The application is a divisional application of the following original application:
The invention of the original application is named as supply and demand matching purchase analysis method and system based on integrated supply management
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a supply and demand matching purchasing analysis method and system based on integrated supply management.
According to the invention, the supply management module is used for matching the potential purchasing demand with the supplier, converting the potential purchasing demand into a digital supply order according to the matching result, and comprises the following steps:
forming all user demands according to a purchasing demand plan and potential purchasing demands, and establishing corresponding integrated supply relations aiming at all the user demands;
the digital supply module M3.2 establishes a corresponding digital supply order according to the integrated supply relation;
And the order information processing module M3.3 is used for guiding the supplier to organize production according to the supply order according to the digital supply order.
Preferably, in the omnibearing integrated supply module M3.1, the integrated supply includes:
A single supplier establishes a single-flow supply chain matched with products which can be supplied by the supplier according to potential purchasing demands, a supply order constructed according to flow can be generated based on the supply chain and transmitted to the supplier, and the supplier organizes production or delivery according to the digitized supply order to realize direct matching of the purchasing demands and the supplies of the products;
And a supply module formed by a plurality of suppliers, namely a transverse complementary supply module formed by suppliers with different products of a plurality of furniture, aiming at 100% meeting all the existing potential requirements, wherein the plurality of suppliers send order purchase to the plurality of suppliers for a certain material.
Preferably, in the digital supply module M3.2, all important fields are analyzed one by one according to all effective demands, a corresponding digital supply order is generated, and all effective potential demands of the user are converted into digital orders.
Preferably, in the order information processing module M3.3, the provider is directly guided to organize and produce according to the supply order according to the effective user purchasing demand and in combination with the digital supply order generated by the digital supply module, so as to prepare goods, and the provider is guided to send the specific products and quantity required by the user to the designated delivery location on time.
According to the supply and demand matching purchase analysis system based on integrated supply management provided by the invention, the supply management module M3 comprises:
The demand management module M1 forms a digital purchasing demand plan and potential purchasing demands according to purchasing demands proposed by users;
and the matching management module M2 is used for matching the purchasing demand plan with the suppliers.
Preferably, the demand management module M1 includes:
The user demand automatic acquisition module M1.1 is used for automatically carrying out demand identification according to purchasing demands proposed by users and forming a digital purchasing demand plan based on the identification and extraction of user demand key information and important data;
the intelligent user demand analysis module M1.2 is used for carrying out intelligent demand rationality and effectiveness analysis according to the purchasing demand plan to obtain an effective purchasing demand plan;
And the potential demand identification module M1.3 is used for tracing all the once realized user purchasing demands, collecting and extracting key demand data from the once realized user demands, summarizing and combing all the potentially existing purchasing demands to form the user potential purchasing demands.
Preferably, the matching management module M2 includes:
the supply demand docking module M2.1 converts the purchasing demand plan into an order that can be identified by the supplier;
The one-time intelligent matching module M2.2 for the supply demand carries out one-time intelligent matching on the product name, the product quantity and the delivery time contained in the purchasing demand plan and the supply capacity which is provided by the supplier and can realize delivery according to the product name, the product quantity and the delivery time;
and the supply demand secondary matching module M2.3 performs matching aiming at the supply demand which cannot be successfully and intelligently matched by the supply demand primary intelligent matching module M2.2.
The invention provides a supply management method, which is used for matching potential purchasing demands with suppliers, converting the potential purchasing demands into digital supply orders according to matching results, and comprises the following steps:
forming all user demands according to a purchasing demand plan and potential purchasing demands, and establishing corresponding integrated supply relations for all the user demands;
A digital supply step S3.2, establishing a corresponding digital supply order according to the integrated supply relation;
and an order information processing step S3.3, guiding the supplier to organize production according to the supply order according to the digital supply order.
Preferably, in the omnibearing integrated supply step S3.1, the integrated supply includes:
A single supplier establishes a single-flow supply chain matched with products which can be supplied by the supplier according to potential purchasing demands, a supply order constructed according to flow can be generated based on the supply chain and transmitted to the supplier, and the supplier organizes production or delivery according to the digitized supply order to realize direct matching of the purchasing demands and the supplies of the products;
And a supply module formed by a plurality of suppliers, namely a transverse complementary supply module formed by suppliers with different products of a plurality of furniture, aiming at 100% meeting all the existing potential requirements, wherein the plurality of suppliers send order purchase to the plurality of suppliers for a certain material.
Preferably, in the digital supply step S3.2, all important fields are analyzed one by one according to all effective demands, a corresponding digital supply order is generated, and all effective potential demands of the user are converted into digital orders.
Preferably, in the order information processing step S3.3, the provider is directly guided to organize and produce according to the supply order according to the effective user purchasing demand in combination with the digital supply order generated by the digital supply module, so as to prepare goods, and the provider is guided to send the specific products and quantity required by the user to the designated delivery location on time.
According to the supply and demand matching purchase analysis system based on integrated supply management provided by the invention, the supply management method comprises the steps of:
The demand management step S1 is to form a digital purchasing demand plan and potential purchasing demands according to purchasing demands proposed by users;
and a matching management step S2, wherein the purchasing demand plan is matched with the suppliers.
Preferably, the demand management step S1 includes:
Step S1.1, automatically acquiring user demands, namely automatically carrying out demand identification according to purchasing demands proposed by users, and forming a digital purchasing demand plan based on the identified and extracted user demand key information and important data;
The intelligent analysis step S1.2 of the user demand carries out intelligent analysis of demand rationality and effectiveness according to the purchasing demand plan to obtain an effective purchasing demand plan;
And a potential demand identification step S1.3, namely tracing all the once realized user purchasing demands, collecting and extracting key demand data from the once realized user demands, summarizing and combing all the potentially existing purchasing demands to form the user potential purchasing demands.
Preferably, the matching management step S2 includes:
a supply demand docking step S2.1, converting a purchasing demand plan into an order which can be identified by a supplier;
A primary intelligent matching step S2.2 of carrying out primary intelligent matching on the product names, the product numbers and the delivery time contained in the purchasing demand plan and the supply capacity of the suppliers, wherein the supply capacity can realize delivery according to the product names, the product numbers and the delivery time;
and a supply demand secondary matching step S2.3, namely aiming at the supply demand which cannot be successfully and intelligently matched in the supply demand primary intelligent matching step S2.2, carrying out matching.
Preferably, in the intelligent user demand analysis module M1.2, the invalid purchasing demand is automatically judged and blocked to form a purchasing demand plan, only purchasing plans conforming to the purchasing demand static table setting logic are allowed to form an effective user purchasing demand plan, the automatic judgment is to identify whether the purchasing demand conforms to the following conditions, if so, the purchasing demand is considered to be effective, otherwise, the purchasing demand is considered to be not effective, the conditions include that the purchasing material name is consistent with the model specification, the material code is consistent with the material name, the material code has corresponding effective contract, the purchasing quantity is compliant, and only the judging conditions are met, the purchasing demand plan can be considered to be effective, otherwise, the purchasing demand is invalid.
Preferably, in the potential demand identification module M1.3, the method is implemented on the basis of comprehensively analyzing the valid orders of the same purchased material product accumulated in recent years, and forms a prediction of future potential purchasing demands by combining a data list formed by historical orders and considering the historical purchasing quantity, purchasing product codes, model numbers and purchasing period of a user, and for the predicted purchasing demands, a supplier is guided to take preparation work in advance according to the predicted potential purchasing demands to be incorporated into a production plan.
Preferably, the intelligent analysis module M1.2 for user demand comprises:
The intelligent user demand recognition submodule M1.2.1 is used for automatically recognizing the user demand and recognizing key field information in the user demand, so as to realize intelligent conversion from text description to digital description of the user demand;
The invalid user demand filtering and blocking submodule M1.2.2 is used for carrying out validity judgment on all the identified user purchasing demands, separating the invalid user demands from the valid user demands based on the current valid purchasing demand static table, and filtering and blocking the invalid demands before the valid demands are converted into purchasing demand plans;
And a user demand purchasing plan conversion submodule M1.2.3 for converting the effective demand remained after the filtering and blocking of the ineffective demand into a digital purchasing demand plan and constructing an information transmission channel for matching the follow-up purchasing demand plan and the supply order.
Preferably, in the intelligent user demand analysis step S1.2, an invalid purchasing demand is automatically determined and blocked to form a purchasing demand plan, and only purchasing plans conforming to the purchasing demand static table setting logic are allowed to form an effective user purchasing demand plan, wherein the automatic determination is to identify whether the purchasing demand conforms to the condition, if so, the purchasing demand is considered to be effective, otherwise, the purchasing demand is considered to be not effective, the condition comprises that the purchasing material name is consistent with the model specification, the material code is consistent with the material name, the material code has corresponding effective contract, the purchasing quantity is compliant, and only the judging condition is met, the purchasing demand plan can be considered to be effective, otherwise, the purchasing demand is invalid.
Preferably, in the potential demand identification step S1.3, the method is implemented on the basis of comprehensively analyzing the valid orders of the same purchased material product accumulated in recent years, and forms a prediction of future potential purchasing demands by considering the historical purchasing quantity, purchasing product codes, models and purchasing periods of the user in combination with a data list formed by the historical orders, and guides suppliers to take preparation work in advance according to the predicted potential purchasing demands for the predicted purchasing demands, so as to incorporate the predicted potential purchasing demands into a production plan.
Preferably, the intelligent analysis step S1.2 of user requirements includes:
the user demand intelligent identification substep S1.2.1 is that automatically identifying the user demand and identifying the key field information in the user demand, thereby realizing the intelligent conversion of the user demand from text description to digital description;
An invalid user demand filtering and blocking sub-step S1.2.2, namely performing validity judgment on all the identified user purchasing demands, separating the invalid user demands from the valid user demands based on a current valid purchasing demand static table, and filtering and blocking the invalid demands before the valid demands are converted into purchasing demand plans;
And a user demand purchasing plan conversion substep S1.2.3, namely converting the effective demand remained after the filtering and blocking of the ineffective demand into a digital purchasing demand plan, and constructing an information transmission channel for matching the subsequent purchasing demand plan and the supply order.
Preferably, in the supply demand docking module M2.1, the user purchase demand plan with the same data format is automatically docked with the order;
Preferably, in the supply demand secondary matching module M2.3, the following intelligent matching is performed according to different situations of the supply demand that the primary intelligent matching cannot successfully and intelligently match:
when the demand of a single user is larger than the current supply, combining the difference between the demand of the user and the current supply and considering the possible demand increment in the future, and matching the supply and the demand in the form of a complementary purchase order to completely meet the current purchase demand of the single user;
And B, when the total demand of the plurality of users is larger than the residual supply quantity of the contractual agreement, the balance between the demand of the plurality of users and the residual supply quantity of the contractual agreement is combined, the purchasing contract is re-signed by considering possible demand increment in the future, and the supply quantity is increased, so that the purchasing demands of the plurality of users in the current and future period are met.
Preferably, the supply demand secondary matching module M2.3 includes:
the first processing module M2.3.1 is configured to present the number of products to be matched in a virtual environment in a manner of a space coloring area by using a first color, wherein the space coloring area can be a three-dimensional area or a two-dimensional plane area colored by the first color;
The second processing module M2.3.2 is used for creating different color painting pens for each provider of the products to be matched to respectively represent each provider, wherein the colors among the different painting pens are different and the colors of the painting pens are different from the first color, the number of the painting pens is consistent with the number of the providers, the color of the painting pens is the color which can paint a space coloring area at the initial time of the first color in a virtual environment, the space coloring area which can be painted by the painting pens reflects the number of the products to be matched which can be supplied by the corresponding provider of the painting pens, and the ratio of the painted color to the residual color space coloring area is displayed on the painting pens;
the third processing module M2.3.3 is used for coating color on the space coloring areas of the first color at the beginning with different color coating pens, marking the distribution proportion of the order quantity of the products to be matched among different suppliers according to the size proportion of the space coloring areas of different colors, recycling the product quantity represented by the coloring areas of the color coated with the color to the color coating pens of the color except for the first color, using the same color coating pen to coat color and recycle the color in the space coloring areas of the first color at the beginning of the different colors for different orders of the same products to be matched, and displaying the proportional relation value among the size of the space coloring areas of the colors in real time in a virtual environment;
and a fourth processing module M2.3.4 for matching the product to be matched with the suppliers according to the distribution proportion determined by the whole users of the virtual environment.
Preferably, in the supply demand docking step S2.1, the user purchase demand plan with the same data format is automatically docked with the order;
Preferably, in the supply demand secondary matching step S2.3, the following intelligent matching is performed according to different situations of the supply demand that the primary intelligent matching cannot successfully and intelligently match:
when the demand of a single user is larger than the current supply, combining the difference between the demand of the user and the current supply and considering the possible demand increment in the future, and matching the supply and the demand in the form of a complementary purchase order to completely meet the current purchase demand of the single user;
And B, when the total demand of the plurality of users is larger than the residual supply quantity of the contractual agreement, the balance between the demand of the plurality of users and the residual supply quantity of the contractual agreement is combined, the purchasing contract is re-signed by considering possible demand increment in the future, and the supply quantity is increased, so that the purchasing demands of the plurality of users in the current and future period are met.
Preferably, the supply demand secondary matching step S2.3 includes:
the first processing step S2.3.1, in the virtual environment, presenting the number of the products to be matched in a space coloring area by using a first color, wherein the space coloring area can be a three-dimensional area or a two-dimensional plane area colored by the first color;
A second processing step S2.3.2, namely creating different color painting pens for each provider of the products to be matched to respectively represent each provider, wherein the colors among the different painting pens are different, the colors of the painting pens are different from the first colors, the number of the painting pens is consistent with the number of the providers, the color of the painting pens can cover a space coloring area at the initial time of the first colors in a virtual environment, the space coloring area which can be painted by the painting pens reflects the number of the products to be matched which can be supplied by the corresponding provider of the painting pens, and the ratio of the painted color to the residual space coloring area is displayed on the painting pens;
A third processing step S2.3.3, in which different color coating pens are used for coating color on the space coloring areas at the initial time of the first color, the distribution proportion of the order quantity of the products to be matched among different suppliers is marked according to the size proportion of the space coloring areas with different colors, the product quantity represented by the coloring areas with the color coated with the color is recycled into the color coating pen with the color except for the first color, the same color coating pen is used for coating color and recycling the color in the space coloring areas at the initial time of the first colors of the different orders for different orders of the same products to be matched, and the proportional relation value among the size of the space coloring areas with different colors is displayed in real time in a virtual environment;
fourth process step S2.3.4 matches the product to be matched with the suppliers in a distribution ratio determined by the totality of users of the virtual environment.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention can be widely and efficiently applied to large-scale intensive purchasing of industrial products, and is especially suitable for complex purchasing requirements of large-scale steel enterprises for various types, types and frequent changes of requirements.
2. The invention can integrally solve the technical problem that diversified purchasing demands are difficult to meet quickly, which is proposed by multi-level and multi-department users, firstly, the invention carries out effective/ineffective demand recognition according to the diversified purchasing demands which are proposed by the users, converts the effective demands into a digital purchasing plan from word description, and simultaneously builds a supply order platform by means of a high-efficiency supply system which is built by integrating all potential purchasing demands, and carries out intelligent matching on the demand plan and the supply order through a supply and demand intelligent matching information processing system, thereby successfully solving a plurality of uncertain flow technical problems existing in the lengthy processes from user demands, order formation, order production, delivery preparation, delivery completion and the like.
3. The invention digitally converts the user purchase demand, wherein the traditional user purchase demand is generally in an 'alpha + numeric' form, and the purchase demand in the form cannot be formed into a purchase plan through a purchase system and transmitted to a provider in the form of an order. All characters in the purchasing demands of the user are creatively converted into the English code and number form, so that the purchasing demands of the user can be smoothly and efficiently transferred in a purchasing system;
4. The invention performs digital seamless butt joint and intelligent matching on the purchase plan and the supply order, wherein the purchase plan is used as the purchase requirement sent by the user and the supply order which can be identified by the supplier belongs to the personalized language of the upstream and downstream enterprises respectively, and is difficult to directly match. Under the actual condition of comprehensively considering the order format of the upstream provider and the purchase plan format of the downstream user, the invention develops common language which is simultaneously applicable to the upstream provider and the downstream user, and unified specification and sharing are carried out on key fields of the purchase plan and the supply order, thereby successfully solving the technical problem of unsmooth communication between the upstream provider and the downstream user. Meanwhile, the intelligent automatic matching is carried out between the user demand and the existing supply, the mathematical calculation logic of the specific scene is established by simulating various possible application scenes, and the intelligent matching of the purchasing plan and the supply order is realized in a programmed language, so that the long-term unmatched problem between the demand and the supply is effectively solved.
5. The comprehensive integrated supply module guarantees the full recognition of the user demands, the traditional purchasing demands of users are quite different and complex, and a plurality of purchasing systems are difficult to solve the long-standing problem. Aiming at the long-term purchase problem, the invention firstly carries out omnibearing collection, analysis and carding on the user demands, creatively adopts the digital and code processing technology in the carding analysis to realize 100% of the user demands to be analyzed and processed by computer language, thereby fully identifying the potential demands of the users by means of the powerful analysis processing capacity of the computer, and defining the information such as product names, categories, models, technical parameters and the like, and successfully solving the technical problem that the user demands are difficult to fully identify.
6. The invention fully combines the problems of large-scale steel enterprises in the aspect of purchasing industrial raw materials, solves a series of problems of various types, various models and difficult requirements in the aspect of purchasing industrial raw materials by intelligent data acquisition, information matching and other technologies based on an automatic information processing system, and comprehensively realizes the good technical effects of quick identification of purchasing requirements of the steel enterprises in the aspect of purchasing industrial raw materials, intelligent matching of requirements and orders, efficient organization production of suppliers according to the data orders and timely and accurate delivery completion.
7. According to the invention, the purchasing requirements proposed by the user are automatically subjected to requirement identification, key information extraction and important data automatic acquisition through the user requirement automatic acquisition module, so that the digital purchasing requirements are formed and automatically docked with the supply requirement docking module, the technical effects of the user requirements from the proposal, the automatic acquisition, the successful identification, the intelligent docking to the digital supply module are realized, and the technical effects of the accurate identification and the rapid data conversion of the user requirements are especially achieved.
8. According to the invention, the purchasing demand proposed by the user is reasonably and effectively analyzed through the intelligent user demand analysis module, and the effectiveness of the purchasing demand is automatically analyzed through the system, so that the technical effects of automatically shielding and blocking the ineffective demand and forming the effective digital purchasing demand are achieved.
9. According to the invention, the user purchasing demand which is realized once is intelligently traced through the potential demand recognition module, purchasing demand information is comprehensively analyzed and recognized from multiple dimensions according to the principle that the historical demand can reappear in the future through collecting and extracting the previous key demand data, the purchasing demand is deeply parsed through the intelligent analysis technology, and the technical effects of accurately recognizing the potential purchasing demand of the user, comprehensively analyzing and converting the data are realized.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
The invention provides a purchasing data analysis system based on intelligent matching of supply and demand, which comprises:
The demand management module M1 forms a digital purchasing demand plan and potential purchasing demands according to purchasing demands proposed by users;
The matching management module M2 is used for matching the purchasing demand plan with a provider;
and the supply management module M3 is used for matching the potential purchasing demand with the supplier and converting the potential purchasing demand into a digital supply order according to a matching result.
The demand management module M1 includes:
The user demand automatic acquisition module M1.1 adopts a user demand information processing system, and automatically performs demand identification, key information extraction and important data automatic acquisition according to purchasing demands proposed by users. Forming a digital purchasing demand plan based on the extracted user demand key information and important data;
The intelligent user demand analysis module M1.2 is a module for intelligent demand rationality and effectiveness analysis according to a purchasing demand plan proposed by a user. The module carries out intelligent identification on a digitized purchasing demand plan, automatically judges and blocks invalid purchasing demands to form the purchasing plan based on a purchasing demand static table, only allows reasonable purchasing plans conforming to purchasing demand static table setting logic to form effective user demands, and transmits the effective user demands to a purchasing center platform in a digitized form, wherein the automatic judgment is to identify whether one purchasing plan conforms to the following conditions, if so, the purchasing plan is considered to be effective, otherwise, the purchasing plan is not considered to be effective, the conditions comprise consistency of purchasing material names and model specifications, consistency of material codes and material names, corresponding effective contracts of the material codes, and compliance of purchasing quantity. Only if the judgment conditions are met, the effective plan can be considered, otherwise, the ineffective purchasing plan is considered.
The intelligent user demand recognition submodule M1.2.1 automatically recognizes the user demand, rapidly recognizes key field information in the user demand, realizes intelligent conversion from text description to digital description of the user demand, and makes preliminary preparation for supply order matching according to a purchasing plan by a purchasing system.
The invalid user demand filtering and blocking submodule M1.2.2 performs validity judgment on all the identified user demands, separates the invalid user demands from the valid user demands based on the current valid purchasing demand static table, and filters and blocks the invalid demands before the valid demands are converted into the purchasing plan so as to prevent the invalid demands from interfering with smooth realization of the valid demands.
The user demand purchasing plan conversion sub-module M1.2.3 converts the effective demand remaining after the ineffective demand is filtered and blocked by the ineffective user demand filtering and blocking sub-module into a digital purchasing plan, and establishes a channel for information transmission for matching the subsequent purchasing plan and the supply order.
The potential demand recognition module M1.3 is used for tracing all the once realized user purchasing demands, collecting and extracting key demand data from the once realized user demands, comprehensively recognizing demand information, summarizing and combing all the possibly existing purchasing demands to form a module of the user potential demands, and providing demand data reference for omnibearing integrated supply; specifically, the intelligent prediction of the potential demand is realized on the basis of comprehensively analyzing the effective orders of the same purchased material product accumulated in recent years, and the prediction of the future purchasing demand is formed by combining a data list formed by historical orders and considering the historical purchasing quantity, purchasing product codes, model numbers, purchasing period and the like of a main user. For the system predicted purchasing demand, which is used to provide demand data reference for the omnibearing integrated supply, the supplier can take advance preparation work according to the predicted demand to incorporate into the production plan. The main demands of users are continuously and stably met, and the unexpected potential demands can lead to poor supply in urgent production and even very rapid production preparation, so that the accuracy is high by prediction based on historical order records, and suppliers are prevented from rapid stock preparation.
The matching management module M2 includes:
the supply demand docking module M2.1 is a module for automatically docking information between a user purchase plan with the same data format and the order information processing module. The module is used as an execution system of the purchase center platform, and directly carries out automatic docking on a user purchase plan and a provider digital supply module, thereby creating preconditions for rapidly converting the user demand into an order which can be identified by the provider and immediately forming a production/stock instruction.
The supply demand one-time intelligent matching module M2.2 is a module that performs one-time intelligent matching on the product name, quantity and delivery time included in the purchase plan proposed by the user and the supply capability of the provider that can smoothly realize delivery according to the product name, quantity and delivery time. The module can realize that most of user purchase plans are matched with the supply order timely and efficiently, and delivery is completed quickly.
The supply demand secondary matching module M2.3 is an intelligent auxiliary matching module established for the supply demand that the above-mentioned supply demand primary intelligent matching module cannot successfully and intelligently match. The module carries out intelligent matching according to different situations of supply demand which cannot be successfully and intelligently matched, wherein in the situation A, when the situation that the single user demand is larger than the existing supply demand occurs, according to unsuccessful matching prompts given by a purchasing system, the difference between the user demand and the existing supply demand is combined, the possible demand increment in the future is considered, the supply and demand are matched in a form of reissuing a large purchasing order so as to completely meet the current purchasing demand of the single user, and in the situation B, when the situation that the total quantity of the plurality of user demands is larger than the residual supply quantity of the contract is occurred, according to unsuccessful matching prompts given by the purchasing system, the purchasing contract is reissued by combining the difference between the plurality of user demands and the residual supply quantity of the contract and considering the possible demand increment in the future, and the supply quantity is increased, so that the current purchasing demands of the plurality of users and the purchasing demands of a period in the future are successfully met.
The supply demand secondary matching module M2.3 includes:
The first processing module M2.2.1 presents the quantity of the product to be matched in a virtual environment, such as a VR environment, in a spatially-colored region, which may be a three-dimensional volumetric region or a two-dimensional planar region that is colored by the first color. The larger the spatially colored region of the first color, the greater the number of products to be matched.
The second processing module M2.2.2 creates, for each provider of the product to be matched, different color paint pens respectively representing each provider, wherein the different color paint pens have different colors and the color paint pens have different colors from the first color, the number of the paint pens is consistent with the number of the provider, the color paint pens can paint the space coloring area of the first color in the virtual environment, of course, the color of the paint pens can be set to be the same as the color of the paint area, further, the space coloring area which can paint the paint pens corresponds to the number of the product to be matched which the provider can supply;
The third processing module M2.2.3 is used for coating and covering the space coloring area at the initial time of the first color by using different coating pens, marking the distribution proportion of the order quantity of the products to be matched among different suppliers by using the size proportion of the space coloring area with different colors, namely dividing the space coloring area at the initial time of the first color by using a plurality of colors different from the first color, and recycling the quantity of the products represented by the coloring area with the color covered and coated into the coating pens with the color. In a preferred embodiment, in particular, for different orders of the same product to be matched, the same paint pen is used for painting and color recycling in the spatially painted areas of the different orders at the beginning of the respective first colors. In the virtual environment, the proportional relation value between the size of the space coloring area of each color is displayed in real time.
And a fourth processing module M2.2.4 for matching the product to be matched with the suppliers according to the distribution proportion determined by the whole users of the virtual environment.
The invention can satisfy the discussion and marking among a plurality of buyers remotely in the virtual environment by the identity of the user in the virtual environment, distributes the orders of the products to be matched into the sub orders supplied by a plurality of suppliers, has a visual marking mode, and can improve the communication effect and the editing effect of the blackboard writing.
The provisioning management module M3 includes:
The omnibearing integrated supply module M3.1 is a module for establishing corresponding integrated supply according to all user requirements formed by potential requirements. The integrated supply comprises a longitudinal single-flow supply chain and supply modules formed by a plurality of transverse suppliers. The longitudinal single-flow supply chain is established by a single supplier matched with products which can be supplied by the supplier according to the potential requirements. The supply chain will enable supply orders (containing multiple digitized supply information including product codes, quantity of demand, date of demand, etc.) built in a flow to be generated and delivered to the suppliers immediately after the supply system receives the digitized user demand plans. The suppliers immediately organize production or immediately shipping according to the digitized supply orders to achieve direct matching of the purchasing needs of the goods with the supply. Where a single supplier refers to a purchase with a material that is sent an order to only a single supplier. Only a single vendor can form a single, flowthrough supply chain. The supply module formed by the transverse multi-supplier is a transverse complementary supply module formed by the supplier with multi-furniture product variability and established based on that a single supplier cannot fully supply all the potential requirements, and aims to 100% meet all the existing potential requirements, so that the defect that a longitudinal single-flow supply chain cannot fully meet all the potential requirements is effectively solved. Wherein, multiple suppliers refer to sending order purchases to multiple suppliers for a certain material.
The digital supply module M3.2 analyzes all the important fields one by one according to all the effective requirements, and establishes a corresponding digital supply module. The module has the capability of generating a digitized supply order corresponding to a user's demand immediately upon receiving it. The digital supply module aims to realize that all effective potential demands of users are completely converted into digital orders, and creates convenience for suppliers to supply products.
The order information processing module M3.3 is used for directly guiding the suppliers to efficiently organize and produce according to the supply orders according to the effective user demands and combining the digital supply orders generated by the digital supply module, rapidly preparing goods and guiding the suppliers to send specific products and quantities required by the users to appointed delivery places on time.
The user needs to purchase 20 barrels of type A grease cleaner (30 kg per unit) and 30 cans of type B adhesive (50 ml per unit). Firstly, inquiring that the A-type grease cleaning agent and the B-type adhesive which are needed by the purchasing system are effective purchasing demands in an intelligent analysis subsystem of the purchasing system demand data, and then immediately inputting the purchasing demands and generating a purchasing plan. After the purchasing plan is approved by purchasing personnel, the demand supply matching (product name, model, quantity, delivery time and the like) is carried out through the supply and demand intelligent matching information processing system, and then the demand supply matching is smoothly converted into a supply order through the efficient supply system facing potential demands. Immediately after receiving the supply order, the suppliers organize production by order and arrange for shipment in a short period of time based on the product name, quantity, delivery time, and delivery location required by the order. On the premise of meeting the order requirement, the purchasing requirement is smoothly realized.
Those skilled in the art will appreciate that the systems, apparatus, and their respective modules provided herein may be implemented entirely by logic programming of method steps such that the systems, apparatus, and their respective modules are implemented as logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc., in addition to the systems, apparatus, and their respective modules being implemented as pure computer readable program code. Therefore, the system, the device and the respective modules thereof provided by the invention can be regarded as a hardware component, and the modules for realizing various programs included therein can be regarded as a structure in the hardware component, and the modules for realizing various functions can be regarded as a structure in the hardware component as well as a software program for realizing the method.
The invention provides a supply management method, which is used for matching potential purchasing demands with suppliers, converting the potential purchasing demands into digital supply orders according to matching results, and comprises the following steps:
forming all user demands according to a purchasing demand plan and potential purchasing demands, and establishing corresponding integrated supply relations for all the user demands;
A digital supply step S3.2, establishing a corresponding digital supply order according to the integrated supply relation;
and an order information processing step S3.3, guiding the supplier to organize production according to the supply order according to the digital supply order.
Preferably, in the omnibearing integrated supply step S3.1, the integrated supply includes:
A single supplier establishes a single-flow supply chain matched with products which can be supplied by the supplier according to potential purchasing demands, a supply order constructed according to flow can be generated based on the supply chain and transmitted to the supplier, and the supplier organizes production or delivery according to the digitized supply order to realize direct matching of the purchasing demands and the supplies of the products;
And a supply module formed by a plurality of suppliers, namely a transverse complementary supply module formed by suppliers with different products of a plurality of furniture, aiming at 100% meeting all the existing potential requirements, wherein the plurality of suppliers send order purchase to the plurality of suppliers for a certain material.
Preferably, in the digital supply step S3.2, all important fields are analyzed one by one according to all effective demands, a corresponding digital supply order is generated, and all effective potential demands of the user are converted into digital orders.
Preferably, in the order information processing step S3.3, the provider is directly guided to organize and produce according to the supply order according to the effective user purchasing demand in combination with the digital supply order generated by the digital supply module, so as to prepare goods, and the provider is guided to send the specific products and quantity required by the user to the designated delivery location on time.
According to the supply and demand matching purchase analysis system based on integrated supply management provided by the invention, the supply management method comprises the steps of:
The demand management step S1 is to form a digital purchasing demand plan and potential purchasing demands according to purchasing demands proposed by users;
and a matching management step S2, wherein the purchasing demand plan is matched with the suppliers.
Preferably, the demand management step S1 includes:
Step S1.1, automatically acquiring user demands, namely automatically carrying out demand identification according to purchasing demands proposed by users, and forming a digital purchasing demand plan based on the identified and extracted user demand key information and important data;
The intelligent analysis step S1.2 of the user demand carries out intelligent analysis of demand rationality and effectiveness according to the purchasing demand plan to obtain an effective purchasing demand plan;
And a potential demand identification step S1.3, namely tracing all the once realized user purchasing demands, collecting and extracting key demand data from the once realized user demands, summarizing and combing all the potentially existing purchasing demands to form the user potential purchasing demands.
Preferably, the matching management step S2 includes:
a supply demand docking step S2.1, converting a purchasing demand plan into an order which can be identified by a supplier;
A primary intelligent matching step S2.2 of carrying out primary intelligent matching on the product names, the product numbers and the delivery time contained in the purchasing demand plan and the supply capacity of the suppliers, wherein the supply capacity can realize delivery according to the product names, the product numbers and the delivery time;
and a supply demand secondary matching step S2.3, namely aiming at the supply demand which cannot be successfully and intelligently matched in the supply demand primary intelligent matching step S2.2, carrying out matching.
The foregoing describes specific embodiments of the present application. It is to be understood that the application is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the application. The embodiments of the application and the features of the embodiments may be combined with each other arbitrarily without conflict.