Potential purchase demand identification method and system

Abstract

The invention provides a purchase data analysis system and method based on supply and demand intelligent matching, and the method comprises the steps: forming a digital purchase demand plan and potential purchase demands according to the purchase demands proposed by a user; matching the purchase demand plan with a supplier; matching the potential purchase demand with a supplier; and converting into a digital supply order according to a matching result. The method can be widely and efficiently applied to large-scale intensive purchasing of industrial products, and is particularly suitable for complex purchasing requirements of large iron and steel enterprises on complicated types, various models and frequent change of requirements. According to the invention, many uncertain flow technical problems existing in a long process from user demands to order formation to supplier production according to orders to preparation of delivery to completion of delivery are successfully solved.

Description

[0001] This application is a divisional application of the following prior application:

[0002] Filing date of the prior application: June 20, 2022

[0003] Filing number of the prior application: 202210697272.6

[0004] Title of the invention-creation of the prior application: Procurement data analysis method and system based on intelligent supply-demand matching Technical Field

[0005] The present invention relates to the technical field of intelligent procurement information processing, and specifically, to a procurement data analysis method and system based on intelligent supply-demand matching. Background Art

[0006] Patent document CN103984714B discloses a method for intelligent supply-demand matching of cloud manufacturing services based on ontology semantics. Specifically, this method establishes an ontology of cloud manufacturing service resources with semantic relationships, forms a vertically and horizontally extended ontology thesaurus of manufacturing service resources, and uses it to achieve fast and efficient semantic search of service resources. Finally, an intelligent supply-demand matching of cloud manufacturing services is realized through a comprehensive matching algorithm to support the efficient allocation of service resources and the fairness and reliability of cloud manufacturing services; it supports semantic extended search, service resource management, and intelligent supply-demand matching.

[0007] However, patent document CN103984714B cannot meet the potential procurement needs of users. Summary of the Invention

[0008] Aiming at the deficiencies in the prior art, the purpose of the present invention is to provide a procurement data analysis method and system based on intelligent supply-demand matching.

[0009] According to the present invention, a procurement data analysis system based on intelligent supply-demand matching includes:

[0010] Demand management module M1: According to the procurement needs proposed by the user, form a digital procurement demand plan and potential procurement needs;

[0011] Matching management module M2: Match the procurement demand plan with suppliers;

[0012] Supply management module M3: Match the potential procurement needs with suppliers; convert them into digital supply orders according to the matching results.

[0013] Preferably, the demand management module M1 includes:

[0014] User requirement automatic collection module M1.1: According to the procurement requirements proposed by users, automatically identify the requirements, and based on the key information and important data of the user requirements extracted by the identification, form a digital procurement requirements plan;

[0015] User requirement intelligent analysis module M1.2: According to the procurement requirements plan, conduct intelligent analysis on the rationality and effectiveness of the requirements to obtain an effective procurement requirements plan;

[0016] Potential requirement identification module M1.3: Trace all the user procurement requirements that have been realized, collect and extract key requirement data from these realized user requirements, summarize and sort out all potential procurement requirements, and form user potential procurement requirements.

[0017] Preferably, the matching management module M2 includes:

[0018] Supply-demand docking module M2.1: Convert the procurement requirements plan into an order that can be recognized by the supplier;

[0019] Supply-demand first intelligent matching module M2.2: Conduct a first intelligent matching of the product name, product quantity, and delivery time included in the procurement requirements plan with the supply capacity of the supplier that can deliver according to the product name, product quantity, and delivery time;

[0020] Supply-demand second matching module M2.3: Conduct a matchmaking match for the supply-demand that cannot be successfully and intelligently matched by the supply-demand first intelligent matching module M2.2.

[0021] Preferably, the supply management module M3 includes:

[0022] Omnidirectional integrated supply module M3.1: Form all user requirements according to the procurement requirements plan and potential procurement requirements, and establish corresponding integrated supply relationships for all user requirements;

[0023] Digital supply module M3.2: Establish corresponding digital supply orders according to the integrated supply relationships;

[0024] Order information processing module M3.3: According to the digital supply order, guide the supplier to organize production according to the supply order.

[0025] Preferably, the procurement requirement is the procurement requirement for raw material products required for steel industry production.

[0026] A procurement data analysis method based on intelligent supply-demand matching provided by the present invention includes:

[0027] Requirement management step S1: According to the procurement requirements proposed by users, form a digital procurement requirements plan and potential procurement requirements;

[0028] Matching management step S2: Matching the procurement demand plan with suppliers;

[0029] Supply management step S3: Matching the potential procurement demand with suppliers; converting it into a digital supply order according to the matching result.

[0030] Preferably, the demand management step S1 includes:

[0031] Automatic user demand collection step S1.1: Automatically identifying demands according to the procurement demands proposed by users, and forming a digital procurement demand plan based on the key information and important data of user demands extracted by identification.

[0032] Intelligent user demand analysis step S1.2: Conducting intelligent analysis on the rationality and effectiveness of demands according to the procurement demand plan to obtain an effective procurement demand plan.

[0033] Potential demand identification step S1.3: Tracing all previously realized user procurement demands, collecting and extracting key demand data from these previously realized user demands, summarizing and sorting out all potential procurement demands, and forming user potential procurement demands.

[0034] Preferably, the matching management step S2 includes:

[0035] Supply-demand docking step S2.1: Converting the procurement demand plan into an order that suppliers can identify.

[0036] First intelligent supply-demand matching step S2.2: Conducting a first intelligent matching of the product name, product quantity, and delivery time included in the procurement demand plan with the supply capabilities of suppliers that can deliver according to the product name, product quantity, and delivery time.

[0037] Second supply-demand matching step S2.3: Conducting a matchmaking match for the supply demands that cannot be successfully and intelligently matched in the first intelligent supply-demand matching step S2.2.

[0038] Preferably, the supply management step S3 includes:

[0039] Full-range integrated supply step S3.1: Forming all user demands according to the procurement demand plan and potential procurement demands, and establishing corresponding integrated supply relationships for all user demands.

[0040] Digital supply step S3.2: Establishing corresponding digital supply orders according to the integrated supply relationships.

[0041] Order information processing step S3.3: According to the digital supply order, guide the supplier to organize production in accordance with the supply order.

[0042] Preferably, the procurement requirement is the procurement requirement for raw material products required for the production of the steel industry.

[0043] Preferably, in the user demand intelligent analysis module M1.2, automatically determine and block invalid procurement requirements to form a procurement requirement plan, and only allow procurement plans that conform to the setting logic of the procurement requirement static table to form an effective user procurement requirement plan; the automatic determination is to identify whether the procurement requirement meets the following conditions. If it meets, it is considered valid, otherwise it is invalid. The conditions include: the procurement material name and model specifications are consistent; the material code and the material name are consistent; the material code has a corresponding valid contract; the procurement quantity is compliant; only when the above judgment conditions are met can it be regarded as an effective procurement requirement plan, otherwise it is an invalid procurement requirement.

[0044] Preferably, in the potential demand identification module M1.3, it is realized on the basis of comprehensive analysis of the effective orders of the same procurement material products accumulated in recent years. Combining the data list formed by historical orders, considering the user's historical procurement volume, procurement product code, model and procurement cycle to form a prediction of future potential procurement needs; for the predicted procurement requirements, guide the supplier to take preparatory work in advance according to the predicted potential procurement requirements and incorporate them into the production plan.

[0045] Preferably, the user demand intelligent analysis module M1.2 includes:

[0046] User demand intelligent identification sub-module M1.2.1: Automatically identify user needs and identify the key field information in user needs to realize the intelligent conversion of user needs from text description to digital description;

[0047] Invalid user demand filtering and blocking sub-module M1.2.2: Judge the effectiveness of all identified user procurement requirements, separate invalid user needs and valid user needs based on the currently valid procurement requirement static table, and filter and block invalid needs before the effective needs are converted into procurement requirement plans;

[0048] User demand procurement plan conversion sub-module M1.2.3: Convert the remaining valid needs after filtering and blocking invalid needs into digital procurement requirement plans to build an information transmission channel for the subsequent matching of procurement requirement plans and supply orders.

[0049] Preferably, in the intelligent analysis step S1.2 of user requirements, invalid procurement requirements are automatically determined and blocked to form a procurement requirements plan, and only procurement plans that conform to the setting logic of the procurement requirements static table are allowed to form an effective user procurement requirements plan; the automatic determination is to identify whether the procurement requirements meet the following conditions. If they meet, they are considered effective; otherwise, they are invalid. The conditions include: the name and model specifications of the procurement materials are consistent; the material code and the material name are consistent; the material code has a corresponding valid contract; the procurement quantity is compliant; only procurement requirements plans that meet the above judgment conditions can be regarded as effective, otherwise they are invalid procurement requirements.

[0050] Preferably, in the potential demand identification step S1.3, it is realized based on a comprehensive analysis of the effective orders of the same procurement material products accumulated in recent years. Combining the data list formed by historical orders, considering the user's historical procurement volume, procurement product code, model, and procurement cycle to form a prediction of future potential procurement needs; for the predicted procurement requirements, guide the supplier to take preparatory work in advance according to the predicted potential procurement requirements and incorporate them into the production plan.

[0051] Preferably, the intelligent analysis step S1.2 of user requirements includes:

[0052] Intelligent identification sub-step S1.2.1 of user requirements: Automatically identify user requirements and identify the key field information in the user requirements to realize the intelligent conversion of user requirements from text description to digital description;

[0053] Invalid user requirements filtering and blocking sub-step S1.2.2: Judge the effectiveness of all identified user procurement requirements. Based on the currently effective procurement requirements static table, separate the invalid user requirements and the effective user requirements, and filter and block the invalid requirements before the effective requirements are converted into a procurement requirements plan;

[0054] User requirements procurement plan conversion sub-step S1.2.3: Convert the remaining effective requirements after filtering and blocking the invalid requirements into a digital procurement requirements plan to build an information transmission channel for the subsequent matching of the procurement requirements plan and the supply order.

[0055] Preferably, in the supply-demand docking module M2.1, automatically dock the user procurement requirements plan and the order with the same data format;

[0056] Preferably, in the supply-demand secondary matching module M2.3, intelligent matching will be carried out as follows according to different situations of supply-demand that cannot be successfully matched by the first intelligent matching:

[0057] Case A: When the demand of a single user is greater than the existing supply, the difference between the user demand and the existing supply is combined, and the possible future demand increment is considered. A replenishment purchase order is issued to match the supply and demand successfully, so as to fully meet the current purchase demand of a single user.

[0058] Case B: When the total demand of multiple users is greater than the remaining supply stipulated in the contract, the difference between the demand of multiple users and the remaining supply stipulated in the contract is combined, and the possible future demand increment is considered. A new purchase contract is signed and the supply is increased to meet the current and future purchase demands of multiple users for a certain period.

[0059] Preferably, the supply-demand secondary matching module M2.3 includes:

[0060] The first processing module M2.3.1: In the virtual environment, the quantity of the product to be matched is presented in the form of a spatially colored area with a first color. Among them, the spatially colored area can be a three-dimensional solid area or a two-dimensional plane area colored with the first color; the larger the spatially colored area of the first color, the more the quantity of the product to be matched.

[0061] The second processing module M2.3.2: For each supplier of the product to be matched, different colored coloring pens are created to represent each supplier. Among them, the colors of different coloring pens are different, and the color of the coloring pen is different from the first color; the number of coloring pens is the same as the number of suppliers; the color of the coloring pen refers to the color that can cover the initially spatially colored area of the first color in the virtual environment; the spatially colored area that the coloring pen can color reflects the quantity of the product to be matched that the supplier corresponding to the coloring pen can supply; the ratio of the colored and remaining colored spatially colored areas is displayed on the coloring pen.

[0062] The third processing module M2.3.3: Use different coloring pens to cover the initially spatially colored area of the first color, and mark the allocation ratio of the order quantity of the product to be matched among different suppliers with the size ratio of the spatially colored areas of different colors; except for the first color, the quantity of the product represented by the colored and covered coloring area is recycled into the coloring pen of that color; for different orders of the same product to be matched, use the same coloring pen to color and recycle the color in the initially spatially colored area of each order; in the virtual environment, the ratio relationship value between the sizes of the spatially colored areas of each color is displayed in real time.

[0063] The fourth processing module M2.3.4: Match the product to be matched with the supplier according to the allocation ratio determined by all users of the virtual environment.

[0064] Preferably, in the supply-demand docking step S2.1, the user's procurement demand plan and the order with the same data format are automatically docked for information;

[0065] Preferably, in the supply-demand secondary matching step S2.3, intelligent matching is carried out as follows according to different situations of the supply-demand that cannot be successfully matched by the first intelligent matching:

[0066] Situation A: When the demand of a single user is greater than the existing supply, the difference between the user's demand and the existing supply is combined, and the possible future demand increment is considered, and the supply and demand are successfully matched in the form of reissuing a purchase order to fully meet the current procurement needs of a single user;

[0067] Situation B: When the total demand of multiple users is greater than the remaining supply agreed in the contract, the difference between the demands of multiple users and the remaining supply agreed in the contract is combined, and the possible future demand increment is considered to re-sign the purchase contract and increase the supply to meet the current and future procurement needs of multiple users for a certain period.

[0068] Preferably, the supply-demand secondary matching step S2.3 includes:

[0069] The first processing step S2.3.1: In the virtual environment, the quantity of the product to be matched is presented in the form of a spatially colored area with the first color. Among them, the spatially colored area can be a three-dimensional solid area or a two-dimensional plane area colored with the first color; the larger the spatially colored area of the first color, the more the quantity of the product to be matched;

[0070] The second processing step S2.3.2: For each supplier of the product to be matched, different colored coloring pens are created to represent each supplier. Among them, the colors of different coloring pens are different, and the color of the coloring pen is different from the first color; the number of coloring pens is the same as the number of suppliers; the color of the coloring pen refers to the color that can cover the initially spatially colored area of the first color in the virtual environment; the spatially colored area that the coloring pen can color reflects the quantity of the product to be matched that the supplier corresponding to the coloring pen can supply; the ratio of the colored and remaining colored spatially colored areas is displayed on the coloring pen;

[0071] Third processing step S2.3.3: Color and cover the spatial coloring area at the initial time of the first color with different coloring pens, and mark the allocation ratio of the order quantity of the product to be matched among different suppliers according to the size ratio of the spatial coloring areas of different colors; except for the first color, the quantity of products represented by the colored areas covered with color is recycled into the coloring pens of that color; for different orders of the same product to be matched, use the same coloring pen to color and recycle the color in the spatial coloring areas at the initial time of the first color for each order; in the virtual environment, the proportional relationship value between the sizes of the spatial coloring areas of each color is displayed in real time.

[0072] Fourth processing step S2.3.4: Match the product to be matched with the suppliers according to the allocation ratio determined by all users of the virtual environment.

[0073] Preferably, in the all-round integrated supply module M3.1, the integrated supply includes:

[0074] Longitudinal single-process supply chain: A single-process supply chain established by a single supplier according to potential procurement needs and matching the products that the supplier can supply. Based on this supply chain, a supply order constructed according to the process can be generated and transmitted to the supplier, and the supplier organizes production or delivers goods according to the digital supply order to directly match the procurement needs and supply of the products.

[0075] Supply module formed by multiple horizontal suppliers: A horizontal complementary supply module formed by multiple suppliers with product differences. The goal of this supply module is to meet all existing potential demands by 100%. Among them, multiple suppliers mean sending purchase orders to multiple suppliers for a certain material.

[0076] Preferably, in the digital supply module M3.2, all important fields will be analyzed one by one according to all effective demands, and corresponding digital supply orders will be generated to convert all effective potential demands of users into digital orders.

[0077] Preferably, in the order information processing module M3.3, according to the effective user procurement needs and combined with the digital supply orders generated by the digital supply module, it will directly guide the suppliers to organize production according to the supply orders, prepare goods, and instruct the suppliers to deliver the specific products and quantities required by the users to the designated delivery locations on time.

[0078] Preferably, in the all-round integrated supply step S3.1, the integrated supply includes:

[0079] Vertical single-process supply chain: A single-process supply chain established by a single supplier based on potential procurement requirements and matching the products that the supplier can supply. Based on this supply chain, supply orders constructed according to the process can be generated and transmitted to the supplier, and the supplier organizes production or delivers goods according to the digital supply order to directly match the procurement requirements of the products with the supply;

[0080] Supply module formed by multiple horizontal suppliers: A horizontal complementary supply module formed by multiple suppliers with product differences. The supply module aims to meet all existing potential demands by 100%. Among them, multiple suppliers mean sending purchase orders for a certain material to multiple suppliers.

[0081] Preferably, in the digital supply step S3.2, all important fields will be analyzed one by one according to all valid demands, and corresponding digital supply orders will be generated, converting all valid potential demands of the user into digital orders.

[0082] Preferably, in the order information processing step S3.3, according to the valid procurement demands of the user and combined with the digital supply orders generated by the digital supply module, the supplier will be directly guided to organize production according to the supply order, prepare goods, and instruct the supplier to deliver the specific products and quantities required by the user to the designated delivery location on time.

[0083] Compared with the prior art, the present invention has the following beneficial effects:

[0084] 1. The present invention can be widely and efficiently applied in the large-scale intensive procurement of industrial products, especially suitable for the complex procurement requirements of large steel enterprises with various types, diverse models, and frequently changing demands.

[0085] 2. The present invention can overall solve the technical problem that it is difficult to quickly meet the diverse procurement demands proposed by multi-level and multi-department users. In the present invention, first, the diverse procurement demands proposed by the user will be identified as valid / invalid demands, and the valid demands will be converted from text descriptions into digital procurement plans. At the same time, a supply order platform will be built with the help of an efficient supply system that has comprehensively integrated all potential procurement demands. The demand plan and the supply order will be intelligently matched through the intelligent matching information processing system for supply and demand, successfully solving many uncertain process technical problems in the long process from user demand, to order formation, to supplier production according to the order, to preparation for delivery, to completion of delivery.

[0086] 3. The present invention digitally converts the user's procurement requirements: Traditional user procurement requirements are usually in the form of "text + numbers", and procurement requirements in this form cannot form a procurement plan through the procurement system and be transmitted to the supplier in the form of an order. The present invention creatively converts all the text in the user's procurement requirements into the form of "English codes and numbers", thus successfully enabling the user's procurement requirements to pass smoothly and be efficiently transmitted in the procurement system;

[0087] 4. The present invention digitally and seamlessly docks and intelligently matches the procurement plan and the supply order: The procurement plan, as the procurement requirements issued by the user and the supply order that can be recognized by the supplier, respectively belong to the "personalized languages" of upstream and downstream enterprises and are usually difficult to directly match. Considering the actual situations of the order formats of upstream suppliers and the procurement plan formats of downstream users, the present invention develops a "common language" that is applicable to both upstream suppliers and downstream users, uniformly standardizes and shares the key fields of the procurement plan and the supply order, thus successfully solving the technical problem of poor communication between upstream suppliers and downstream users. At the same time, the present invention conducts intelligent automatic matching between the user's demand quantity and the existing supply quantity. By simulating various possible application scenarios and establishing the mathematical calculation logic for specific scenarios, it realizes the intelligent matching of the procurement plan and the supply order in a programmed language to effectively solve the long-existing mismatch problem between the demand quantity and the supply quantity.

[0088] 5. The present invention ensures the full recognition of user needs through an all-round integrated supply module: Traditional user procurement requirements are diverse and complex, and many procurement systems have difficulty solving this long-existing problem. Aiming at this long-existing procurement problem, the present invention first conducts an all-round collection and analysis of user needs. In the process of analysis, it creatively adopts digital and coding processing technologies to enable 100% of user needs to be analyzed and processed in computer language, thereby fully recognizing the potential needs of users with the powerful analysis and processing capabilities of the computer and clarifying information such as product names, categories, models, and technical parameters, successfully solving the technical problem of difficult full recognition of user needs.

[0089] 6. The present invention fully combines the problems existing in the procurement of industrial raw materials by large steel enterprises. Based on an automatic information processing system, through technologies such as intelligent data collection and information matching, it solves a series of problems existing in the procurement of industrial raw materials, such as diverse types, various models, and difficult efficient satisfaction of needs, and comprehensively achieves good technical effects of rapid recognition of procurement requirements in the procurement of industrial raw materials by steel enterprises, intelligent matching of needs and orders, efficient organization of production by suppliers according to digitalized orders, and timely and accurate delivery.

[0090] 7. The present invention uses the user demand automatic collection module to automatically identify the procurement demands put forward by users, extract key information, and automatically collect important data, forming digital procurement demands and automatically docking with the supply demand docking module, achieving the technical effects of user demands from being put forward, to being automatically collected, to being successfully identified, to being intelligently docked to the digital supply module. In particular, it achieves the technical effects of accurate identification of user demands and rapid data conversion.

[0091] 8. The present invention uses the user demand intelligent analysis module to analyze the rationality and effectiveness of the procurement demands put forward by users. By automatically analyzing the effectiveness of the procurement demands through the system, it achieves the technical effect of automatically blocking invalid demands and forming effective digital procurement demands.

[0092] 9. The present invention uses the potential demand identification module to intelligently trace the procurement demands of users that have been realized. By collecting and extracting key demand data from before, and comprehensively analyzing and identifying procurement demand information from multiple dimensions according to the principle that "historical demands will reappear in the future", and deeply analyzing the procurement demands through intelligent analysis technology and converting them into data-based demands, achieving the technical effects of accurate identification, comprehensive analysis, and data conversion of users' potential procurement demands. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0094] Figure 1 It is a schematic diagram of the working principle of a preferred example of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0095] The present invention will be described in detail below with reference to specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those of ordinary skill in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0096] According to a procurement data analysis system based on intelligent supply and demand matching provided by the present invention, it includes:

[0097] Demand management module M1: According to the procurement demands put forward by users, form a digital procurement demand plan and potential procurement demands;

[0098] Matching management module M2: Match the procurement demand plan with suppliers;

[0099] Supply management module M3: Match the potential procurement demands with suppliers; Convert them into digital supply orders according to the matching results.

[0100] The requirement management module M1 includes:

[0101] The user requirement automatic collection module M1.1 adopts a user requirement information processing system. According to the procurement requirements put forward by users, it automatically conducts requirement identification, key information extraction, and automatic collection of important data. Based on the extracted key information and important data of user requirements, a digital procurement requirement plan is formed;

[0102] The user requirement intelligent analysis module M1.2 is a module that conducts intelligent analysis on the rationality and effectiveness of requirements according to the procurement requirement plan put forward by users. This module will conduct intelligent identification on the digital procurement requirement plan. Based on the procurement requirement static table, it automatically determines and blocks invalid procurement requirements from forming a procurement plan, and only allows reasonable procurement plans that conform to the logic set in the procurement requirement static table to form effective user requirements and transmit them to the procurement central platform in digital form; among them, the automatic determination is to identify whether a procurement plan meets the following conditions. If it meets, it is considered effective, otherwise it is invalid. The conditions include: the procurement material name and model specifications are consistent; the material code and the material name are consistent; the material code has a corresponding valid contract; the procurement quantity is compliant. Only when the above judgment conditions are met can it be regarded as an effective plan, otherwise it is an invalid procurement plan.

[0103] The potential requirement identification module M1.3 will trace all the user procurement requirements that have been realized, collect and extract key requirement data from these realized user requirements, comprehensively identify requirement information, summarize and sort out all possible procurement requirements, and form a module of user potential requirements to provide reference for demand data for all-round integrated supply; specifically, the intelligent prediction of potential requirements is realized based on the comprehensive analysis of the effective orders of the same procurement material products accumulated in recent years. It combines the data list formed by historical orders, considers the historical procurement volume, procurement product code, model, and procurement cycle of major users, etc., to form a prediction of future procurement needs. For the procurement requirements predicted by the system, which are used to provide reference for demand data for all-round integrated supply, suppliers can take preparatory work in advance according to the predicted requirements and incorporate them into the production plan. The main requirements of users are relatively continuously and stably existing. Failing to predict potential requirements will cause shortages in supply during urgent production, or even very hasty production preparations. Therefore, through prediction based on historical order records, the accuracy is relatively high, thus avoiding suppliers' hasty stockpiling.

[0104] The user requirement intelligent analysis module M1.2 includes:

[0105] The user demand intelligent identification submodule M1.2.1 will automatically identify user needs and quickly identify key field information in user needs, realize the intelligent conversion of user needs from text description to digital description, and make preliminary preparations for the procurement system to match supply orders according to the procurement plan.

[0106] The invalid user demand filtering and blocking submodule M1.2.2 will judge the validity of all identified user demands, separate invalid user demands from valid user demands based on the currently valid static table of procurement demands, and filter and block invalid demands before the valid demands are converted into procurement plans to prevent invalid demands from interfering with the smooth realization of valid demands.

[0107] The user demand procurement plan conversion submodule M1.2.3 converts the remaining valid demands after the invalid demands are filtered and blocked by the invalid user demand filtering and blocking submodule into a digital procurement plan, thereby building an information transmission channel for subsequent procurement plan and supply order matching.

[0108] The matching management module M2 includes:

[0109] The supply demand docking module M2.1 is a module that automatically docks the user's procurement plan with the order information processing module in the same data format. As the execution system of the procurement center platform, this module directly and automatically docks the user's procurement plan with the supplier's digital supply module, creating the prerequisite for quickly converting user demand into an order that can be recognized by the supplier and immediately forming production / stocking instructions.

[0110] The supply demand one-time intelligent matching module M2.2 is a module that intelligently matches the product name, quantity and delivery time included in the user's purchase plan with the supplier's supply capacity that can smoothly deliver the product according to the product name, quantity and delivery time. This module can achieve timely and efficient matching of most user purchase plans with supply orders and quickly complete delivery.

[0111] The supply-demand secondary matching module M2.3 is an intelligent auxiliary matching module established for the supply-demand that cannot be successfully and intelligently matched by the above-mentioned supply-demand primary intelligent matching module. This module will conduct the following intelligent matchmaking according to different situations of the supply-demand that cannot be successfully and intelligently matched: Situation A: When the demand of a single user is greater than the existing supply, according to the unsuccessful matching prompt given by the procurement system, combined with the difference between the user's demand and the existing supply and considering the possible future demand increment, it will match the supply and demand successfully in the form of reissuing a large procurement order to fully meet the current procurement needs of a single user; Situation B: When the total demand of multiple users is greater than the remaining supply stipulated in the contract, according to the unsuccessful matching prompt given by the procurement system, combined with the difference between the demands of multiple users and the remaining supply stipulated in the contract and considering the possible future demand increment, it will re-sign the procurement contract and increase the supply to smoothly meet the current and future procurement needs of multiple users for a certain period of time.

[0112] The supply-demand secondary matching module M2.3 includes:

[0113] The first processing module M2.3.1: In a virtual environment, such as a VR environment, the quantity of the product to be matched is presented in the form of a spatial coloring area with a first color. Among them, the spatial coloring area can be a three-dimensional solid area or a two-dimensional plane area colored with the first color. The larger the spatial coloring area of the first color, the more the quantity of the product to be matched.

[0114] The second processing module M2.3.2: For each supplier of the product to be matched, different colored coloring pens are created to represent each supplier respectively. The colors between different coloring pens are different, and the color of the coloring pen is different from the first color; the number of coloring pens is the same as the number of suppliers; the color of the coloring pen refers to the color that can cover the initial spatial coloring area of the first color in the virtual environment. Of course, the color of the coloring pen itself can be set to be the same as the color of the coloring coverage; further, the spatial coloring area that the coloring pen can color reflects the quantity of the product to be matched that the supplier corresponding to the coloring pen can supply; if the quantity of the product to be matched that the supplier can supply is more, the spatial coloring area that the coloring pen corresponding to the supplier can color and cover is larger, for example, the volume or area of the coloring area colored by the coloring pen is larger, and vice versa, if the quantity of the product to be matched that the supplier can supply is less, the spatial coloring area that the coloring pen corresponding to the supplier can color and cover is smaller, for example, the volume or area of the coloring area colored by the coloring pen is smaller; the ratio of the colored and remaining colored spatial coloring areas is displayed on the coloring pen;

[0115] The third processing module M2.3.3: Paint and cover the space coloring area at the initial time of the first color with different coloring pens, and mark the allocation ratio of the order quantity of the product to be matched among different suppliers according to the size ratio of the space coloring areas of different colors; that is, use multiple colors different from the first color to divide the space coloring area at the initial time of the first color; except for the first color, the quantity of products represented by the coloring areas covered with colors is recycled into the coloring pens of the corresponding colors. In a preferred example, in particular, for different orders of the same product to be matched, the same coloring pen is used to paint and recycle colors on the space coloring areas at the initial time of the first color for each order. In the virtual environment, the proportional relationship values between the sizes of the space coloring areas of each color are displayed in real time.

[0116] The fourth processing module M2.3.4: Match the products to be matched with suppliers according to the allocation ratio determined by all users of the virtual environment.

[0117] The present invention can enable multiple purchasers to remotely discuss and mark in the virtual environment as users of the virtual environment, allocate the orders of the products to be matched into sub-orders supplied by multiple suppliers, and the marking method is intuitive and clear, which can improve the communication effect and the editing effect of the blackboard writing.

[0118] The supply management module M3 includes:

[0119] The all-round integrated supply module M3.1 is a module that establishes a corresponding integrated supply according to all user requirements formed by potential demands. The integrated supply includes: a vertical single-process supply chain and a horizontal supply module formed by multiple suppliers. The vertical single-process supply chain is a single-process supply chain established by a single supplier according to the above potential demands and matching the products that the supplier can supply. After receiving the digital user demand plan in the supply system, this supply chain can immediately generate a supply order constructed according to the process (including multiple digital supply information such as product codes, demand quantities, and demand dates) and transmit it to the supplier. The supplier immediately organizes production or ships immediately according to the digital supply order to directly match the procurement demand and supply of the goods. Herein, a single supplier means that an order for a certain material is sent to only one supplier for procurement. Only a single supplier can form a single-process supply chain. The horizontal supply module formed by multiple suppliers is a horizontal complementary supply module formed by multiple suppliers with product differences based on the fact that a single supplier cannot supply all the above potential demands. This supply module aims to fully meet all existing potential demands and effectively solve the deficiency that the vertical single-process supply chain cannot fully meet all potential demands. Herein, multiple suppliers mean that orders for a certain material are sent to multiple suppliers for procurement.

[0120] The digital supply module M3.2 will analyze all important fields one by one according to all valid demands and establish a corresponding digital supply module. This module has the ability to immediately generate a corresponding digital supply order after receiving user demands. The digital supply module aims to convert all valid potential demands of users into digital orders, creating convenient conditions for suppliers to supply products.

[0121] The order information processing module M3.3 will, according to the above-mentioned valid user demands and in combination with the digital supply orders generated by the above-mentioned digital supply module, directly guide the supplier to efficiently organize production according to the supply order, quickly prepare goods, and instruct the supplier to deliver the specific products and quantities required by the user to the designated delivery location on time.

[0122] For example, a user needs to purchase 20 barrels of A-type grease cleaning agent (single weight 30 kg) and 30 cans of B-type adhesive (each 50 ml). First, it is queried in the intelligent analysis subsystem of the procurement system demand data that both the A-type grease cleaning agent and B-type adhesive he needs are valid procurement demands. So he immediately inputs the procurement demand and generates a procurement plan. After the procurement plan is approved by the procurement staff, it is subjected to demand-supply matching (product name, model, quantity, delivery time, etc.) through the intelligent matching information processing system for supply and demand, and then is successfully converted into a supply order through the efficient supply system for potential demands. After receiving the supply order, the supplier immediately organizes production according to the order and arranges delivery according to the product name, quantity, delivery time, and delivery location required by the order within a short time. On the premise of meeting the order requirements, the procurement demand is successfully realized.

[0123] A procurement data analysis method based on intelligent matching of supply and demand provided by the present invention includes:

[0124] Demand management step S1: Form a digital procurement demand plan and potential procurement demands according to the procurement demands proposed by users;

[0125] Matching management step S2: Match the procurement demand plan with suppliers;

[0126] Supply management step S3: Match the potential procurement demands with suppliers; convert them into digital supply orders according to the matching results.

[0127] The demand management step S1 includes:

[0128] Automatic user demand collection step S1.1: Automatically identify demands according to the procurement demands proposed by users, and form a digital procurement demand plan based on the key information and important data of the user demands extracted by the identification.

[0129] Intelligent analysis step S1.2 of user requirements: Conduct intelligent analysis on the rationality and effectiveness of the requirements according to the procurement requirements plan to obtain an effective procurement requirements plan;

[0130] Potential demand identification step S1.3: Trace all previously realized user procurement requirements, collect and extract key requirement data from these previously realized user requirements, summarize and sort out all potential procurement requirements to form user potential procurement requirements.

[0131] The matching management step S2 includes:

[0132] Supply-demand docking step S2.1: Convert the procurement requirements plan into an order that can be recognized by the supplier;

[0133] First intelligent matching step S2.2 of supply-demand: Conduct a first intelligent matching of the product name, product quantity, and delivery time included in the procurement requirements plan with the supply capacity of the supplier that can deliver according to the product name, product quantity, and delivery time;

[0134] Second matching step S2.3 of supply-demand: For the supply-demand that cannot be successfully and intelligently matched in the first intelligent matching step S2.2 of supply-demand, conduct matchmaking.

[0135] The supply management step S3 includes:

[0136] Omnidirectional integrated supply step S3.1: Form all user requirements based on the procurement requirements plan and potential procurement requirements, and establish corresponding integrated supply relationships for all user requirements;

[0137] Digital supply step S3.2: Establish corresponding digital supply orders according to the integrated supply relationships;

[0138] Order information processing step S3.3: Guide the supplier to organize production according to the digital supply order based on the digital supply order.

[0139] The procurement requirements are for the procurement of raw material products required for steel industry production.

[0140] Those skilled in the art know that, in addition to implementing the systems, devices, and their respective modules provided by the present invention in the form of pure computer-readable program code, it is entirely possible to achieve the same program by logically programming the method steps so that the systems, devices, and their respective modules provided by the present invention are implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Therefore, the systems, devices, and their respective modules provided by the present invention can be considered as a kind of hardware component, and the modules included therein for implementing various programs can also be regarded as the structures within the hardware component; the modules for implementing various functions can also be regarded as either software programs for implementing the methods or the structures within the hardware component.

[0141] The specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. Without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A method for identifying potential procurement requirements, characterized in that, Including: Step S1: Automatically identify requirements according to the procurement requirements proposed by the user, and based on the key information and important data of the user requirements extracted by the identification, form a digital procurement requirements plan; Step S2: Conduct intelligent analysis on the rationality and effectiveness of the requirements according to the procurement requirements plan to obtain an effective procurement requirements plan.

2. The potential procurement demand identification method according to claim 1, wherein The said Step S2 includes: Step S2.1: Automatically identify user requirements and identify the key field information in the user requirements to achieve the intelligent conversion of user requirements from text description to digital description; Step S2.2: Judge the effectiveness of all identified user procurement requirements. Based on the current effective procurement requirements static table, separate the invalid user requirements from the valid user requirements, and filter and block the invalid requirements before the valid requirements are converted into the procurement requirements plan; Step S2.3: Convert the remaining valid requirements after filtering and blocking the invalid requirements into a digital procurement requirements plan.

3. The potential procurement demand identification method according to claim 2, wherein The said Step S2.2 includes: When all identified user procurement requirements do not meet the preset conditions, they are considered invalid; otherwise, they are considered valid; among them, the said preset conditions include: the procurement material name and model specifications are consistent, the material code and the material name are consistent, the material code has a corresponding valid contract, and the procurement data is compliant.

4. The potential procurement demand identification method according to claim 1, wherein The said method further includes: Trace all the user procurement requirements that have been realized, collect and extract the key requirement data from these realized user requirements, summarize and sort out all potential procurement requirements, and form the user's potential procurement requirements.

5. The potential procurement demand identification method according to claim 1, wherein The said tracing all the user procurement requirements that have been realized, collecting and extracting the key requirement data from these realized user requirements, summarizing and sorting out all potential procurement requirements, and forming the user's potential procurement requirements includes: The intelligent prediction of potential requirements is realized based on the comprehensive analysis of the effective orders of the same procurement material products accumulated in recent years. Combining the data list formed by historical orders, considering the historical procurement volume, procurement product code, model and procurement cycle of the main users to form a prediction of future procurement requirements; For the predicted procurement requirements, it is used to provide demand data reference for the all-round integrated supply. Suppliers can take preparatory work in advance according to the predicted requirements and incorporate them into the production plan.

6. A potential procurement demand identification system, characterized in that, Including: Module M1: Automatically identify requirements according to the procurement requirements proposed by the user, and based on the key information and important data of the user requirements extracted by the identification, form a digital procurement requirements plan; Module M2: Conduct intelligent analysis on the rationality and effectiveness of the requirements according to the procurement requirements plan to obtain an effective procurement requirements plan.

7. The potential procurement demand identification system according to claim 6, characterized in that The said Module M2 includes: Module M2.1: Automatically identify user requirements and identify the key field information in the user requirements to achieve the intelligent conversion of user requirements from text description to digital description; Module M2.2: Judge the effectiveness of all identified user procurement requirements. Based on the current effective procurement requirements static table, separate the invalid user requirements from the valid user requirements, and filter and block the invalid requirements before the valid requirements are converted into the procurement requirements plan; Module M2.3: Convert the remaining valid requirements after filtering out the ineffective requirements into a digital procurement requirements plan.

8. The potential procurement demand identification system according to claim 7, wherein The said module M2.2 includes: when all the identified user procurement requirements do not meet the preset conditions, they are considered ineffective; otherwise, they are considered effective; wherein, the preset conditions include: the procurement material name and model specifications are consistent, the material code and the material name are consistent, the material code has a corresponding valid contract, and the procurement data is compliant.

9. The potential procurement demand identification system according to claim 6, characterized in that, The said method further includes: tracing all the user procurement requirements that have been realized, collecting and extracting key requirement data from these realized user requirements, summarizing and sorting out all the potential procurement requirements, and forming user potential procurement requirements.

10. The potential procurement demand identification system according to claim 6, wherein The tracing all the user procurement requirements that have been realized, collecting and extracting key requirement data from these realized user requirements, summarizing and sorting out all the potential procurement requirements, and forming user potential procurement requirements includes: the intelligent prediction of potential requirements is realized on the basis of comprehensive analysis of the valid orders of the same procurement material products accumulated in recent years. Combining the data list formed by historical orders, considering the historical procurement volume, procurement product code, model and procurement cycle of the main users to form a prediction of future procurement requirements; for the predicted procurement requirements, it is used to provide reference for demand data for the all-round integrated supply, and suppliers can take preparatory work in advance according to the predicted requirements and incorporate them into the production plan.

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