Real-time interaction system for automatically analyzing and identifying financing supply-demand relationship

Abstract

The invention relates to the technical field of data processing, and particularly discloses a real-time interaction system for automatically analyzing and identifying a financing supply-demand relationship, and the system comprises an acquisition module which obtains financing project data and supply resource data, and collects real-time financing data and real-time supply data; the analysis module is used for determining project financing demand data and real-time financing demand data of each financing project; the clustering module is used for determining a plurality of project clustering sets and a plurality of supply clustering sets; the target module is used for determining a project-supply cluster pair set and a project target supply set of each financing project; and the interaction module is used for determining a real-time target supply set of each financing project and the supply priority of each supplier in the real-time target supply set. The supply and demand of the project and the supplier can be efficiently matched, a dynamic and practical target supply set and supply priority are provided for each financing project, the financing supply and demand docking efficiency and precision are improved, and efficient circulation and reasonable configuration of funds are promoted.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing. Background Technology

[0002] In the past, the financing market has long faced the problem of information asymmetry. Corporate financing needs were difficult to convey to suppliers in a timely and accurate manner, and financial institutions also struggled to fully understand the true situation of enterprises. Early on, financing supply and demand matching relied heavily on offline channels, such as bank-enterprise matchmaking meetings, which were inefficient and had limited reach. With digital development, while some online financing platforms emerged, data was fragmented and not updated in a timely manner, failing to reflect the real-time progress of financing projects and changes in supply-side resources. The severe data silos between different institutions and platforms made comprehensive supply and demand analysis and matching difficult, resulting in a large number of unmet financing needs and funds not being accurately directed to projects with needs.

[0003] Therefore, this invention proposes a real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing. Summary of the Invention

[0004] This invention provides a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships. By analyzing acquired financing project data, it determines the project financing demand data and real-time financing demand data for each project. Based on the real-time financing demand data, real-time financing data, supply resource data, and real-time supply data of all financing projects, it determines multiple project cluster sets, multiple supply cluster sets, project-supply cluster pair sets, and the target supply set for each financing project. It also determines the real-time target supply set for each financing project, enabling real-time interaction among all financing projects based on supply and demand relationships. This system can accurately analyze and cluster financing demands, efficiently match supply and demand between projects and suppliers, and provide each financing project with a dynamic and realistic target supply set and supply priority, improving the efficiency and accuracy of financing supply and demand matching and promoting efficient capital flow and rational allocation.

[0005] This invention provides a real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing, comprising: Acquisition and Collection Module: Acquires financing project data from multiple financing projects, acquires supply resource data from multiple suppliers, collects real-time financing data from multiple financing projects, and collects real-time supply data from multiple suppliers. Analysis module: Analyzes financing project data to determine the project financing needs and real-time financing needs data for each financing project; Clustering module: Based on real-time financing demand data and real-time financing data of all financing projects, determine multiple project cluster sets; based on supply resource data and real-time supply data, determine multiple supply cluster sets. Target module: Based on all project cluster sets and all supply cluster sets, determine the project-supply cluster pair set; based on financing project data, supply resource data, and the project-supply cluster pair set, determine the target supply set for each financing project. Interaction Module: Based on real-time financing data and the project target supply set of each financing project, the module determines the real-time target supply set of each financing project and the supply priority of each supplier in the real-time target supply set, enabling real-time interaction of all financing projects based on supply and demand.

[0006] Preferably, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships includes a data acquisition module, comprising: Financing Project Data Unit: Acquire the financing project sub-data for each financing project in the system, and determine the financing project data of the system based on the financing project sub-data of all financing projects; Supply resource data unit: Acquire supply resource sub-data for each supplier in the system, and determine the system's supply resource data based on the supply resource sub-data of all suppliers. The supply resource sub-data includes basic supply data, historical supply data of multiple historical projects, supply requirement data, supply cost data, and supply scale data.

[0007] Preferably, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships includes a data acquisition module, which further comprises: Real-time financing data unit: Collects real-time financing sub-data for each financing project in the system. Based on the real-time financing sub-data of all financing projects, the real-time financing data of the system is determined. The real-time financing sub-data includes real-time demand adjustment data, multiple project connection data, and multiple project signing data. The project connection data includes financing projects, suppliers, and connected supply data. The project signing data includes financing projects, suppliers, signed agreement data, and actual performance data. Real-time supply data unit: Collects real-time supply sub-data from each supplier in the system. Based on the real-time supply sub-data from all suppliers, the system's real-time supply data is determined. The real-time supply sub-data includes scale adjustment data, multiple supply connection data, and multiple supply contract data. Supply connection data includes suppliers, financing projects, and connected supply data. Supply contract data includes suppliers, financing projects, contract data, and actual performance data.

[0008] Preferably, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships includes an analysis module comprising: Project Financing Requirement Unit: Analyze the sub-data of each financing project in the financing project data to determine the project financing requirement data for each financing project. The project financing requirement data includes multiple financing stages, the stage financing requirement for each financing stage, and stage labels, which include completed, in progress, and not started. Real-time financing demand unit: Based on the stage financing demand data of each financing project, the real-time financing demand data of each financing project is determined.

[0009] Preferably, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships includes a clustering module, comprising: Financing Unit: Analyze the signed agreement data and actual performance data of all projects in the real-time financing sub-data of each financing project in the real-time financing data to determine the financing data of each financing project; Financing Needs Unit: Based on the financing data of each financing project and the real-time financing needs data, determine the financing needs data of each financing project; Financing Feature Vector Unit: Extracts features from the financing demand data of all financing projects to determine the financing feature vector of each financing project and the financing feature value vector of each financing project. Financing Adjustment Feature Value Vector Unit: Based on the financing feature vector of the financing project, feature extraction is performed on the financing demand adjustment data of each financing project in the real-time financing sub-data to determine the financing adjustment feature value vector of each financing project. Project clustering set unit: Based on the financing feature vector and financing adjustment feature value vector of all financing projects, a first cluster analysis is performed on all financing projects. Based on the results of the first cluster analysis, multiple project cluster sets and project cluster labels for each project cluster set are determined.

[0010] Preferably, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships, including a clustering module, further comprises: Supply Unit: Analyze the contracted agreement data and actual performance data in all supply contract data of each supplier in the real-time supply sub-data of the real-time supply data to determine the supply data of each supplier; Unsupplied Scale Unit: Based on the supplied data and supply scale data of each supplier, determine the unsupplied scale data of each supplier; Supply scale value vector unit: Extract features from the unsupplied scale data in the supply resource sub-data of all suppliers in the supply resource data to determine the supply scale vector of each supplier and the supply scale value vector of each supplier. Supply adjustment scale value vector unit: Based on the supply scale vector of the supplier, feature extraction is performed on the scale adjustment data of each supplier in the real-time supply sub-data of the real-time supply data to determine the supply adjustment scale value vector of each supplier. Supply demand vector unit: Extract features from the supply demand data of all suppliers in the supply resource sub-data of the supply resource data to determine the supply demand vector of each supplier and the supply demand value vector of each supplier; Supply cluster label unit: Based on the supply scale vector, supply adjustment scale value vector, supply requirement vector and supply requirement value vector of all suppliers, a second cluster analysis is performed on all suppliers. Based on the results of the second cluster analysis, multiple supply cluster sets and supply cluster labels for each supply cluster set are determined.

[0011] Preferably, a real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing includes a target module comprising: Alignment Unit: Perform feature mapping on each financing feature in the financing feature vector of each financing project and each scale feature in the supply scale vector of the supplier and each requirement feature in the supply requirement vector of the supplier to determine the alignment label of each financing feature in the financing feature vector of the financing project. The alignment label includes alignment scale feature and alignment requirement feature. First Project-Supply Clustering Pair Subset Unit: Based on all project clustering sets, the project clustering labels of each project clustering set, all supply clustering sets, the supply clustering labels of each supply clustering set, and the alignment scale feature or alignment requirement feature of each financing feature in the financing feature vector of the financing project, calculate the first project-supply clustering pair subset. Project-supply cluster pair set unit: Determine whether the first project-supply cluster pair subset contains all project cluster sets. If yes, determine the first project-supply cluster pair subset as the project-supply cluster pair set. If not, perform a first re-clustering analysis on all project cluster sets not included in the first project-supply cluster pair subset. Simultaneously, perform a second re-clustering analysis on all supply cluster sets not included in the first project-supply cluster pair subset. Based on the results of the first and second re-clustering analyses and the alignment scale feature or alignment requirement feature of each financing feature in the financing feature vector of the financing project, calculate the second project-supply cluster pair subset until the first and second project-supply cluster pair subsets contain all project cluster sets. Then, determine the project-supply cluster pair set based on the first and second project-supply cluster pair subsets. Project target supply set unit: For each project-supply cluster pair in the project cluster set, the financing project sub-data of each financing project in the project cluster set is sequentially matched with the supply resource sub-data of all suppliers in the supply cluster set to perform financing supply and demand analysis and match, thereby determining the project target supply set of each financing project. The project target supply set includes multiple suppliers.

[0012] Preferably, a real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing includes a target module comprising: Financing Supply Set Unit: Extract the suppliers from all project contract data in the real-time financing sub-data of each financing project in the real-time financing data to determine the financing supply set for each financing project; Real-time target supply set unit: Perform the difference operation between the project target supply set and the already financed supply set for each financing project to determine the real-time target supply set for each financing project; Scoring Unit: Reliability assessment of historical supply data in the supply resource sub-data of each supplier in the real-time target supply set of each financing project; cost assessment of supply cost data in the supply resource sub-data of each supplier in the real-time target supply set of each financing project; competitiveness score of connected supply data in all supply connection data in the real-time supply sub-data of each supplier in the real-time target supply set of each financing project. Connected Supply Set Unit: Extract the suppliers from all project connection data in the real-time financing sub-data of each financing project in the real-time financing data to determine the connected supply set for each financing project; Supply Priority Unit: Based on the reliability assessment results, cost assessment results, and competitiveness score assessment results of each supplier in the connected supply set and the real-time target supply set of each financing project, the supply priority of each supplier in the real-time target supply set of each financing project is determined. Interaction Unit: Based on the real-time target supply set of all financing projects and the supply priority of each supplier in the real-time target supply set, the unit enables real-time interaction of all financing projects based on supply and demand.

[0013] The beneficial effects of this invention compared to existing technologies are as follows: By analyzing the acquired financing project data, the project financing demand data and real-time financing demand data for each financing project are determined. Based on the real-time financing demand data, real-time financing data, supply resource data, and real-time supply data of all financing projects, multiple project cluster sets, multiple supply cluster sets, project-supply cluster pair sets, and the target supply set for each financing project are determined. Furthermore, the real-time target supply set for each financing project is determined, enabling real-time interaction among all financing projects based on supply and demand relationships. This allows for precise analysis and clustering of financing needs, efficient matching of supply and demand between projects and suppliers, and provides each financing project with a dynamic and realistic target supply set and supply priority, improving the efficiency and accuracy of financing supply and demand matching, and promoting efficient capital flow and rational allocation.

[0014] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0015] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing, as described in an embodiment of the present invention. Detailed Implementation

[0017] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0018] Example 1: This invention provides a real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing, referencing... Figure 1 ,include: Acquisition and Collection Module: Acquires financing project data from multiple financing projects, acquires supply resource data from multiple suppliers, collects real-time financing data from multiple financing projects, and collects real-time supply data from multiple suppliers. Analysis module: Analyzes financing project data to determine the project financing needs and real-time financing needs data for each financing project; Clustering module: Based on real-time financing demand data and real-time financing data of all financing projects, determine multiple project cluster sets; based on supply resource data and real-time supply data, determine multiple supply cluster sets. Target module: Based on all project cluster sets and all supply cluster sets, determine the project-supply cluster pair set; based on financing project data, supply resource data, and the project-supply cluster pair set, determine the target supply set for each financing project. Interaction Module: Based on real-time financing data and the project target supply set of each financing project, the module determines the real-time target supply set of each financing project and the supply priority of each supplier in the real-time target supply set, enabling real-time interaction of all financing projects based on supply and demand.

[0019] In this embodiment, financing project data from multiple financing projects within the system is acquired; simultaneously, supply resource data from multiple suppliers is acquired, reflecting information such as each supplier's supply capacity and access requirements. On the other hand, real-time financing data from multiple financing projects is continuously collected, recording dynamic changes during the project financing process; simultaneously, real-time supply data from multiple suppliers is collected, recording dynamic adjustments during the supply process. Through these operations, a complete data source required for system analysis is constructed.

[0020] In this embodiment, the acquired financing project data serves as the basis for analysis. The data for each financing project is broken down and organized to identify the overall financing plan of the project, thereby determining the financing needs data for each project. This data covers the financing stages throughout the project's entire lifecycle and the needs at each stage. Based on this, the focus is further on the financing needs that currently require action, filtering out the financing stages in progress and their corresponding needs to determine the real-time financing needs data for each financing project. This data directly reflects the project's urgent financing demands.

[0021] In this embodiment, for financing projects, based on real-time financing demand data and real-time financing data of all projects, the similarity of different projects in terms of demand characteristics and dynamic progress is analyzed, and projects with similar characteristics are grouped into one category, forming multiple project cluster sets. For suppliers, based on supply resource data and real-time supply data, the similarity of different suppliers in terms of supply capacity and dynamic adjustment is analyzed, and suppliers with similar characteristics are grouped into one category, forming multiple supply cluster sets.

[0022] In this embodiment, the compatibility relationship between all project cluster sets and all supply cluster sets is analyzed to determine the matching degree of different project clusters and supply clusters in terms of demand and capacity. The compatible project clusters and supply clusters are combined to form a project-supply cluster pair set. Subsequently, using this set as a guide, and combining the financing project data of a single financing project with the supply resource data of a single supplier, the suppliers in the corresponding supply clusters of the project clusters are screened one by one to determine the supplier group suitable for the project, forming the project target supply set for each financing project.

[0023] In this embodiment, real-time financing data is used as a dynamic basis to adjust the target supply set for each financing project, eliminating suppliers who have already cooperated or are no longer suitable, thus determining the real-time target supply set for each project. Simultaneously, the real-time supply status and historical cooperation history of each supplier in the real-time target supply set are analyzed to prioritize suppliers and determine their supply priority. Finally, based on the real-time target supply set and supply priority, an interactive channel is provided between financing project owners and suppliers to support real-time communication, demand confirmation, and cooperation advancement, achieving real-time interaction based on supply and demand relationships.

[0024] The beneficial effects of the above technology are as follows: By analyzing the acquired financing project data, the financing needs and real-time financing needs data of each financing project are determined. Based on the real-time financing needs data, real-time financing data, supply resource data, and real-time supply data of all financing projects, multiple project cluster sets, multiple supply cluster sets, project-supply cluster pair sets, and the target supply set for each financing project are determined. Furthermore, the real-time target supply set for each financing project is determined, enabling real-time interaction among all financing projects based on supply and demand relationships. This allows for precise analysis and clustering of financing needs, efficient matching of supply and demand between projects and suppliers, and provides each financing project with a dynamic and realistic target supply set and supply priority, improving the efficiency and accuracy of financing supply and demand matching, and promoting efficient capital flow and rational allocation.

[0025] Example 2: Based on Example 1, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships includes a data acquisition module, comprising: Financing Project Data Unit: Acquire the financing project sub-data for each financing project in the system, and determine the financing project data of the system based on the financing project sub-data of all financing projects; Supply resource data unit: Acquire supply resource sub-data for each supplier in the system, and determine the system's supply resource data based on the supply resource sub-data of all suppliers. The supply resource sub-data includes basic supply data, historical supply data of multiple historical projects, supply requirement data, supply cost data, and supply scale data.

[0026] In this embodiment, for each financing project within the system, corresponding sub-data for each financing project is acquired one by one. This sub-data contains key information reflecting the basic information, technical data, financial data, and risk data of a single financing project. After acquiring the sub-data for each financing project, these scattered sub-data are aggregated and integrated.

[0027] In this embodiment, for each supplier within the system, corresponding supply resource sub-data is acquired one by one. This supply resource sub-data includes multiple specific dimensions, such as: basic supply data reflecting the supplier's basic qualifications and business scope; historical supply data from multiple historical projects, which are service records of the supplier's past participation in financing projects, reflecting its supply capacity and preferences; supply requirement data, which are the access conditions and other requirements set by the supplier for cooperative financing projects; supply cost data, which are cost information related to the supplier's provision of financing services; and supply scale data, which are scale information such as the total amount of financing resources that the supplier can provide. After acquiring the supply resource sub-data for each supplier, this sub-data is summarized and integrated to determine the supply resource data that comprehensively reflects all suppliers within the system.

[0028] The beneficial effects of the above technologies are: obtaining financing project data from multiple financing projects and supply resource data from multiple suppliers, which can provide data support for determining the project financing needs data and real-time financing needs data for each financing project.

[0029] Example 3: Based on Example 1, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships, including a data acquisition module, further comprises: Real-time financing data unit: Collects real-time financing sub-data for each financing project in the system. Based on the real-time financing sub-data of all financing projects, the real-time financing data of the system is determined. The real-time financing sub-data includes real-time demand adjustment data, multiple project connection data, and multiple project signing data. The project connection data includes financing projects, suppliers, and connected supply data. The project signing data includes financing projects, suppliers, signed agreement data, and actual performance data. Real-time supply data unit: Collects real-time supply sub-data from each supplier in the system. Based on the real-time supply sub-data from all suppliers, the system's real-time supply data is determined. The real-time supply sub-data includes scale adjustment data, multiple supply connection data, and multiple supply contract data. Supply connection data includes suppliers, financing projects, and connected supply data. Supply contract data includes suppliers, financing projects, contract data, and actual performance data.

[0030] In this embodiment, real-time financing sub-data is continuously collected for each financing project within the system. This real-time financing sub-data includes three key types of information: first, real-time demand adjustment data, which is information related to adjustments made to the original financing needs during the project's progress; second, multi-project connection data, where each connection records the corresponding financing project, the supplier with which it is connected, and supply-related data during the connection process; and third, multi-project contract signing data, where each contract signing record records the corresponding financing project, the cooperating supplier, the contract signing data between the parties, and the actual performance data after the agreement was signed. After collecting real-time financing sub-data for all financing projects, this scattered sub-data is aggregated and integrated to determine real-time financing data that comprehensively reflects the real-time status of all financing projects within the system.

[0031] In this embodiment, real-time supply sub-data is continuously collected for each supplier within the system. This real-time supply sub-data includes three key types of information: first, scale adjustment data, which reflects information about how suppliers adjust the scale of financing resources they can provide during operation; second, multiple supply connection data, where each connection records the corresponding supplier, the financing project linked to it, and supply-related data during the connection process; and third, multiple supply contract data, where each contract records the corresponding supplier, the cooperating financing project, the contractual agreement signed by both parties, and the actual performance data after the agreement was signed. After collecting real-time supply sub-data from all suppliers, this dispersed sub-data is aggregated and integrated to determine the real-time supply data that comprehensively reflects the real-time status of all suppliers within the system.

[0032] The beneficial effects of the above technologies are: collecting real-time financing data from multiple financing projects and real-time supply data from multiple suppliers can provide data support for determining multiple project clusters and multiple supply clusters, avoiding information gaps and ensuring that supply and demand data correspond in real time.

[0033] Example 4: Based on Example 2, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships, comprising an analysis module including: Project Financing Requirement Unit: Analyze the sub-data of each financing project in the financing project data to determine the project financing requirement data for each financing project. The project financing requirement data includes multiple financing stages, the stage financing requirement for each financing stage, and stage labels, which include completed, in progress, and not started. Real-time financing demand unit: Based on the stage financing demand data of each financing project, the real-time financing demand data of each financing project is determined.

[0034] In this embodiment, in-depth analysis of the sub-data of each financing project is conducted to extract key information, including the project's industry, the size of the initiating entity, the planned total financing amount, the financing term, the use of funds, the source of repayment, and the guarantee method. Then, combining industry financing characteristics with the actual project scenario, the overall financing needs of the project are broken down into multiple financing stages, each corresponding to a specific financing task and time frame. For each financing stage, the specific financing needs of that stage are further clarified, such as the required financing amount, disbursement schedule, suitable financing type, term, and purpose. Simultaneously, each financing stage is labeled with a stage tag, categorized into three types: completed, in progress, and not yet started, corresponding to the stage's financing needs being met, currently requiring progress, and not yet initiated, respectively.

[0035] In this embodiment, based on the project financing demand data of each financing project output by the project financing demand unit, multiple financing stages and their stage labels are filtered, retaining only the stage labels indicating ongoing financing stages. Then, the stage financing demands corresponding to these ongoing financing stages are extracted, and these currently prioritized stage financing demands are integrated to form real-time financing demand data for each financing project at the current point in time. This data directly reflects the project's urgent financing needs.

[0036] The beneficial effects of the above technologies are as follows: by analyzing financing project data and determining the project financing needs data and real-time financing needs data for each financing project, it is possible to achieve refined and phased management of needs, accurately extract current unmet needs, avoid interference from irrelevant phase needs, and improve the accuracy of needs positioning.

[0037] Example 5: Based on Example 3, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships includes a clustering module, comprising: Financing Unit: Analyze the signed agreement data and actual performance data of all projects in the real-time financing sub-data of each financing project in the real-time financing data to determine the financing data of each financing project; Financing Needs Unit: Based on the financing data of each financing project and the real-time financing needs data, determine the financing needs data of each financing project; Financing Feature Vector Unit: Extracts features from the financing demand data of all financing projects to determine the financing feature vector of each financing project and the financing feature value vector of each financing project. Real-time adjustment feature value vector unit: Based on the financing feature vector of the financing project, the real-time demand adjustment data of each financing sub-data of the real-time financing project in the real-time financing data is extracted to determine the real-time adjustment feature value vector of each financing project. Financing Adjustment Feature Value Vector Unit: Based on the financing feature value vector and the real-time adjustment feature value vector of each financing project, the financing adjustment feature value vector of each financing project is determined; Project clustering set unit: Based on the financing feature vector and financing adjustment feature value vector of all financing projects, a first cluster analysis is performed on all financing projects. Based on the results of the first cluster analysis, multiple project cluster sets and project cluster labels for each project cluster set are determined.

[0038] In this embodiment, real-time financing sub-data for each financing project is extracted from the acquired real-time financing data, and further filtered to extract all project signing data from the sub-data. For each project signing data entry, the focus is on analyzing the signing agreement data and actual performance data. The signing agreement data reflects the agreed financing scale and term, while the actual performance data reflects the actual execution status of the agreement, such as the amount received, the number of payments received, the time of receipt, the progress of performance, and the remaining unused amount. By integrating this data, the realized financing information for each financing project is calculated, and the financing data for each project is determined.

[0039] In this embodiment, based on the already funded data and real-time financing demand data for each financing project, the requirements such as the total amount and term of financing that the project currently needs to meet in the real-time financing demand data are compared and calculated with the financing results already achieved in the already funded data. For example, the amount already funded is subtracted from the amount in the real-time financing demand to obtain the financing needs that the project still needs to supplement. These unmet needs are then integrated to form the financing demand data for each financing project.

[0040] In this embodiment, a comprehensive analysis of the financing demand data for all financing projects is conducted to extract key feature dimensions from the financing demand, such as the amount of financing, the term of financing, the purpose of financing, and the acceptable interest rate range. These feature dimensions together constitute the financing feature vector of the financing project, which defines a unified feature framework describing the financing demand of the financing project. Subsequently, for each financing project, its financing demand data is mapped to each dimension of the financing feature vector, and a specific value is assigned to each dimension, forming a unique financing feature value vector for each financing project. This vector quantitatively presents the financing demand characteristics of a single project.

[0041] In this embodiment, the financing feature vector determined by the financing feature vector unit serves as a unified framework. Real-time financing sub-data for each financing project is acquired from the real-time financing data, and real-time demand adjustment data is extracted from it. This data records the adjustments made by the project to its original financing needs, such as changes in the amount and term. Then, the financing demand adjustment data is mapped to each dimension of the financing feature vector, and adjustment information under each dimension is extracted and assigned specific values, such as the magnitude of the amount adjustment and the duration of the term adjustment. These adjustment values ​​are integrated to form a real-time adjustment feature value vector for each financing project. This vector quantitatively presents the dynamic adjustment of the project's financing needs.

[0042] In this embodiment, each feature value in the financing feature value vector of each financing project and the corresponding feature value in the real-time adjustment feature value vector are added together to determine the financing adjustment feature value vector of each financing project after adjustment based on the financing demand data and the real-time demand adjustment data.

[0043] In this embodiment, a first cluster analysis is performed on all financing projects based on their financing feature vectors and financing adjustment feature value vectors. By analyzing the similarities and differences between different projects across various feature dimensions, financing projects with similar feature values ​​on the same feature dimension are grouped into the same category, forming multiple project cluster sets. Finally, for each project cluster set, the commonalities in the financing demand characteristics and adjustment characteristics of the projects within that set are summarized. For example, if a set of projects consists entirely of short-term, small-amount financing needs with low adjustment frequency, then each set is labeled with a project cluster tag to quickly identify the overall characteristics of the projects within the set.

[0044] The beneficial effects of the above technologies are as follows: Based on the real-time financing demand data and real-time financing data of all financing projects, multiple project cluster sets are determined, which can accurately reflect the actual financing results, locate the needs to be matched, avoid duplicate or missed matching, improve the accuracy of clustering, and provide a more realistic basis for project grouping for subsequent supply and demand matching.

[0045] Example 6: Based on Example 3, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships, including a clustering module, further includes: Supply Unit: Analyze the contracted agreement data and actual performance data in all supply contract data of each supplier in the real-time supply sub-data of the real-time supply data to determine the supply data of each supplier; Unsupplied Scale Unit: Based on the supplied data and supply scale data of each supplier, determine the unsupplied scale data of each supplier; Supply scale value vector unit: Extract features from the unsupplied scale data in the supply resource sub-data of all suppliers in the supply resource data to determine the supply scale vector of each supplier and the supply scale value vector of each supplier. Real-time adjustment scale value vector unit: Based on the supply scale vector of the supplier, feature extraction is performed on the real-time demand adjustment data in the real-time supply sub-data of each supplier in the real-time supply data to determine the real-time adjustment scale value vector of each supplier. Supply adjustment scale value vector unit: Based on the supply scale value vector and real-time adjustment scale value vector of each supplier, determine the supply adjustment scale value vector of each supplier; Supply demand vector unit: Extract features from the supply demand data of all suppliers in the supply resource sub-data of the supply resource data to determine the supply demand vector of each supplier and the supply demand value vector of each supplier; Supply cluster label unit: Based on the supply scale vector, supply adjustment scale value vector, supply requirement vector and supply requirement value vector of all suppliers, a second cluster analysis is performed on all suppliers. Based on the results of the second cluster analysis, multiple supply cluster sets and supply cluster labels for each supply cluster set are determined.

[0046] In this embodiment, real-time supply sub-data for each supplier is extracted from the acquired real-time supply data, and all supply contract data within the sub-data is filtered out. For each supply contract data entry, the contract agreement data and actual performance data are analyzed in depth. The contract agreement data reflects the agreed supply scale, term, and other content between the two parties, while the actual performance data reflects the actual execution of the agreement, such as the amount of funds disbursed. By integrating this data, key information such as the completed supply amount and the number of projects fulfilled by each supplier is calculated, ultimately determining the supply data for each supplier and presenting its current achieved supply results.

[0047] In this embodiment, the supply scale data in the supply resource sub-data of each supplier is used as the basis. The supply scale data is the upper limit of the total supply capacity that the supplier can provide. The total supply amount, total number of serviceable items, etc. in the supply scale data are compared with the consumed supply amount and number of serviced items in the supply data to calculate the supplier's current remaining supply amount, number of serviceable items, etc. After integration, the unsupplied scale data of each supplier is formed, reflecting its current supply capacity to be released.

[0048] In this embodiment, the unsupplied scale data of all suppliers is analyzed to extract key feature dimensions, such as the unsupplied amount range, the number of serviceable project types, and the unsupplied period range. These dimensions together constitute the supplier's supply scale vector, defining a unified framework to describe the characteristics of the supply scale. Then, for each supplier, its unsupplied scale data is mapped to each dimension of the supply scale vector, assigned specific values, forming a supply scale value vector for each supplier, quantitatively presenting its current unsupplied scale characteristics.

[0049] In this embodiment, using a supply scale vector as a unified framework, real-time supply sub-data for each supplier is obtained from the real-time supply data. Real-time demand adjustment data is extracted from this sub-data, which records how suppliers adjust their own supply scale, such as temporarily increasing unsupplied amounts or shortening the available supply period. The scale adjustment data is mapped to each dimension of the supply scale vector, and information such as the adjustment magnitude and direction is extracted and assigned specific values. This data is then integrated to form a supply adjustment scale value vector for each supplier, quantifying the dynamic adjustment characteristics of their unsupplied scale.

[0050] In this embodiment, each feature in the supply scale value vector of each supplier and the corresponding feature value in the real-time adjustment scale value vector are added together to determine the supply adjustment scale value vector of each supplier after adjustment based on the unsupplied scale data and the real-time demand adjustment data.

[0051] In this embodiment, the supply requirement data from the supply resource sub-data of all suppliers is analyzed to extract key feature dimensions, such as target project credit rating requirements, acceptable financing uses, and collateral type requirements. These dimensions constitute the supplier's supply requirement vector, defining a unified framework to describe the supply access conditions. For each supplier, its supply requirement data is mapped to each dimension of the supply requirement vector, and specific values ​​or levels are assigned to form each supplier's supply requirement value vector, quantifying its access standards for cooperative projects.

[0052] In this embodiment, the supply scale vector, supply adjustment scale value vector, supply requirement vector, and supply requirement value vector of all suppliers are used as the data foundation to describe the comprehensive characteristics of suppliers. Based on this data, a second cluster analysis is performed on all suppliers. By judging the similarity of different suppliers in each characteristic dimension, suppliers with similar characteristics are grouped into the same category, forming multiple supply cluster sets. Finally, for each set, the commonalities of suppliers within it in terms of scale, adjustment, and requirements are summarized. For example, if suppliers in a certain set all have high unsupplied amounts and lenient entry requirements, supply cluster labels are labeled accordingly to facilitate quick identification of the overall characteristics of suppliers within the set.

[0053] In this embodiment, the number of supply cluster sets is the same as the number of project cluster sets.

[0054] The beneficial effects of the above technologies are as follows: Based on supply resource data and real-time supply data, multiple supply clusters can be identified, which can accurately reflect the actual supply results of the suppliers, clarify the supply capacity to be released, avoid resource idleness or over-matching, and make supply grouping more in line with actual supply capacity and preferences, providing accurate and three-dimensional supply basis for subsequent supply and demand cluster matching.

[0055] Example 7: Based on Example 6, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships, the target module includes: Alignment Unit: Perform feature mapping on each financing feature in the financing feature vector of each financing project and each scale feature in the supply scale vector of the supplier and each requirement feature in the supply requirement vector of the supplier to determine the alignment label of each financing feature in the financing feature vector of the financing project. The alignment label includes alignment scale feature and alignment requirement feature. First Project-Supply Clustering Pair Subset Unit: Based on all project clustering sets, the project clustering labels of each project clustering set, all supply clustering sets, the supply clustering labels of each supply clustering set, and the alignment scale feature or alignment requirement feature of each financing feature in the financing feature vector of the financing project, calculate the first project-supply clustering pair subset. Project-supply cluster pair set unit: Determine whether the first project-supply cluster pair subset contains all project cluster sets. If yes, determine the first project-supply cluster pair subset as the project-supply cluster pair set. If not, perform a first re-clustering analysis on all project cluster sets not included in the first project-supply cluster pair subset. Simultaneously, perform a second re-clustering analysis on all supply cluster sets not included in the first project-supply cluster pair subset. Based on the results of the first and second re-clustering analyses and the alignment scale feature or alignment requirement feature of each financing feature in the financing feature vector of the financing project, calculate the second project-supply cluster pair subset until the first and second project-supply cluster pair subsets contain all project cluster sets. Then, determine the project-supply cluster pair set based on the first and second project-supply cluster pair subsets. Project target supply set unit: For each project-supply cluster pair in the project cluster set, the financing project sub-data of each financing project in the project cluster set is sequentially matched with the supply resource sub-data of all suppliers in the supply cluster set to perform financing supply and demand analysis and match, thereby determining the project target supply set of each financing project. The project target supply set includes multiple suppliers.

[0056] In this embodiment, each financing feature is extracted from the financing feature vector of the financing project, and each scale feature is extracted from the supply scale vector of the supply side, and each requirement feature is extracted from the supply requirement vector. By analyzing the correlation between financing features and scale and requirement features, the appropriate supply feature for each financing feature is determined, and an alignment label is assigned to each financing feature. The alignment labels are divided into two categories: alignment scale features and alignment requirement features. If a financing feature corresponds to a scale feature, it is labeled as an alignment scale feature; if it corresponds to a requirement feature, it is labeled as an alignment requirement feature. This establishes the correspondence between financing and supply features.

[0057] In this embodiment, the calculation formula for the first item-supply cluster pair subset in the first item-supply cluster pair subset unit can be expressed as: ; Wherein, PSC represents the first item-supply cluster pair set. This represents the cluster set of the a-th item. Let m be the m-th supply cluster set. This indicates that the cluster set of the a-th project and the cluster set of the m-th supply constitute a project-supply cluster pair. TH1 represents the required matching value between the cluster set of the a-th project and the cluster set of the m-th supply, and TH1 represents the required matching threshold. TH1 represents the size matching value between the cluster set of the a-th project and the cluster set of the m-th supply, and TH2 represents the size matching threshold. This represents the c-th feature value in the feature vector of the b-th financing project within the a-th project cluster set. This represents the alignment label of the c-th financing feature in the financing feature vector. This indicates that the c-th feature in the financing feature vector is aligned with the i-th scale feature in the supply scale vector. This indicates that the c-th feature in the financing feature vector aligns with the j-th requirement feature in the supply requirement vector. This represents the c-th eigenvalue in the financing-based eigenvalue vector of the n-th supplier's supply demand value vector within the m-th supply cluster set. eigenvalues, Let Nc represent the standard deviation of the c-th feature in the feature vector of all financing projects in the a-th project cluster set, and N1 represent the number of financing features in the feature vector. This represents the weight of the c-th financing feature in the financing feature vector.

[0058] In this embodiment, This represents the maximum required matching value for the cluster set of the a-th item. This represents the maximum size matching value of the cluster set of the a-th item.

[0059] In this embodiment, a matching value is required. The range of values ​​is (0,1], and the scale matches the value. The range of its value is (0,1).

[0060] In this embodiment, the weight of the c-th financing feature in the financing feature vector The value can be 0-1.

[0061] In this embodiment, the matching threshold TH1 is required to be 0.8, and the scale matching threshold TH2 is required to be 0.6.

[0062] In this embodiment, it is checked whether the first project-supply cluster pair subset contains all project cluster sets. If it does, the first project-supply cluster pair subset is directly determined as the project-supply cluster pair set; if it does not, a first re-clustering analysis is performed on the un-included project cluster sets, and a second re-clustering analysis is performed on the supply cluster sets that do not match these project clusters. Based on the re-clustered project clustering results and supply clustering results, combined with the alignment scale characteristics or alignment requirement characteristics of financing characteristics, project-supply cluster pairs that meet the matching degree are calculated to form the second project-supply cluster pair subset. This process is repeated until the generated first and second project-supply cluster pair subsets together contain all project cluster sets, and then the two sets are integrated to finally determine the project-supply cluster pair set.

[0063] In this embodiment, each project-supply cluster pair in the project-supply cluster pair set is processed sequentially. For each cluster pair's project cluster set, the financing project sub-data for each financing project is extracted; simultaneously, the supply resource sub-data for all suppliers within the supply cluster set of that cluster pair is extracted. A financing supply and demand analysis is performed on the financing project sub-data of a single financing project and the supply resource sub-data of each supplier to determine the compatibility between the two parties in terms of amount, term, requirements, etc., and suitable suppliers are selected. All suitable suppliers are aggregated to form the project target supply set for that financing project.

[0064] In this embodiment, key demand characteristics are extracted from the financing project sub-data, including the required financing amount, expected financing term, specific use of funds, acceptable financing cost range, industry of the project, credit status of the initiating entity, and available guarantee methods. Simultaneously, corresponding supply characteristics are extracted from the supply resource sub-data, covering the maximum credit line available from the supplier, financing term range, main service industry sectors, set interest rates and fee standards, credit rating requirements for partners, acceptable guarantee types, and past cooperation records of similar projects. Next, a multi-dimensional supply and demand characteristic comparison analysis is conducted: First, the basic matching conditions are checked to determine whether the supplier's upper limit covers the project's required amount, whether the term range includes the project's expected term, and whether the service industry matches the project's industry; then, the suitability details are evaluated, such as whether the project's acceptable financing cost is within the supplier's cost range, whether the initiator's credit status meets the supplier's requirements, and whether the provided guarantee method is acceptable to the supplier; finally, the success rate of similar projects in the supplier's historical supply data is combined to comprehensively determine the matching degree between the supply and demand sides, screen out suppliers that meet the matching degree, and complete the matching of financing projects with suppliers.

[0065] The beneficial effects of the above technologies are as follows: Based on all project cluster sets and all supply cluster sets, the project-supply cluster pair set is determined; based on financing project data, supply resource data, and the project-supply cluster pair set, the target supply set for each financing project is determined. This enables precise mapping between financing characteristics and supply scale and requirement characteristics, achieving a progressive process of cluster matching, completion optimization, and precise screening, thereby improving the comprehensiveness and accuracy of supply and demand matching.

[0066] Example 8: Based on Example 7, a real-time interactive system for automatically analyzing and identifying financing supply and demand relationships includes: Financing Supply Set Unit: Extract the suppliers from all project contract data in the real-time financing sub-data of each financing project in the real-time financing data to determine the financing supply set for each financing project; Real-time target supply set unit: Perform the difference operation between the project target supply set and the already financed supply set for each financing project to determine the real-time target supply set for each financing project; Scoring Unit: Reliability assessment of historical supply data in the supply resource sub-data of each supplier in the real-time target supply set of each financing project; cost assessment of supply cost data in the supply resource sub-data of each supplier in the real-time target supply set of each financing project; competitiveness score of connected supply data in all supply connection data in the real-time supply sub-data of each supplier in the real-time target supply set of each financing project. Connected Supply Set Unit: Extract the suppliers from all project connection data in the real-time financing sub-data of each financing project in the real-time financing data to determine the connected supply set for each financing project; Supply Priority Unit: Based on the reliability assessment results, cost assessment results, and competitiveness score assessment results of each supplier in the connected supply set and the real-time target supply set of each financing project, the supply priority of each supplier in the real-time target supply set of each financing project is determined. Interaction Unit: Based on the real-time target supply set of all financing projects and the supply priority of each supplier in the real-time target supply set, the unit enables real-time interaction of all financing projects based on supply and demand.

[0067] In this embodiment, all project signing data are extracted from the real-time financing sub-data of each financing project in the real-time financing data, and the corresponding suppliers in each signing data are further filtered out. These suppliers who have signed agreements with the project are summarized and organized to form the financing supply set for each financing project. This set reflects the group of suppliers who have established cooperation and completed signing for the project.

[0068] In this embodiment, a difference operation is performed based on the project target supply set and the already financed supply set for each financing project. That is, suppliers already included in the already financed supply set are removed from the project target supply set. The remaining suppliers form the real-time target supply set for each financing project. This set only retains suppliers that have not yet signed a contract with the project but are suitable, avoiding duplicate connections with suppliers who have already cooperated.

[0069] In this embodiment, for each supplier's historical supply data in the supply resource sub-data, the fulfillment rate and service efficiency of its past cooperative projects are analyzed to complete the reliability assessment; secondly, based on the supply cost data in the supply resource sub-data, such as the interest rate and handling fee of the financing services provided, the cost assessment is completed; finally, all supply connection data in the supplier's real-time supply sub-data are extracted, and the connection supply data, such as the amount provided and the response speed, are analyzed to complete the competitiveness score. Through these three types of assessments, a comprehensive evaluation data of the supplier is formed.

[0070] In this embodiment, all project connection data is extracted from the real-time financing sub-data of each financing project in the real-time financing data, and the corresponding suppliers in each connection data are filtered out. These suppliers who have established connections with the project but have not signed contracts are summarized and organized to form the connected supply set for each financing project. This set reflects the group of suppliers who have preliminary cooperation intentions for the project but have not reached a contract.

[0071] In this embodiment, based on the connected supply set of each financing project, and combined with the reliability assessment results, cost assessment results, and competitiveness score results of each supplier output by the scoring unit, the suitability value and cooperation basis of the suppliers are comprehensively analyzed. Typically, connected suppliers receive a basic priority bonus, which is then combined with multi-dimensional score ranking. Unconnected suppliers are directly ranked according to their scores, ultimately forming the supply priority of each supplier in the real-time target supply set. The priority reflects the recommended order of matching.

[0072] In this embodiment, the real-time target supply set of all financing projects and the supply priority of suppliers in each set are integrated and presented to the financing project parties and corresponding suppliers in a clear form. The financing project parties can select suppliers to initiate connection requests based on priority, and suppliers can also view projects that need them and their own priorities. Both parties can conduct real-time communication, demand confirmation, cooperation negotiation and other interactive behaviors based on this information, ultimately achieving efficient real-time connection between supply and demand.

[0073] The beneficial effects of the above technologies are as follows: Based on real-time financing data and the project target supply set of each financing project, the real-time target supply set of each financing project and the supply priority of each supplier in the real-time target supply set are determined, realizing real-time interaction of all financing projects based on supply and demand relationship, which can improve the efficiency of resource matching, take into account the matching accuracy and the timeliness of matching, and optimize the supply and demand matching experience.

[0074] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A real-time interactive system for automatically analyzing and identifying the supply and demand relationship in financing, characterized in that, include: Acquisition and Collection Module: Acquires financing project data from multiple financing projects, acquires supply resource data from multiple suppliers, collects real-time financing data from multiple financing projects, and collects real-time supply data from multiple suppliers. Analysis module: Analyzes financing project data to determine the project financing needs and real-time financing needs data for each financing project; Clustering module: Based on real-time financing demand data and real-time financing data of all financing projects, determine multiple project cluster sets; based on supply resource data and real-time supply data, determine multiple supply cluster sets. Target module: Based on all project cluster sets and all supply cluster sets, determine the project-supply cluster pair set; based on financing project data, supply resource data, and the project-supply cluster pair set, determine the target supply set for each financing project. Interaction Module: Based on real-time financing data and the project target supply set of each financing project, the module determines the real-time target supply set of each financing project and the supply priority of each supplier in the real-time target supply set, enabling real-time interaction of all financing projects based on supply and demand.

2. The real-time interactive system for automatically analyzing and identifying financing supply and demand relationships according to claim 1, characterized in that, The acquisition module includes: Financing Project Data Unit: Acquire the financing project sub-data for each financing project in the system, and determine the financing project data of the system based on the financing project sub-data of all financing projects; Supply resource data unit: Acquire supply resource sub-data for each supplier in the system, and determine the system's supply resource data based on the supply resource sub-data of all suppliers. The supply resource sub-data includes basic supply data, historical supply data of multiple historical projects, supply requirement data, supply cost data, and supply scale data.

3. The real-time interactive system for automatically analyzing and identifying financing supply and demand relationships according to claim 1, characterized in that, The acquisition module also includes: Real-time financing data unit: Collects real-time financing sub-data for each financing project in the system. Based on the real-time financing sub-data of all financing projects, the real-time financing data of the system is determined. The real-time financing sub-data includes real-time demand adjustment data, multiple project connection data, and multiple project signing data. The project connection data includes financing projects, suppliers, and connected supply data. The project signing data includes financing projects, suppliers, signed agreement data, and actual performance data. Real-time supply data unit: Collects real-time supply sub-data from each supplier in the system. Based on the real-time supply sub-data from all suppliers, the system's real-time supply data is determined. The real-time supply sub-data includes real-time demand adjustment data, multiple supply connection data, and multiple supply contract data. The supply connection data includes suppliers, financing projects, and connected supply data. The supply contract data includes suppliers, financing projects, contract data, and actual performance data.

4. A real-time interactive system for automatically analyzing and identifying financing supply and demand relationships according to claim 2, characterized in that, The analysis module includes: Project Financing Requirement Unit: Analyze the sub-data of each financing project in the financing project data to determine the project financing requirement data for each financing project. The project financing requirement data includes multiple financing stages, the stage financing requirement for each financing stage, and stage labels, which include completed, in progress, and not started. Real-time financing demand unit: Based on the stage financing demand data of each financing project, the real-time financing demand data of each financing project is determined.

5. A real-time interactive system for automatically analyzing and identifying financing supply and demand relationships according to claim 3, characterized in that, The clustering module includes: Financing Unit: Analyze the signed agreement data and actual performance data of all projects in the real-time financing sub-data of each financing project in the real-time financing data to determine the financing data of each financing project; Financing Needs Unit: Based on the financing data of each financing project and the real-time financing needs data, determine the financing needs data of each financing project; Financing Feature Vector Unit: Extracts features from the financing demand data of all financing projects to determine the financing feature vector of each financing project and the financing feature value vector of each financing project. Real-time adjustment feature value vector unit: Based on the financing feature vector of the financing project, the real-time demand adjustment data of each financing sub-data of the real-time financing project in the real-time financing data is extracted to determine the real-time adjustment feature value vector of each financing project. Financing Adjustment Feature Value Vector Unit: Based on the financing feature value vector and the real-time adjustment feature value vector of each financing project, the financing adjustment feature value vector of each financing project is determined; Project clustering set unit: Based on the financing feature vector and financing adjustment feature value vector of all financing projects, a first cluster analysis is performed on all financing projects. Based on the results of the first cluster analysis, multiple project cluster sets and project cluster labels for each project cluster set are determined.

6. A real-time interactive system for automatically analyzing and identifying financing supply and demand relationships according to claim 3, characterized in that, The clustering module also includes: Supply Unit: Analyze the contracted agreement data and actual performance data in all supply contract data of each supplier's real-time supply sub-data in the real-time supply data to determine the supply data of each supplier; Unsupplied Scale Unit: Based on the supplied data and supply scale data of each supplier, determine the unsupplied scale data of each supplier; Supply scale value vector unit: Extract features from the unsupplied scale data in the supply resource sub-data of all suppliers in the supply resource data to determine the supply scale vector of each supplier and the supply scale value vector of each supplier. Real-time adjustment scale value vector unit: Based on the supply scale vector of the supplier, feature extraction is performed on the real-time demand adjustment data in the real-time supply sub-data of each supplier in the real-time supply data to determine the real-time adjustment scale value vector of each supplier. Supply adjustment scale value vector unit: Based on the supply scale value vector and real-time adjustment scale value vector of each supplier, determine the supply adjustment scale value vector of each supplier; Supply demand vector unit: Extract features from the supply demand data of all suppliers in the supply resource sub-data of the supply resource data to determine the supply demand vector of each supplier and the supply demand value vector of each supplier; Supply cluster label unit: Based on the supply scale vector, supply adjustment scale value vector, supply requirement vector and supply requirement value vector of all suppliers, a second cluster analysis is performed on all suppliers. Based on the results of the second cluster analysis, multiple supply cluster sets and supply cluster labels for each supply cluster set are determined.

7. A real-time interactive system for automatically analyzing and identifying financing supply and demand relationships according to claim 6, characterized in that, The target module includes: Alignment Unit: Perform feature mapping on each financing feature in the financing feature vector of each financing project and each scale feature in the supply scale vector of the supplier and each requirement feature in the supply requirement vector of the supplier to determine the alignment label of each financing feature in the financing feature vector of the financing project. The alignment label includes alignment scale feature and alignment requirement feature. First Project-Supply Clustering Pair Subset Unit: Based on all project clustering sets, the project clustering labels of each project clustering set, all supply clustering sets, the supply clustering labels of each supply clustering set, and the alignment scale feature or alignment requirement feature of each financing feature in the financing feature vector of the financing project, calculate the first project-supply clustering pair subset. Project-supply cluster pair set unit: Determine whether the first project-supply cluster pair subset contains all project cluster sets. If yes, determine the first project-supply cluster pair subset as the project-supply cluster pair set. If not, perform a first re-clustering analysis on all project cluster sets not included in the first project-supply cluster pair subset. Simultaneously, perform a second re-clustering analysis on all supply cluster sets not included in the first project-supply cluster pair subset. Based on the results of the first and second re-clustering analyses and the alignment scale feature or alignment requirement feature of each financing feature in the financing feature vector of the financing project, calculate the second project-supply cluster pair subset until the first and second project-supply cluster pair subsets contain all project cluster sets. Then, determine the project-supply cluster pair set based on the first and second project-supply cluster pair subsets. Project target supply set unit: For each project-supply cluster pair in the project cluster set, the financing project sub-data of each financing project in the project cluster set is sequentially matched with the supply resource sub-data of all suppliers in the supply cluster set to perform financing supply and demand analysis and match, thereby determining the project target supply set of each financing project. The project target supply set includes multiple suppliers.

8. A real-time interactive system for automatically analyzing and identifying financing supply and demand relationships according to claim 7, characterized in that, Interactive modules, including: Financing Supply Set Unit: Extract the suppliers from all project contract data in the real-time financing sub-data of each financing project in the real-time financing data to determine the financing supply set for each financing project; Real-time target supply set unit: Perform the difference operation between the project target supply set and the already financed supply set for each financing project to determine the real-time target supply set for each financing project; Scoring Unit: Reliability assessment of historical supply data in the supply resource sub-data of each supplier in the real-time target supply set of each financing project; cost assessment of supply cost data in the supply resource sub-data of each supplier in the real-time target supply set of each financing project; competitiveness score of connected supply data in all supply connection data in the real-time supply sub-data of each supplier in the real-time target supply set of each financing project. Connected Supply Set Unit: Extract the suppliers from all project connection data in the real-time financing sub-data of each financing project in the real-time financing data to determine the connected supply set for each financing project; Supply Priority Unit: Based on the reliability assessment results, cost assessment results, and competitiveness score assessment results of each supplier in the connected supply set and the real-time target supply set of each financing project, the supply priority of each supplier in the real-time target supply set of each financing project is determined. Interaction Unit: Based on the real-time target supply set of all financing projects and the supply priority of each supplier in the real-time target supply set, the unit enables real-time interaction of all financing projects based on supply and demand.

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