A highly efficient demand release management system and method

Abstract

The present invention relates to fields related to industrial digitalization, and discloses a highly efficient demand release management system and method. Through a centralized cloud deployment mode, an intermediate information interaction matching platform is built, which can realize two-way information disclosure between enterprises and suppliers, and match based on the demand content of both parties and the service content that can be provided, so as to match more suitable cooperation partners for both parties, effectively solve the problem of poor cooperation resources and exposure rate of small and micro enterprises, and improve cooperation efficiency. At the same time, the high cross-exposure of resources can also optimize the professional matching degree of the two parties, and improve the quality of the cooperation content of both parties and the personalized marketing effect.

Description

Technical Field

[0001] The present invention relates to fields related to industrial digitalization, and specifically to a highly efficient demand release management system and method. Background Art

[0002] A series of policies encouraging the development of digital economy and industrial digitalization have been introduced, aiming to promote the construction of B2B e-commerce platforms, promote the digital transformation of supply chains, and enhance the digitalization level of small and medium-sized enterprises. With the advancement of digital transformation, companies increasingly need to optimize supply chains and improve efficiency through digital platforms. In the fierce market competition, companies that can respond quickly to market changes are more likely to gain competitive advantages. In addition, the development of globalized trade requires companies to transcend geographical restrictions and quickly find global partners.

[0003] The demand release model of existing technology does not have a centralized demand release platform. The information of B-side customers and suppliers is scattered in various channels. It is difficult for enterprises to quickly obtain market information and potential customer data, resulting in loss of business opportunities. In addition, there is a lack of effective intermediary platforms. The transaction communication and negotiation process between enterprises is cumbersome, affecting transaction efficiency. At the same time, it is difficult for small enterprises and new entrants to establish credibility and gain exposure in the market, limiting their market competitiveness. Summary of the invention

[0004] The purpose of the present invention is to provide an efficient demand release management system and method to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An efficient demand release management system, including:

[0007] A demand acquisition module is used to acquire enterprise demand information based on business demand release, where the enterprise demand information is used to characterize content demand and condition demand of the business;

[0008] The supply synchronization module is used for synchronizing supply services and acquiring supply information. It synchronizes the current status of the supplier's supply services in real time based on the platform to obtain the supplier's supply information. The supply information is used to characterize the supplier's service content and service capabilities that match the business needs.

[0009] A supply screening module is used for supply screening and matching based on enterprise demand, screening and matching the supply information of several suppliers through multiple content requirements and condition requirements of the enterprise demand information, and obtaining multiple matching suppliers;

[0010] The supply and demand feedback module is used for feedback of matching information and synchronization of decision management. It pushes matching information and corresponding enterprise demand information or supply information to matching enterprises and suppliers respectively, obtains feedback on the cooperation decision of both parties and updates the published information accordingly.

[0011] As a further solution of the present invention: the demand information includes basic demand information and demand-related information, the basic demand information is used to characterize the basic product elements of content, quantity, price and demand time, and the demand-related information is used to characterize the indirect product elements of applicable scenarios and environments. When screening and matching, multiple basic product elements need to be met synchronously or selectively in parallel.

[0012] As a further solution of the present invention: it also includes a supply preference evaluation module, specifically including:

[0013] A feedback definition unit, used to obtain the supplier's historical service records, wherein the historical service records include demand-related information corresponding to the enterprise's demand information and the enterprise's service evaluation feedback, wherein the service evaluation feedback is used to represent the enterprise's satisfaction with the multiple demand-related information;

[0014] The feedback statistics unit is used to count the data history service records, obtain the average satisfaction level under the corresponding types of multiple demand association information, and obtain the service association preference statistical model of the corresponding supplier; the association preference statistical model is a conditional mapping model.

[0015] As a further solution of the present invention: the supply screening module includes:

[0016] The supply initial screening unit is used to screen and match suppliers based on multiple basic demand information of enterprise demand information, and obtain multiple matching suppliers to be evaluated;

[0017] A feature association unit, used to perform keyword feature matching between a plurality of demand association information in the enterprise demand information and the demand association information in the association preference statistical model, and obtain a mapping matching degree with a corresponding mapping;

[0018] The bias matching unit is used to calculate the bias index of the supplier to the enterprise demand based on the feature matching degree and the associated preference statistical model, expressed as:

[0019]

[0020] Among them, n is used to represent the number of matches between multiple demand association information in the enterprise demand information and the demand association information in the association preference statistical model, k is used to represent the mapping matching degree, and m is used to represent the average satisfaction level.

[0021] As a further solution of the present invention: it also includes:

[0022] Synchronous feedback unit: when the enterprise exchanges information with suppliers online, it will book the supplier's schedule based on the basic demand information and generate feedback synchronization information;

[0023] A synchronization update unit is used to pre-lock the current status of the supplier on the platform according to the feedback synchronization information, and the pre-locking content includes supply content, supply pre-locking time period and supply occupancy.

[0024] The embodiment of the present invention aims to provide an efficient demand release management method, comprising:

[0025] Acquiring enterprise demand information based on business demand release, wherein the enterprise demand information is used to characterize content demand and condition demand of the business;

[0026] Synchronize supply services and obtain supply information, based on the platform's real-time synchronization of the current status of the supplier's supply services to obtain the supplier's supply information, which is used to characterize the supplier's service content and service capabilities that match business needs;

[0027] Supply screening and matching based on enterprise demand, screening and matching the supply information of several suppliers through multiple content requirements and condition requirements of the enterprise demand information, and obtaining multiple matching suppliers;

[0028] The feedback of matching information and the management of decision-making are synchronized, and the matching information and corresponding enterprise demand information or supply information are pushed to the matching enterprises and suppliers respectively, so as to obtain the feedback of the cooperation decision of both parties and update the release information accordingly.

[0029] As a further solution of the present invention: the demand information includes basic demand information and demand-related information, the basic demand information is used to characterize the basic product elements of content, quantity, price and demand time, and the demand-related information is used to characterize the indirect product elements of applicable scenarios and environments. When screening and matching, multiple basic product elements need to be met synchronously or selectively in parallel.

[0030] As a further solution of the present invention: it also includes a supplier preference evaluation step, specifically including:

[0031] Acquire the supplier's historical service records, wherein the historical service records include demand-related information corresponding to the enterprise's demand information and the enterprise's service evaluation feedback, wherein the service evaluation feedback is used to represent the enterprise's satisfaction with the multiple demand-related information;

[0032] Statistics are collected on historical service records to obtain average satisfaction levels under multiple types of demand-related information, so as to obtain a service-related preference statistical model of the corresponding supplier; the related preference statistical model is a conditional mapping model.

[0033] As a further solution of the present invention: the step of supply screening and matching based on enterprise demand specifically includes:

[0034] Screen and match suppliers based on multiple basic demand information of enterprise demand information to obtain multiple matching suppliers to be evaluated;

[0035] Perform keyword feature matching on multiple demand-related information in the enterprise demand information and the demand-related information in the associated preference statistical model to obtain a mapping matching degree with the corresponding mapping;

[0036] The supplier's preference index for enterprise demand is calculated based on the feature matching degree and the associated preference statistical model, and is expressed as:

[0037]

[0038] Among them, n is used to represent the number of matches between multiple demand association information in the enterprise demand information and the demand association information in the association preference statistical model, k is used to represent the mapping matching degree, and m is used to represent the average satisfaction level.

[0039] As a further solution of the present invention: it also includes a supply restriction step, specifically including:

[0040] When enterprises exchange information with suppliers online, they book suppliers' schedules based on basic demand information and generate feedback synchronization information;

[0041] The current status of the supplier on the platform is pre-locked according to the feedback synchronization information, and the pre-locking content includes supply content, supply pre-locking time period and supply occupancy.

[0042] Compared with the prior art, the beneficial effects of the present invention are: through a centralized cloud deployment method, an intermediate information interaction and matching platform is built, which can realize two-way information disclosure between enterprises and suppliers, and match based on the needs of both parties and the service content that can be provided, thereby matching more suitable cooperation partners for both parties, effectively solving the problem of poor cooperation resources and exposure rate of small and micro enterprises, and improving cooperation efficiency. At the same time, the high cross-exposure of resources can also optimize the professional matching degree of the two parties, and improve the quality of the cooperation content and personalized marketing effect of both parties. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a block diagram of the composition of an efficient demand release management system.

[0044] Figure 2 The present invention is a block diagram of the composition of the supply preference evaluation module in an efficient demand release management system.

[0045] Figure 3 The present invention is a block diagram of the composition of the supply screening module in an efficient demand release management system.

[0046] Figure 4 A flowchart of an efficient demand release management method. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0048] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0049] like Figure 1 The present invention provides an efficient demand release management system according to an embodiment of the present invention, comprising:

[0050] The demand acquisition module 100 is used to acquire enterprise demand information based on business demand release, where the enterprise demand information is used to characterize content demand and condition demand of the business;

[0051] The supply synchronization module 200 is used for synchronizing supply services and acquiring supply information. The current status of the supplier's supply services is synchronized in real time based on the platform to acquire the supplier's supply information. The supply information is used to characterize the supplier's service content and service capabilities that match the business requirements.

[0052] The supply screening module 300 is used for screening and matching supply based on enterprise demand, screening and matching supply information of several suppliers through multiple content requirements and condition requirements of the enterprise demand information, and obtaining multiple matching suppliers;

[0053] The supply and demand feedback module 400 is used for the feedback of matching information and the synchronization of decision management, and pushes the matching information and corresponding enterprise demand information or supply information to the matching enterprises and suppliers respectively, obtains the cooperation decision feedback of both parties and updates the release information accordingly.

[0054] In this embodiment, an efficient demand release management system is provided. Through a centralized cloud deployment method, an intermediate information interaction matching platform is built, which can realize two-way information disclosure between enterprises and suppliers, and match based on the demand content of both parties and the service content that can be provided, so as to match more suitable cooperation partners for both parties, effectively solving the problem of poor cooperation resources and exposure rate of small and micro enterprises, improving cooperation efficiency, and at the same time, the high cross-exposure of resources can also optimize the professional matching degree of the two parties, improve the quality of the cooperation content and personalized marketing effect of both parties; in the prior art, in view of the diversity of industry types, when seeking cooperation partners, enterprises usually need to search and match cooperation suppliers by themselves, but because of the search methods and channels, there are certain restrictions, the information of cooperation partners is relatively scattered, and it is difficult to quickly obtain market information and potential cooperation information; at the same time, such a search method will lead to a decrease in the efficiency of information acquisition for the partners, because there is a lack of standardized display schemes for the company's own content, specific industry preferences and supply time plans, and the disclosure methods of each company are quite different, so it is more cumbersome in the process of screening and communication, which seriously affects the transaction efficiency; and such traditional processing methods are difficult for small and micro enterprises or new enterprises. The problem of low exposure rate exists. Even if the cooperation effect or product content quality is excellent, the reduced exposure rate in the early stage of the enterprise will still hinder its development and hinder the cooperation demand party's demand process for perfect cooperation. When solving this problem, the method adopted in this embodiment is: establish a centralized information sharing platform based on the cloud. When the cooperation demand party's enterprise has cooperation or business needs, it publishes demand information on the information sharing platform according to its specific needs. The supplier enterprise providing cooperation and services publishes information on the platform according to the services it can provide. These available services may specifically include the content of the cooperation service, the rate at which the corresponding content can be provided within a certain period of time, the availability of reservations for the corresponding service content in each time period, and the characteristic preferences of the service content provided relative to other suppliers (for example, for the same product, supplier A is more suitable for the humid environment in the south, and supplier B is more suitable for the dry environment in the north); based on the disclosure of these data, the cooperation demand party and the supplier can be matched in a two-way manner. Compared with the existing technology, it can not only quickly match the partner that is more compatible with itself, but also based on the screening and matching method of adaptability, it can also improve the exposure of small and micro new enterprises, so that potential cooperation parties can get better exposure and development.

[0055] As another preferred embodiment of the present invention, the demand information includes basic demand information and demand-related information. The basic demand information is used to characterize basic product elements such as content, quantity, price and demand time. The demand-related information is used to characterize indirect product elements of applicable scenarios and environments. When screening and matching are performed, multiple basic product elements need to be met synchronously or selectively in parallel.

[0056] In this embodiment, the demand information is further expanded to include basic demand information and demand-related information. The basic demand information is the most basic part to meet the demand, such as what kind of product is needed, how much quantity is needed, and whether the supply needs to be started and completed within a certain period of time; while the demand-related information is used to characterize the demander's definition of non-fixed factors such as the scenario characteristics of product use, as well as the type of characteristics of the product supplied by the supplier. For example, when the same product is produced by different suppliers, it can adapt to different scenario environments due to processing technology and raw materials.

[0057] like Figure 2 As shown, as another preferred embodiment of the present invention, it also includes a supply preference evaluation module 500, which specifically includes:

[0058] A feedback definition unit 510 is used to obtain a supplier's historical service record, wherein the historical service record includes demand-related information corresponding to the enterprise's demand information and the enterprise's service evaluation feedback, wherein the service evaluation feedback is used to represent the enterprise's satisfaction with the multiple demand-related information;

[0059] The feedback statistics unit 520 is used to collect statistics on the data history service records, obtain the average satisfaction level under the corresponding types of multiple demand association information, and obtain the service association preference statistical model of the corresponding supplier; the association preference statistical model is a conditional mapping model.

[0060] In this embodiment, the function of the supply preference evaluation module 500 is to evaluate the supplier's supply preference, that is, to evaluate the supply characteristics corresponding to the demand-related information. The main method is to obtain the supplier's historical supply records, conduct a comprehensive evaluation based on the demander's multi-faceted evaluation of the supplier in the historical supply records, and then establish a conditional mapping evaluation model between type and satisfaction. For example, the demand objects produced by Factory A are more suitable for use in the south. The determining factors include better moisture-proof effect. Therefore, the conditional mapping relationship of this type is established based on the moisture-proof evaluation in the historical records.

[0061] like Figure 3 As shown, as another preferred embodiment of the present invention, the supply screening module 300 includes:

[0062] A supply initial screening unit 310 is used to screen and match suppliers based on multiple basic demand information of enterprise demand information, and obtain multiple matching suppliers to be evaluated;

[0063] A feature association unit 320 is used to perform keyword feature matching on multiple demand association information in the enterprise demand information and the demand association information in the association preference statistical model to obtain a mapping matching degree with the corresponding mapping;

[0064] The bias matching unit 330 is used to calculate the bias index of the supplier to the enterprise demand based on the feature matching degree and the associated preference statistical model, expressed as:

[0065]

[0066] Among them, n is used to represent the number of matches between multiple demand association information in the enterprise demand information and the demand association information in the association preference statistical model, k is used to represent the mapping matching degree, and m is used to represent the average satisfaction level.

[0067] In this embodiment, the supply screening module 300 is described in detail. Compared with the direct screening of demand content in the prior art, an additional evaluation step based on demand-related information is provided, so that the characteristics of suppliers that meet the demand content can be further evaluated, so that the supply parties that better meet the demand can be matched to optimize the cooperation effect of both parties.

[0068] As another preferred embodiment of the present invention, it also includes:

[0069] Synchronous feedback unit: when the enterprise exchanges information with suppliers online, it will book the supplier's schedule based on the basic demand information and generate feedback synchronization information;

[0070] A synchronization update unit is used to pre-lock the current status of the supplier on the platform according to the feedback synchronization information, and the pre-locking content includes supply content, supply pre-locking time period and supply occupancy.

[0071] In this embodiment, the problems in the actual usage scenario are limited. When the demand and supply parties communicate through the platform, the supplier's supply capacity within a certain time period should be in a state of reservation by the demand party, and whether it is finally reserved by the demand party depends on the negotiation results of the two parties. In this process, if there is no restriction on the platform disclosure of the supplier's corresponding supply time period and capacity, it will be retrieved by more demand parties, and the two parties will determine after a certain negotiation. These subsequently retrieved demand parties will obtain more useless information, which will affect the usage experience of both parties and reduce the platform's credit and evaluation. Therefore, once the matching parties begin negotiations, they need to temporarily pre-lock the corresponding supply time period and corresponding supply capacity.

[0072] like Figure 4 As shown, the present invention also provides an efficient demand release management method, which comprises the steps of:

[0073] S10, obtaining enterprise demand information based on business demand release, where the enterprise demand information is used to characterize content demand and condition demand of the business;

[0074] S20, synchronization of supply services and acquisition of supply information, based on real-time synchronization of the current status of the supplier's supply services on the platform, to obtain the supplier's supply information, which is used to characterize the supplier's service content and service capabilities that match the business requirements;

[0075] S30, supply screening and matching based on enterprise demand, screening and matching supply information of multiple suppliers through multiple content requirements and condition requirements of the enterprise demand information, and obtaining multiple matching suppliers;

[0076] S40, the feedback of matching information and the management of decision-making are synchronized, and the matching information and the corresponding enterprise demand information or supply information are pushed to the matching enterprises and suppliers respectively, so as to obtain the feedback of the cooperation decision of both parties and update the release information accordingly.

[0077] As another preferred embodiment of the present invention, the demand information includes basic demand information and demand-related information. The basic demand information is used to characterize basic product elements such as content, quantity, price and demand time. The demand-related information is used to characterize indirect product elements of applicable scenarios and environments. When screening and matching are performed, multiple basic product elements need to be met synchronously or selectively in parallel.

[0078] As another preferred embodiment of the present invention, it also includes a supplier preference evaluation step, specifically including:

[0079] Acquire the supplier's historical service records, wherein the historical service records include demand-related information corresponding to the enterprise's demand information and the enterprise's service evaluation feedback, wherein the service evaluation feedback is used to represent the enterprise's satisfaction with the multiple demand-related information;

[0080] Statistics are collected on historical service records to obtain average satisfaction levels under multiple types of demand-related information, so as to obtain a service-related preference statistical model of the corresponding supplier; the related preference statistical model is a conditional mapping model.

[0081] As another preferred embodiment of the present invention, the step of supply screening and matching based on enterprise demand specifically includes:

[0082] Screen and match suppliers based on multiple basic demand information of enterprise demand information to obtain multiple matching suppliers to be evaluated;

[0083] Perform keyword feature matching on multiple demand-related information in the enterprise demand information and the demand-related information in the associated preference statistical model to obtain a mapping matching degree with the corresponding mapping;

[0084] The supplier's preference index for enterprise demand is calculated based on the feature matching degree and the associated preference statistical model, and is expressed as:

[0085]

[0086] Among them, n is used to represent the number of matches between multiple demand association information in the enterprise demand information and the demand association information in the association preference statistical model, k is used to represent the mapping matching degree, and m is used to represent the average satisfaction level.

[0087] As another preferred embodiment of the present invention, it also includes a supply restriction step, specifically including:

[0088] When enterprises exchange information with suppliers online, they book suppliers' schedules based on basic demand information and generate feedback synchronization information;

[0089] The current status of the supplier on the platform is pre-locked according to the feedback synchronization information, and the pre-locking content includes supply content, supply pre-locking time period and supply occupancy.

[0090] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0091] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

[0092] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An efficient demand release management system, characterized in that: Include: A demand acquisition module is used to acquire enterprise demand information based on business demand release, where the enterprise demand information is used to characterize content demand and condition demand of the business; The supply synchronization module is used for synchronizing supply services and acquiring supply information. It synchronizes the current status of the supplier's supply services in real time based on the platform to obtain the supplier's supply information. The supply information is used to characterize the supplier's service content and service capabilities that match the business needs. A supply screening module is used for supply screening and matching based on enterprise demand, screening and matching supply information of several suppliers through multiple content requirements and condition requirements of the enterprise demand information, and obtaining multiple matching suppliers; The supply and demand feedback module is used for feedback of matching information and management synchronization of decision-making. It pushes matching party information and corresponding enterprise demand information or supply information to matching enterprises and suppliers respectively, obtains feedback on the cooperation decision of both parties, and updates the release information accordingly. It also includes a supply preference assessment module, which includes: A feedback definition unit, used to obtain the supplier's historical service records, wherein the historical service records include demand-related information corresponding to the enterprise's demand information and the enterprise's service evaluation feedback, wherein the service evaluation feedback is used to represent the enterprise's satisfaction with the multiple demand-related information; A feedback statistics unit is used to collect statistics on historical service records of data, obtain the average satisfaction degree under the corresponding types of multiple demand-related information, and obtain a service-related preference statistical model of the corresponding supplier; the related preference statistical model is a conditional mapping model; In the supply screening module, when screening and matching is performed, matching suppliers are screened and determined from multiple suppliers to be evaluated based on the supplier's preference index for enterprise demand. The suppliers to be evaluated are determined by screening and matching suppliers based on multiple basic demand information of the enterprise demand information. The mapping matching degree is determined by keyword feature matching of multiple demand association information in the enterprise demand information with the demand association information in the association preference statistical model. The bias index is represented as the weighted sum of the mapping matching degrees obtained by the association preference statistical model for multiple matching demand association information and the corresponding average satisfaction levels.

2. According to claim 1, a highly efficient demand release management system is characterized in that: The demand information includes basic demand information and demand-related information. The basic demand information is used to characterize basic product elements such as content, quantity, price and demand time. The demand-related information is used to characterize indirect product elements of applicable scenarios and environments. When screening and matching, multiple basic product elements need to be met synchronously or selectively in parallel.

3. The highly efficient demand release management system according to claim 2, characterized in that: The supply screening module includes: The supply initial screening unit is used to screen and match suppliers based on multiple basic demand information of enterprise demand information, and obtain multiple matching suppliers to be evaluated; A feature association unit, used to perform keyword feature matching between a plurality of demand-related information in the enterprise demand information and the demand-related information in the association preference statistical model, and obtain a mapping matching degree corresponding to the mapping of the demand-related information; The bias matching unit is used to calculate the bias index of the supplier to the enterprise demand based on the feature matching degree and the associated preference statistical model, expressed as: ； Among them, the It is used to characterize the matching number between the multiple demand association information in the enterprise demand information and the demand association information in the association preference statistical model. It is used to characterize the mapping matching degree. Used to represent the average satisfaction level.

4. The highly efficient demand release management system according to claim 1, characterized in that: Also includes: Synchronous feedback unit: when the enterprise exchanges information with suppliers online, it will book the supplier's schedule based on the basic demand information and generate feedback synchronization information; A synchronization update unit is used to pre-lock the current status of the supplier on the platform according to the feedback synchronization information, and the pre-locking content includes supply content, supply pre-locking time period and supply occupancy.

5. An efficient demand release management method, characterized in that: Include: Acquiring enterprise demand information based on business demand release, wherein the enterprise demand information is used to characterize content demand and condition demand of the business; Synchronize supply services and obtain supply information, based on the platform's real-time synchronization of the current status of the supplier's supply services to obtain the supplier's supply information, which is used to characterize the supplier's service content and service capabilities that match business needs; Supply screening and matching based on enterprise demand, screening and matching the supply information of several suppliers through multiple content requirements and condition requirements of the enterprise demand information, and obtaining multiple matching suppliers; Feedback of matching information and management of decision-making are synchronized, and matching party information and corresponding enterprise demand information or supply information are pushed to matching enterprises and suppliers respectively, so as to obtain feedback on cooperation decisions of both parties and update and publish information accordingly; It also includes a supplier preference assessment step, which includes: Acquire the supplier's historical service records, wherein the historical service records include demand-related information corresponding to the enterprise's demand information and the enterprise's service evaluation feedback, wherein the service evaluation feedback is used to represent the enterprise's satisfaction with the multiple demand-related information; Perform statistics on historical service records to obtain average satisfaction levels under multiple types of demand-related information, so as to obtain a service-related preference statistical model for the corresponding supplier; the related preference statistical model is a conditional mapping model; In the step of obtaining multiple matching suppliers, when performing screening and matching, matching suppliers are screened and determined from multiple suppliers to be evaluated based on the supplier's preference index for enterprise demand. The suppliers to be evaluated are determined by screening and matching suppliers based on multiple basic demand information of the enterprise demand information. The mapping matching degree is determined by matching keyword features of multiple demand association information in the enterprise demand information with the demand association information in the association preference statistical model. The bias index is represented by the weighted sum of the mapping matching degrees obtained by the association preference statistical model for multiple matching demand association information and their corresponding average satisfaction levels.

6. The highly efficient demand release management system according to claim 5, characterized in that: The demand information includes basic demand information and demand-related information. The basic demand information is used to characterize basic product elements such as content, quantity, price and demand time. The demand-related information is used to characterize indirect product elements of applicable scenarios and environments. When screening and matching, multiple basic product elements need to be met synchronously or selectively in parallel.

7. The highly efficient demand release management system according to claim 6, characterized in that: The steps of supply screening and matching based on enterprise demand specifically include: Screen and match suppliers based on multiple basic demand information of enterprise demand information to obtain multiple matching suppliers to be evaluated; Perform keyword feature matching on multiple demand-related information in the enterprise demand information and the demand-related information in the associated preference statistical model to obtain a mapping matching degree corresponding to the demand-related information; The supplier's preference index for enterprise demand is calculated based on the feature matching degree and the associated preference statistical model, and is expressed as: ； Among them, the It is used to characterize the matching number between the multiple demand association information in the enterprise demand information and the demand association information in the association preference statistical model. It is used to characterize the mapping matching degree. Used to represent the average satisfaction level.

8. The highly efficient demand release management method according to claim 5, characterized in that: It also includes supply restriction steps, including: When enterprises exchange information with suppliers online, they book suppliers' schedules based on basic demand information and generate feedback synchronization information; The current status of the supplier on the platform is pre-locked according to the feedback synchronization information, and the pre-locking content includes supply content, supply pre-locking time period and supply occupancy.

Images