Artificial intelligence matching service system for collaborative manufacturing based on company information

Abstract

The present invention relates to an artificial intelligence matching service system for collaborative manufacturing based on company information, the system enabling a company having no professional manpower for manufacturing / creation / production, such as a startup or a small and medium-sized enterprise, to systematically and efficiently manufacture / create / produce a product. Implemented is an artificial intelligence matching service system for collaborative manufacturing based on company information, the system including: a consumer terminal for requesting manufacturing / creation / production; a supplier terminal for providing manufacturing / creation / production; an expert terminal for providing expert knowledge in manufacturing / creation / production; a database for storing manufacturing / manufacturing / production request information of the consumer terminal, manufacturing / creation / production providing information of the supplier terminal, and expert knowledge of the expert terminal in manufacturing / creation / production; and an artificial intelligence-based matching platform for refining the stored manufacturing / creation / production request information, manufacturing / creation / production providing information, and expert knowledge in manufacturing / creation / production, and reflecting a product production method and expert information through analysis to promptly match a service company.

Description

Manufacturing Collaboration AI Matching Service System Based on Corporate Information

[0001] The present invention relates to a manufacturing collaboration artificial intelligence matching service system based on corporate information, and more particularly, to a manufacturing collaboration artificial intelligence matching service system based on corporate information that enables startups, small and medium-sized enterprises, etc. that do not have specialized personnel in manufacturing / production / production to systematically and efficiently carry out the manufacturing / production / production of products.

[0002] Domestic manufacturing is limited in its market growth potential, focusing solely on securing manufacturing cost competitiveness and improving productivity, which limits corporate growth.

[0003] From the past to the present, from the perspective of startups or small and medium-sized enterprises, small and medium-sized enterprises (or startups) have had to invest in the entire process of producing a product, from product planning to design, molding, and sales, and have had to shoulder the risks that come with it. As a result, small and medium-sized enterprises (or startups) feel burdened by the development of new products, and as a result, product development becomes passive and discouraged.

[0004] In other words, the process of manufacturing a product requires various operators, such as a planner who plans the product, a raw material supplier who supplies the raw materials for the product, a designer who designs the product, a producer who manufactures the product, and a delivery person who delivers the raw materials or finished product. However, for small and medium-sized enterprises (or startups), there are various difficulties, such as economic issues, in securing all of these operators and operating the business.

[0005] Furthermore, while SMEs (or startups) recognize the need for strategies to address changing market trends and customer satisfaction, as well as the need for innovation and growth, they lack the time and human resources to acquire systematic methodologies. While efforts are being made to acquire methodologies through external consulting services to support corporate growth, these efforts run the risk of introducing risks through unrealistic, formal consulting.

[0006] Therefore, to foster the growth of small and medium-sized manufacturing industries, it is necessary to establish a multilateral collaborative environment through the active participation of various stakeholders (design firms, investors, small and medium-sized manufacturers, and consumers) by utilizing crowdsourcing techniques. Furthermore, it is necessary to develop integrated manufacturing collaboration platform technology that can reduce the burden of new product development and enhance product value by leveraging each individual's strengths.

[0007] Accordingly, the present invention has been proposed to promote the convergence between manufacturing and soft power areas and realize high added value in small and medium-sized manufacturing by supporting smart consumer goods parts manufacturing collaboration services that are lacking in general small and medium-sized manufacturing industries as mentioned above, and the purpose is to provide a manufacturing collaboration artificial intelligence matching service system based on corporate information that enables startups, small and medium-sized enterprises, etc. that do not have specialized personnel in manufacturing / manufacturing / production to systematically and efficiently proceed with the manufacturing / manufacturing / production of products.

[0008] Another purpose of the present invention is to provide a manufacturing collaboration artificial intelligence matching service system based on corporate information that quickly matches product production methods and specialized information required by users, suppliers, and experts by refining and analyzing detailed information of users, suppliers, and experts into a database.

[0009] In order to achieve the above-mentioned purpose, the "manufacturing collaboration artificial intelligence matching service system based on corporate information" according to the present invention,

[0010] Demand terminal requesting manufacturing / production / production;

[0011] Supplier terminal providing the above manufacturing / production / production;

[0012] Expert terminals providing expertise in the above manufacturing / production / production;

[0013] A database that stores manufacturing / production / production request information of the above demand terminal, manufacturing / production / production provision information of the above supplier terminal, and specialized knowledge regarding manufacturing / production / production of the above expert terminal; and

[0014] It is characterized by including an artificial intelligence-based matching platform that quickly matches service providers by reflecting product production methods and specialized information through refining and analyzing manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge related to manufacturing / production / production stored in the above database.

[0015] In the above, the user terminal is

[0016] Manufacturing process service selection section for selecting manufacturing process services;

[0017] Location guidance section providing location information for users;

[0018] Target quantity request section requesting target quantity for manufacturing / production / production;

[0019] It is characterized by including a budget guidance section that provides budget guidance according to the above target quantity.

[0020] In the above, the supplier terminal is

[0021] It is characterized by providing manufacturing / production methods including 3D printing, 3D scanning, mock-up, vacuum casting / vacuum forming, mold, injection, CNC machining, MCT machining, sheet metal, bending, metal laser, casting, extrusion, post-processing, post-treatment, surface finishing, electronic circuit, electronic component, wire harness, and box manufacturing technologies.

[0022] In the above, the supplier terminal is

[0023] Manufacturing Process Technology Guidance Department that provides guidance on manufacturing process technology;

[0024] A staffing information department that provides information on staffing for manufacturing processes;

[0025] Equipment provision department that provides equipment for manufacturing processes;

[0026] It is characterized by including a company location guide that provides company location information.

[0027] In the above, the expert terminal is,

[0028] It is characterized by providing a series of methods related to product development and production / manufacturing / production, including product planning, product design, visual design, package design, mechanism design, mechanical design, mold design, structural analysis, circuit design, PCB artwork, firmware, certification, quality verification, patents, utility models, PCT, trademarks, design, and market consulting.

[0029] In the above, the expert terminal is,

[0030] The Professional Technology Provider Department provides professional technology held by experts;

[0031] A staffing information desk that provides information on human resources for manufacturing processes;

[0032] A facility information section that provides information on facilities for the above manufacturing process;

[0033] It features a company location guide that provides guidance on the company's location.

[0034] The artificial intelligence-based matching platform mentioned above is

[0035] A preprocessing unit that refines manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge regarding manufacturing / production / production provided in the above database;

[0036] A recommendation list generation unit that analyzes the refined information preprocessed in the above preprocessing unit using an artificial intelligence algorithm and recommends a product production method and specialized information based on the manufacturing / production / production request information requested by the user;

[0037] A service provider recommendation unit that recommends service providers based on the list recommended in the above recommendation list generation unit;

[0038] It is characterized by including a quotation proposal service recommendation unit that recommends a proposed quotation based on a list of recommended quotation proposals from the above-mentioned recommendation list generation unit.

[0039] In the above, the preprocessing unit is

[0040] A data filtering unit that filters manufacturing / production / production request information and manufacturing / production / production provision information and manufacturing / production / production-related expert knowledge provided in the above database;

[0041] A feature extraction unit that extracts features from data filtered through the above data filtering unit;

[0042] It is characterized by including a vector encoding unit that vectorizes the features extracted from the above feature extraction unit.

[0043] The recommended list generation section above is:

[0044] A similarity calculation unit that calculates similarity using an artificial intelligence similarity algorithm based on the feature vector output from the above preprocessing unit;

[0045] It is characterized by including a weighting unit that assigns weights to the similarity calculated in the above similarity calculation unit and generates and provides a list of recommended service providers and a list of proposed quotations based on the results.

[0046] According to the present invention, there is an effect of helping startups, small and medium-sized enterprises, etc., which do not have specialized personnel in manufacturing / production / production, to systematically and efficiently carry out the manufacturing / production / production of products.

[0047] In particular, the present invention has the effect of quickly matching service providers by reflecting the product production method and specialized information required by the users, suppliers, and experts through refining and analyzing the detailed information of users, suppliers, and experts into a database.

[0048] In addition, the present invention has the effect of helping small and medium-sized enterprises, including startups and small and medium-sized enterprises, as well as small and medium-sized manufacturers, to reduce the risks they face in relation to manufacturing information, methods, and characteristics when conducting business and to receive services related to customized manufacturing in a stable manner.

[0049] In addition, the present invention has the effect of reducing the risk of investment in manpower, funds, and time, contributing to increasing specialized manufacturing methods of manufacturing companies, and helping to increase efficient manufacturing / production production by breaking away from the existing manufacturing / production / production business method in which inefficient markets were formed due to insufficient trust and non-transparent information disclosure among manufacturers, intermediaries, and demanders.

[0050] Figure 1 is a configuration diagram of a manufacturing collaboration artificial intelligence matching service system based on corporate information according to the present invention.

[0051] Figure 2 is a functional structural diagram of the artificial intelligence-based matching platform of Figure 1.

[0052] Figure 3 is an example of a matching service that can be requested and performed by a demand terminal, a supplier terminal, and an expert terminal.

[0053] Hereinafter, a manufacturing collaboration artificial intelligence matching service system based on corporate information according to a preferred embodiment of the present invention will be described in detail with reference to the attached drawings.

[0054] The terms and words used in the present invention described below should not be interpreted as limited to their usual or dictionary meanings, but should be interpreted as meanings and concepts that conform to the technical idea of ​​the present invention based on the principle that the inventor can appropriately define the concept of the term in order to explain his or her own invention in the best way.

[0055] Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are only preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention. Therefore, it should be understood that there may be various equivalents and modified examples that can replace them at the time of filing this application.

[0056] FIG. 1 is a configuration diagram of a manufacturing collaboration artificial intelligence matching service system based on corporate information according to a preferred embodiment of the present invention, which may include a demand terminal (100), a supplier terminal (200), an expert terminal (300), a database (400), and an artificial intelligence-based matching platform (500).

[0057] A consumer terminal (100) is a terminal owned by a consumer requesting manufacturing / production / production. The terminal may be a smartphone, personal computer, or other device. The consumer refers to a company or individual requesting manufacturing / production / production.

[0058] Such a demand terminal (100) may include a manufacturing process service selection unit (101) for selecting a manufacturing process service, a location guidance unit (102) for providing demand location information, a target quantity request unit (103) for requesting a target quantity for manufacturing / production / production, and a budget guidance unit (104) for guiding a budget according to the target quantity.

[0059] The supplier terminal (200) serves to provide the above manufacturing / production / production. Here, the supplier refers to a company or individual that provides manufacturing / production / production.

[0060] These supplier terminals (200) can provide manufacturing / production methods including 3D printing, 3D scanning, mock-up, vacuum casting / vacuum forming, mold, injection, CNC machining, MCT machining, sheet metal, bending, metal laser, casting, extrusion, post-processing, post-treatment, surface finishing, electronic circuit, electronic component, wire harness, box manufacturing technology, etc.

[0061] The above supplier terminal (200) may include a manufacturing process possession technology guidance unit (201) that provides guidance on manufacturing process possession technology, a possession personnel guidance unit (202) that provides information on possession personnel for the manufacturing process, a possession facility provision unit (203) that provides possession facilities for the manufacturing process, and a company location guidance unit (204) that provides information on company location information.

[0062] The expert terminal (300) serves to provide specialized knowledge related to manufacturing / production / production. Here, the term "expert" refers to a company or individual with specialized knowledge related to manufacturing / production / production.

[0063] These expert terminals (300) serve to provide a series of methods related to product development and production / manufacturing / production, including product planning, product design, visual design, package design, mechanism design, mechanical design, mold design, structural analysis, circuit design, PCB artwork, firmware, certification, quality verification, patents, utility models, PCT, trademarks, design, and market consulting.

[0064] The above expert terminal (300) may include an expert technology provision unit (301) that provides the professional technology possessed by the expert, a personnel information unit (302) that provides personnel information for the manufacturing process, an equipment information unit (303) that provides equipment information for the manufacturing process, and a company location information unit (304) that provides information on the company location.

[0065] The database (400) serves to database the manufacturing / production / production request information of the demand terminal (100), the manufacturing / production / production provision information of the supplier terminal (200), and the specialized knowledge regarding the manufacturing / production / production of the expert terminal (300).

[0066] The artificial intelligence-based matching platform (500) refines and analyzes manufacturing / production / production request information and manufacturing / production / production provision information stored in the database (400) and specialized knowledge related to manufacturing / production / production, thereby reflecting product production methods and specialized information to quickly match service providers.

[0067] This artificial intelligence-based matching platform (500) connects manufacturers with manufacturing technologies in different fields into a supplier network and provides a platform for them to connect and access each other through the platform. It analyzes the database collected from each project using an artificial intelligence algorithm to match the optimized manufacturer requested by the user.

[0068] The core of the AI-based matching platform's AI matching service is to connect customers in need of manufacturing with manufacturers and manufacturing experts who will accept orders and produce the products.

[0069] This artificial intelligence-based matching platform (500) may include a preprocessing unit (510) that refines manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge regarding manufacturing / production / production provided by the database (400).

[0070] The above preprocessing unit (510) may include a data filtering unit (511) that filters manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge regarding manufacturing / production / production provided by the database (400), a feature extraction unit (512) that extracts features from data filtered through the data filtering unit (511), and a vector encoding unit (513) that vectorizes the features extracted by the feature extraction unit (512).

[0071] In addition, the artificial intelligence-based matching platform (500) may include a recommendation list generation unit (520) that analyzes the refined information preprocessed in the preprocessing unit (510) using an artificial intelligence algorithm and recommends a product production method and specialized information based on the manufacturing / production / production request information requested by the user.

[0072] The above-mentioned recommendation list generation unit (520) may include a similarity calculation unit (521) that calculates similarity using an artificial intelligence similarity algorithm based on the feature vector output from the preprocessing unit (510), and a weighting unit (522) that assigns weights to the similarity calculated by the similarity calculation unit (521) and generates and provides a list of recommended service providers and a list of suggested quotes based on the results. The above-mentioned artificial intelligence similarity algorithm may be implemented using deep learning or machine learning.

[0073] In addition, the artificial intelligence-based matching platform (500) may include a service provider recommendation unit (530) that recommends service providers based on the list recommended by the recommendation list generation unit (520), and a quotation proposal service recommendation unit (540) that recommends quotations based on the quotation proposal list recommended by the recommendation list generation unit (520).

[0074] The operation of the manufacturing collaboration artificial intelligence matching service system based on corporate information according to a preferred embodiment of the present invention configured as described above is described in detail as follows.

[0075] First, a demander, such as a startup or small business without manufacturing infrastructure or manufacturing process expertise, uses a demander terminal (100) to register manufacturing / production / production in a database (40) and requests matching with a manufacturing / production / production company.

[0076] That is, the manufacturing process service selection unit (101) of the user terminal (100) selects the manufacturing process service it needs from among various manufacturing process services provided by the artificial intelligence-based matching platform (500). In addition, the location guidance unit (102) provides location information where the user is located. In addition, the user requests a target quantity using the user terminal (100). Here, the target quantity refers to the target quantity of the manufactured / manufactured / produced product. The target quantity request unit (103) requests the target quantity according to the request of the user. In addition, the user sets a budget according to the manufactured / manufactured / produced product and the target quantity, and the budget set in this way is registered in the database (400) through the budget guidance unit (104).

[0077] Figure 3 shows the service items performed by the user terminal.

[0078] The demand terminal includes manufacturing services, expert services, quotation / order services, payment services, project management, viewer services, calendar services, AI recommendation services, notification services, chat services, chatbot services, email services, and evaluation services, and can perform requests for manufacturing / production / production, chats with suppliers and experts, etc.

[0079] In addition, suppliers possessing 3D printing, 3D scanning, mock-up, vacuum casting / vacuum forming, mold, injection, CNC machining, MCT machining, sheet metal, bending, metal laser, casting, extrusion, post-processing, post-treatment, surface finishing, electronic circuit, electronic component, wire harness, box manufacturing technology, etc. register the method by which they can manufacture / produce / produce in the database (400) using the supplier terminal (200).

[0080] That is, the supplier terminal (200) provides guidance on the manufacturing process technology it possesses among the various manufacturing / manufacturing technologies mentioned above in the manufacturing process technology guidance section (201). Furthermore, the personnel information section (202) provides information on personnel for the manufacturing process, and the equipment provision section (203) provides equipment for the manufacturing process. The company location information section (204) provides information on the supplier's company location.

[0081] As shown in FIG. 3, the supplier terminal (200) includes items such as quotation service, payment service, service management, viewer service, calendar service, AI recommendation service, notification service, chat service, chatbot service, and mail service, and can perform services such as chatting with users and experts regarding manufacturing / production / production.

[0082] Likewise, the expert terminal (300) provides expert knowledge regarding the manufacturing / production / production and registers it in the database (400).

[0083] That is, the expert uses the expert terminal (300) to register the specialized technology that he or she can provide among a series of methods related to product development and production / manufacturing / production, including product planning, product design, visual design, package design, mechanism design, mechanical design, mold design, structural analysis, circuit design, PCB Artwork, firmware, certification, quality verification, patent, utility model, PCT, trademark, design, and market consulting.

[0084] That is, the expert technology provision unit (301) of the expert terminal (300) provides the expert technology, and the personnel information unit (302) provides information on the expert personnel and personnel information for the manufacturing process. In addition, the equipment information unit (303) provides information on the equipment that the expert possesses or equipment information for manufacturing / production / processing. The company location information unit (304) provides information on the company where the expert is located.

[0085] As shown in Fig. 3, the expert terminal (300) includes consulting service, payment service, service management, viewer service, calendar service, AI recommendation service, notification service, chat service, chatbot service, and mail service items, and can perform services such as chatting with users and suppliers regarding manufacturing / production / production.

[0086] When the manufacturing / production / production request information of the demand terminal (100) and the manufacturing / production / production provision information of the supplier terminal (200) and the specialized knowledge on manufacturing / production / production of the expert terminal (300) are registered in the database (400), the artificial intelligence-based matching platform (500) refines and analyzes the manufacturing / production / production request information and manufacturing / production / production provision information stored in the database (400) and the specialized knowledge on manufacturing / production / production to quickly match service providers by reflecting the product production method and specialized information.

[0087] Here, the AI-based matching platform (500) can connect manufacturers with manufacturing technologies in different fields to a supplier network, providing a platform for interconnected access. It is desirable to analyze the database collected from each project using an AI algorithm to match the optimal manufacturer requested by the customer. The core of the AI-based matching service of the platform (500) is to connect customers in need of manufacturing with manufacturers and manufacturing experts willing to accept orders.

[0088] This AI-based matching platform (500), as illustrated in Figure 2, includes storage for storing files, file security functions, file service functions, and database data processing functions using a database manager. Furthermore, it performs project services, quotation services, expert services, manufacturing services, blog services, news services, evaluation services, and calendar service functions, thereby matching diverse services between users, suppliers, and experts. Furthermore, it provides chat services for users / suppliers / experts through chat and notification service functions, and notifies users, suppliers, and experts of any notifications when they occur through notification services. Furthermore, it provides search engine and AI recommendation service functions, facilitating a variety of searches. Furthermore, it provides payment service functions, enabling payments between users, suppliers, and experts. It also provides email services to users, suppliers, and experts through email service functions. Furthermore, it provides chatbot services between users, suppliers, and experts through chatbot services. It can also authenticate users, suppliers, and experts through authentication service functions.

[0089] The above search engine may include a collaborative matching engine, a big data analysis engine, a mediation management engine, a search engine, a performance management engine, and a demand forecasting engine, all powered by an artificial intelligence-based engine module. The search engine recommends search results selected by other users with similar keywords and presents information in order of the most viewed results. Furthermore, the collaborative matching engine analyzes businesses based on the basic information and activities of both demanders and suppliers. It also recommends and matches manufacturing companies, and consults with companies offering suggestions through the community to select collaboration partners and match them with manufacturing companies.

[0090] Specifically, the artificial intelligence-based matching platform (500) refines manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge regarding manufacturing / production / production provided by the database (400) through a preprocessing unit (510).

[0091] That is, the data filtering unit (511) of the preprocessing unit (510) filters manufacturing / manufacturing / production request information, manufacturing / manufacturing / production provision information, and specialized knowledge regarding manufacturing / manufacturing / production provided by the database (400). Here, the filtering removes unnecessary data in each piece of information, if any, and outputs only meaningful data such as manufacturing / manufacturing / production.

[0092] Next, the feature extraction unit (512) plays a role in generating a data set that can be used in an artificial intelligence-based matching algorithm from data filtered through the data filtering unit (511).

[0093] For the data set generated in this way, the vector encoding unit (513) converts the categorical variable into a binary vector value that can be processed in machine learning.

[0094] The formula for converting a data set into a binary vector is as shown in [Mathematical Formula 1] below.

[0095]

[0096] Here, the X and Y values ​​are the values ​​of the above data set. If one of the input values ​​is a color value of red, yellow, or blue, the input is a categorical variable and must be converted to binarization. That is, it is processed as a vector value such as red

[0100] , blue [0, 1], and yellow

[0001] .

[0097] When vector binarization processing is completed for the data set in this way, the recommendation list generation unit (520) analyzes the preprocessed refined information (vector binarization value) using an artificial intelligence algorithm and recommends a product production method and specialized information based on the manufacturing / production / production request information requested by the user.

[0098] For example, the similarity calculation unit (521) of the recommendation list generation unit (520) calculates the similarity using an artificial intelligence similarity algorithm based on the feature vector output from the preprocessing unit (510). That is, the supplier information and expert that most closely match the manufacturing / production / product information requested by the user and the target quantity and budget are extracted based on the similarity. Next, the weighting unit (522) assigns a weight to the similarity calculated by the similarity calculation unit (521) and generates a list of recommended service providers and a list of suggested quotations based on the results. That is, the similarity is weighted and the results are compared with scores assigned in advance for each service item of the supplier and expert to generate a list of recommendations for suppliers and experts who can produce the manufacturing / production / product requested by the user, and a list of suggested quotations. Here, it is preferable that the list of recommended suppliers and experts is not a single list, but rather a list of recommended suppliers and experts that are identical or close to each other based on the weighted scores. In addition, the list of suggested quotations also generates a list of multiple quotation suggestions that are most similar to the quotation generated through the weighting among various quotations.

[0099] In this way, when a list of service providers (recommended list of suppliers and experts) is recommended, the service provider recommendation unit (530) recommends service providers based on the list recommended by the recommended list generation unit (520). Here, the service provider recommendation can recommend service providers in order of high evaluation scores using evaluation information evaluated by existing users. In addition, the quotation proposal service recommendation unit (540) recommends proposed quotations based on the quotation proposal list recommended by the recommended list generation unit (520). The quotation proposal recommendations can be recommended in order of the lowest quotation cost.

[0100] According to the present invention described above, it is possible to help startups, small and medium-sized enterprises, etc., that do not have specialized personnel for manufacturing / production / production, to systematically and efficiently carry out the manufacturing / production / production of products.

[0101] Additionally, by creating a database of detailed information on users, suppliers, and experts, it is possible to quickly match service providers by reflecting the product production methods and specialized information required by users, suppliers, and experts through refinement and analysis.

[0102] Additionally, it can help startups, small and medium-sized enterprises, and small-scale manufacturers reduce the risks they face when conducting business due to manufacturing information, methods, and characteristics, and ensure they can receive stable customized manufacturing-related services.

[0103] Although the invention made by the present inventor has been specifically described according to the above embodiments, it is obvious to a person having ordinary skill in the art that the present invention is not limited to the above embodiments and can be modified in various ways without departing from the spirit thereof.

[0104] The present invention is applied to a technology that matches manufacturing collaboration companies based on artificial intelligence using corporate information.

Claims

1. Demand terminal requesting manufacturing / production / production; Supplier terminal providing the above manufacturing / production / production; Expert terminals providing expertise in the above manufacturing / production / production; A database that stores manufacturing / production / production request information of the above demand terminal, manufacturing / production / production provision information of the above supplier terminal, and specialized knowledge regarding manufacturing / production / production of the above expert terminal; and A manufacturing collaboration artificial intelligence matching service system based on corporate information, characterized by including an artificial intelligence-based matching platform that quickly matches service providers by reflecting product production methods and specialized information through refining and analyzing manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge related to manufacturing / production / production stored in the above database.

2. In claim 1, the user terminal, Manufacturing process service selection section for selecting manufacturing process services; Location guidance section providing location information for users; Target quantity request section requesting target quantity for manufacturing / production / production; A manufacturing collaboration artificial intelligence matching service system based on corporate information, characterized by including a budget guidance section that provides budget guidance based on the above target quantity.

3. In claim 1, the supplier terminal, A manufacturing collaboration AI matching service system based on corporate information, featuring manufacturing / production methods including 3D printing, 3D scanning, mock-up, vacuum casting / vacuum forming, molding, injection molding, CNC machining, MCT machining, sheet metal, bending, metal laser, casting, extrusion, post-processing, post-treatment, surface finishing, electronic circuits, electronic components, wire harnesses, and box manufacturing technologies.

4. In claim 1, the supplier terminal, Manufacturing Process Technology Guidance Department that provides guidance on manufacturing process technology; A staffing information department that provides information on staffing for manufacturing processes; Equipment provision department that provides equipment for manufacturing processes; A manufacturing collaboration artificial intelligence matching service system based on corporate information, characterized by including a company location guide that provides company location information.

5. In claim 1, the expert terminal, A manufacturing collaboration artificial intelligence matching service system based on corporate information that provides a series of methods related to product development and production / manufacturing / production, including product planning, product design, visual design, package design, mechanical design, mold design, structural analysis, circuit design, PCB artwork, firmware, certification, quality verification, patents, utility models, PCT, trademarks, design, and market consulting.

6. In claim 1, the expert terminal, The Professional Technology Provider Department provides professional technology held by experts; A staffing information desk that provides information on human resources for manufacturing processes; A facility information section that provides information on facilities for the above manufacturing process; A manufacturing collaboration artificial intelligence matching service system based on corporate information, characterized by including a company location guide that provides guidance on company locations.

7. In claim 1, the artificial intelligence-based matching platform, A preprocessing unit that refines manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge regarding manufacturing / production / production provided in the above database; A recommendation list generation unit that analyzes the refined information preprocessed in the above preprocessing unit using an artificial intelligence algorithm and recommends a product production method and specialized information based on the manufacturing / production / production request information requested by the user; A service provider recommendation unit that recommends service providers based on the list recommended in the above recommendation list generation unit; A manufacturing collaboration artificial intelligence matching service system based on corporate information, characterized in that it includes a quotation proposal service recommendation unit that recommends a proposed quotation based on a list of recommended quotation proposals from the above-mentioned recommendation list generation unit.

8. In claim 7, the preprocessing unit, A data filtering unit that filters manufacturing / production / production request information and manufacturing / production / production provision information and specialized knowledge regarding manufacturing / production / production provided in the above database; A feature extraction unit that extracts features from data filtered through the above data filtering unit; A manufacturing collaboration artificial intelligence matching service system based on corporate information, characterized in that it includes a vector encoding unit that vectorizes the features extracted from the above feature extraction unit.

9. In claim 7, the recommendation list generation unit, A similarity calculation unit that calculates similarity using an artificial intelligence similarity algorithm based on the feature vector output from the above preprocessing unit; A manufacturing collaboration artificial intelligence matching service system based on corporate information, characterized in that it includes a weighting unit that assigns weights to the similarity calculated in the above similarity calculation unit and generates and provides a list of recommended service providers and a list of proposed quotations based on the results.

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