criterion, is set when the demand company terminal 30 extracts a customer from among search target companies. It is possible to extract a customer with a weight.

For example, if a consuming company places importance on the factor of distance from the consuming company, weight is given to the 'distance' item, and if importance is placed on the factor of export size or market size, 'market size or export size' is important. Weights can be assigned to 'economic indicators such as scale'. At this time, the weighting factor is not limited to a specific range, and can be interpreted to encompass all possible factors that can be reflected to select a business partner.

In other words, if a demand company sets an element that it wants to reflect first in selecting a customer, it is reflected in the selection decision in the process of extracting the customer target company by assigning a weight to the factor.

Accordingly, it is possible to set and reflect whether the demand company wants to search for a customer with an emphasis on future growth, or whether it wants to search for a customer with an emphasis on technical indicators by reflecting the ratio of R&D investment to sales or the number of intellectual property applications. In addition, there is an effect that it is possible to search for a customer with higher satisfaction by applying various criteria to the elements that the demand company considers more important.

The company search unit 145 may preferentially extract a company having a strength in a weighted item by applying a weight for each customer selection factor input from the demand company terminal 30 .

The information providing unit 150 provides the company information extracted from the company search unit 145 to the consumer company terminal 30 . In one embodiment, the information providing unit 150 may provide the company information extracted through the AI electronic contract service mediation platform to the demand company terminal 30 .

The information providing unit 150 may list information on provided companies and provide them in an enumerated form or display the locations of searched companies on a map image. However, it is not limited thereto and is possible through various forms of providing results.

In one aspect of the present invention, the contract request notification unit 160 sends an electronic contract request message to a company terminal corresponding to a company selected from the consuming company terminal 30 among the extracted company information provided by the information providing unit 150. can provide

Additionally, the contract request notification unit 160 may open a 1:1 chat room or provide a link for voice call connection so that the consumer company terminal 30 can request a non-face-to-face inquiry to the selected company.

At this time, the contract request notification unit 160 determines whether the electronic contract request target company is a registered member company, and if it is a member company, it sends a contract request message through the AI electronic contract service mediation platform, and if it is an unregistered company, the unregistered company Subscription instructions or prior review requests are sent to the contact information of

For example, when a customer company completes a customer information search through an AI electronic contract service brokerage platform, a specific company can be selected and a partnership proposed. For example, it provides non-face-to-face contact services such as wire, chat, and e-mail.

In addition, a communication channel is formed with the selected company terminal 20 through a non-face-to-face contact service such as wired, chatting, or e-mail, and a response to an electronic contract request message (business proposal) provided by the consuming company terminal 30 from the company terminal. If this is replied, a partnership can be formed.

Therefore, even if the company requesting the e-contract is not a member company registered in the AI e-contract service mediation platform, a consistent user experience can be provided so that the requesting company does not experience any inconvenience in sending the e-contract request message (business proposal).

At this time, the non-face-to-face proposal service provided within the AI electronic contract service mediation platform provides only the minimum request information to enable quick and accurate review and acceptance of business proposals.

For example, the business proposal transmitted from the consumer company terminal 30 to the member company terminal may include a company name, an e-mail address, contact information in charge, inquiry contents, and attachments. However, it is not limited thereto.

The correlation analysis unit 170 analyzes the degree of association between the company selected from the consuming company terminal 30 and the consuming company.

The machine learning unit 180 machine-learns the analysis result of the company selected from the demand company terminal 30 and the association analysis unit 170 .

The machine learning unit 180 assigns a weight to the company selected by the consuming company terminal 30 for the relevance analysis result in the relevance analysis unit 170 and reflects it in machine learning, so that the consuming company terminal 30 in the future It is possible to more accurately predict the selection result of the company to be selected.

In a characteristic aspect of the present invention, the company search unit 145 recognizes keywords included in the company search request, and extracts matching companies based on the recognized keywords.

For example, the company search unit 145 uses keywords such as adhesive, factory, furniture, and finishing materials when a company search request includes the phrase 'furniture finishing material adhesive factory' when a consumer company wants to search for a furniture manufacturer. Recognize.

In addition, companies belonging to the furniture manufacturing industry may be extracted from among companies stored in the company database 125 .

Further, the relevance analysis unit 170 analyzes the relevance between the keyword recognized by the company search unit 145 and the company selected in the selection unit.

In one embodiment, the association analysis unit 170 may derive similarity using a deep learning algorithm.

The relevance analyzer 170 analyzes the relevance for each company stored in the company database 125 based on the reference information for selecting a business partner input from the demand company terminal 30 . In addition, when the degree of association as a result of analysis by the degree of association analysis unit 170 exceeds a predetermined criterion, the qualification of the customer is granted.

For example, the relevance analyzer 170 determines that, for example, when the phrase 'furniture finishing material bonding factory' is included in the company search request from the consumer company terminal 30, a company that handles furniture finishing materials in a furniture manufacturing process and a consumer company For each type of furniture to be manufactured or whether the main process material of the furniture manufacturer desired by the consumer company is solid wood or steel, a high degree of association with the furniture manufacturer of the desired material can be assigned.

The recommender 190 determines the degree of relevance with the demand company as a result of analysis by the relevance analysis unit 170 among the extracted company information provided by the information providing unit 160 based on the contents machine-learned by the machine learning unit 180. At least one company is recommended in order of preference.

The recommendation unit 190 selects and recommends a company that is determined to be more preferred by the demand company based on the machine learning data from the machine learning unit 180 among at least one or more companies extracted from the company search unit 145. can

Further, the machine learning unit 180 identifies and further learns a company selected from the demand company terminal 30 among at least one company recommended by the recommendation unit 190 . Accordingly, it is possible to learn more about which companies the consuming company actually selects as a customer, and when the same consuming company later requests a customer search, it is possible to reflect the learned information on the relevant company and make a recommendation.

In other words, even if weight information for each factor that is important when selecting a customer is not directly input from the customer company, it is possible to recommend a company that the customer company can satisfy based on previously learned customer selection information.

The machine learning unit 180 can deep-learn its own characteristics from the deep-learning algorithm based on the vast amount of company data and business partner selection information built in the company information management unit 120.

Therefore, it becomes possible to recommend companies that can satisfy the conditions of more demanding companies than before.

In an additional aspect of the present invention, the electronic contract service intermediary system 10 stores and manages existing customer company information previously selected by the demand company. And for each demand company, the characteristics of the existing customer company are analyzed.

In addition, by monitoring the business contract relationship with the existing business partner, when the contract expires or information on the termination of the business relationship is entered from one of the two companies, the recommendation unit 190 displays the contents of the contract with the existing business partner, that is, the partner At least one or more companies among the companies may be recommended again based on the evaluation information on the business performance status between the companies and the conditions subordinate to the transaction relationship.

Additionally, the electronic contract service intermediary system 10 according to an embodiment further receives feedback information about an existing trade partner. In addition, feedback information may be further input from the business partner company after working-level processing with the customer company. That is, the mediation service providing device may evaluate and monitor matters regarding job satisfaction between business partners in a business partner relationship between companies.

For example, if company A is not satisfied with the response speed for collaboration with existing customer B, a company with a fast response speed in a similar industry as customer B is recommended to company A. In addition, if company C puts importance on the factor of export scale or market size of the customer in the process of selecting a previous customer, company D with strength in that factor can be recommended. In other words, it may be recommended as a company by further reflecting evaluation information according to previous business fulfillment with other business partners. At this time, the work evaluation factors for evaluation can be set in various ways, including the evaluation factors that can evaluate the work satisfaction between partners.

When the type of electronic contract service requested from the consumer company terminal 30 is open bidding, the user interface unit 130 provides the consumer company terminal 30 with an environment for registering an open bid.

At this time, the company search unit 145 extracts at least one member company terminal that satisfies the conditions of the registered open bidding registration information from the consumer company terminal 30 .

In addition, the contract request notifying unit 160 sends a notification message about the open bidding to at least one member company terminal that satisfies the conditions of the registered open bidding registration information, and the demand enterprise among member company terminals that have responded to the open bidding. A successful bid selection message is sent from the terminal 30 to the selected member company terminal.

Here, the open bidding registration information may include business field, project name, demand company, bidding period, progress status, attached file, and the like.

The user interface unit 130 may provide a screen for requesting a bid for open bidding from a member company terminal.

The user interface unit 130 may check the bidding status of the consuming company and detailed information on the bidding company, and provide a screen for selecting a successful bidder.

A detailed description of the above-described open bidding will be described later in the description of FIGS. 4A to 4F.

2 is a flowchart illustrating an artificial intelligence-based electronic contract service mediation method according to an embodiment of the present invention.

An artificial intelligence-based electronic contract service brokerage method according to an embodiment collects company information based on an open API and builds a company database 125 (S200).

Data stored in the established enterprise database 125 may include information collected by the enterprise information management unit 120 from a public data portal that sequentially opens public data of the Small and Medium Business Administration, business offices, and autonomous districts. For example, the company database 125 may be built by classifying companies such as manufacturing complexes, distribution companies, and vendor companies according to business types, sales, and company composition.

In addition, the company information management unit 120 builds a company database 125 according to information input through an AI electronic contract service mediation web page or a dedicated app provided by the AI electronic contract service mediation platform according to an embodiment, It is desirable to store all the data provided by each public data portal so that it can be classified, classified, processed, and transmitted, and it is desirable to be configured to additionally store open APIs updated according to a regular cycle.

In one embodiment, the industry of the company is classified based on standard industry classification criteria, and the market size, export size, government support amount, number of companies, and growth rate are analyzed for a certain period of time to calculate future growth indicators of the company's industry and can be stored in the enterprise database 125.

In addition, the company's R&D cost, ratio of R&D investment to sales, equipment facility size, equipment investment cost, production capacity index, and number of intellectual property applications may be analyzed to calculate the company's technical index and store it in the company database 125.

In addition, the financial activity status of the company performed for a certain period of time may be analyzed to evaluate the company's liquidity, stability, profitability, and activity, and the financial activity index may be stored in the company database 125 .

Afterwards, based on the type of electronic contract service requested from the consumer company terminal 30, a screen interface for mediating one-to-one electronic contract or open bidding is provided (S210).

The type of electronic contract service may include one-to-one electronic contract and open bidding. When the one-to-one electronic contract is selected, a screen interface for the one-to-one electronic contract is provided to the demand company terminal 30, and when the open bidding is selected, a screen interface for the open bidding is provided. Provides a screen interface.

Then, based on the input information of the consuming company terminal 30, the electronic contract between the consuming company terminal 30 and the enterprise terminal corresponding to the electronic contract service request is brokered (S220).

According to an embodiment, when the requested electronic contract service type is a one-to-one electronic contract, a company search request is received from the consumer company terminal 30 and at least one or more companies corresponding to the company search request are received from the company database 125. Search for and extract companies (S230)

At this time, the company search request from the consumer company terminal 30 includes information necessary to search for a business partner. In one embodiment, the company search request includes industry information of a search target company based on standard industry classification criteria, market size for a certain period of time, export scale, government support amount, number of companies, growth rate, R&D cost of search target company, sales ratio It includes at least one of information such as R&D investment ratio, facility scale, facility investment cost, production capacity index, technical indicators such as the number of intellectual property applications, and liquidity, stability, profitability, and activity of the company to be searched.

In one embodiment, based on the data stored in the company database 125 according to the company search request, the company's type of business, market size for a certain period of time, export size, government support amount, number of companies, growth rate, R&D cost, sales ratio study Companies corresponding to the company search request can be extracted by further reflecting at least one criterion of development investment ratio, facility size, facility investment cost, production capacity index, number of intellectual property applications, company liquidity, stability, profitability, and activity. .

In an additional aspect of the present invention, when the demand company terminal 30 extracts business partners from search target companies, weights are set for each element based on information for setting the weight of business elements that serve as suitability criteria, and the business partners are extracted. can do.

For example, if a consuming company places importance on the factor of distance from the consuming company, weight is given to the 'distance' item, and if importance is placed on the factor of export size or market size, 'market size or export size' is important. Weights can be assigned to 'economic indicators such as scale'. At this time, the weighting factor is not limited to a specific range, and can be interpreted to encompass all possible factors that can be reflected to select a business partner.

In other words, if a demand company sets an element that it wants to reflect first in selecting a customer, it is reflected in the selection decision in the process of extracting the customer target company by assigning a weight to the factor.

Accordingly, it is possible to set and reflect whether the demand company wants to search for a customer with an emphasis on future growth, or whether it wants to search for a customer with an emphasis on technical indicators by reflecting the ratio of R&D investment to sales or the number of intellectual property applications. In addition, there is an effect that it is possible to search for a customer with higher satisfaction by applying various criteria to the elements that the demand company considers more important.

According to an embodiment, a weighted value for each customer selection factor input from the demand company terminal 30 may be applied to preferentially extract a company having a strength in a weighted item.

The company information about at least one company extracted here is provided to the consumer company terminal 30 (S240).

In one embodiment, when providing company information extracted through the AI electronic contract service mediation platform to the demand company terminal 30, the information of the provided companies is listed and provided in a listed form, or searched on a map image It can be provided in the form of indicating the location of the company. However, it is not limited thereto and is possible through various forms of providing results.

Afterwards, the electronic contract request message is provided to the enterprise terminal corresponding to the selected electronic contract request target enterprise from the consumer enterprise terminal 30 (S250).

In this case, the form of the one-to-one electronic contract may include any one of a labor contract, a store occupancy contract, a supply contract, a franchise contract, a service contract, a subcontract contract, and a sales contract.

Additionally, a 1:1 chat room may be opened or a link for voice call connection may be provided so that the terminal 30 of the demand company may request a non-face-to-face inquiry to the selected company.

At this time, it is determined whether the company subject to the electronic contract request is a registered member company, and if it is a member company, a contract request message is sent through the AI electronic contract service mediation platform. You can send a review request.

Therefore, even if the company requesting the e-contract is not a member company registered in the AI e-contract service mediation platform, a consistent user experience can be provided so that the requesting company does not experience any inconvenience in sending the e-contract request message (business proposal).

When the demand company completes the search for customer information through the AI electronic contract service brokerage platform, it is possible to select a specific company and propose a partnership. For example, it provides non-face-to-face contact services such as wire, chat, and e-mail.

In addition, when a communication channel is formed with a selected company terminal through a non-face-to-face contact service such as wired, chatting, or e-mail, and a response to the electronic contract request message (business proposal) provided by the consumer company terminal 30 is returned from the company terminal partnerships can be formed.

At this time, the non-face-to-face proposal service provided within the AI electronic contract service mediation platform provides only the minimum request information to enable quick and accurate review and acceptance of business proposals.

According to an embodiment, the company information includes business type, type of business, sales, transaction history, customer company information, and customer evaluation scores for each company.

According to an embodiment, if the type of electronic contract service requested is open bidding, providing an environment for registering an open bid to the consuming company terminal 30 (S235), the registered public from the consuming company terminal 30 Extracting at least one member company terminal that satisfies the condition of the bid registration information (S245), sending a notification message about the open bid to the at least one member company terminal (S255), and responding to the open bid. The method may further include sending a successful bid selection message to a member company terminal selected from the consumer company terminal 30 among member company terminals (S265).

Here, the open bidding registration information may include business field, project name, demand company, bidding period, progress status, attached file, and the like.

In addition, a screen for requesting a bid for open bidding can be provided to the member company terminal, and a screen for checking the bidding status and detailed information on the bidding company and selecting a successful bidder can be provided to the demand company terminal 30. can

A more detailed description of this will be described later in the description of FIGS. 4A to 4F.

According to an embodiment, a correlation analysis step (S260) of analyzing the degree of association between the company selected from the consuming company terminal 30 and the consuming company, and a machine learning step of applying the analysis result of the correlation analysis step to machine learning. (S270) may be further included.

In the search step (S240), a search word included in the company search request is recognized, and matching companies are extracted based on the recognized keyword and search condition.

In the relevance analysis step (S260), the relevance between the keyword and search condition recognized in the search step (S240) and the selected company is analyzed.

In the information providing step (S240), based on the degree of relevance analyzed in the relevance analysis step, among the at least one or more companies, recommendations are made in the order of high relevance to the demand company.

In the machine learning step (S270), a weight is applied to a company selected from the demand company terminal 30 or a successful bidder company and reflected in machine learning.

3A to 3F are diagrams illustrating screen interfaces provided when the type of electronic contract service requested from the consumer enterprise terminal 30 is a one-to-one electronic contract according to an embodiment of the present invention.

First, when the demand enterprise terminal 30 accesses the AI electronic contract service mediation platform and logs in, a one-to-one electronic contract can be executed by selecting the electronic contract menu on the main page.

Referring to FIG. 3A , in the case of a one-to-one electronic contract, a screen for selecting a contract type such as an employment contract, a store contract, a supply contract, a franchise contract, a service contract, a subcontract contract, or a sales contract is provided.

Referring to FIG. 3B , when the demand enterprise terminal 30 selects an employment contract, an employment contract form for the employment contract may be uploaded or a standard contract form provided by the AI electronic contract service mediation platform may be selected. 3B illustrates a screen for the consumer company terminal 30 to directly upload an employment contract form.

Referring to FIG. 3C , for example, when the consuming company terminal 30 directly uploads an employment contract form, A becomes A and the target of the labor contract becomes B. Here, the subject of the one-to-one contract may preferably be a member company, but is not limited thereto and may be an individual.

In addition, the user interface unit 130 provides a screen for creating an electronic contract, such as a menu for receiving signatures of contract subjects and a separate authentication menu for authentication of public certificates.

Referring to FIG. 3D , for example, when the contract target selected by the consumer company terminal 30 is not a subscribed member, the contract request notification unit 160 allows the consumer company terminal 30 to directly input the other party's e-mail address or , based on the information stored in the database, the e-mail address of the other party can be configured to be entered in advance. In addition, a menu can be configured to send a message for guiding membership registration of the AI electronic contract service mediation platform or a message requesting a prior review.

Referring to Figure 3e, when the demand company terminal 30 selects a labor contract, a screen for calling a standard contract form provided by the AI electronic contract service mediation platform is illustrated. According to one aspect, menus for temporary storage, preliminary review, and contract completion may be configured.

Referring to FIG. 3f, a screen for selecting a contract desired by the demand enterprise terminal 30 among standard contracts provided by the FTC standard contract or platform company is illustrated on the screen for calling up the standard contract form provided by the AI electronic contract service mediation platform. there is. In this way, when the consumer enterprise terminal 30 selects the one-to-one electronic contract, user convenience may be reconsidered by providing options for various contract forms according to the contract type.

4a to 4f are diagrams illustrating a screen interface provided when the type of electronic contract service requested from the consumer company terminal 30 is an open bidding, according to an embodiment of the present invention.

Referring to FIG. 4A , an initial screen displayed when a member company terminal selects an open bidding menu on a main page is illustrated. On this screen, a category menu for each business field and a list of open bids that are currently open can be checked so that member company terminals can make open bids. The open bidding list is provided with menus such as business field, project name, name of demand company, bidding period, progress status, bidding, etc., and an environment in which member company terminals can select a desired open bidding and proceed with bidding is provided.

Referring to FIG. 4B , a screen on which the demand company terminal 30 can select an open bidding menu on the main page of the AI electronic contract service mediation platform to register an open bid is exemplified. It includes the project name, project details, bidding period, attachment file upload menu, and the like.

Referring to FIG. 4C , when a member company terminal selects an open bid registered through FIG. 4B , a screen on which detailed information on the corresponding open bid can be checked is exemplified. It includes the project name, project details, bidding period, attached files, client company name, and bidding menu.

Referring to FIG. 4D , when the member company terminal checks detailed information on a specific open bid through FIG. 4C and selects the Bid menu, a menu is provided to request a bid by uploading an estimate amount and a detailed estimate file. .

Referring to FIGS. 4E to 4F , when the bidding period of the open bidding registered by the consumer company terminal 30 is closed, a menu for checking the bidding status is provided, and when the bidding status menu is selected, the bidding company, estimate, A detailed quotation, company confirmation, contract menu, etc. are provided to provide convenience for selecting a successful bid for the terminal 30 of the demand company.

The above method may be implemented as an application or implemented in the form of program instructions that can be executed through various computer components and recorded on a computer readable recording medium. The computer readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

Program instructions recorded on the computer-readable recording medium may be those specially designed and configured for the present invention, or those known and usable to those skilled in the art of computer software.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks. media), and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.

Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes such as those produced by a compiler. The hardware device may be configured to act as one or more software modules to perform processing according to the present invention and vice versa.

Although the above has been described with reference to embodiments, it will be understood that those skilled in the art can variously modify and change the present invention without departing from the spirit and scope of the present invention described in the claims below. You will be able to.

10: Electronic contract service brokerage system 20: Enterprise terminal
30: demand enterprise terminal 110: communication department
120: company information management unit 130: user interface unit
140: electronic contract brokerage unit 145: company search unit
150: information provision unit 160: contract request notification unit
170: association analysis unit 180: machine learning unit
190: recommendation unit 125: corporate database

Claims (11)

A corporate information management unit that collects corporate information based on an open API and builds a corporate database;
a user interface unit providing a screen interface for mediating a one-to-one electronic contract or open bidding based on the type of electronic contract service requested from the terminal of the consumer company; and
Based on the input information of the consuming enterprise terminal received through the user interface unit, an electronic contract brokerage unit for mediating an electronic contract between the consuming enterprise terminal and the enterprise terminal corresponding to the electronic contract service request; including, artificial intelligence-based 's electronic contract service brokerage system. According to claim 1,
a company search unit receiving a company search request from the consumer company terminal and extracting at least one company corresponding to the company search request from the company database when the type of the requested electronic contract service is a one-to-one electronic contract;
an information providing unit providing company information on the at least one or more companies to the consumer company terminal; and
A contract request notification unit providing an electronic contract request message to a company terminal corresponding to a company selected from the demand company terminal;
The user interface unit provides an environment for creating a standard contract or a user-defined contract for each type of one-to-one electronic contract to the demand enterprise terminal and the enterprise terminal,
The form of the one-to-one electronic contract is any one of a labor contract, a store contract, a supply contract, a franchise contract, a service contract, a subcontract contract, and a sales contract;
The company information is an artificial intelligence-based electronic contract service brokerage system, characterized in that it includes business type, industry, sales, transaction history, customer information, and customer evaluation scores for each company. According to claim 1,
a company search unit receiving a company search request from the consumer company terminal and extracting at least one company corresponding to the company search request from the company database when the type of the requested electronic contract service is a one-to-one electronic contract;
an information providing unit providing company information on the at least one or more companies to the consumer company terminal; and
A contract request notification unit providing an electronic contract request message to a company terminal corresponding to a company selected from the demand company terminal;
The user interface unit provides an environment for creating a standard contract or a user-defined contract for each type of one-to-one electronic contract to the demand enterprise terminal and the enterprise terminal,
The form of the one-to-one electronic contract is any one of a labor contract, a store contract, a supply contract, a franchise contract, a service contract, a subcontract contract, and a sales contract;
The company information is an artificial intelligence-based electronic contract service brokerage system, characterized in that it includes business type, industry, sales, transaction history, customer information, and customer evaluation scores for each company. According to claim 1,
a company search unit receiving a company search request from the consumer company terminal and extracting at least one company corresponding to the company search request from the company database when the type of the requested electronic contract service is a one-to-one electronic contract;
an information providing unit providing company information on the at least one or more companies to the consumer company terminal; and
A contract request notification unit providing an electronic contract request message to a company terminal corresponding to a company selected from the demand company terminal;
The user interface unit provides an environment for creating a standard contract or a user-defined contract for each type of one-to-one electronic contract to the demand enterprise terminal and the enterprise terminal,
The form of the one-to-one electronic contract is any one of a labor contract, a store contract, a supply contract, a franchise contract, a service contract, a subcontract contract, and a sales contract;
The company information is an artificial intelligence-based electronic contract service brokerage system, characterized in that it includes business type, industry, sales, transaction history, customer information, and customer evaluation scores for each company. According to claim 4,
Based on the machine learning contents of the machine learning unit, among the company information provided by the information providing unit, at least one company is recommended based on the degree of relevance analyzed by the relevance analysis unit in order of high relevance to the demand company. Artificial intelligence-based electronic contract service brokerage system further comprising a; recommendation unit to do. According to claim 4,
The machine learning unit,
An artificial intelligence-based electronic contract service brokerage system, characterized in that for applying a weight to a company selected from a demand company terminal among at least one company recommended by the recommendation unit and reflecting it in machine learning. DB construction step of collecting corporate information based on an open API and building it into a corporate database;
providing a screen interface for brokering a one-to-one electronic contract or open bidding based on the type of electronic contract service requested from the terminal of the demand enterprise; and
An electronic contract mediation step of mediating an electronic contract between the consuming company terminal and a company terminal corresponding to the request for the electronic contract service based on the input information of the consuming enterprise terminal. According to claim 7,
If the type of electronic contract service requested above is a one-to-one electronic contract,
a search step of receiving a company search request from the demand company terminal and extracting at least one company corresponding to the company search request from the company database;
an information providing step of providing company information on the at least one or more companies to the consumer company terminal; and
Further comprising a contract request notification step of providing an electronic contract request message to a company terminal corresponding to an electronic contract request target company selected from the demand company terminal;
The form of the one-to-one electronic contract is any one of a labor contract, a store contract, a supply contract, a franchise contract, a service contract, a subcontract contract, and a sales contract,
The company information is an artificial intelligence-based electronic contract service brokerage method, characterized in that it includes business type, type of business, sales, transaction history, customer company information, and customer evaluation scores for each company. According to claim 8,
If the type of electronic contract service requested above is an open tender;
providing an environment for registering an open bid to the demand enterprise terminal;
extracting at least one member company terminal that satisfies a condition of open bidding registration information registered from the demand enterprise terminal;
sending a notification message about the open bidding to the at least one member company terminal; and
The artificial intelligence-based electronic contract service brokerage method further comprising the step of sending a successful bid selection message to a member company terminal selected from the demand company terminals among member company terminals that have responded to the open bid. According to claim 8,
If the type of electronic contract service requested above is an open tender;
providing an environment for registering an open bid to the demand enterprise terminal;
extracting at least one member company terminal that satisfies a condition of open bidding registration information registered from the demand enterprise terminal;
sending a notification message about the open bidding to the at least one member company terminal; and
The artificial intelligence-based electronic contract service brokerage method further comprising the step of sending a successful bid selection message to a member company terminal selected from the demand company terminals among member company terminals that have responded to the open bid. According to claim 10,
In the step of providing information,
Based on the degree of relevance analyzed in the relevance analysis step, among the at least one or more companies, recommendations are made in order of high relevance to the demand company;
The machine learning step is
An artificial intelligence-based electronic contract service brokerage system, characterized in that for applying weights to companies selected from the demand company terminals or successful bidders and reflecting them in machine learning.

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