Supplier intelligent matching cooperation method for enterprise purchase data

Abstract

The invention relates to the technical field of enterprise supply chain management, in particular to a supplier intelligent matching collaboration method for enterprise purchase data. A supplier intelligent matching cooperation method for enterprise purchase data comprises the following steps that S1, enterprise emergency purchase demand data, enterprise historical purchase data and current market data are collected, and the emergency purchase demand data comprise emergency material types, emergency material quantity, delivery time and emergency quality standard data; s2, supplier information is acquired according to the historical purchasing data of the enterprise, stock material data of the supplier information is collected, and the supplier information meeting the preliminary requirements is divided as a first-level supplier group; according to the invention, by integrating the enterprise emergency purchase demand, the historical purchase data and the market dynamic information, an intelligent supplier screening and online bidding mechanism is constructed, and the supplier matching efficiency and accuracy are significantly improved.

Description

Technical Field

[0001] This invention relates to the field of enterprise supply chain management technology, and in particular to a method for intelligent matching and collaboration of suppliers for enterprise procurement data. Background Technology

[0002] In enterprise procurement management, traditional supplier matching methods typically rely on manual screening and static price comparisons, making it difficult to efficiently handle urgent procurement needs and dynamic market changes. Historical procurement data, real-time market information, and supplier inventory data are often scattered across different systems, resulting in a lack of data-driven support for procurement decisions. This easily leads to problems such as low supplier matching efficiency, uncontrollable procurement costs, and delivery delays. Especially in urgent procurement scenarios, traditional methods struggle to quickly identify suppliers that meet quality, delivery time, and cost requirements, impacting the stability of the enterprise's supply chain.

[0003] Therefore, there is an urgent need to develop a smart supplier matching and collaboration method for enterprise procurement data to solve the problems of information fragmentation, low screening efficiency, and inflexible bidding mechanisms in traditional models. By improving procurement collaboration efficiency, reducing enterprise operating costs, and ensuring the resilience and stability of the supply chain in emergency procurement scenarios, this approach can be effective. Summary of the Invention

[0004] To overcome the shortcomings of traditional supplier matching methods, such as reliance on manual screening, information fragmentation leading to inefficiency, and static price comparison mechanisms being unable to adapt to dynamic needs of urgent procurement and market changes, resulting in inaccurate supplier matching, uncontrollable procurement costs, and delivery delays, this invention provides a smart supplier matching and collaboration method for enterprise procurement data.

[0005] The technical implementation scheme of the present invention is as follows: a supplier intelligent matching and collaboration method for enterprise procurement data, comprising the following steps: S1: Collect enterprise emergency procurement demand data, enterprise historical procurement data and current market data. The emergency procurement demand data includes emergency material type, emergency material quantity, delivery time and emergency quality standard data. S2: Obtain supplier information based on the company's historical procurement data, collect inventory data of the supplier information, and classify the supplier information that meets the preliminary requirements into a first-tier supplier group; S3: Obtain remaining procurement demand data by combining the emergency procurement demand data with the inventory data of the primary supplier group, and then screen suppliers based on the remaining procurement demand data; S4: If supplier screening is not required, invite Tier 1 suppliers to participate in the online auction and dynamically adjust the starting price and price reduction rules of the online auction. If supplier screening is required, collect information on potential suppliers who meet the preliminary requirements. S5: Based on the candidate supplier information, select a group of secondary suppliers that meet the final requirements, and invite the group of secondary suppliers to participate in the online auction simultaneously; S6: When the auction termination conditions are met, the auction will be automatically terminated, the record result data will be obtained, and a second online auction will be started using the record result data and the emergency procurement demand data.

[0006] Preferably, the data collected includes enterprise emergency procurement needs data, enterprise historical procurement data, and current market data. The emergency procurement needs data includes emergency material types, quantities, delivery times, and emergency quality standards data, comprising: the emergency procurement needs data being the essential material data that the enterprise needs to procure in an emergency; the enterprise historical procurement data being records of the procurement of the essential material data in historical procurement records, including historical material types, historical material prices, historical delivery times, and historical supplier information; and the current market data being the price quotes for the essential material in the current market, including the current market price and the cost price of the corresponding quality standards data.

[0007] Preferably, the step of obtaining supplier information based on the company's historical procurement data, collecting inventory data of the supplier information, and classifying supplier information that meets the preliminary requirements into a first-tier supplier group includes: obtaining supplier information that has traded the emergency material type through historical material types and historical supplier information in the company's historical procurement data, and obtaining the corresponding inventory data of the supplier information, wherein the inventory data includes inventory material type, inventory material quantity, and inventory quality standard data; the preliminary requirements are that there is an emergency material type among the inventory material types, the historical delivery time meets the delivery time, and the inventory quality standard data meets the standards, and supplier information that meets the preliminary requirements is a first-tier supplier group.

[0008] Preferably, the step of obtaining remaining procurement demand data by comparing the emergency procurement demand data with the inventory data of the primary supplier group, and then screening suppliers based on the remaining procurement demand data, includes: matching the emergency material type with the inventory material type, obtaining the remaining procurement material quantity by subtracting the inventory material quantity from the emergency material quantity, updating the emergency procurement demand data based on the remaining procurement material quantity to obtain the remaining procurement demand data; the remaining procurement demand data includes the remaining material type, remaining procurement material quantity, delivery time, and emergency quality standard data, and other data besides the remaining procurement material quantity are obtained from the emergency procurement demand data; and supplier screening is performed based on the remaining procurement material quantity in the remaining procurement demand data.

[0009] Preferably, if supplier screening is not required, a group of Tier 1 suppliers is invited to participate in the online auction, and the starting price and price reduction rules of the online auction are dynamically adjusted. If supplier screening is required, information on potential suppliers that meet the preliminary requirements is collected, including: if the remaining quantity of materials in the remaining procurement demand data is less than or equal to zero, supplier screening is not required, and the Tier 1 supplier group is directly invited to participate in the online auction; the dynamic adjustment of the starting price of the online auction is based on the emergency procurement demand data, the company's historical data, and the current market data to dynamically adjust the starting price of the materials; the price reduction rules include the supplier's maximum single price reduction, the supplier's minimum bid, and a fixed price; if the remaining quantity of materials in the remaining procurement demand data is greater than zero, supplier screening is required, a group of suppliers that meet the preliminary requirements is collected, the supplier group is designated as the potential supplier group, and the inventory data of the potential supplier group is collected.

[0010] Preferably, the dynamic adjustment of the starting price of the online auction is based on urgent procurement demand data, enterprise historical data, and current market data to dynamically adjust the starting price of the materials, including: obtaining the delivery time based on the urgent procurement demand data, whereby the delivery time is used to obtain a delivery time urgency factor; obtaining historical material prices based on the enterprise historical data, and obtaining the starting price by referring to the historical material prices; obtaining the current market price and the cost price of the corresponding quality standard data based on the current market data, and obtaining the starting price by referring to the current market price and the cost price of the corresponding quality standard data, wherein the algorithm formula for obtaining the starting price is: ; in The starting price; As a factor for delivery time urgency; This is the current market price; Historical procurement prices; The cost price corresponding to the quality standard data; Preset values ​​for numerical values; Adjust the parameters for the weights, and .

[0011] Preferably, the price reduction rules include the supplier's maximum single price reduction, the supplier's minimum bid, and a fixed price, including: the supplier's maximum single price reduction is a measure to prevent some suppliers from maliciously reducing prices and affecting the procurement process; the supplier's minimum bid is the lowest bid offered by the supplier based on its own costs, and the supplier's minimum bid does not participate in the change of the auction price; the fixed price is the starting price after a preset number of maximum price reductions, wherein the algorithm formula for obtaining the maximum price reduction is: ; ; in This represents the maximum price reduction. Preset price reduction range; This is the current market price; Historical procurement prices; Percentage value; To update the quote; The current bid price is used if no bids have been submitted yet; the updated bid price is the next bid generated by the supplier based on the current bid price. When a new round of bidding begins, the next bid price will override the current bid price.

[0012] Preferably, the step of screening a group of secondary suppliers that meet the final requirements based on the candidate supplier information and inviting the secondary supplier group to participate in the online auction simultaneously includes: the final requirement is to obtain corresponding supplier credit data through the candidate supplier information, obtain supplier credit scores based on the supplier credit data, and select suppliers whose credit scores meet the requirements; the supplier credit data includes on-time attendance data, quality incident data, and customer evaluation data; the candidate supplier group that meets the final requirements is classified as a secondary supplier group, and the secondary supplier group is invited to participate in the organized online auction together with the primary supplier group.

[0013] Preferably, the auction is automatically terminated when the auction termination condition is met, and the recorded result data is obtained. A second online auction is then initiated using the recorded result data and the emergency procurement demand data. This includes: the auction termination condition being a measure to end the auction process early, including a first termination condition, a second termination condition, and a third termination condition; triggering any one of these conditions will end the auction early; the recorded result data includes the supplier who provided the lowest bid and their corresponding inventory data, and the supplier who accepted the final auction price and their corresponding inventory data; the recorded result data includes the agreed material type, agreed material quantity, agreed material price, agreed delivery time, agreed quality standard data, and bidding supplier information; the agreed material price includes the supplier's lowest bid and the final auction price; if the total agreed material quantity is greater than or equal to the emergency material quantity, it indicates that a second online auction is not required, and emergency procurement is conducted based on the recorded result data; if the total agreed material quantity is less than the emergency material quantity, it indicates that a second online auction is required, and the delivery time of the emergency procurement demand data is updated based on the time of the second online auction, and the emergency material quantity is updated based on the difference in material quantities.

[0014] Preferably, the auction termination condition is a measure to end the auction process early, including a first termination condition, a second termination condition, and a third termination condition. Triggering any one of the termination conditions will end the auction early, including: The first termination condition is a round-limited termination condition. When the number of auction rounds reaches a preset value, the auction will automatically terminate to prevent unlimited bidding. The second termination condition is a cost constraint termination condition, which automatically terminates the auction when the supplier's bid is lower than the cost price of the corresponding quality standard data in the current market data; The third termination condition is the fixed-price termination condition, which automatically terminates the auction when the starting price has been reduced by the maximum preset number of times.

[0015] The present invention has the following advantages: By integrating enterprises' urgent procurement needs, historical procurement data and market dynamic information, the present invention constructs an intelligent supplier screening and online bidding mechanism, which not only significantly improves the efficiency and accuracy of supplier matching and shortens the procurement cycle, but also effectively optimizes procurement costs by dynamically adjusting the starting price and price reduction rules. At the same time, the auction termination conditions ensure the rationality of the bidding process, and ultimately achieve a dual improvement in enterprise procurement collaboration efficiency and supply chain resilience. Attached Figure Description

[0016] Figure 1 This is a flowchart of the intelligent supplier matching and collaboration method for enterprise procurement data according to the present invention; Figure 2 This is a flowchart of the auction process for this invention. Detailed Implementation

[0017] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0018] Example: A supplier intelligent matching and collaboration method for enterprise procurement data, such as... Figure 1 and Figure 2 As shown, it includes the following steps: S1: Collect enterprise emergency procurement demand data, enterprise historical procurement data and current market data. The emergency procurement demand data includes emergency material type, emergency material quantity, delivery time and emergency quality standard data. The emergency procurement demand data refers to the essential materials that the enterprise needs to purchase in an emergency; the enterprise's historical procurement data refers to the records of the purchase of the essential materials in the historical procurement records, including historical material types, historical material prices, historical delivery times, and historical supplier information; the current market data refers to the price of the essential materials in the current market, including the current market price and the cost price of the corresponding quality standard data.

[0019] It should also be noted that the aforementioned emergency procurement demand data refers to the set of critical material information that enterprises must quickly obtain when responding to sudden operational needs. This includes the type of emergency material, the quantity of emergency material, the delivery time, and the emergency quality standard data. Historical procurement data comprehensively records the enterprise's past procurement records of similar materials, covering historical material types, historical material prices, historical delivery times, and historical supplier information. Meanwhile, current market dynamics data reflects the real-time market conditions of relevant materials, including the current market price and the cost price of the corresponding quality standard data, providing an objective market reference for procurement decisions. The cost price of the corresponding quality standard data is obtained through public market databases or industry reports. Through cross-validation and comprehensive analysis of these three types of data, the timeliness requirements, cost control objectives, and quality assurance needs of procurement operations are effectively balanced, forming a scientific and comprehensive procurement decision support system.

[0020] S2: Obtain supplier information based on the company's historical procurement data, collect inventory data of the supplier information, and classify the supplier information that meets the preliminary requirements into a first-tier supplier group; By obtaining the supplier information that has traded the emergency material type from the enterprise's historical procurement data and historical material types and supplier information, the corresponding inventory material data is obtained from the supplier information. The inventory material data includes the inventory material type, inventory material quantity, and inventory quality standard data. The preliminary requirements are that there is an emergency material type among the inventory material types, the historical delivery time meets the delivery time, and the inventory quality standard data meets the standards. Supplier information that meets the preliminary requirements is a first-tier supplier group.

[0021] It should also be noted that the enterprise's supplier screening mechanism establishes a complete supplier resource database by analyzing material classification data and supplier transaction information in historical procurement records. Based on this database, potential suppliers who have successfully delivered target product categories are identified, and their current inventory data is obtained, including inventory material types, quantities, and quality standards. This inventory data is obtained directly through the supplier management system or API interface.

[0022] Based on this, three core screening criteria are established: the supplier's existing inventory must include the material types specified in the urgent procurement demand; the supplier's promised delivery cycle must meet the delivery time requirements; and the supplier's inventory quality standard data must meet the urgent quality standard data. Only suppliers that simultaneously meet these three basic conditions will be included in the priority Tier 1 supplier group.

[0023] S3: Obtain remaining procurement demand data by combining the emergency procurement demand data with the inventory data of the primary supplier group, and then screen suppliers based on the remaining procurement demand data; Based on the matching of emergency material types with inventory material types, the remaining procurement material quantity is obtained by subtracting the inventory material quantity from the emergency material quantity. The emergency procurement demand data is then updated based on the remaining procurement material quantity to obtain the remaining procurement demand data. The remaining procurement demand data includes the remaining material type, remaining procurement material quantity, delivery time, and emergency quality standard data. Other data in the remaining procurement demand data, except for the remaining procurement material quantity, are obtained from the emergency procurement demand data. Suppliers are then selected based on the remaining procurement material quantity in the remaining procurement demand data.

[0024] It should also be noted that when dealing with emergency procurement needs, the types of materials in the emergency procurement request are matched and verified against the inventory list of the primary suppliers. The remaining quantity of materials to be procured is generated by calculating the difference between the quantity of emergency materials and the quantity of inventory materials. The remaining procurement request data fully retains the key attributes of the original request, with only the remaining material type and quantity fields being dynamically updated based on the actual shortage.

[0025] Based on this, the system intelligently determines whether a second round of supplier selection is needed, taking into account the remaining quantity and urgency of the materials in the remaining procurement demand data. This decision-making mechanism ensures comprehensive coverage and timely supply of emergency materials, and optimizes resource allocation through a tiered procurement strategy.

[0026] S4: If supplier screening is not required, invite Tier 1 suppliers to participate in the online auction and dynamically adjust the starting price and price reduction rules of the online auction. If supplier screening is required, collect information on potential suppliers who meet the preliminary requirements. If the remaining quantity of materials in the remaining procurement demand data is less than or equal to zero, no supplier screening is required, and a group of primary suppliers will be directly invited to participate in an online auction. The starting price of the online auction will be dynamically adjusted based on the emergency procurement demand data, the company's historical data, and the current market data. The price reduction rules include the maximum single price reduction by the supplier, the supplier's minimum bid, and a fixed price. If the remaining quantity of materials in the remaining procurement demand data is greater than zero, supplier screening is required. A group of suppliers that meet the initial requirements will be collected, and this group will be designated as a candidate supplier group. The inventory data of the candidate supplier group will be collected.

[0027] The delivery time is obtained based on the urgent procurement demand data, and this delivery time is used to obtain a delivery time urgency factor; historical material prices are obtained based on the company's historical data, and the starting bid price is obtained by referring to these historical material prices; the current market price and the cost price of the corresponding quality standard data are obtained based on the current market data, and the starting bid price is obtained by referring to the current market price and the cost price of the corresponding quality standard data, wherein the algorithm formula for obtaining the starting bid price is: ; in The starting price; As a factor for delivery time urgency; This is the current market price; Historical procurement prices; The cost price corresponding to the quality standard data; Preset values ​​for numerical values; Adjust the parameters for the weights, and .

[0028] The maximum single price reduction by a supplier is a measure to prevent malicious price reductions by some suppliers from affecting the procurement process; the minimum bid by a supplier is the lowest bid offered by the supplier based on its own costs, and the minimum bid does not participate in changes to the auction price; the fixed price is the starting price after a preset number of maximum price reductions, wherein the algorithm formula for obtaining the maximum price reduction is: ; ; in This represents the maximum price reduction. Preset price reduction range; This is the current market price; Historical procurement prices; Percentage value; To update the quote; The current bid price is used if no bids have been submitted yet; the updated bid price is the next bid generated by the supplier based on the current bid price. When a new round of bidding begins, the next bid price will override the current bid price.

[0029] It should also be noted that in the emergency procurement process, when the remaining demand for materials is zero or negative, it indicates that the existing supplier inventory fully covers the procurement needs. In this case, the secondary screening process will be skipped, and the process will directly enter the competitive bidding stage. To ensure price reasonableness, a dynamic pricing mechanism will be used to set the starting price for the auction. This pricing mechanism comprehensively considers factors such as the urgency of delivery time, the current market price, historical procurement prices, and the cost price of corresponding quality standard data. A weighted fusion algorithm will be used to calculate the starting price. The starting bid price is calculated using a formula; the delivery time urgency factor is included. The delivery time from the aforementioned emergency procurement demand data is obtained after Min-Max normalization. During normalization, the time baseline value is derived from the longest and shortest transaction times in the company's historical procurement data; the shorter the delivery time, the lower the normalized value. Historical procurement prices... The historical material prices in the enterprise's historical data; preset numerical values. Based on Bayesian dynamic adjustment, the initial preset value is set to the 95th quantile of the weighted posterior distribution of the historical price reduction success rate (e.g., 5%), ensuring a balance between empirical benchmarks and risk control. The initial value defaults to 2. Weighting coefficients in the starting price calculation. Principal component analysis was used to obtain the covariance matrix. Before calculating the covariance matrix, the three columns of data in the observation sample matrix were first standardized by Z-score to eliminate the influence of dimensional differences on the analysis results. The observation sample matrix was constructed based on the company's historical procurement data. The covariance matrix of this matrix and its eigenvalues ​​and eigenvectors were calculated. The absolute values ​​of each component in the eigenvector of the first principal component were used as the initial values ​​of the weights of each indicator. After normalization, the final weights were obtained.

[0030] The auction mechanism is designed to maintain market order and procurement efficiency. A maximum price reduction is set for each round; this parameter is derived through a correlation analysis of the preset price reduction range, current market price, and historical procurement prices. The calculation formula is used to obtain the price reduction amount. To ensure a reasonable maximum price reduction, the benchmark is set at the range with the highest historical sales growth rate following price reductions (e.g., 4%-6%), dynamically adjusted based on the current inventory turnover rate. The final preset price reduction is 5%, the midpoint of this range, with an initial default value of 5%. (Percentage value) To achieve 100%, the calculated value is converted into a percentage. A minimum bid mechanism is introduced, allowing suppliers to submit their lowest bid floor. This minimum bid floor is directly reported to the company and not displayed during the auction. This minimum bid is recorded in the final results. Suppliers will submit different minimum bids based on their product's cost price. If the bidding fails to reach a transaction after the maximum number of preset adjustments, a fixed-price transaction procedure is initiated. Based on the average number of price reductions required to reach the sales target during historical promotional cycles (e.g., 3 times), and considering a 20% increase in current market volatility, the preset number of price reductions for this cycle is 4. The default preset value is 2, which is dynamically adjusted according to the company's needs.

[0031] If the remaining demand is positive, the search for second-tier suppliers begins. This process involves widely recruiting qualified suppliers through a digital procurement platform and verifying their inventory capacity and delivery conditions. By establishing a multi-tiered supplier reserve system, supply chain resilience is ensured in emergency situations. This entire mechanism achieves precise matching of supply and demand, ensuring timely supply of materials while continuously optimizing overall procurement efficiency.

[0032] This tiered processing mechanism reflects the trend towards refined supply chain management. By breaking down emergency procurement into multiple standardized modules—demand confirmation, supplier matching, and intelligent bidding—it ensures rapid emergency response and optimizes resource allocation through market competition. Furthermore, the established dynamic pricing adapts to procurement scenarios with varying levels of urgency, finding the optimal balance between crisis management and cost control.

[0033] S5: Based on the candidate supplier information, select a group of secondary suppliers that meet the final requirements, and invite the group of secondary suppliers to participate in the online auction simultaneously; The final requirement is to obtain the corresponding supplier credit data through the candidate supplier information, obtain the supplier credit score based on the supplier credit data, and obtain supplier information with a qualified supplier credit score; the supplier credit data includes on-time attendance data, quality incident data, and customer evaluation data; the candidate supplier group that meets the final requirement is classified as the second-level supplier group, and the second-level supplier group is invited to participate in the organized online auction together with the first-level supplier group.

[0034] It should also be noted that when identifying the second-tier supplier group, the supplier's creditworthiness is the core evaluation criterion. Data on supplier on-time performance, quality incidents, and customer reviews are collected. The collected data undergoes Z-score standardization to eliminate the impact of dimensional differences on the results. The processed data is then normalized using Min-Max to obtain the final supplier credit score. Higher on-time performance data results in a larger normalized score; higher quality incident data results in a smaller normalized score; and more positive customer reviews result in a larger normalized score. For example, only suppliers with a credit score higher than 0.8 are formally included in the second-tier supplier resource group. This group will participate in the online bidding process alongside previously qualified first-tier suppliers. This method ensures that all suppliers entering the auction stage possess reliable contract fulfillment capabilities and good business reputation.

[0035] S6: When the auction termination conditions are met, the auction will be automatically terminated, the record result data will be obtained, and a second online auction will be started using the record result data and the emergency procurement demand data.

[0036] The auction termination conditions are measures to end the auction process early, including a first termination condition, a second termination condition, and a third termination condition. Triggering any one of these conditions will end the auction early. The recorded result data includes the supplier who provided the lowest bid and their corresponding inventory data, as well as the supplier who accepted the final auction price and their corresponding inventory data. The recorded result data includes the agreed material type, agreed material quantity, agreed material price, agreed delivery time, agreed quality standard data, and bidding supplier information. The agreed material price includes the supplier's lowest bid and the final auction price. If the total agreed material quantity is greater than or equal to the emergency material quantity, it indicates that a second online auction is not required, and emergency procurement is carried out based on the recorded result data. If the total agreed material quantity is less than the emergency material quantity, it indicates that a second online auction is required. The delivery time of the emergency procurement demand data is updated based on the time of the second online auction, and the emergency material quantity is updated based on the difference in material quantities.

[0037] The first termination condition is a round-limited termination condition. When the number of auction rounds reaches a preset value, the auction will automatically terminate to prevent unlimited bidding. The second termination condition is a cost constraint termination condition, which automatically terminates the auction when the supplier's bid is lower than the cost price of the corresponding quality standard data in the current market data; The third termination condition is the fixed-price termination condition, which automatically terminates the auction when the starting price has been reduced by the maximum preset number of times.

[0038] It should also be noted that in the design of the auction mechanism, the setting of reasonable termination conditions plays a crucial role in maintaining transaction order and ensuring procurement efficiency. This plan establishes three complementary termination mechanisms, which together constitute a complete closed-loop management framework for the auction.

[0039] The first approach is a bidding round cap mechanism. This involves setting a maximum bidding round threshold. When the actual number of bids reaches this preset limit, the transaction is immediately terminated. This maximum bidding round threshold is based on the historical average number of rounds required for a successful bid (e.g., 5 rounds) multiplied by an industry volatility coefficient (e.g., 1.2), combined with a budget consumption rate warning line, setting the maximum bidding round threshold to 6 rounds. This design effectively avoids efficiency losses caused by unlimited bidding and ensures the timeliness of the procurement process.

[0040] The second mechanism is a cost protection mechanism. Using the cost price of the corresponding quality standard data in the current market as a reference, the auction will be automatically terminated when the supplier's bid is lower than the lowest production cost of similar quality materials in the current market. This mechanism effectively prevents quality risks caused by excessive price pressure while maintaining reasonable profit margins for suppliers, achieving an organic balance between cost control and quality assurance.

[0041] The third type is a fixed-price trigger mechanism, where, for example, the transaction will be automatically completed after the initial price has undergone two consecutive adjustments to the maximum allowed decrease. This design provides ample room for price discovery while avoiding transaction costs incurred from repeated price negotiations.

[0042] After the auction process concludes, a complete transaction file will be automatically generated, containing data on the agreed-upon material type, quantity, price, delivery time, quality standards, and bidding supplier information. If the total procurement volume reaches the target, the process will directly enter the fulfillment phase. If a quantity shortfall exists, a second round of auctions will be initiated, dynamically adjusting the procurement volume and delivery time requirements based on the actual shortfall. This flexible mechanism ensures the successful completion of urgent procurement tasks. This multi-tiered termination condition design not only considers the timeliness requirements of the purchaser but also takes into account the sustainable development of the supply chain, maintaining a healthy supplier base while ensuring the supply of materials.

[0043] Although this disclosure has been shown and described with reference to specific exemplary embodiments thereof, those skilled in the art will understand that various changes in form and detail may be made to this disclosure without departing from the spirit and scope of the disclosure as defined by the appended claims and their equivalents. Therefore, the scope of this disclosure should not be limited to the above embodiments, but should be defined not only by the appended claims, but also by their equivalents.

Claims

1. A supplier intelligent matching and collaboration method for enterprise procurement data, characterized in that, Includes the following steps: S1: Collect enterprise emergency procurement demand data, enterprise historical procurement data and current market data. The emergency procurement demand data includes emergency material type, emergency material quantity, delivery time and emergency quality standard data. S2: Obtain supplier information based on the company's historical procurement data, collect inventory data of the supplier information, and classify the supplier information that meets the preliminary requirements into a first-tier supplier group; S3: Obtain remaining procurement demand data by combining the emergency procurement demand data with the inventory data of the primary supplier group, and then screen suppliers based on the remaining procurement demand data; S4: If supplier screening is not required, invite Tier 1 suppliers to participate in the online auction and dynamically adjust the starting price and price reduction rules of the online auction. If supplier screening is required, collect information on potential suppliers who meet the preliminary requirements. S5: Based on the candidate supplier information, select a group of secondary suppliers that meet the final requirements, and invite the group of secondary suppliers to participate in the online auction simultaneously; S6: When the auction termination conditions are met, the auction will be automatically terminated, the record result data will be obtained, and a second online auction will be started using the record result data and the emergency procurement demand data.

2. The supplier intelligent matching and collaboration method for enterprise procurement data according to claim 1, characterized in that, The data collected includes enterprise emergency procurement needs, enterprise historical procurement data, and current market data. The emergency procurement needs data includes emergency material types, quantities, delivery times, and emergency quality standards. Specifically, the emergency procurement needs data represents essential materials that an enterprise needs to procure in an emergency; the enterprise historical procurement data consists of records of the procurement of these essential materials, including historical material types, prices, delivery times, and supplier information; and the current market data represents the current market prices for these essential materials, including the current market price and the cost price corresponding to the quality standards.

3. A supplier intelligent matching and collaboration method for enterprise procurement data as described in claim 1, characterized in that, The process of obtaining supplier information based on the company's historical procurement data, collecting inventory data of the supplier information, and classifying supplier information that meets preliminary requirements into a first-tier supplier group includes: obtaining supplier information that has traded the emergency material type through historical material types and historical supplier information in the company's historical procurement data; obtaining the corresponding inventory data of the supplier information, wherein the inventory data includes inventory material type, inventory quantity, and inventory quality standard data; the preliminary requirements are that there is an emergency material type among the inventory material types, the historical delivery time meets the delivery time, and the inventory quality standard data meets the standards; supplier information that meets the preliminary requirements is a first-tier supplier group.

4. A supplier intelligent matching and collaboration method for enterprise procurement data as described in claim 1, characterized in that, The process of obtaining remaining procurement demand data by comparing the emergency procurement demand data with the inventory data of the primary supplier group, and then screening suppliers based on the remaining procurement demand data, includes: matching emergency material types with inventory material types; subtracting the inventory material quantity from the emergency material quantity to obtain the remaining procurement material quantity; updating the emergency procurement demand data based on the remaining procurement material quantity to obtain the remaining procurement demand data; the remaining procurement demand data includes remaining material type, remaining procurement material quantity, delivery time, and emergency quality standard data; other data in the remaining procurement demand data besides the remaining procurement material quantity are obtained from the emergency procurement demand data; and screening suppliers based on the remaining procurement material quantity in the remaining procurement demand data.

5. A supplier intelligent matching and collaboration method for enterprise procurement data as described in claim 1, characterized in that, If supplier screening is not required, a group of Tier 1 suppliers will be invited to participate in the online auction, and the starting price and price reduction rules of the online auction will be dynamically adjusted. If supplier screening is required, information on potential suppliers that meet the preliminary requirements will be collected, including: if the remaining quantity of materials in the remaining procurement demand data is less than or equal to zero, supplier screening is not required, and the Tier 1 suppliers will be directly invited to participate in the online auction; the starting price of the online auction will be dynamically adjusted based on the emergency procurement demand data, the company's historical data, and the current market data; the price reduction rules include the maximum single price reduction by the supplier, the minimum bid by the supplier, and a fixed price; if the remaining quantity of materials in the remaining procurement demand data is greater than zero, supplier screening is required, a group of suppliers that meet the preliminary requirements will be collected, and the supplier group will be designated as the potential supplier group, and the inventory data of the potential supplier group will be collected.

6. A supplier intelligent matching and collaboration method for enterprise procurement data according to claim 5, characterized in that, The dynamically adjusted starting price of the online auction is determined based on urgent procurement demand data, historical enterprise data, and current market data. This includes: obtaining the delivery time from the urgent procurement demand data, where the delivery time is used to determine the urgency factor; obtaining historical material prices from the historical enterprise data, and using these historical prices as a reference to determine the starting price; and obtaining the current market price and the corresponding cost price based on the current market data, and using these costs as a reference to determine the starting price. The algorithm formula for determining the starting price is as follows: ； in The starting price; As a factor for delivery time urgency; This is the current market price; Historical procurement prices; The cost price corresponding to the quality standard data; Preset values ​​for numerical values; Adjust the parameters for the weights, and .

7. A supplier intelligent matching and collaboration method for enterprise procurement data according to claim 5, characterized in that, The price reduction rules include the supplier's maximum single price reduction, the supplier's minimum bid, and a fixed price. Specifically: the maximum single price reduction is a measure to prevent malicious price reductions by some suppliers from affecting the procurement process; the minimum bid is the lowest bid offered by the supplier based on its own costs, and this minimum bid does not affect the auction price; the fixed price is the starting price after a preset number of maximum price reductions. The algorithm formula for obtaining the maximum price reduction is: ； ； in This represents the maximum price reduction. Preset price reduction range; This is the current market price; Historical procurement prices; Percentage value; To update the quote; The current bid price is used if no bids have been submitted yet; the updated bid price is the next bid generated by the supplier based on the current bid price. When a new round of bidding begins, the next bid price will override the current bid price.

8. A supplier intelligent matching and collaboration method for enterprise procurement data according to claim 1, characterized in that, The step of selecting a group of secondary suppliers that meet the final requirements based on the candidate supplier information and inviting the secondary supplier group to participate in the online auction includes: the final requirement is to obtain the corresponding supplier credit data through the candidate supplier information, obtain a supplier credit score based on the supplier credit data, and select suppliers whose credit scores are qualified; the supplier credit data includes on-time attendance data, quality incident data, and customer evaluation data; the candidate supplier group that meets the final requirements is classified as the secondary supplier group, and the secondary supplier group is invited to participate in the organized online auction together with the primary supplier group.

9. A supplier intelligent matching and collaboration method for enterprise procurement data according to claim 1, characterized in that, The auction is automatically terminated when the termination conditions are met, and the recorded result data is obtained. A second online auction is then initiated based on the recorded result data and the emergency procurement demand data. This includes: the auction termination conditions being measures to end the auction process early, including a first termination condition, a second termination condition, and a third termination condition; triggering any one of these conditions will end the auction early; the recorded result data includes the supplier providing the lowest bid and its corresponding inventory data, and the supplier accepting the final auction price and its corresponding inventory data; the recorded result data includes the agreed material type, agreed material quantity, agreed material price, agreed delivery time, agreed quality standard data, and bidding supplier information; the agreed material price includes the supplier's lowest bid and the final auction price; if the total agreed material quantity is greater than or equal to the emergency material quantity, it indicates that a second online auction is not needed, and emergency procurement is conducted based on the recorded result data; if the total agreed material quantity is less than the emergency material quantity, it indicates that a second online auction is needed, and the delivery time of the emergency procurement demand data is updated based on the time of the second online auction, and the emergency material quantity is updated based on the difference in material quantities.

10. A supplier intelligent matching and collaboration method for enterprise procurement data according to claim 9, characterized in that, The auction termination conditions are measures to end the auction process early, including a first termination condition, a second termination condition, and a third termination condition. Triggering any one of these termination conditions will end the auction early. The first termination condition is a round-limited termination condition. When the number of auction rounds reaches a preset value, the auction will automatically terminate to prevent unlimited bidding. The second termination condition is a cost constraint termination condition, which automatically terminates the auction when the supplier's bid is lower than the cost price of the corresponding quality standard data in the current market data; The third termination condition is the fixed-price termination condition, which automatically terminates the auction when the starting price has been reduced by the maximum preset number of times.

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