Industrial chain business matching system for finance and tax service institution, application method and storage medium

Abstract

The invention discloses an industrial chain business matching system for a finance and tax service mechanism, an application method and a storage medium. The system comprises an information collection and storage module which comprises a collection module and a comprehensive information database; the supply and demand information analysis module identifies demand and supply information of a service object in an industrial chain, performs keyword extraction on data in the comprehensive information database, generates a keyword list about demand and supply, converts the keyword list into a standard description format, and forms a supply and demand information data set; the evaluation and screening module is used for analyzing the demand information, the supply information and the comprehensive information data associated with each service object, picking out the data of each service object meeting a preset condition and storing the data to form matchable industrial chain data; and the service matching module performs service matching automatically or according to the request. The invention further discloses an application method of the system and a storage medium. Through the technical scheme, more efficient industrial chain construction can be realized.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and more specifically, to an industrial chain business matching system, application method and storage medium for a financial and taxation service agency. Background Art

[0002] With the vigorous development of economic activities, professional financial and tax service agencies have become an indispensable type of enterprise in the development process of various enterprises. Generally, the main services of financial and tax service agencies include: agency accounting; tax planning and tax reporting; financial and tax consulting; financial advisors; financial diagnosis; financing services and other services related to business registration. These services together constitute the main business scope of financial and tax service agencies, aiming to help enterprises solve financial management and tax problems and ensure the compliance operation and healthy development of enterprises.

[0003] The clients of financial and tax service agencies usually include various enterprises and organizations that need external professional agencies to provide financial and tax services. These clients may come from different industries and fields, ranging in size from small startups to large multinational companies, and even non-profit organizations and government agencies. Among the corporate clients of the service objects, they all face the problem of building an industrial chain in their business development. The common challenge is that they cannot find suitable upstream and downstream partners in the industrial chain.

[0004] In the process of operation and development, it is of great significance for enterprises to build, maintain, operate and optimize their own industrial chain. This is especially true for some new start-ups or enterprises that want to further expand their operation and sales scale. However, due to information asymmetry, traditional industrial chain construction used to obtain appropriate upstream and downstream partner information through methods such as joining industry associations and exhibitions, using supply chain platforms, hiring consultants, customer recommendations, industry research, social media, and competitive product analysis.

[0005] In the context of rapid changes in supply chains and industrial chains during economic development, enterprises have an increasingly strong demand for efficient supply chain partners. However, traditional industrial chain construction methods have problems such as data fragmentation, low matching, and complex operations. Especially for small-scale enterprises with limited data, there are many obstacles in finding suitable partners. It cannot meet the needs of modern enterprises for rapid development and efficient economic operation. Therefore, there is a demand for new and more efficient industrial chain construction technology solutions. Summary of the invention

[0006] In order to solve or alleviate the above-mentioned problems, the present disclosure proposes an industrial chain business matching system, electronic device, storage medium and application method thereof for a financial and tax service agency.

[0007] According to one aspect of the present application, an industrial chain business matching system for a financial and tax service agency is proposed, the system comprising:

[0008] An information collection and storage module, which may include a collection module, the collection module collects internal data from the financial and taxation service agency and external data from outside the financial and taxation service agency, and includes a comprehensive information database for storing the acquired information data;

[0009] A supply and demand information analysis module, which identifies the demand and supply information of service objects in the industrial chain based on the data in the comprehensive information database, extracts keywords from the data of each service object in the comprehensive information database, generates a keyword list about demand and supply, converts the keyword list into a standard description format, and forms a supply and demand information data set, which stores the demand information and supply information of each service object in a standard format;

[0010] An evaluation and screening module, which analyzes the demand information, supply information and comprehensive information data associated with each service object, adds industrial chain attribute information to the stored data of each service object, performs an attribute matching algorithm or a semantic similarity calculation matching degree on the industrial chain attribute information data of each service object, selects the data of each service object that meets the predetermined conditions and stores them to form matchable industrial chain data;

[0011] A business matching module, which automatically or upon request performs business matching for service objects based on the matchable industrial chain data, sends a chain formation permission request to the service objects recorded in the matchable industrial chain data, and completes business matching when the chain formation permission request forms a match between demand and supply information between different service objects.

[0012] Preferably, in one embodiment of the industrial chain business matchmaking system according to the disclosed content, the business matchmaking module also includes a cooperation plan design submodule, which is used to design a specific cooperation plan; the cooperation plan design submodule includes: a letter of intent for cooperation generation submodule, which is used to generate a letter of intent for cooperation; a company introduction generation submodule, which is used to generate a company introduction; and a cooperation plan generation submodule, which is used to generate a cooperation plan.

[0013] Preferably, the industrial chain business matchmaking system also includes: a monitoring and feedback optimization module for monitoring the performance of partners and providing optimization suggestions.

[0014] Further preferably, the industrial chain business matching system also includes: an information security and compliance management module, which is used to protect the security and privacy of customer data and comply with relevant laws and regulations.

[0015] In the above-mentioned industrial chain business matching system, the industrial chain attribute information data may include user feature data, product feature data and annotation data.

[0016] Preferably, in the industrial chain business matchmaking system according to the contents of the present disclosure, each service object shares and exchanges the data and information it holds using a federated learning model.

[0017] Further preferably, the business matching module draws a knowledge graph for the service objects in the matchable industrial chain data based on the data of the comprehensive information database.

[0018] In a specific embodiment, the collection module of the information collection and storage module may include: a financial and tax data collection submodule, which is used to collect the company's financial statements and tax declaration data; an industrial and commercial data collection submodule, which is used to collect the company's registration information and annual report information; a contract data collection submodule, which is used to collect the contract texts and execution status signed by the company.

[0019] In a specific implementation, the supply and demand information analysis module may include: a keyword extraction submodule, which uses NLP technology to extract a keyword list of demand and supply.

[0020] Optionally, in a specific embodiment, the evaluation and screening module may include: a matching algorithm submodule for matching enterprise demand with supply of potential partners; a physical location evaluation submodule for evaluating the impact of the partner's geographical location on logistics costs and time; and a cost-effectiveness evaluation submodule for evaluating the price competitiveness and logistics costs of partners.

[0021] According to another aspect of the present disclosure, a method for applying the industrial chain business matching system in each of the above-mentioned embodiments in a financial and tax service agency is proposed, and the method includes the following steps:

[0022] Step 1: Information collection and storage, collect internal and external data from financial and tax service agencies, and store the obtained information data in a comprehensive information database; Step 2: Supply and demand information analysis, identify the demand and supply information of service objects in the industrial chain based on the data in the comprehensive information database; Step 3: Evaluation and screening, analyze the demand information, supply information and comprehensive information data associated with each service object, select the data of service objects that meet the predetermined conditions and store them to form matchable industrial chain data; Step 4: Business matching: Based on the matchable industrial chain data, automatically or upon request, match business for service objects, and send chain license requests to service objects recorded in the matchable industrial chain data; when the chain license request forms a demand and supply information match between different service objects, the business matching is completed.

[0023] According to another aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program of the aforementioned method is stored, and the program is designed to execute the aforementioned steps on a computer.

[0024] By applying the above technical solution, the beneficial effects that can be obtained are at least:

[0025] Ability to fully activate and link economies while ensuring privacy;

[0026] It can make full use of the advantages of corporate taxation service agencies, such as numerous corporate clients, rich industry coverage, complete financial data, and familiarity with enterprises, to build an industrial chain for service objects. Through this technical solution, it can provide raw materials with better quality and lower prices, find more honest and reliable partners, and carry out product marketing with precise needs.

[0027] In addition, by applying the technical solution in this application, it is also possible to: monitor the operation of the entire industrial chain and collect data in real time; conduct multi-dimensional analysis and evaluate each link in the industrial chain; implement a full-chain early warning mechanism to promptly identify and deal with the risks of abnormal situations; integrate early warning feedback and closed-loop management mechanisms to ensure that abnormal situations are resolved quickly and can be continuously improved through closed-loop management; and provide information security assurance and compliance maintenance functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions are described in detail with reference to the accompanying drawings in combination with possible specific implementation methods. The accompanying drawings are used to provide a further understanding of the present application, so that other features, purposes and advantages of the present application become more obvious. The illustrative embodiments, drawings and descriptions of the present application are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings:

[0029] Figure 1 A schematic diagram showing the composition of an industrial chain business matching system for a finance and taxation service agency according to a specific implementation of the present application is shown;

[0030] Figure 2 A method for applying the industrial chain business matching system in the present application in a financial and taxation service agency is shown in a specific implementation of the present application. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, technical details and exemplary embodiments of possible technical implementations of the present disclosure are further described in detail.

[0032] It should be clear that the embodiments described in this disclosure are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0033] It should be noted that the sequence numbers of steps or parts in the terms in the specification and claims of the present application and the above-mentioned drawings, etc., are used to distinguish similar objects, unless otherwise specified, and need not be used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged in appropriate circumstances, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0034] In addition, the terms "installed", "set", "provided with", "connected", "connected", "connected", "communicated", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be an internal communication between two devices, elements or components.

[0035] For those of ordinary skill in the art, the specific meanings of the terms used in this application can be understood according to the specific circumstances. It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The explanations and descriptions of terms and nouns in this application are only to make it easier for those skilled in the art to understand this application, and are based on the understanding of the conventional technology in this field. Unless otherwise specified or there is a special need from the technical level, it does not mean that the description and explanation in this application exceed or are less than the scope of these terms conventionally understood and defined for those of ordinary skill in the art.

[0036] According to one aspect of the present application, an industrial chain business matching system for a financial and taxation service agency is proposed.

[0037] To facilitate understanding, in an environment such as one that is mainly targeted at enterprises, the terms or expressions used in this article are explained and described as follows. Generally speaking:

[0038] Industrial chain: refers to the entire process of a product from raw material procurement, production and manufacturing, distribution and sales to final consumption. It includes the relationship and interaction between each link, covering production, transportation, sales and after-sales service. The industrial chain is usually composed of multiple enterprises, each of which plays a different role in the chain.

[0039] Financial and tax service institutions: refers to professional institutions that provide corporate finance and tax-related services. These financial and tax service institutions usually provide a series of financial and tax consulting, tax planning, financial management, auditing, tax declaration, agency accounting and other services to service objects, such as enterprises, to help service objects optimize financial and tax structures, comply with tax laws, reduce tax risks, and improve financial management efficiency.

[0040] Clients (service objects) of financial and tax service agencies: usually refer to various enterprises and organizations that need external professional agencies to provide financial and tax services. These clients may come from different industries and fields, ranging in size from small startups to large multinational companies, and even non-profit organizations and government agencies. For example, these clients can be: small and medium-sized enterprises (SMEs) including startups, large enterprises, multinational companies, non-profit organizations, government agencies and public sectors, and high net worth individuals.

[0041] The main needs that financial and tax service agencies provide to these corporate clients include but are not limited to:

[0042] Tax compliance: ensure timely and accurate tax declaration to avoid legal risks;

[0043] Financial management: Provide financial planning, cost control, budget management and other services to improve the efficiency of corporate financial operations;

[0044] Audit and Compliance: Conduct independent audits of corporate financial statements to ensure compliance and accuracy;

[0045] Tax planning: legally reduce tax burden through reasonable tax planning; and

[0046] Risk Management: Identify and manage financial and tax risks to protect corporate assets.

[0047] According to the production process, enterprises in the industrial chain can also be generally divided into upstream, midstream and downstream. Upstream enterprises mainly provide raw materials or parts, midstream enterprises carry out processing and manufacturing, and downstream enterprises are responsible for product sales and services. This relationship reflects the structural relationship between enterprises based on supply and demand, that is, upstream enterprises provide raw materials or products to downstream enterprises, and downstream enterprises are customers of upstream enterprises.

[0048] In some industrial chains, there is a core enterprise, the "chain leader enterprise", which has a strong influence in resource allocation, business development, etc. Other participating enterprises are called "chain-affiliated enterprises", which play a supporting role in the industrial chain.

[0049] There is a division of labor and cooperation between enterprises in the industrial chain, which is not only reflected in the production process, but also in technological innovation and market development. The positions of different enterprises in the industrial chain determine their responsibilities and functions, thus forming a dynamic cooperative relationship.

[0050] The industrial chain not only involves the economic activities of enterprises, but also their spatial layout and logical relationship. Enterprises in the industrial chain work together to complete the value-added process from raw materials to final products through division of labor and cooperation.

[0051] The industrial chain can be divided in many ways. For example, according to its value creation process, it can be divided into seven major links: raw material supply, basic processing and manufacturing, high value-added manufacturing, branding and sales, after-sales service and customer support, recycling and reuse. Specifically:

[0052] Raw material supply: The members in this link are the starting point of the industrial chain of the value creation process, involving the exploitation of natural resources, the production and supply of basic raw materials, such as minerals, agricultural products, chemical raw materials, etc. Most of the members in this link are raw material suppliers, which are at the upstream of the industrial chain and directly affect the cost and quality of subsequent production and manufacturing links.

[0053] Basic processing and manufacturing: Members in this link transform raw materials into intermediate products or primary industrial products through processes such as processing, smelting, and primary manufacturing. This stage includes basic industrial links such as mechanical processing and chemical processing. Members in this link usually provide semi-finished products or parts required for production for downstream enterprises, including manufacturers of intermediate products or basic industrial products.

[0054] High value-added manufacturing: Members in this link further process intermediate products into end products with higher technology content and added value, such as electronic products, automobiles, medical equipment, etc. This stage includes precision machining, assembly, testing and other processes. Members in this link are positioned as end product manufacturers, focusing on technological innovation and product quality improvement, and directly facing the consumer market or B2B (business to business) market.

[0055] Brand and sales: This link involves product marketing, brand building, channel sales, etc., so that the product can enter the final consumer market or distribution channel. The company's brand management, sales channel development and customer service are all key links. Members of this link include brand owners or distributors, who are responsible for product market positioning, brand promotion and sales strategy, and directly face end consumers or commercial customers.

[0056] Logistics and supply chain management: Members in this link ensure the efficient transportation and storage of products from the production site to the sales terminal, involving warehousing, distribution, supply chain optimization and other links. Modern logistics technologies such as cold chain logistics and intelligent warehousing also fall into this category. Member companies in this link are positioned as logistics service providers or supply chain management companies, optimizing the efficiency and cost of the entire industry chain to ensure that products enter the market quickly and efficiently.

[0057] After-sales service and customer support: Members in this link provide maintenance, support, and repair services after product sales to ensure customer satisfaction and brand loyalty, including installation services, product repairs, customer training, etc. Members are positioned as after-sales service companies or customer support teams, providing customers with comprehensive product use support and collecting customer feedback to improve products and services.

[0058] Recycling and reuse: The end of the industrial chain involves the recycling, reuse and remanufacturing of waste products to achieve resource recycling and environmental protection. This link includes resource recycling, waste treatment, remanufacturing, etc. The members of this link are recycling companies or remanufacturing companies, focusing on the resource treatment of waste and the recycling of products to promote sustainable development.

[0059] The above links in value creation constitute a complete industrial chain. Each link is closely related to each other, forming a complete value creation system. According to the industry in which the enterprise is located and its role in the industrial chain, the enterprise's positioning can be clarified in these steps, the enterprise's core competitiveness can be identified, and corresponding strategies can be formulated.

[0060] Traditional industrial chain construction usually obtains "appropriate" upstream and downstream partner information through methods such as joining industry associations and exhibitions, using supply chain platforms, hiring consultants, customer recommendations, industry research, social media, and competitive product analysis. These methods are time-consuming, labor-intensive, and have a low matching degree. This situation has greatly restricted the business development of enterprises.

[0061] The “suitability” here does not only mean that the enterprise needs to be able to find a partner willing to cooperate, but also involves the matching of multiple key factors, such as the following factors:

[0062] Physical location: The geographical location of the partner directly affects the logistics cost and time. Partners that are too far away may increase transportation costs and even affect the timely delivery of products;

[0063] Price factors: whether the pricing of upstream and downstream enterprises is reasonable and within the enterprise's budget. Too high a price may lead to increased costs, while too low a price may reflect insufficient quality or service;

[0064] Product fit: whether the company's needs and the products or services of potential partners are well matched. Product mismatch can lead to problems in subsequent cooperation, such as incompatible production lines or inconsistent product specifications;

[0065] Cost control: When selecting industry chain partners, you need to consider how to control costs to the greatest extent possible, including procurement costs, operating costs, and potential additional costs;

[0066] Quality standards: whether the quality of the partner's products or services meets the company's standards. If the quality does not meet the standards, it will not only affect the company's production, but may also damage the company's brand reputation;

[0067] Security compliance: Whether the partner's operations comply with security standards, especially in key areas such as data security and production safety. Any negligence may have serious consequences.

[0068] The above-mentioned enterprises face the six major problems mentioned above when building the industrial chain, namely physical location, price factors, product matching, cost control, quality standards, safety compliance, etc. It is very difficult to complete the construction of the industrial chain relying solely on the company's own resources and capabilities.

[0069] Compared with their service objects, taxation service agencies have unique advantages in building the industrial chain. When there are enough customer groups, especially for medium-sized and large-scale taxation service agencies with multiple branches or subsidiaries, the number of customers they serve is huge, and the types of customers are distributed in all links of the industrial chain, spanning all walks of life, and they have a natural advantage in participating in building the industrial chain. On the premise of ensuring that customer privacy data is not leaked and that the data is compliant and legal, taxation service agencies can also build a preliminary industrial chain based on regulatory licenses and customer authorization to disclose data.

[0070] Preferably, in an embodiment of the industrial chain business matching system for a financial and tax service institution according to the present disclosure, as Figure 1 As shown, the industry chain business matching system for financial and tax service institutions includes: an information collection and storage module 100, a supply and demand information analysis module 200, an evaluation and screening module 300 and a business matching module 400.

[0071] See also Figure 1 As shown, the information collection and storage module 100 includes a collection module, which collects internal data from the financial and tax service agency and external data from outside the corporate financial and tax service agency, and includes a comprehensive information database for storing the obtained information data.

[0072] The supply and demand information analysis module 200 identifies the demand and supply information of the service objects in the industrial chain based on the collected data, extracts keywords from the data of each service object in the comprehensive information database, generates a keyword list about demand and supply, converts the keyword list into a standard description format, and forms a supply and demand information data set, which stores the demand information and supply information of each service object in a standard format.

[0073] The evaluation and screening module 300 analyzes the supply and demand information data and comprehensive information data associated with each service object, adds the industrial chain main attribute information data and the industrial chain sub-attribute information data to the stored data of each service object, performs attribute matching algorithm or semantic similarity calculation matching degree on the industrial chain main attribute information data and the industrial chain sub-attribute information data, and forms matchable industrial chain data, which contains service objects that meet the matching conditions.

[0074] The business matching module 400 automatically or upon request matches businesses for service objects based on the matchable industry chain data, and sends a chaining permission request to the service objects recorded in the matchable industry chain data. When the chaining permission request forms a match between demand and supply information between different service objects, the business matching is completed.

[0075] The comprehensive information database can also store more data information generated in the process of business matching, such as storing constructed business relationship data, and / or storing knowledge graphs drawn for service objects in the matchable industrial chain data, etc.

[0076] Taking the perspective of financial and tax service agencies as an example, in the business matching system of the industrial chain, financial and tax service agencies use the customer financial and tax data they have to comprehensively collect and organize the business needs, cost structure, geographical location, procurement and sales conditions of the enterprises, laying the foundation for subsequent analysis.

[0077] For example, the internal data collected by the collection module may include service data collected during the service process of the financial and tax service agency. In the process of providing financial and tax services, accounting and tax reporting, auditing, industry and commerce, contract review and other services to service objects, the financial and tax service agency can access a large amount of relevant data of the service objects, and these data can be collected into the industrial chain business matching system after obtaining authorization. Exemplarily, under the premise of meeting the collection conditions (such as privacy protection and data authorization conditions), the specific data categories of the internal data that can be collected include financial data, tax data, audit data, industrial and commercial data, contract data, human resources data, business data and legal compliance data.

[0078] These financial and management data of service objects such as enterprises cover multiple key areas, including accounting, taxation, auditing, industry and commerce, contracts, human resources, operations and legal compliance. Generally, accounting data includes income, expenditure, profit, cash flow and balance sheet, as well as bank statements. Tax data involves the declaration and payment records of various types of taxes, the use of tax incentives, and tax audit records. Audit data includes audit reports and problems found during the audit process and their rectification. Industrial and commercial data records the company's registration information, annual reports, shareholders and industrial and commercial changes. Contract data includes contract text, execution status and audit records. Human resources data involves employee salaries, social security payments and personnel structure. Operational data is generated by the system based on accounting data, including procurement, sales, inventory and production information. Legal compliance data records the company's compliance review and dispute resolution. These data together constitute a comprehensive view of the company's operations and management, which is crucial for the company's decision-making and compliance.

[0079] The use and collection of the above data need to be collected and used under the premise of complying with laws, regulations and financial system management norms. For financial and tax service agencies, the way to obtain these data has advantages. Under the condition of obtaining authorization, when the service personnel of the financial and tax service agency provide services to the client enterprises, the above data can automatically enter the industrial chain business matching system, or can also enter the industrial chain business matching system after data processing such as desensitization processing and elimination of privacy. Such as: electronic invoice import system, accountant input voucher, employee salary table in the accounting process, operating data in the financial statement generated by the system, system generated tax return form, customer business information in the customer management system, contract information entered into the system, and audit report entered into the system. The data processing for desensitization processing and elimination of privacy can include retaining the privacy of the original data, referring to the predetermined rating and evaluation system, and calculating the level and evaluation score corresponding to each information according to the original data, and then adding the obtained level and evaluation score to the data information of the service object, for example, the level information and / or evaluation score can be added as the main attribute information data of the industrial chain and the sub-attribute information data of the industrial chain.

[0080] As mentioned above, in order to achieve industrial chain matching, the collection module can collect external data from outside the enterprise finance and taxation service agencies. For example, it may include public information obtained on the Internet through the enterprise social unified credit code and enterprise name. This information includes but is not limited to: business registration details, such as enterprise registration number, name, legal representative, type, registered capital, date of establishment, address, business scope and status; shareholder information, including shareholder name, contribution ratio and change record; qualification certificates, such as industry licenses and corporate honors; judicial risk information, including legal proceedings, dishonesty information, execution information and judicial auctions; intellectual property information, covering trademarks, patents and copyrights; bidding information, including winning and bidding records; administrative penalty information, such as penalty records and details; and environmental protection information, including pollution discharge permits, environmental protection penalty records and environmental monitoring data. These data can be obtained from public management websites, public information platform service providers and other platforms through automatic collection technology, such as crawler technology, to provide data support for industrial chain matching.

[0081] After establishing the basic information of the service objects (service enterprises), the above data can use the unit name and unit unified code as key information, regularly collect relevant public information from various public information platforms, and store it in the comprehensive information database.

[0082] The supply and demand information analysis module identifies the specific needs of enterprises when building industrial chains through data analysis, including product types, quality requirements, cost control, geographical location preferences, etc. Based on these needs, potential upstream and downstream partners are screened.

[0083] The supply and demand information analysis module identifies the demand and supply information of service objects in the industrial chain based on the data in the comprehensive information database, extracts keywords from the data of each service object in the comprehensive information database, and generates a keyword list about demand and supply.

[0084] First, the company's data is classified and sorted based on the company's existing financial and tax information, industrial and commercial information, supply chain information, etc. The purpose of data classification is to manage and analyze data more effectively, such as dividing data into procurement data, sales data, production data, etc.

[0085] The supply and demand information analysis module analyzes and extracts the demand and supply of service objects. Demand extraction involves analyzing raw material demand from procurement data, identifying production equipment and technical service demand from production plans, and evaluating inventory levels from inventory data to determine replenishment needs. Supply extraction includes determining available products and services from sales data, understanding inventory levels from inventory data to evaluate supply capabilities, and analyzing production capabilities from production data to determine the types of products or services that can be provided.

[0086] Next, natural language processing (NLP) technology is used to extract keywords from the extracted demand and supply data to generate a keyword list. These keywords can be converted into a standard description format for subsequent matching. The standard description format includes, for example, product name, specification model, quantity unit, quality requirements, delivery time, etc.

[0087] As an embodiment, the following Table 1 and Table 2 respectively show information data after the supply and demand information analysis module extracts and converts the data into a standard description format in one example.

[0088] Table 1 shows the demand description format; Table 2 shows the supply description format.

[0089] Table 1 Requirements description format:

[0090] {"Requirement Type":"Raw Materials / Equipment / Technical Services / ...","Product Name":"XXXX","Specification Model":"YYYY","Quantity":"ZZZ","Quality Requirements":"AAA","Delivery Time":"BBB","Other Requirements":"CCC"}

[0091] Table 1

[0092]

[0093] Table 2:

[0094] Supply Description Format:

[0095] {"Supply Type":"Product / Service / Technology Output / ...","Product Name":"XXXX","

[0096] Specifications":"YYYY","Stock Quantity":"ZZZ","Quality Grade":"AAA","Delivery Cycle":"BBB","Price":"CCC"}

[0097]

[0098] The evaluation and screening module analyzes the demand information, supply information and comprehensive information data associated with each service object, screens out potential partners, and then further evaluates based on industry chain attribute information, such as physical location, price, product matching, cost, quality and safety, to determine the most suitable list of upstream and downstream companies.

[0099] In the evaluation and screening module, the matching of the industrial chain attributes of each service object is a key link, which involves comprehensive considerations of multiple aspects to ensure the selection of the most suitable partner. Taking the enterprise as the object of investigation, the service object is judged in combination with the industrial chain attributes. These conditions include: physical location, price, product matching, cost control, quality standards, safety compliance, etc., that is, the judgment method of whether the enterprise meets the conditions includes:

[0100] Judgment method based on physical location: Enterprises use geographic information systems (GIS) to obtain geographic location data and calculate the transportation distance, time and cost between suppliers. Judgment criteria include whether the transportation distance is short, whether the logistics cost is acceptable, and whether the transportation time meets production needs.

[0101] For example, the distance between Company A and Supplier B is 500 kilometers, the transportation cost is 100 yuan per ton, and the transportation time is 1 day. If it is within the acceptable range of Company A, then B is a possible cooperative supplier.

[0102] If the distance between Company C and Supplier D is 3,000 kilometers, the transportation cost is 500 yuan per ton, and the transportation time is 5 days, which exceeds Company C's cost control and time requirements, then D is an uncooperative supplier.

[0103] Price determination method: The company obtains the ex-factory price of the upstream supplier's products, and adds transportation costs, production and operation costs, and marketing costs to calculate the company's product ex-factory price. At the same time, the average market price is obtained, and the relationship between the company's product ex-factory price and the market average price is compared.

[0104] For example:

[0105] If our ex-factory price is lower than or equal to the average market price, we can cooperate; if it is higher than the average market price, we cannot cooperate. Judgment criteria:

[0106] When our company's ex-factory price is ≤ the average market price, it is determined that cooperation is possible.

[0107] When our company's ex-factory price is greater than the average market price, we are unable to cooperate with upstream suppliers.

[0108] For downstream demand-side companies, if the average purchase price of their products is ≥ our ex-factory price + freight, we will be considered to be able to cooperate; otherwise, we will not be able to cooperate.

[0109] Example:

[0110] If the ex-factory price of our company's products is 100 yuan and the average market selling price is 120 yuan, then our company can use the supplier's supply chain.

[0111] If the average purchase price of the downstream demander E's products is 90 yuan, and our ex-factory price plus freight is 100 yuan, we cannot form a supply chain with E.

[0112] Method for judging product matching: Enterprises extract key attributes of products and needs, such as product type, specification model, quality requirements, etc., and calculate matching through attribute matching algorithm or semantic similarity.

[0113] For example, if the key attributes of the products are completely matched or the matching degree exceeds the predetermined degree (such as ≥80%), cooperation is possible; if the matching degree is lower than the predetermined degree (such as <80%), cooperation is not possible.

[0114] Cost control judgment method: The enterprise conducts a full supply chain cost analysis, including purchase price, transportation cost, storage cost, inventory holding cost, etc., to calculate the total cost. Analyze bulk purchases and calculate the discount and cost savings of bulk purchases. If the total cost is lower than the enterprise's budget or cost control target, cooperation is possible; if it is higher than the enterprise's cost control target, cooperation is not possible.

[0115] Example:

[0116] The total budget cost of Enterprise I is 1 million yuan, and the total cost of purchasing through Supplier J is 900,000 yuan, so cooperation is possible.

[0117] If the total cost of supplier K is 1.2 million yuan, which exceeds the budget, cooperation will be impossible.

[0118] Method for judging quality standards: The company reviews the supplier's quality certification (such as ISO certification) and analyzes its historical quality records, including return rates, customer feedback, etc. Set up a quality scoring model to score suppliers. If the supplier's quality score is higher than the set minimum standard (such as 80 points) and meets the company's quality certification requirements, cooperation can be achieved; if it is lower than the minimum standard or does not meet the quality certification requirements, cooperation cannot be achieved.

[0119] Example:

[0120] Supplier L has ISO9001 certification, a historical return rate of less than 1%, and a quality score of 85 points, which meets the requirements and can be cooperated with.

[0121] If supplier M does not have relevant quality certification, has a high historical return rate, and has a quality score of 60 points, then we will not be able to cooperate with it.

[0122] Methods for judging safety compliance: Enterprises check the compliance of suppliers and demanders, including whether they comply with relevant laws and regulations and whether there are any violations. Conduct supply chain risk assessments, taking into account the supplier's financial status, operational capabilities, market reputation, etc.

[0123] If the supplier and demander have no major violation records, and their compliance has passed the review and their risk assessment score is high, they can cooperate; if there are major violation records or the compliance review fails, they cannot cooperate.

[0124] Example:

[0125] Supplier N has no major violation record in the past three years, has passed the environmental protection and labor law compliance review, and has a risk assessment score of 90 points, so it is suitable for cooperation.

[0126] If supplier O has been fined multiple times for environmental issues in the past year and has failed the compliance review, we will not be able to cooperate with it.

[0127] Multi-factor comprehensive judgment method: The enterprise considers the above factors comprehensively and uses a multi-factor decision-making model (such as the analytic hierarchy process AHP) to calculate the comprehensive score according to the enterprise's priorities and strategic goals. If the comprehensive score reaches or exceeds the predetermined threshold (such as ≥70 points), cooperation is possible; if it is lower than the predetermined threshold, cooperation is not possible.

[0128] For example: If supplier P scores 75 points in total in the rating of various factors, which exceeds the threshold of 70 points, cooperation is possible.

[0129] If the supplier's total Q score is 60 points, which is lower than the threshold, cooperation will not be possible.

[0130] Judgment of cooperation with new suppliers: The enterprise conducts preliminary screening of new suppliers and requires them to provide detailed product information, price, quality certification, compliance certification, etc. The same evaluation criteria are used for evaluation, with particular attention paid to price, quality, compliance and supplier stability. If the indicators of the new supplier meet the basic requirements of the enterprise and perform well after a small-scale trial cooperation, then the expansion of cooperation can be considered; if some key indicators do not meet the requirements, it needs to be carefully evaluated and may be judged as temporarily non-cooperative.

[0131] For example: New supplier R provides a reasonable quotation, has complete quality certifications, and performs well after trial cooperation, so we can consider expanding cooperation.

[0132] The new supplier S quoted too high a price and did not have sufficient quality assurance. After the trial cooperation, it performed poorly and was judged to be uncooperative.

[0133] When there are multiple suitable companies at a node in the industrial chain, the company needs to evaluate the data of these node companies and select the most suitable partners. The establishment of the evaluation model includes factors such as supply and demand matching, cost-effectiveness, quality and compliance, security and stability, and strategic fit. The screening method includes data collection and standardization, scoring system, weighting, screening and sorting. Through this process, companies can choose the most suitable partners, which brings advantages such as cost advantages, quality advantages, security and stability, and strategic fit, effectively improving the company's market competitiveness and operational efficiency.

[0134] In a specific embodiment, the partner screening and evaluation performed by the evaluation and screening module includes establishing an evaluation model and performing screening according to the evaluation conditions based on the evaluation model.

[0135] For example, when establishing an evaluation model, the evaluation factors that need to be considered include:

[0136] Supply and demand matching: evaluates the matching degree between the specifications, quality, performance, etc. of products or services and the demand, and whether the supplier's production capacity can meet the needs of the enterprise and whether it can provide stable supply. The weight is 30%.

[0137] Cost-effectiveness: Evaluate whether the supplier's price is competitive, whether it is within the budget, and the transportation cost from the supplier to the enterprise. The weight is 25%.

[0138] Quality and Compliance: Assess whether the supplier has relevant quality certifications, whether the product quality meets the company's requirements, and whether the supplier's production and operations comply with environmental protection, legal and other compliance requirements. The weight is 20%.

[0139] Security and stability: assess whether the supplier's financial situation is stable, whether there is a risk of bankruptcy or poor management, and the supplier's historical cooperation record. The weight is 15%.

[0140] Strategic fit: evaluates whether the supplier is willing to establish a long-term cooperative relationship, whether it is in line with the company's development strategy, and whether the supplier's technological innovation capabilities can support the company's future development needs. The weight is 10%.

[0141] Based on the evaluation model, we can screen out service objects whose industrial chain attributes meet the requirements. In this example, we can take the following steps to screen out the most suitable partners:

[0142] Data collection and standardization: Collect relevant data from each candidate company, including information such as supply and demand matching, price, quality certification, financial status, etc., and standardize the data so that various indicators can be compared on the same scale during the evaluation.

[0143] Scoring system: Set scoring criteria for each factor, such as a full score of 100 for supply-demand matching, and score according to the matching situation. Each candidate company will receive a total score based on its performance on each factor.

[0144] Weighting: Use the weights in the evaluation model to weight the scores of each factor and calculate the weighted total score of the candidate company.

[0145] Screening and sorting: Sort candidate companies by weighted total scores and select the company with the highest score as the preferred partner. If the scores are similar, other qualitative factors such as corporate culture and management willingness to cooperate can be considered for further screening.

[0146] In an exemplary embodiment, suppose we have three candidate companies C1, C2, and C3 in the high value-added manufacturing link for company E to choose as partners. The following is the evaluation and screening process:

[0147] Collect data:

[0148] C1: Matching score 80, price 70, logistics cost 80, quality certification 90, compliance 85, financial stability 75, historical performance 80, and strategic fit 70.

[0149] C2: Matching score 90, price 75, logistics cost 75, quality certification 85, compliance 80, financial stability 85, historical performance 90, and strategic fit 85.

[0150] C3: Matching score 85, price 65, logistics cost 85, quality certification 95, compliance 90, financial stability 70, historical performance 85, and strategic fit 75.

[0151] Normalization and Scoring:

[0152] The above scores are standardized to ensure that the full score of each scoring item is 100 points.

[0153] Weighted calculation:

[0154] C1 weighted total score = 800.3 + 700.25 + 850.2 + 750.15 + 700.1 = 78 points

[0155] C2 weighted total score = 900.3 + 750.25 + 850.2 + 850.15 + 850.1 = 84.5 points C3 weighted total score = 850.3 + 650.25 + 900.2 + 700.15 + 750.1 = 79.5 points Screening and sorting:

[0156] According to the weighted total score, C2 has the highest score and is the most suitable partner for Enterprise E, followed by C3, and C1 is the third choice.

[0157] Advantages after industrial chain screening:

[0158] Through the evaluation model and screening method, Enterprise E selected the most suitable partner C2, which brought the following advantages:

[0159] Cost advantage: C2's price is reasonable, and the logistics cost is controllable, with the best overall cost-effectiveness.

[0160] Quality advantage: C2 has high-quality product certification and historical performance, ensuring that product quality meets or exceeds the requirements of Enterprise E.

[0161] Security and stability: C2 has a stable financial situation, good historical performance, low cooperation risk, and can ensure the continuity and security of the supply chain.

[0162] Strategic fit: C2 is aligned with the strategic goals of Enterprise E, has the potential for long-term cooperation, and supports the future development needs of the enterprise.

[0163] Through this process, Enterprise E's choice of partners in the industrial chain is more scientific and reasonable, which can effectively improve the company's market competitiveness and operational efficiency.

[0164] After the screening is completed, the data of each service object that meets the predetermined conditions can be selected and stored to form matchable industrial chain data.

[0165] After completing the evaluation and screening, the business matching module automatically or upon request matches the business for the service object based on the matchable industrial chain data. In the industrial chain business matching system according to this application, an intelligent recommendation system is constructed to provide the best upstream and downstream partner recommendations for the enterprise based on the analysis results. The system can dynamically update and optimize the recommended content to adapt to market changes and adjustments to corporate needs.

[0166] In addition, the business matchmaking module may also include a cooperation plan design submodule for designing a specific cooperation plan; the cooperation plan design submodule includes: a cooperation letter of intent generation submodule for generating a cooperation letter of intent; a company introduction generation submodule for generating a company introduction; and a cooperation plan generation submodule for generating a cooperation plan. Based on the screened list of partners, a specific cooperation plan can be designed, including cooperation model, contract terms, logistics arrangements, quality control, etc., to ensure the feasibility and stability of the cooperation.

[0167] Preferably, the industrial chain business matchmaking system also includes: a monitoring and feedback optimization module for monitoring the performance of partners and providing optimization suggestions.

[0168] Further preferably, the industrial chain business matching system also includes: an information security and compliance management module, which is used to protect the security and privacy of customer data and comply with relevant laws and regulations.

[0169] In the above-mentioned industrial chain business matching system, the industrial chain attribute information data may include user feature data, product feature data and annotation data.

[0170] Preferably, in the industrial chain business matchmaking system according to the contents of the present disclosure, each service object shares and exchanges the data and information it holds using a federated learning model.

[0171] Further preferably, the business matching module draws a knowledge graph for the service objects in the matchable industrial chain data based on the data of the comprehensive information database.

[0172] In a specific embodiment, the collection module of the information collection and storage module may include: a financial and tax data collection submodule, which is used to collect the company's financial statements and tax declaration data; an industrial and commercial data collection submodule, which is used to collect the company's registration information and annual report information; a contract data collection submodule, which is used to collect the contract texts and execution status signed by the company.

[0173] In a specific implementation, the supply and demand information analysis module may include: a keyword extraction submodule, which uses NLP (Natural Language Processing) technology to extract a keyword list of demand and supply.

[0174] Optionally, in a specific embodiment, the evaluation and screening module may include: a matching algorithm submodule for matching enterprise demand with supply of potential partners; a physical location evaluation submodule for evaluating the impact of the partner's geographical location on logistics costs and time; and a cost-effectiveness evaluation submodule for evaluating the price competitiveness and logistics costs of partners.

[0175] In a specific implementation, the business matching module and the cooperation plan design submodule therein can automatically build and recommend the most suitable industrial chain partners for the service objects of the system. The core functions of the business matching module include automatically matching the industrial chain construction for enterprises that have not yet built a complete industrial chain, and providing customized partner recommendations based on the financial and operational data of the enterprise.

[0176] Automatic industrial chain construction:

[0177] The industrial chain business matching system will regularly scan all enterprises in the system and identify those that have not yet built a complete industrial chain. For these enterprises, the system will automatically call their existing product data, supply chain demand, financial status and other information, and automatically build a complete industrial chain for them based on the supply and demand data of other enterprises in the platform.

[0178] The process of building the industrial chain includes:

[0179] Data collection and analysis: The system obtains the target company's product specifications, inventory status, financial data (such as cost, revenue, profit margin, etc.), and current supply chain status from the comprehensive information database.

[0180] Automatic matching: Based on the collected data, the system screens other companies in the industrial chain business matching system through a preset evaluation model, matches upstream and downstream companies that meet the needs of the target company, and forms a complete industrial chain.

[0181] Industrial chain construction: The system automatically organizes the matched enterprises into a complete industrial chain according to the links of raw material supply, processing and manufacturing, brand sales, and after-sales service.

[0182] Information notification: Once the industrial chain is built, the system will automatically generate a detailed cooperation proposal report and push the information to the person in charge of the target enterprise through email, platform notification, etc.

[0183] The business matching module can also include customized recommendation functions:

[0184] The industrial chain business matching system provides targeted partner recommendations based on the company's real-time financial data and inventory status. When a company's inventory is too high or its product costs are too high, the industrial chain business matching system will focus on recommending downstream or upstream companies to help the company optimize inventory management or reduce costs.

[0185] For example, the process of customizing the recommendation function is as follows:

[0186] Financial data monitoring: The system monitors the company's financial data in real time, including inventory levels, cost structure, profit margins, etc. Financial data can be obtained by connecting to the company's ERP system or by regularly uploading financial statements.

[0187] Conditional trigger: When the system detects that the company's inventory level is too high (such as exceeding the preset inventory warning line), the system will trigger the downstream enterprise recommendation process. If the product cost is too high (such as the cost accounts for too high a proportion of revenue), the system will trigger the upstream enterprise recommendation process.

[0188] The business matching module can also perform precise matching:

[0189] Downstream enterprise recommendations: The system will give priority to matching downstream enterprises that can digest inventory, and screen them based on indicators such as product matching, logistics costs, market demand, etc., and recommend the most suitable downstream enterprises.

[0190] Upstream enterprise recommendation: The system will analyze the current product cost structure, match upstream suppliers that can provide greater cost advantages, and recommend the most suitable upstream enterprises to help reduce production costs.

[0191] Recommendation report generation: The system generates a report containing a list of recommended companies, matching reasons, cooperation suggestions, etc. for reference and decision-making by company leaders.

[0192] Notification and Execution: The recommendation report is pushed to the company's head via email or internal platform messages. The company can directly initiate cooperation intentions or negotiation processes on the platform.

[0193] Advantages of the business matching module:

[0194] Proactiveness: The industrial chain business matching system can automatically identify and analyze the operation status of enterprises, predict possible problems in advance (such as excessive inventory, excessive costs, etc.), and proactively provide solutions.

[0195] Accuracy: Based on real-time data and intelligent algorithms, the system can provide highly accurate partner recommendations to ensure that the recommended companies meet the needs of target companies in terms of quality, price, supply capacity, etc.

[0196] Efficiency: Through automated matching and chaining functions, enterprises no longer need to manually screen partners, greatly improving the efficiency of supply chain optimization.

[0197] Customization: The system provides customized recommendation services based on the different needs of enterprises (such as inventory management, cost control, etc.), ensuring that each recommendation is a solution to the actual problems of the enterprise.

[0198] The cooperation plan design submodule can automatically design and suggest cooperation plans:

[0199] After an enterprise in the industrial chain business matching system accepts a recommendation or conducts industrial chain matching by itself, when the enterprise initiates a cooperation demand, the cooperation plan design submodule can automatically generate a series of key documents to promote cooperation. These documents include a letter of intent for cooperation, an introduction to the enterprise, a cooperation plan, and cooperation recommendations and a comprehensive evaluation report of the industrial chain business matching system.

[0200] Among them, in the process of automatically generating a letter of intent for cooperation, when generating a letter of intent for cooperation, it can include the title, basic information of the initiating enterprise (name, address, contact person and contact information), and specific goals of cooperation (such as raw material procurement, product sales, technical cooperation). It will also introduce the current situation of the initiating enterprise and the reasons for selecting a partner, describe the content of cooperation in detail (type, quantity, specifications, delivery cycle, quality requirements of products or services), explain the mode of cooperation (long-term contract, project cooperation, joint development), and clarify the goals to be achieved through cooperation (reducing costs, improving product quality, expanding the market).

[0201] Furthermore, the cooperation plan design submodule can automatically generate a company introduction, covering company profile, products and services, market performance, competitive advantages and future development plans. The company profile briefly introduces the company's founding time, main business and market position. The products and services section describes the company's core products or services in detail, including technical advantages and market coverage. Market performance lists the company's sales, market share and major customers. Competitive advantages emphasize the company's technological innovation capabilities, quality control and customer service. Future development plans briefly describe the company's strategic direction.

[0202] In addition, the cooperation plan design submodule can also automatically generate cooperation plans, including cooperation background, cooperation content, responsibilities and obligations, cooperation timetable, benefits and distribution, and risk management. The cooperation background explains the necessity of cooperation and the matching degree of the two companies. The cooperation content describes the cooperation plan in detail, including products, services and processes. Responsibilities and obligations clarify the responsibilities of both parties in the cooperation. The cooperation timetable provides the time nodes and tasks of each stage of the cooperation project. Benefits and distribution describe the expected benefits of the cooperation and how they are distributed. Risk management proposes the risks that may be encountered in the cooperation and the corresponding countermeasures. The platform also provides cooperation suggestions and comprehensive evaluation reports, including product evaluation, financial evaluation, credit evaluation, cooperation potential and platform suggestions, to evaluate the cooperation potential between the initiating enterprise and the target enterprise and make suggestions.

[0203] The industrial chain business matching system for financial and tax service agencies in this application can not only provide enterprises with automated industrial chain construction services, but also help enterprises optimize key links in the supply chain through intelligent recommendations, thereby improving operational efficiency and market competitiveness.

[0204] The cooperation suggestions and comprehensive evaluation reports provided by the industrial chain business matching system include several key parts. First, product evaluation is conducted, using system data to comprehensively evaluate the product quality, innovation ability and market competitiveness of the initiating enterprise. Secondly, financial evaluation is conducted to analyze the profitability, liquidity and debt level of the enterprise to ensure its financial health. Credit evaluation is based on the credit record and cooperation history of the enterprise to assess its credit rating and reputation risk. In addition, the cooperation potential between the initiating enterprise and the target enterprise is evaluated, and corresponding suggestions are made. Finally, based on the overall data analysis, the system provides feasibility suggestions for cooperation and potential profit forecasts.

[0205] Automatic sending and matching: The cooperation letter of intent, company introduction, cooperation plan, cooperation suggestions and comprehensive evaluation report automatically generated by the industrial chain business matching system will be packaged and sent to the contact email or system account of the target company. After the file is sent, the system starts the matching process, tracks the progress of the cooperation in real time, and provides necessary assistance, such as arranging online meetings, contract generation, and terms negotiation, to ensure the smooth progress of the cooperation.

[0206] Continuous monitoring and feedback optimization: After building the industrial chain between enterprises, the industrial chain business matching system will continue to monitor the operation of the entire industrial chain, and optimize the supply and demand capabilities of each chain point enterprise through regular evaluation and feedback mechanisms. The monitoring content includes supply and demand dynamics, financial status, and quality and compliance. The system regularly evaluates the supply and demand capabilities of chain point enterprises and generates a detailed evaluation report, including current scores, changes, potential risks, and improvement suggestions. In addition, the system provides dynamic optimization suggestions for chain point enterprises to ensure the efficient operation of the industrial chain.

[0207] Issue chain reports regularly: Chain reports analyze the operation of the entire industry chain, including supply and demand balance, logistics efficiency, cost control and the stability of chain point enterprises. The report also evaluates the performance of each chain point enterprise, lists its changes in supply and demand capabilities, financial status, quality compliance, etc., and gives corresponding scores and improvement suggestions. At the same time, it analyzes potential risks and new opportunities in the industry chain and provides suggestions for future development.

[0208] Chain formation calculation and recommendation after new enterprises join: When a new enterprise joins the system, the supply and demand capacity is evaluated first, and its product specifications, production capacity, market demand, financial status and quality standards are analyzed. Then, the system analyzes the supply and demand capacity of the new enterprise and calculates and matches it with the existing industrial chain. After the calculation is completed, the system automatically generates an industrial chain formation recommendation report and sends it to the person in charge of the newly joined enterprise. At the same time, the system will simultaneously inform the relevant enterprises in the existing industrial chain participating in the calculation of the calculation results, and provide information about the possible impact of the new enterprise joining on the entire industrial chain, as well as possible cooperation opportunities.

[0209] Continuous optimization mechanism: The system dynamically adjusts the industrial chain structure according to the entry of new enterprises and the operational changes of existing enterprises to ensure the efficiency and stability of the supply chain. During the calculation and chain formation process, the system will intelligently push key information and suggestions to help enterprises make timely decisions. Through continuous monitoring, evaluation and optimization, the system can establish an automated feedback loop to continuously improve the competitiveness and risk resistance of the industrial chain.

[0210] Preferably, the industrial chain business matching system may also include an information security and compliance management module for protecting the security and privacy of customer data and complying with relevant laws and regulations.

[0211] In order to ensure the stability and security of the entire supply chain, the industrial chain business matching system needs to regularly monitor the industrial chain and its link-point enterprises, ensure enterprise information security and supervise compliance operations. When a link-point enterprise has an abnormality, the system should quickly issue a warning for the entire chain.

[0212] Regular supervision of the industrial chain and chain point enterprises: The system supervision includes information security supervision and compliance supervision. In terms of information security supervision, the system regularly reviews the data transmission and storage process of chain point enterprises to ensure that data encryption and protection measures comply with industry standards to prevent sensitive information leakage. At the same time, the system regularly checks the data access rights between enterprises to ensure that only authorized personnel and enterprises can access relevant information. In addition, the system conducts regular security audits on all chain point enterprises to detect and record any abnormal access, signs of data leakage or potential security vulnerabilities.

[0213] In terms of compliance supervision, the system regularly checks the operation of chain point enterprises to ensure that they comply with the laws and regulations of the region, including labor laws, environmental laws, tax laws and other relevant requirements. The system monitors whether chain point enterprises comply with the operating standards and quality certifications of their industries, such as ISO certification, industry safety standards, etc. The system continuously monitors the operational compliance of enterprises through automated compliance checking tools, and regularly generates compliance review reports to help chain point enterprises identify potential compliance risks and make rectification suggestions.

[0214] Full-chain early warning mechanism: The system has a full-chain early warning mechanism. When an abnormality occurs in a chain point enterprise, the system will immediately trigger the full-chain early warning mechanism and notify the relevant enterprises in the entire industrial chain through email, SMS or internal platform messages to remind them to pay attention to potential risks. The system automatically evaluates the impact of abnormalities on the entire industrial chain and provides specific risk analysis and response suggestions to all relevant enterprises. The system automatically generates emergency plans to help chain point enterprises quickly adjust supply chain strategies to ensure the stable operation of the entire industrial chain.

[0215] Ensure enterprise information security: The system uses high-level data encryption technology to ensure that all enterprise data on the platform is protected during transmission and storage. The system requires users of chain point enterprises to use multi-factor authentication when logging in and accessing sensitive information to increase the security protection layer. The system regularly backs up all data and designs a data recovery plan to ensure that data can be quickly restored in the event of data leakage or system failure, reducing the impact on enterprise operations. The system regularly performs system security updates, promptly fixes known security vulnerabilities, and prevents potential security threats.

[0216] Supervise corporate compliance operations: The system integrates automated compliance review tools that can regularly scan the operating behaviors of chain point companies to detect whether there are any violations of laws, regulations or industry standards. The system regularly evaluates the compliance risks of companies based on their historical operating data, industry standards, laws and regulations, etc., generates compliance risk reports, and makes rectification suggestions. The system provides regular compliance training for chain point companies to help them understand the latest laws, regulations and industry standards and improve their compliance awareness.

[0217] Through the above mechanism, the industrial chain business matching system according to this application can achieve the following advantages: real-time monitoring and rapid response to ensure the stability and security of the entire supply chain; information security protection to reduce the risk of data leakage; compliance maintenance to help companies reduce compliance risks and ensure that companies operate within the framework of laws and industry standards; full-chain early warning and risk management to timely identify and manage risks in the industrial chain, helping companies to quickly adjust their strategies and prevent the spread of risks.

[0218] According to another aspect of the present disclosure, a method for matching business in an industrial chain is proposed, referring to Figure 2 , the method comprises the following steps:

[0219] Step 1: Information collection and storage S100, collecting internal and external data from the financial and tax service agency, and storing the obtained information data in a comprehensive information database;

[0220] For example, it may include: collecting the company's financial statements and tax declaration data; collecting the company's registration information and annual report information; collecting the company's signed contracts and execution status, etc.;

[0221] Step 2: Supply and demand information analysis S200, identifying the demand and supply information of the service object in the industrial chain based on the data in the comprehensive information database;

[0222] For example, it may include: using NLP technology to extract a keyword list of demand and supply, converting the keyword list into a standard description format to form a supply and demand information dataset;

[0223] Step 3: Evaluation and screening S300, analyzing the demand information, supply information and comprehensive information data associated with each service object, selecting the data of the service objects that meet the predetermined conditions and storing them to form the data of the matching industry chain;

[0224] This step can also include matching the company's needs with the supply of potential partners; it can also assess the impact of the partner's geographical location on logistics costs and time;

[0225] Step 4: Business matching S400: Based on the matchable industry chain data, automatically or upon request, business matching is performed for the service object, and a chaining permission request is sent to the service object recorded in the matchable industry chain data; when the chaining permission request forms a match between demand and supply information between different service objects, business matching is completed.

[0226] In a specific embodiment of the present application, a method for applying the industrial chain business matching system in each of the above-mentioned embodiments in a financial and tax service agency is proposed.

[0227] The method comprises the following steps:

[0228] Step 1: Information collection and storage: Use the collection module to collect internal and external data from the financial and tax service agency, and store the obtained information data in the comprehensive information database;

[0229] For example, it may include: using the financial and tax data collection submodule to collect the financial statements and tax declaration data of the enterprise; using the industrial and commercial data collection submodule to collect the registration information and annual report information of the enterprise; using the contract data collection submodule to collect the text of the contract signed by the enterprise and the execution status;

[0230] Step 2: Supply and demand information analysis, identifying the demand and supply information of the service object in the industrial chain based on the data in the comprehensive information database;

[0231] For example, it may include: using a keyword extraction submodule to extract a keyword list of demand and supply using NLP technology, converting the keyword list into a standard description format to form a supply and demand information data set;

[0232] Step 3: Evaluation and screening: Analyze the demand information, supply information and comprehensive information data associated with each service object, select the data of the service objects that meet the predetermined conditions and store them to form data that can be matched with the industrial chain;

[0233] This step may also include using a matching algorithm submodule to match the enterprise's demand with the supply of potential partners; and may also use a physical location assessment submodule to assess the impact of the partner's geographical location on logistics costs and time;

[0234] Step 4: Business matching: Based on the matchable industry chain data, automatically or upon request, business matching is performed for service objects, and chain formation permission requests are sent to service objects recorded in the matchable industry chain data; when the chain formation permission requests form a match between demand and supply information between different service objects, business matching is completed.

[0235] Preferably, the above method for applying the industrial chain business matching system in the financial and tax service agency may also include the following steps:

[0236] Monitoring and feedback optimization: monitoring partners’ performance and providing optimization suggestions; and

[0237] Information security and compliance management: Conduct information security and compliance management to protect the security and privacy of customer data and comply with relevant laws and regulations.

[0238] Preferably, a federated learning model is adopted in the method, and each service object shares and exchanges the data it holds using the federated learning model.

[0239] Preferably, each service object uses a knowledge graph to construct the data it holds, for example, using the knowledge graph submodule in the above system.

[0240] In the business matching, the step of designing a cooperation plan can also be included. Based on the matchable industrial chain data, a specific cooperation plan can be designed. For example, the following can be done:

[0241] Generate a letter of intent for cooperation using the letter of intent generation submodule;

[0242] Generate a company introduction using the company introduction generation submodule;

[0243] The contract data collection submodule is used to generate the contract text and execution status.

[0244] According to another aspect of the present disclosure, a computer-readable storage medium is proposed, on which a computer program for applying the method of the above-mentioned industrial chain business matchmaking system is stored, and the program is designed to execute the above-mentioned steps on a computer.

[0245] In the industrial chain business matching system, the application of federated learning mechanism and knowledge graph can involve multiple modules, which can significantly improve the data security of the system and meet the needs of protecting data privacy.

[0246] For example, in the cooperation plan design submodule, this submodule uses the federated learning mechanism to allow different service objects to jointly train models to generate cooperation plans without sharing sensitive data. The cooperation letter of intent generation submodule, enterprise introduction generation submodule, and cooperation plan generation submodule all use the federated learning model for data sharing and exchange. This can protect the data privacy of each enterprise and use collective data to improve the quality of cooperation plans.

[0247] Monitoring and Feedback Optimization Module This module provides optimization suggestions by monitoring the performance of partners in real time. Using the federated learning mechanism, the system can collect and analyze partners' operational data while protecting data privacy. This helps to identify potential problems in a timely manner and provide targeted optimization measures.

[0248] Information Security and Compliance Management Module This module is responsible for protecting the security and privacy of customer data and ensuring compliance with relevant laws and regulations. Through the federated learning mechanism, the system can share security and compliance-related data without leaking sensitive information. In addition, the system can also use knowledge graphs to track and manage compliance requirements to ensure that all partners comply with industry standards and laws and regulations.

[0249] For industrial chain attribute information data, the system collects industrial chain attribute information data including user feature data, product feature data and annotation data. These data are shared and exchanged through the federated learning mechanism to improve the diversity and quality of data.

[0250] In the process of drawing the knowledge graph, the business matching module draws the knowledge graph for the service objects in the matchable industrial chain data based on the data of the comprehensive information database. The knowledge graph can help the system better understand the various entities in the industrial chain and the relationships between them, so as to match partners more accurately and design more effective cooperation plans.

[0251] Information collection and storage module This module includes financial and tax data collection submodules, industrial and commercial data collection submodules, and contract data collection submodules. These submodules are responsible for collecting the company's financial statements, tax declaration data, registration information, annual report information, and contract texts and execution status. The collected data can be used for federated learning and knowledge graph construction.

[0252] In the supply and demand information analysis module, NLP technology is used to extract a list of keywords for demand and supply. These keywords will be used to build a knowledge graph to further improve the accuracy of the design of the cooperation plan.

[0253] In the evaluation and screening module, federated learning mechanisms and knowledge graphs are used to evaluate the matching degree of partners, the impact of geographical location on logistics costs and time, as well as price competitiveness and logistics costs.

[0254] By combining the federated learning mechanism and knowledge graph, the industrial chain business matching system can more effectively protect data privacy, improve the quality of cooperation plans, and ensure the compliance of partners.

[0255] Federated learning is a distributed machine learning framework that aims to allow multiple parties to collaborate on training models while protecting data privacy. In federated learning, the original data is kept locally and only model update information is shared among the participants. This mechanism is particularly suitable for scenarios where data is sensitive or subject to privacy regulations, such as medical, financial, and government data.

[0256] The federated learning mechanism mainly includes:

[0257] Data alignment: Before federated learning, it is necessary to ensure that the datasets of different participants are comparable in certain features. For example, if multiple companies participate in federated learning for product recommendations, they need to ensure the consistency of user identifiers in the dataset.

[0258] Encrypted transmission: To protect data privacy, federated learning usually uses encryption techniques such as homomorphic encryption or secure multi-party computation. These techniques allow calculations on encrypted data without decryption.

[0259] Local model training: Each participant trains the model using its local data. After training, model updates (such as gradients or model parameters) are sent to the central server.

[0260] Model aggregation: After the central server receives the model updates from all participants, it aggregates them to update the global model. The aggregation method can be a simple average or a more complex algorithm such as FedAvg.

[0261] Iterative process: Federated learning is an iterative process. In each round of iteration, the global model is sent back to the participants, who train the model again on their local data and send the new model updates back to the central server.

[0262] Security and privacy protection: Federated learning protects the privacy of participants by limiting the flow of data and using encryption technology. In addition, federated learning can also enhance security by setting access control and audit functions.

[0263] Performance optimization: Since data is distributed among different participants, there may be a problem of uneven data distribution (Non-I ID). In order to improve the generalization ability of the model, it is necessary to design a specific algorithm to deal with the problem of uneven data distribution.

[0264] Incentive mechanism: In federated learning, incentive mechanisms can be designed to encourage participants to contribute their data and computing resources.

[0265] The knowledge graph mentioned above is a structured semantic knowledge base that stores entities (nodes) and their relationships (edges) in the form of a graph to support complex data queries and reasoning. In the industry chain business matching system of the tax service agency, the knowledge graph can be used to deeply understand and analyze the various entities in the industry chain and the complex relationships between them, so as to more accurately match partners and design more effective cooperation plans.

[0266] In an application implementation of the industrial chain business matching system, the following steps may be included:

[0267] Data collection: Collect multi-source data from corporate tax service agencies and third-party platforms through the data collection module, including financial, tax and market data;

[0268] Demand analysis: Use deep learning and NLP technology to analyze data and generate standardized descriptions of enterprise needs;

[0269] Partner screening: candidate partners are scored using a multi-factor weighted algorithm to select the most compatible companies;

[0270] Intelligent recommendation: Based on the rating results and feedback information, a partner recommendation list is generated through a deep recommendation model;

[0271] Continuous feedback optimization: Monitor partner performance in real time, dynamically adjust the parameters of the recommendation model based on feedback information, and continuously optimize the recommendation effect.

[0272] Preferably, it may include using a neural network model to perform semantic extraction on natural language data, generating standardized descriptions of enterprise needs in a vectorized form, and improving the recommendation matching degree.

[0273] Optionally, the partner screening step uses a clustering algorithm to group candidate companies and selects target companies based on a multi-factor weighted score. It further adjusts the priority of candidate companies based on cluster analysis of factors such as cost, logistics, and compliance to ensure the accuracy and efficiency of recommendations.

[0274] In the industrial chain business matching system according to the present application, multi-source data integration can be performed: data is collected from multiple internal and external sources, and dynamic updates are achieved.

[0275] The present invention can be applied to all kinds of enterprises, especially small and medium-sized enterprises and start-ups. In actual operation, a medium-sized manufacturing enterprise uses this system through a financial and tax service company. The system identifies its demand for raw materials and parts from the enterprise's procurement data and sales data, selects several suppliers that meet the requirements in terms of geographical location, product specifications, quality standards, etc., and provides the best recommendation based on price and transportation costs. Through real-time feedback and cycle evaluation, the enterprise optimizes supply chain partners, reduces logistics and raw material costs, and effectively improves competitiveness.

[0276] The above implementation scheme and process describe the innovation of the present invention in detail. The present invention fills the defects of the existing industrial chain construction method in terms of efficiency and accuracy.

[0277] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core ideas of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made to the present invention without departing from the principles of the present invention, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. An industrial chain business matching system for a financial and taxation service agency, characterized in that: The system includes: An information collection and storage module, the information collection and storage module includes a collection module, the collection module collects internal data from the financial and taxation service agency and external data from outside the financial and taxation service agency, and includes a comprehensive information database for storing the acquired information data; A supply and demand information analysis module, which identifies the demand and supply information of service objects in the industrial chain based on the data in the comprehensive information database, extracts keywords from the data of each service object in the comprehensive information database, generates a keyword list about demand and supply, converts the keyword list into a standard description format, and forms a supply and demand information data set, which stores the demand information and supply information of each service object in a standard format; An evaluation and screening module, which analyzes the demand information, supply information and comprehensive information data associated with each service object, adds industrial chain attribute information to the stored data of each service object, performs an attribute matching algorithm or a semantic similarity calculation matching degree on the industrial chain attribute information data of each service object, selects the data of each service object that meets the predetermined conditions and stores them to form matchable industrial chain data; A business matching module, which automatically or upon request performs business matching for service objects based on the matchable industrial chain data, sends a chain formation permission request to the service objects recorded in the matchable industrial chain data, and completes business matching when the chain formation permission request forms a match between demand and supply information between different service objects.

2. The industrial chain business matching system according to claim 1, characterized in that: The business matching module also includes a cooperation plan design submodule for designing a specific cooperation plan; The cooperation plan design submodule includes: a cooperation letter of intent generation submodule, which is used to generate a cooperation letter of intent; a company introduction generation submodule, which is used to generate a company introduction; and a cooperation plan generation submodule, which is used to generate a cooperation plan.

3. The industrial chain business matching system according to claim 1, characterized in that: The industrial chain business matching system also includes: The monitoring and feedback optimization module is used to monitor the performance of partners and provide optimization suggestions.

4. The industrial chain business matching system according to claim 1, characterized in that: The industrial chain business matching system also includes: an information security and compliance management module, which is used to protect the security and privacy of customer data and comply with relevant laws and regulations.

5. The industrial chain business matching system according to any one of claims 1 to 4, characterized in that: The industry chain attribute information data includes user feature data, product feature data and annotation data.

6. The industrial chain business matching system according to claim 5 is characterized in that: Each service object shares and exchanges its own data using the federated learning model; the business matching module draws a knowledge graph for the service objects in the matchable industrial chain data based on the data in the comprehensive information database.

7. The industrial chain business matching system according to any one of claims 1 to 4, characterized in that: The collection module of the information collection and storage module includes: The financial and tax data collection submodule is used to collect the company's financial statements and tax declaration data; The industrial and commercial data collection submodule is used to collect the registration information and annual report information of enterprises; The contract data collection submodule is used to collect the texts of contracts signed by the enterprise and their execution status; The supply and demand information analysis module includes: a keyword extraction submodule, which uses NLP technology to extract a keyword list of demand and supply.

8. The industrial chain business matching system according to any one of claims 1 to 4, characterized in that: The evaluation and screening module includes: The matching algorithm submodule is used to match the enterprise demand with the supply of potential partners; The physical location assessment submodule is used to assess the impact of the partner’s geographical location on logistics costs and time; The cost-effectiveness evaluation submodule is used to evaluate the price competitiveness and logistics costs of partners.

9. A method for applying the industrial chain business matching system as described in any one of claims 1 to 10 in a financial and tax service agency, characterized in that: The method comprises the following steps: Step 1: Information collection and storage: collect internal and external data from the financial and tax service agency and store the obtained information data in a comprehensive information database; Step 2: Supply and demand information analysis, identifying the demand and supply information of the service object in the industrial chain based on the data in the comprehensive information database; Step 3: Evaluation and screening: Analyze the demand information, supply information and comprehensive information data associated with each service object, select the data of the service objects that meet the predetermined conditions and store them to form data that can be matched with the industrial chain; Step 4: Business matching: Based on the matchable industry chain data, automatically or upon request, business matching is performed for service objects, and chain formation permission requests are sent to service objects recorded in the matchable industry chain data; when the chain formation permission requests form a match between demand and supply information between different service objects, business matching is completed.

10. A computer-readable storage medium, characterized in that: A computer program for the method according to claim 9 is stored thereon, the program being designed to execute the above steps on a computer.

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