CN110969502A - Electronic commerce platform and supply and demand matching method - Google Patents
Electronic commerce platform and supply and demand matching method Download PDFInfo
- Publication number
- CN110969502A CN110969502A CN201811145769.7A CN201811145769A CN110969502A CN 110969502 A CN110969502 A CN 110969502A CN 201811145769 A CN201811145769 A CN 201811145769A CN 110969502 A CN110969502 A CN 110969502A
- Authority
- CN
- China
- Prior art keywords
- purchasing
- information
- supply
- matched
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims description 32
- 238000004519 manufacturing process Methods 0.000 claims abstract description 37
- 238000004458 analytical method Methods 0.000 claims description 48
- 238000007726 management method Methods 0.000 claims description 35
- 238000012545 processing Methods 0.000 claims description 18
- 230000003993 interaction Effects 0.000 claims description 8
- 238000005457 optimization Methods 0.000 claims description 8
- 238000004422 calculation algorithm Methods 0.000 claims description 7
- 238000013473 artificial intelligence Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 description 24
- 239000003208 petroleum Substances 0.000 description 18
- 238000010586 diagram Methods 0.000 description 13
- 238000003860 storage Methods 0.000 description 12
- 238000004590 computer program Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 8
- 230000006399 behavior Effects 0.000 description 7
- 238000010224 classification analysis Methods 0.000 description 6
- 238000000611 regression analysis Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 4
- 238000007621 cluster analysis Methods 0.000 description 4
- 238000003062 neural network model Methods 0.000 description 4
- 238000012549 training Methods 0.000 description 4
- 238000010801 machine learning Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000012558 master data management Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000012550 audit Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000013439 planning Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 239000004698 Polyethylene Substances 0.000 description 1
- 238000012300 Sequence Analysis Methods 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 238000012098 association analyses Methods 0.000 description 1
- 238000012097 association analysis method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- -1 polyethylene Polymers 0.000 description 1
- 229920000573 polyethylene Polymers 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an electronic commerce system and a supply and demand matching relationship, wherein an electronic commerce platform is respectively integrated with a purchasing side system and a supplying side system; the electronic commerce platform includes: the supply and demand matching module is used for determining the supply and demand relationship between the purchasing party to be matched and the supplying party to be matched according to the latest purchasing information of the purchasing party system to be matched and the latest supplying information of the supplying party system to be matched; the purchasing information comprises: the purchasing amount, the purchasing party production information and the purchasing party safety stock range; the provisioning information includes: supply volume, supplier production information, and supplier secure inventory range. By the embodiment of the application, the satisfaction degree of the purchasing party and the supplying party on the determined matching relation is increased, and the transaction rate of the supplying and supplying parties is improved.
Description
Technical Field
The invention relates to the field of internet, in particular to an electronic commerce platform and a supply and demand matching method.
Background
Petrochemical products belong to a large group of products, such as fertilizers and polyethylene. Bulk products refer to large batches of physical goods that can enter the field of circulation, but not the retail segment, and have commodity attributes and are used for industrial and agricultural production and consumption.
At present, petrochemical purchasing parties mainly comprise enterprises in various industries and different types of dealers. The transaction mode between the supplier and the buyer mainly comprises the following steps: wholesale and direct sale by customers.
The existing transaction mode between the supplier and the buyer results in lower transaction efficiency.
Disclosure of Invention
In view of the above, the present invention has been developed to provide an e-commerce platform that overcomes, or at least partially solves, the above-mentioned problems.
The application discloses an electronic commerce platform, which is integrated with a purchasing side system and a supplying side system respectively; the electronic commerce platform includes:
the supply and demand matching module is used for determining the supply and demand relationship between the purchasing party to be matched and the supplying party to be matched according to the latest purchasing information of the purchasing party system to be matched and the latest supplying information of the supplying party system to be matched; the purchasing information comprises: the purchasing amount, the purchasing party production information and the purchasing party safety stock range; the provisioning information includes: supply volume, supplier production information, and supplier secure inventory range.
Wherein the supply and demand matching module determines the supply and demand relationship by:
constructing a supply and demand matching model according to an artificial intelligence algorithm;
inputting the latest purchasing information of the purchasing side system to be matched and the latest supply information of the supplying side system to be matched into the supply and demand matching model to obtain the supply and demand relationship.
Wherein, the electronic commerce platform is also integrated with the system of the logistics enterprise.
Wherein, the electronic commerce platform still includes: a supply and demand optimization module;
and the supply and demand optimization module is used for determining the latest logistics demand information meeting the purchasing system to be matched and the supply and demand relationship meeting the latest logistics demand information of the supplying system to be matched from the supply and demand relationship determined by the supply and demand matching module according to the logistics information provided by the system of the logistics enterprise.
Wherein, the electronic commerce platform still includes: an analysis module;
and the analysis module is used for analyzing the historical purchasing information and analyzing the historical supply information.
Wherein, the electronic commerce platform still includes: a user interaction module;
the user interaction module is used for receiving a trigger instruction of a user to a preset sub-module, operating a program of the preset sub-module and displaying an operation result; the preset submodule comprises: the system comprises an information display sub-module, an information query sub-module, a third-party order access and synchronization sub-module, an order processing sub-module, a preset mode transaction sub-module, a customer financial reconciliation sub-module, a customer ordering sub-module and a fund account management sub-module.
Wherein, the electronic commerce platform still includes: a service processing module;
and the business processing module is used for processing the main data and the business data in the electronic commerce platform.
The application also provides a supply and demand matching method, which comprises the following steps:
receiving a purchasing request sent by a purchasing side system to be matched and/or receiving a supply request sent by a supplying side system to be matched; the purchase request includes: the purchasing amount of the purchasing party to be matched, the production information of the purchasing party to be matched and the safety inventory range of the purchasing party to be matched; the provisioning request includes: the supply quantity of the supplier to be matched, the production information of the supplier to be matched and the safety stock range of the supplier to be matched;
determining a supply and demand matching relation meeting a preset condition; the preset conditions include: satisfying the procurement request and satisfying the provisioning request;
and returning the supply and demand matching relationship to the purchasing side system to be matched and the supplier system to be matched.
Wherein the purchase request further comprises: the latest logistics demand information of the purchasing side system to be matched; the provisioning request further comprises: and the latest logistics demand information of the supplier system to be matched.
Wherein, still include:
receiving an analysis request sent by a purchasing party system;
returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the purchasing side system;
receiving an analysis request sent by a supplier system;
and returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the supplier system.
The beneficial effects of the embodiment of the application are as follows:
in the embodiment of the application, the e-commerce platform is integrated with the purchasing side system and the supplying side system, so that the supply and demand matching module can acquire all the latest purchasing side information to be matched and all the latest supplying side information to be matched; in the embodiment of the application, the supply and demand matching module determines the supply and demand relationship according to the latest purchasing party information to be matched and the latest supplying party information to be matched; according to the embodiment of the application, when the supply and demand matching module determines the supply and demand relationship between the purchasing party and the supplying party, the supply and demand matching module integrates the purchasing amount, the purchasing party production information and the purchasing party safety stock range in the purchasing party information, and integrates the supplying amount, the supplying party production information and the supplying party safety stock range in the supplying party information; the matching relation determined by the supply and demand matching module meets the requirements of the purchasing party and the supplying party in different aspects, the satisfaction degree of the purchasing party and the supplying party on the determined matching relation is increased, and the transaction rate of the supplying and demand parties is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 illustrates a logical architecture diagram of an e-commerce platform of the present application;
FIG. 2 is a schematic diagram showing the structure of the e-commerce platform, the buyer system and the supplier system;
fig. 3 shows a flowchart of an embodiment of a supply and demand matching method in the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In the embodiment of the present application, since the petrochemical is continuous in production (as long as a preset number of products are set to be produced, it cannot be stopped in the production process until the preset number is produced), and there is a limit in the existence of safety stock for each supplier. Therefore, after the supplier sets the production information, the supplier needs to match the buyer before producing according to the production information, so that the supplier and the buyer can achieve the supply and demand relationship, and the supplier can complete the production on the premise of meeting the safety inventory of the supplier according to the supply and demand relationship, and simultaneously meet the matched purchasing quantity of the buyer, the matched production information of the buyer and the conditions of the safety inventory. Further, the efficiency of the transaction between the supplier and the buyer is improved.
In order to achieve matching between a supplier to be matched and a buyer to be matched, in the embodiment of the application, an electronic commerce platform is provided for realizing supply and demand matching between the buyer and the supplier in the petrochemical industry. In order to enable the electronic commerce platform in the embodiment of the application to acquire the purchasing information of the purchasing party to be matched and the supply information of the supplying party to be matched in real time, the electronic commerce platform in the embodiment of the application is integrated with enterprise systems of a plurality of purchasing parties and enterprise systems of a plurality of supplying parties respectively. For convenience of description, the enterprise system of the purchasing party is referred to as a purchasing party system in the embodiment of the application; the supplier's enterprise system is referred to as the supplier system.
The electronic commerce platform in the embodiment of the application mainly comprises: a foreground application layer, a middle service logic layer, and a background data layer, as shown in fig. 1, show a schematic diagram of a logic architecture of an e-commerce platform in the present application.
Wherein, the foreground application layer mainly includes: the system comprises a transaction platform, a mobile terminal application, a customer self-service module, a third-party e-commerce platform, an information platform, a customer service platform and the like. The trading platform has the functions of commodity display, bidding trading, direct purchasing, order pricing, listing trading and the like. The mobile terminal application provides functions of customer information inquiry, customer point inquiry, order examination and approval, logistics information inquiry and customer financial reconciliation. The customer self-service module has the functions of customer information maintenance, fund account management, unfinished order management and historical order query. The third party e-commerce platform will provide third party order access and synchronization functions. The consultation platform provides functions of enterprise and news exhibition, information push, content management and knowledge management. The client platform provides functions of client consultation and ordering on behalf of the client.
The middle logic layer mainly comprises: commodity management center, member management center, price/sales promotion management center, order information center, logistics information center, payment management, member demand management, multi-site management, and the like. The commodity management center provides functions of commodity catalog management, commodity content management and commodity shelf loading/unloading management. The member management center provides functions of member master data maintenance and synchronization, member level maintenance and member loyalty management. The order information center provides the functions of order inquiry and modification, automatic audit of manual order audit and contract generation. The logistics information center provides the functions of pick-up point management, transportation management and third-party transportation companies. The payment management provides functions of online payment, offline payment and deposit. Member demand management provides the functions of customer demand, offer management, and contract management. The multi-site management is provided with the functions of third-party supplier management and third-party site management.
The background data layer mainly comprises: the system includes an existing Enterprise Resource Planning (ERP) system, a Customer Relationship Management (CRM) system, a Master Data Management (MDM) system, and a petrochemical sales system. The ERP function mainly comprises production resource planning, manufacturing, finance, selling, purchasing, quality management, business process management, product data management, inventory, distribution and transportation management, human resource management and regular reporting function. CRM is a software system that uses computers to automatically analyze the flow of sales, marketing, customer service, and applications. The MDM is used to generate floor master data and distribution procedures and flows.
In the embodiment of the present application, since the e-commerce platform is integrated with the enterprise system of the supplier of the buyer, specifically, the scenario diagrams of the enterprise system of the supplier, the enterprise system of the buyer and the e-commerce platform are shown in fig. 2, which shows the structural diagrams of the e-commerce platform, the buyer system and the supplier system in the present application.
In fig. 2, the supplier system includes: the system comprises an ERP system, a contract management system, a CRM system, an order system, a logistics management system, a scheduling system, a fund management system, a petrochemical sale system and a main data system. The supplier system may provide the user with the function of inputting production information, warehousing information, supply information, and logistics demand information.
The purchasing side system comprises: the system comprises an ERP system, a contract management system, a CRM system, a purchasing system, a general management platform, a scheduling system, a production management system, a payment management system and a main data system. The purchasing system provides purchasing information, warehousing information, production information, logistics demand information and other functions for the user.
Because the purchasing system and the supplying system are integrated and butted with the electronic commerce platform respectively, the data input and updated by the user in the purchasing system can be transmitted to the electronic commerce platform in time; similarly, data input and updated by the user in the supplier system can be transmitted to the e-commerce platform in time. At this time, all the operation data of the buyer and the supplier, for example, the latest purchasing information, the latest supplying information, the historical browsing data, the historical transaction information, etc. are stored in the electronic commerce platform. Moreover, the data of the e-commerce platform in the embodiment of the present application may further include: market information, trend data, geopolitical data, natural environment data, financial environment data, exchange rate information, cost information, industry information, and the like.
The electronic commerce platform in the embodiment of the application comprises: and the supply and demand matching module is used for determining the supply and demand relationship between the purchasing party to be matched and the supplying party to be matched according to the latest purchasing information of the purchasing party system to be matched and the latest supplying information of the supplying party system to be matched.
Wherein, the purchase information may include: the purchasing amount, the purchasing party production information and the purchasing party safety stock range; the provisioning information may include: supply volume, supplier production information, and supplier secure inventory range.
Specifically, the supply and demand matching module determines the supply and demand relationship by: firstly, constructing a supply and demand matching model according to an artificial intelligence algorithm; and then inputting the latest purchasing information of the purchasing side system to be matched and the latest supply information provided by the supplier to be matched into a supply and demand matching model to obtain a supply and demand relationship.
In this application embodiment, the e-commerce platform can also be docked with a system of a logistics enterprise, and the system of the logistics enterprise can provide pipeline transportation information, railway transportation information, road transportation information, waterway transportation information and the like.
Meanwhile, the electronic commerce platform can also comprise a supply and demand optimization module; the supply and demand optimization module is used for determining the latest logistics demand information meeting the purchasing system to be matched and the supply and demand relationship meeting the latest logistics demand information of the supplying system to be matched from the supply and demand relationship determined by the supply and demand matching module according to the logistics information provided by the system of the logistics enterprise.
The e-commerce platform in embodiments of the present application may also include an analysis module. The analysis module is used for analyzing the historical supply information.
The e-commerce platform in the embodiment of the present application may further include: and a user interaction module.
The user interaction module is used for receiving a trigger instruction of a user to a preset submodule, operating a program of the preset submodule and displaying an operation result; the preset submodule comprises: the system comprises an information display sub-module, an information query sub-module, a third-party order access and synchronization sub-module, an order processing sub-module, a preset mode transaction sub-module, a customer financial reconciliation sub-module, a customer ordering sub-module and a fund account management sub-module. The user interaction module implements the functionality provided by the foreground application layer of the e-commerce platform of FIG. 1.
The e-commerce platform in the embodiment of the present application may further include: a service processing module;
the business processing module is used for processing main data and business data in the electronic commerce platform.
In the embodiment of the application, in order to realize the functions of the supply and demand matching module, the supply and demand optimization module and the analysis module, the electronic commerce platform is provided with a module library, an algorithm library, a knowledge base, an association rule analysis submodule, a classification analysis submodule, a cluster analysis submodule, a sequence analysis submodule, a regression analysis submodule, a machine learning unit, a simulation unit and a prediction unit. The machine learning unit can be composed of one or more of a model base, an algorithm base and a knowledge base; the simulation unit can be composed of one or more of a model base, an algorithm base and a knowledge base; the prediction unit may be composed of one or more of a model base, an algorithm base, and a knowledge base.
The supply and demand matching module can determine a supply and demand matching relationship through the machine learning unit; the function of the analysis module can be realized by one or more of an association rule analysis submodule, a classification analysis submodule, a cluster analysis submodule, a sequence pattern analysis submodule and a regression analysis submodule.
Referring to fig. 3, a flow chart of an embodiment of a supply and demand matching method in the present application is shown, and the embodiment of the supply and demand matching method may include the following steps:
step 301: and receiving a purchasing request sent by the purchasing side system to be matched and/or receiving a supply request sent by the supplying side system to be matched.
In this step, the purchase request may include: the purchasing amount of the purchasing party to be matched, the production information of the purchasing party to be matched and the safety stock range of the purchasing party to be matched; the provisioning request may include: the supply quantity of the supplier to be matched, the production information of the supplier to be matched and the safety stock range of the supplier to be matched.
Step 302: and determining a supply and demand matching relation meeting the preset conditions.
In this step, the preset conditions may include: the procurement request is satisfied and the supply request is satisfied.
In practical applications, the step may be performed by including steps a1 to A3:
step A1: training samples are obtained.
In this step, the training samples are the purchasing information of the purchasing party to be matched and the supply information of the supplying party to be matched, which are obtained by the technical staff through simulating various scenes in advance, and the supply-demand relationship between the purchasing party to be matched and the supplying party to be matched.
Step A2: and inputting the obtained training sample into a neural network model constructed in advance, and training the neural network model to obtain the trained neural network model.
Step A3: and inputting the purchase request and/or the supply request into the trained neural network model to obtain a supply and demand matching relation.
Step 303: and returning the supply and demand matching relation to the purchasing side system to be matched and the supplying side system to be matched.
One specific scenario is as follows:
suppose there are 2 purchasing parties to be matched, purchasing party 1 and purchasing party 2 respectively. Wherein, the purchase amount in the purchase information of the purchasing party 1 is: 2500 tons of petroleum are needed to be purchased in 2018 from 8 to 11 months; the production information is: 400 tons of petroleum need to be used in 8 months, 500 tons of petroleum need to be used in 9 months, 200 tons of petroleum need to be used in 10 months, and 100 tons of petroleum need to be used in 11 months; the current stock is 1000 tons of petroleum, and the safe stock range is not more than 2500 tons of petroleum. The purchase amount in the purchase information of the purchasing party 2 is: 2700 tons of petroleum are needed to be purchased in 2018 in 9-12 months; the production information is: 300 tons of petroleum need to be used in 9 months, 600 tons of petroleum need to be used in 10 months, 100 tons of petroleum need to be used in 11 months, and 300 tons of petroleum need to be used in 12 months; the current stock is 500 tons of oil, and the safety stock range is not more than 3000 tons of oil.
The supply amount in the supply information of the supplier 1 is 2700 tons of petroleum supplied in 8 months in 2018; the production information is that 2700 tons of petroleum are produced in 8 months in 2018; the current stock is 2000 tons, and the safety stock range is not more than 3000 tons; the supply amount in the supply information of the supplier 2 is 500 tons of petroleum supplied in 2018 and 9 months; the production information is 700 tons of petroleum produced in 8 months in 2018; the current stock is 1500 tons, and the safety stock range is not more than 3000 tons.
Taking the above scenario as an example, the form of the supply relationship may include: supplier 1 provides 700 tons of petroleum for buyer 1 and 500 tons of petroleum for buyer 2 in 8 months; supplier 2 supplies 1000 tons of oil to buyer 1 in 9 months. It should be noted that the present disclosure is only one form of supply and demand relationship; in the above exemplary scenario, the supply and demand matching relationship between the purchasing party to be matched and the supplying party to be matched is subject to the supply and demand matching relationship calculated in this embodiment.
The embodiment determines the supply relationship between the purchasing party to be matched and the supplying party to be matched according to the latest purchasing information of the purchasing party to be matched and the latest supplying information of the supplying party to be matched. At this time, the determined supply and demand relationship needs to meet the requirements of both the buyer and the supplier, the production information of the supplier, the safety stock range and other requirements, so that the determined supply and demand relationship simultaneously meets the benefits of the buyer and the supplier to be matched.
In this embodiment, the purchasing request may further include the latest logistics demand information of the purchasing system to be matched; the supplier system to be matched may further include latest logistics demand information of the supplier system to be matched, and according to logistics information provided by the system of the logistics enterprise, because there may be a plurality of schemes for the supply-demand relationship determined in this embodiment, the supply-demand relationship that satisfies the latest logistics demand information of the buyer system to be matched and also satisfies the supply-demand relationship of the latest logistics demand information of the supplier system to be matched is determined from the determined supply-demand relationship, and is the optimized supply-demand relationship.
In this embodiment, the method may further include the following steps:
step 304: and receiving an analysis request sent by the purchasing system.
Step 305: and determining the analysis result.
Specifically, the process of determining the analysis result of the historical provision information may include steps B1 to B6:
step B1: historical operation data of all suppliers in the platform in the electronic commerce platform is obtained.
Step B2: from the acquired historical operation data, registration data and access data of each supplier are determined. (Classification analysis)
Step B3: and mining the registration data and the access data of each supplier to obtain the basic information, the access mode and interested commodities of each supplier. (Classification analysis)
Step B4: suppliers with the same interested goods are divided into a supplier group according to the interested goods of each supplier. (Cluster analysis)
Step B5: and predicting the transaction patterns required by different supplier groups based on the historical transaction information of the different supplier groups, the historical supply information of the different supplier groups and the historical supply behaviors of the different supplier groups. (regression analysis)
Step B6: and predicting the supply price of each supplier according to market information, environmental factors and historical trading behaviors of each supplier. (regression analysis)
Specifically, the process of determining the analysis result of the historical purchasing information may include steps C1 to C7:
step C1: and acquiring historical operation data of each purchasing party on the electronic commerce platform.
Step C2: from the acquired historical operating data, registration data and access data for each purchasing party are determined. (Classification analysis)
Step C3: and mining the registration data and the access data of each purchasing party to obtain the basic information, the access mode, the purchasing behavior and interested commodities of each purchasing party. (Classification analysis)
Step C4: according to the commodities interested by each purchasing party, the purchasing parties with the same interested commodities are divided into a purchasing party group. (Cluster analysis)
Step C5: and predicting the transaction modes required by different purchasing party groups based on the historical transaction information of the different purchasing party groups, the historical demand information of the different purchasing party groups and the historical purchasing behaviors of the different purchasing party groups. (regression analysis)
Step C6: and determining the association relationship between the purchasing behavior of each purchasing party and the purchasing price. (correlation analysis)
Specifically, for each purchasing party, the present embodiment may determine, by using an association analysis method, an association analysis between the purchasing behavior of each purchasing party and the purchasing price.
Step C7: and predicting the price required by each purchasing party according to the market information and the incidence relation between the historical purchasing behavior and the purchasing price of each purchasing party. (regression analysis)
Step 306: and returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the purchasing side system.
The buyer determines the purchasing information according to the predicted supply price of each supplier in the analysis result.
Step 307: an analysis request sent by a provider system is received.
Step 308: and determining the analysis result.
In this step, the process of determining the analysis result is the same as that in step 305, and is not described herein again.
Step 309: and returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the supplier system.
It should be noted that, the precedence relationship between the steps 301 to 303, 304 to 306, and 307 to 309 is not limited in this embodiment.
In this embodiment, historical operation data of a purchasing party is analyzed, and market information is analyzed to obtain information integrating multiple dimensions, so that the information integrating multiple dimensions can provide reference data for determining generation information and the like of a supplying party; similarly, the historical operation data of the supplier is analyzed, the market information is analyzed, and the information of a plurality of latitudes is integrated, so that the multi-dimensional information can provide reference data for the buyer to determine the purchasing information and the like.
The electronic commerce platform comprises a processor and a memory, wherein the supply and demand matching module, the supply and demand optimization module, the analysis module, the user interaction module, the business processing module and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the transaction efficiency is improved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium on which a program is stored, the program implementing the supply and demand matching method when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the supply and demand matching method is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: a supply and demand matching method comprising:
receiving a purchasing request sent by a purchasing side system to be matched and/or receiving a supply request sent by a supplying side system to be matched; the purchase request includes: the purchasing amount of the purchasing party to be matched, the production information of the purchasing party to be matched and the safety inventory range of the purchasing party to be matched; the provisioning request includes: the supply quantity of the supplier to be matched, the production information of the supplier to be matched and the safety stock range of the supplier to be matched;
determining a supply and demand matching relation meeting a preset condition; the preset conditions include: satisfying the procurement request and satisfying the provisioning request;
and returning the supply and demand matching relationship to the purchasing side system to be matched and the supplier system to be matched.
Wherein the purchase request further comprises: the latest logistics demand information of the purchasing side system to be matched; the provisioning request further comprises: and the latest logistics demand information of the supplier system to be matched.
Wherein, still include:
receiving an analysis request sent by a purchasing party system;
returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the purchasing side system;
receiving an analysis request sent by a supplier system;
and returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the supplier system.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
a supply and demand matching method comprising:
receiving a purchasing request sent by a purchasing side system to be matched and/or receiving a supply request sent by a supplying side system to be matched; the purchase request includes: the purchasing amount of the purchasing party to be matched, the production information of the purchasing party to be matched and the safety inventory range of the purchasing party to be matched; the provisioning request includes: the supply quantity of the supplier to be matched, the production information of the supplier to be matched and the safety stock range of the supplier to be matched;
determining a supply and demand matching relation meeting a preset condition; the preset conditions include: satisfying the procurement request and satisfying the provisioning request;
and returning the supply and demand matching relationship to the purchasing side system to be matched and the supplier system to be matched.
Wherein the purchase request further comprises: the latest logistics demand information of the purchasing side system to be matched; the provisioning request further comprises: and the latest logistics demand information of the supplier system to be matched.
Wherein, still include:
receiving an analysis request sent by a purchasing party system;
returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the purchasing side system;
receiving an analysis request sent by a supplier system;
and returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the supplier system.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An electronic commerce platform, characterized in that, the electronic commerce platform is integrated with a purchasing side system and a supplying side system respectively; the electronic commerce platform includes:
the supply and demand matching module is used for determining the supply and demand relationship between the purchasing party to be matched and the supplying party to be matched according to the latest purchasing information of the purchasing party system to be matched and the latest supplying information of the supplying party system to be matched; the purchasing information comprises: the purchasing amount, the purchasing party production information and the purchasing party safety stock range; the provisioning information includes: supply volume, supplier production information, and supplier secure inventory range.
2. The e-commerce platform of claim 1, wherein the supply and demand matching module determines the supply and demand relationship by:
constructing a supply and demand matching model according to an artificial intelligence algorithm;
inputting the latest purchasing information of the purchasing side system to be matched and the latest supply information of the supplying side system to be matched into the supply and demand matching model to obtain the supply and demand relationship.
3. The e-commerce platform of claim 1, wherein the e-commerce platform is further integrated with a system of a logistics enterprise.
4. The e-commerce platform of claim 3, wherein the e-commerce platform further comprises: a supply and demand optimization module;
and the supply and demand optimization module is used for determining the latest logistics demand information meeting the purchasing system to be matched and the supply and demand relationship meeting the latest logistics demand information of the supplying system to be matched from the supply and demand relationship determined by the supply and demand matching module according to the logistics information provided by the system of the logistics enterprise.
5. The e-commerce platform of claim 4, wherein the e-commerce platform further comprises: an analysis module;
and the analysis module is used for analyzing the historical purchasing information and analyzing the historical supply information.
6. The e-commerce platform of claim 1, wherein the e-commerce platform further comprises: a user interaction module;
the user interaction module is used for receiving a trigger instruction of a user to a preset sub-module, operating a program of the preset sub-module and displaying an operation result; the preset submodule comprises: the system comprises an information display sub-module, an information query sub-module, a third-party order access and synchronization sub-module, an order processing sub-module, a preset mode transaction sub-module, a customer financial reconciliation sub-module, a customer ordering sub-module and a fund account management sub-module.
7. The e-commerce platform of claim 1, wherein the e-commerce platform further comprises: a service processing module;
and the business processing module is used for processing the main data and the business data in the electronic commerce platform.
8. A supply and demand matching method, comprising:
receiving a purchasing request sent by a purchasing side system to be matched and/or receiving a supply request sent by a supplying side system to be matched; the purchase request includes: the purchasing amount of the purchasing party to be matched, the production information of the purchasing party to be matched and the safety inventory range of the purchasing party to be matched; the provisioning request includes: the supply quantity of the supplier to be matched, the production information of the supplier to be matched and the safety stock range of the supplier to be matched;
determining a supply and demand matching relation meeting a preset condition; the preset conditions include: satisfying the procurement request and satisfying the provisioning request;
and returning the supply and demand matching relationship to the purchasing side system to be matched and the supplier system to be matched.
9. The method of claim 8, wherein the purchase request further comprises: the latest logistics demand information of the purchasing side system to be matched; the provisioning request further comprises: and the latest logistics demand information of the supplier system to be matched.
10. The method of claim 8, further comprising:
receiving an analysis request sent by a purchasing party system;
returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the purchasing side system;
receiving an analysis request sent by a supplier system;
and returning the analysis result of the historical purchasing information and/or the analysis result of the historical supply information to the supplier system.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811145769.7A CN110969502A (en) | 2018-09-29 | 2018-09-29 | Electronic commerce platform and supply and demand matching method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811145769.7A CN110969502A (en) | 2018-09-29 | 2018-09-29 | Electronic commerce platform and supply and demand matching method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110969502A true CN110969502A (en) | 2020-04-07 |
Family
ID=70027332
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811145769.7A Pending CN110969502A (en) | 2018-09-29 | 2018-09-29 | Electronic commerce platform and supply and demand matching method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110969502A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112581010A (en) * | 2020-12-25 | 2021-03-30 | 政和科技股份有限公司 | System and method for supply and demand butt joint matching of industrial products |
CN113657690A (en) * | 2021-09-01 | 2021-11-16 | 耦合网络科技(上海)有限公司 | Artificial intelligence automatic supply and demand accurate matching system based on big data analysis |
CN113744024A (en) * | 2021-08-30 | 2021-12-03 | 平安科技(深圳)有限公司 | Merchant matching method and device, computer equipment and storage medium |
CN114493430A (en) * | 2022-01-20 | 2022-05-13 | 吉林农业科技学院 | Logistics distribution system and method based on big data |
CN117670467A (en) * | 2023-11-01 | 2024-03-08 | 广州市数商云网络科技有限公司 | Supply-purchase management and control method and device based on B2B industrial platform |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002053212A (en) * | 2000-06-02 | 2002-02-19 | Yk Logistic Corp | Physical distribution management system and physical distribution management method |
CN106910110A (en) * | 2017-02-10 | 2017-06-30 | 韩杰 | A kind of order transaction management system |
CN107871220A (en) * | 2016-09-28 | 2018-04-03 | 湖南易分销电子商务有限公司 | A kind of method based on electric business platform physical distribution trading information |
CN108241993A (en) * | 2017-12-28 | 2018-07-03 | 泰康保险集团股份有限公司 | Adopt pin integrated management system |
CN108335179A (en) * | 2018-03-28 | 2018-07-27 | 李本道 | Staple commodities method of commerce, apparatus and system |
-
2018
- 2018-09-29 CN CN201811145769.7A patent/CN110969502A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002053212A (en) * | 2000-06-02 | 2002-02-19 | Yk Logistic Corp | Physical distribution management system and physical distribution management method |
CN107871220A (en) * | 2016-09-28 | 2018-04-03 | 湖南易分销电子商务有限公司 | A kind of method based on electric business platform physical distribution trading information |
CN106910110A (en) * | 2017-02-10 | 2017-06-30 | 韩杰 | A kind of order transaction management system |
CN108241993A (en) * | 2017-12-28 | 2018-07-03 | 泰康保险集团股份有限公司 | Adopt pin integrated management system |
CN108335179A (en) * | 2018-03-28 | 2018-07-27 | 李本道 | Staple commodities method of commerce, apparatus and system |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112581010A (en) * | 2020-12-25 | 2021-03-30 | 政和科技股份有限公司 | System and method for supply and demand butt joint matching of industrial products |
CN113744024A (en) * | 2021-08-30 | 2021-12-03 | 平安科技(深圳)有限公司 | Merchant matching method and device, computer equipment and storage medium |
CN113744024B (en) * | 2021-08-30 | 2024-02-02 | 平安科技(深圳)有限公司 | Merchant matching method and device, computer equipment and storage medium |
CN113657690A (en) * | 2021-09-01 | 2021-11-16 | 耦合网络科技(上海)有限公司 | Artificial intelligence automatic supply and demand accurate matching system based on big data analysis |
CN114493430A (en) * | 2022-01-20 | 2022-05-13 | 吉林农业科技学院 | Logistics distribution system and method based on big data |
CN114493430B (en) * | 2022-01-20 | 2022-10-04 | 吉林农业科技学院 | Logistics distribution system and method based on big data |
CN117670467A (en) * | 2023-11-01 | 2024-03-08 | 广州市数商云网络科技有限公司 | Supply-purchase management and control method and device based on B2B industrial platform |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ferreira et al. | Analytics for an online retailer: Demand forecasting and price optimization | |
CN110969502A (en) | Electronic commerce platform and supply and demand matching method | |
Kalish | Monopolist pricing with dynamic demand and production cost | |
Maihami et al. | Effect of two-echelon trade credit on pricing-inventory policy of non-instantaneous deteriorating products with probabilistic demand and deterioration functions | |
Lingam | The role of Artificial Intelligence (AI) in making accurate stock decisions in E-commerce industry | |
Mandal et al. | A two-warehouse integrated inventory model with imperfect production process under stock-dependent demand and quantity discount offer | |
Kadłubek | The Selected Areas of E-logistics in Polish E-commerce | |
Cuartas et al. | Hybrid algorithm based on reinforcement learning for smart inventory management | |
Kuppulakshmi et al. | Fuzzy inventory model for imperfect items with price discount and penalty maintenance cost | |
Guo et al. | Location-inventory decisions for closed-loop supply chain management in the presence of the secondary market | |
Yang | Cross‐border expansion of digital platforms and transformation of the trade and distribution networks of imported fresh fruits from Southeast Asia to China | |
XIE et al. | The Implication of E-Business Management in China Wholesale and Retail Industries. | |
Moosavi Tabatabaei et al. | Optimal pricing and marketing planning for deteriorating items | |
Swamy | The digital economy: New business models and key features | |
Martasari | Impact of Industrial Technology 4.0 In Improving Service Quality and Customer Experience on E-Commerce Platforms: Literature Review | |
US20220309355A1 (en) | Logistics communication flow systems and methods | |
Mahammadi Torkamani et al. | Designing an Intelligent Pattern of Digital Consumer Behavior Based on Big Data | |
CN117194764A (en) | Goods display method, equipment and medium based on multi-platform fusion mall | |
Brackmann et al. | Identifying Application Areas for Machine Learning in the Retail Sector: A Literature Review and Interview Study | |
Apatova et al. | Virtual telecommunication enterprises and their risk assessment | |
Xie et al. | Predicting sales and cross-border e-commerce supply chain management using artificial neural networks and the Capuchin search algorithm | |
Tsao et al. | Effects of Lot‐Sizing Integration and Learning Effect on Managing Imperfect Items in a Manufacturer‐Retailer Chain | |
Orekhov | A New Approach to Search Engine Optimization Based on the Synthesis of a Virtual Promotion Map | |
Majchrzak-Lepczyk et al. | Value for the Customer in the Logistics Service of E-commerce | |
Trappey et al. | Omni-Channel Sales and Smart Logistic Service Framework–As-Is and To-Be Paradigms |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200407 |
|
RJ01 | Rejection of invention patent application after publication |