CN116385049A - Intelligent software processing system for adjusting electronic commerce purchase price of industrial product - Google Patents
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Abstract
The invention relates to the technical field of purchasing software information processing, and provides an intelligent software processing system for adjusting electronic commerce purchasing price of industrial products, which comprises an electronic commerce order system and further comprises: the price adjustment expert model is used for constructing a price model by taking data such as the optimal solution storage unit, a related price template and the like as a basis; according to the invention, the intelligent algorithm is adopted to conduct global search to determine the types and main proportion of the large-volume commodities used in various commodities in the current contract, and the recommended price of commodity change is formed, so that the price matching and consistency of the industrial products are realized rapidly under the condition that the price of the large-volume commodities fluctuates, the operation risk of enterprises of both supply and demand parties is reduced, the enterprise operation cost is reduced, and the stability of enterprise operation is improved.
Description
Technical Field
The invention relates to the technical field of purchasing software information processing, in particular to an intelligent software processing system for electronic commerce purchasing price adjustment of industrial products.
Background
At present, the price of the commodity of the order in the electronic commerce system is well set according to the supplier, the bargaining process often exists before the order is formed, and once the order is formed, the price is locked, so that the benefits of both the suppliers and the consumers are ensured.
In the electronic commerce process of the industrial product, the price of the industrial product often changes along with the price of a large amount of commodity, the industrial product has long supply period and large purchasing quantity, and the commodity price fluctuation can negatively influence the product transaction of both suppliers and consumers, so that the possibility that both suppliers and consumers give up the transaction is caused.
The technical scheme of the platform and the method (bulletin number: CN 115170255A) for entrusting purchase competitive price trade commodity comprises a cloud service end, a background control end and a purchase using end, and can help a purchasing party who needs to purchase based on an off-line transaction center to participate in the auction at the first time based on the pre-selling price and the authorized range of a floating price interval, complete on-line processing of the price, and assist in distribution and information updating of logistics, wherein the whole process is operated on the platform line for a buyer, the buyer does not need to go to the scene on line, is efficient and convenient, saves cost, and ensures the instantaneity and the real-time monitoring property of the whole purchase process; the purchasing transaction platform realizes automatic trading in the range of price fluctuation, solves the problem of price fluctuation of the existing bulk commodity, but the transaction mode can only conduct transaction in the range of price fluctuation, once the price fluctuation exceeds the range value, the problem that the transaction cannot be conducted occurs, a buyer is required to conduct manual operation, the requirement on personnel is high, and once the business is unfamiliar, the situation of transaction errors is extremely easy to occur.
In addition, the Chinese patent invention also discloses a factory automatic centralized purchasing method and a system (bulletin number CN 113592596A) based on the industrial Internet, and the technical scheme comprises the following steps of S1: determining the purchased products and the quantity to form a purchase plan, and S2: the system automatically calculates according to the price comparison table, S3: the buyer inquires and checks the order in a self-operating purchase order interface of the computer terminal, and confirms the order and prepayment to the system; s4: the system automatically gathers co-buyers of the same product, S5: the suppliers ship according to the orders; the automatic purchasing method improves purchasing efficiency and reduces the requirement on a purchasing person through a centralized purchasing mode, but the price of a large amount of commodities fluctuates in real time, the centralized purchasing method cannot accurately grasp the price fluctuation condition, and the problem that transaction price and real-time price deviate easily occurs due to comparison of the throughput price.
Therefore, the invention provides a simulation system for rationally adjusting the price change currently being executed by price fluctuation of different varieties of a large number of commodities, namely, a thinking, a method, experience and strategy, so that the performance of enterprises of both supply and demand parties is improved, and the optimization of an integral supply chain system is improved.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent software processing system for adjusting the electronic commerce purchase price of industrial products, which solves the problems that the prior art cannot automatically optimize the transaction price according to the price change of bulk products and improves the transaction experience by establishing a purchase processing model system.
The specific technical scheme of the invention is as follows:
an intelligent software processing system for electronic commerce purchase price adjustment of industrial products comprises an electronic commerce order system, and further comprises:
the man-machine interface is used for inputting parameter configuration, outputting real-time orders or historical reports and confirming the price of the commodity orders by both sides;
the communication port is used for receiving different product data quotations of the bulk commodity and carrying out data interaction integration with the electronic commerce order system;
the server program is used for acquiring the settings of various configuration parameters of the human-computer interface and acquiring bulk commodity quotation and electronic commerce order system data transmitted by the communication port;
the historical database is used for storing data such as historical commodity quotations, historical electronic commerce order commodity quotations, commodity type proportions contained in different commodities or classes and the like;
the optimal solution storage unit is used for calculating the commodity price of the related commodity possibly in exchange according to the commodity price data stored in the historical database;
the price adjustment expert model is used for constructing a price model by taking the data such as the optimal solution storage unit, the related price template and the like as a basis;
and the order price changing module acquires the related determined price configuration parameters through the price adjustment expert model and confirms the modified price.
As a technical scheme of the invention, related configuration or query parameters are manually selected or set through the human-computer interface, and the configuration or query parameters are set for data such as commodity types, proportions and the like of different volumes.
As a technical scheme of the invention, the communication port pushes data to a server-side program after receiving the data of bulk commodity quotations or electronic commerce orders, or pushes the data to an electronic commerce order system through parameters processed by the system.
As a technical scheme of the invention, the server program provides the acquired quotation conditions, report output and other data for the human-computer interface for processing.
According to the technical scheme, the server program acquires data in the historical database and judges whether the data has the historical data or not, and if so, the data is sent to an electronic commerce order system;
if the recommended price is not available, the data is sent to the price adjustment expert model, and then the price adjustment expert model generates the recommended price and pushes the recommended price to the corresponding order price changing module.
As a technical scheme of the invention, the price adjustment expert model comprises a knowledge base, an inference engine, a database and a process input-output interface.
As a technical scheme of the invention, the order changing module transmits the determined price to the electronic commerce order system through the communication port.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention realizes the integral optimization of the industrial commodity in the electronic commerce platform along with the change of the price of the bulk commodity through the intelligent software processing system for adjusting the electronic commerce purchase price of the industrial commodity, and rapidly provides a group of recommended prices which can be accepted by both parties for both the supply and the demand parties, thereby realizing rapid price matching and consistency under the condition of the fluctuation of the price of the bulk commodity of the industrial commodity, reducing the management risk of enterprises of both the supply and the demand parties, reducing the business cost and improving the stability of enterprise management.
Drawings
FIG. 1 is a block diagram of the components of a software processing system of the present invention;
FIG. 2 is a system workflow diagram of the present invention;
FIG. 3 is a flow chart of the class setup of the present invention;
FIG. 4 is a flow chart of a commodity order price adjustment function triggered by the present invention.
In the figure:
1. a human-machine interface; 2. a communication port; 3. a server program; 4. a history database; 5. an optimal solution storage unit; 6. a price adjustment expert model; 7. order change module.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings and examples. The following examples are illustrative of the invention but are not intended to limit the scope of the invention.
The invention provides an intelligent software processing system for adjusting electronic commerce purchase price of industrial products, which comprises an electronic commerce order system and further comprises:
the man-machine interface 1 is used for inputting parameter configuration, outputting real-time orders or historical reports and confirming the price of the commodity orders by both sides;
the communication port 2 is used for receiving different product data quotations of the bulk commodity and carrying out data interaction integration with the electronic commerce order system;
the server program 3 is used for acquiring the settings of various configuration parameters of the human-computer interface 1 and acquiring the bulk commodity quotation and electronic commerce order system data transmitted by the communication port 2;
the historical database 4 is used for storing data such as historical commodity quotations, historical electronic commerce order commodity quotations, commodity type proportions contained in different commodities or classes and the like;
an optimal solution storing unit 5, wherein the optimal solution storing unit 5 estimates the commodity price of the related commodity which is likely to be delivered according to the commodity price data of the bulk commodity stored in the history database 4;
a price adjustment expert model 6, wherein the price adjustment expert model 6 constructs a price model by taking the data of the optimal solution storage unit 5, the related price templates and the like as a basis;
an order changing module 7, wherein the order changing module 7 obtains the related determined price configuration parameters through the price adjustment expert model 6, and confirms the modified price.
Example 1
As shown in fig. 1-3, by establishing a software processing system for automatically adjusting purchase price of a large amount of commodities, the transaction time is further reduced, and the user transaction experience is improved, and the specific system establishment flow is as follows:
firstly, through commodity quotation and the information of the order form of the e-commerce order system, then data are transmitted to a server program 3 through a communication port 2, classification is carried out according to the commodity class of the commodity, then the commodity quotation of the commodity class corresponding to the commodity class and the commodity price of futures transaction are input into a historical database 4 to serve as a data base of the system, so that when the system carries out price recommendation, the system can quickly find out past data without uploading the past data from a network, and then analysis is carried out, and the transaction time is easy to cause overlong.
In addition, personnel set parameters of the system through the intelligent human-computer interface 1, and data such as the class, proportion and the like of bulk commodities, for example, bulk commodities of coal mines, are set, the consumption of the bulk commodities is large in summer and winter, price fluctuation is obvious, the proportion of the class of the coal mines can be set to be increased at the moment, so that more prices are matched, and the matching accuracy of the prices can be improved when the prices are recommended, so that the quick completion of transactions is promoted.
After the initialization setting of the software processing system is completed, as shown in fig. 3, the suppliers firstly set commodity operation classes according to the operators, then set related commodity classes through the intelligent human-computer interface 1, and correlate and release the related commodity classes with corresponding commodity, so that each commodity corresponds to one commodity when the buyer browses the commodity, and the subsequent service end program 3 can conveniently and quickly find the historical price of the corresponding commodity;
meanwhile, the supplier or the operator can set the lowest price of the bulk commodity through the human-computer interface 1, so that the loss caused by the excessively low price of automatic recommendation is prevented.
As shown in fig. 2, after a buyer browses goods and clicks an e-commerce order system to place an order, the e-commerce order system sends related order information to a server program 3 through a communication port 2, and the server program 3 acquires real-time commodity price data of a futures trade market through the communication port 2; and then the server program 3 compares the historical price data in the historical database 4 with the current real-time price data, when the price comparison is completed, the server program 3 recommends the most suitable price by using an intelligent algorithm, and then outputs related quotation conditions and reports, so that the buyer and the seller can confirm through the man-machine interface 1, after the confirmation of the two parties is completed, the server program 3 modifies the commodity price through the order changing module 7, and then feeds back the commodity price into an electronic commerce ordering system through the communication port 2, and the buyer only needs to confirm the order, thereby saving the flow of 'bargaining price', and simultaneously, the two parties can be satisfied by rapidly calculating the most suitable price, and the transaction time is reduced. Meanwhile, the quotation data of the deal is sent to the historical database 4 for storage, and meanwhile, the data is sent to the price adjustment expert model 6, the internal price template is updated, and the data of the price adjustment expert model 6 is guaranteed to be always in the latest state.
In addition, when the service end program 3 queries related historical quotation data in the historical database 4 according to real-time commodity quotation and order information of the electronic commerce order system, the service end program 3 sends the related commodity class to the price adjustment expert model 6, the price adjustment expert model 6 simultaneously obtains the data of the past commodity of the historical database 4 according to the sent commodity data, and utilizes the optimal solution storage unit 5, the price of the related commodity can be obtained through the historical commodity quotation stored in the historical database 4, the historical electronic commerce order commodity quotation, the commodity type proportion contained in different commodities or classes and the like, then the price of the possible commodity can be sent to the price adjustment expert model 6, then the price adjustment expert model 6 utilizes an intelligent algorithm, the data in the optimal solution storage unit 5 is combined to infer the most suitable price, the data is sent to a man-machine interface through the service end program 3, the price of both parties is confirmed, after the price confirmation is carried out, the price of the two parties are confirmed, the price of the commodity can be confirmed through the historical commodity quotation, the price of the commodity is adjusted, the commodity type proportion contained in different commodities or the commodity class is changed, and the price can be sent to the electronic commerce order 7 through the order price adjustment expert model, and the price confirmation is carried out.
Example two
As shown in fig. 4, in the flow chart of the commodity order price adjustment function triggered by the service, in the second embodiment, based on the first embodiment, the buyer purchases a proper commodity in the electronic commerce order system, and then the electronic commerce order system judges whether the commodity is a bulk commodity set in the man-machine interface 1, wherein the commodity data set through the man-machine interface 1 is sent to the electronic commerce order system for storage through the communication port 2; if not, directly carrying out transaction through a traditional electronic commerce purchasing model; if the price is confirmed, the service end program 3 in the operator processing system generates the purchase order and sales order to be perfected and sends the order to the price adjustment expert model 6, reasonable price is calculated, then the purchase order to be confirmed is generated, the purchase order and the supplier are sent to the purchase order and the supplier through short messages, the purchase order and the supplier are notified through short messages, related orders are checked on respective equipment, if the price is approved by both sides, the price is confirmed on respective human-computer interface 1 (which can be a computer or a smart phone terminal), then transaction is completed through a traditional electronic commerce purchase model, the trouble that the purchase order and the supplier need to be thoroughly and circularly discussed about the price is omitted, time required by the transaction is shortened, meanwhile, recommended price is not required to be manually operated by personnel, the situation that personnel operate by mistake is prevented, the whole price recommendation is completely recommended by the price adjustment expert model 6, the price fluctuation of a large commodity is guaranteed, the system can be automatically optimized according to the fluctuating price, and the existing price recommendation situation of a report is easily avoided, and the price deviation is easy to occur.
If the buyer or the supplier is not satisfied with the recommended price, the price can be refused to be confirmed, and the unsatisfactory price is fed back in a human-computer interface, so that the negated price information is fed back to the price adjustment expert model 6, and then the buyer and the supplier are reconfirmed by readjusting the price; the recommendable logic is: if the price of the buyer or the supplier is too low, the recommended price is higher than the original price, otherwise, if the buyer considers that the price is too high, the recommended price is lower than the original price, but the new recommended price is not lower than the lowest price set by the operator, thereby ensuring the rights and interests of the operator and the supplier.
Example III
1-2, in the third embodiment, based on the first embodiment and the first embodiment, the price adjustment expert model 6 adopts a global search mode to search data in the history database 4, so as to determine the types and main proportions of the bulk commodities used in various commodities in the current contract, form the recommended price of commodity change, reduce the game time of both parties, and quickly adjust the commodity price in the electronic commerce platform, thereby achieving the improvement of the performance of enterprises of both parties, and improving the optimization of the whole supply chain system; the global searching mode is realized by matlab, and the searching logic is as follows: firstly, selecting an initial point (any price data under the same category), then drawing a function outline (selecting a price data range which is close to the same category), initializing parameters and iteration points, then carrying out iteration search, searching more close price data, and finally selecting the most suitable price for recommendation.
The embodiments of the present invention have been presented for purposes of illustration and description, but are not intended to be exhaustive or limited to the invention in the form disclosed, and although the invention has been described in detail with reference to the embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof.
Claims (7)
1. An intelligent software processing system for adjusting electronic commerce purchase price of industrial products, which comprises an electronic commerce order system, and is characterized by further comprising:
the human-computer interface (1), the said human-computer interface (1) is used for inputting of the parameter configuration and output of the real-time order or historical report form, and commodity order price supply and demand both sides confirm;
the communication port (2) is used for receiving different product data quotations of a large number of commodities and carrying out data interaction integration with the electronic commerce order system;
the server program (3), the said server program (3) is used for obtaining the settlement of all kinds of configuration parameters of the said man-machine interface (1), and obtain the bulk commodity quotation and electronic commerce order systematic data that the communication port (2) transmits;
the historical database (4) is used for storing data such as historical commodity quotations, historical electronic commerce order commodity quotations, commodity type proportions contained in different commodities or classes and the like;
an optimal solution storage unit (5), wherein the optimal solution storage unit (5) estimates commodity prices of related commodities which are likely to be delivered according to the commodity price data of the bulk commodities stored in the historical database (4);
the price adjustment expert model (6), the price adjustment expert model (6) is used for constructing a price model by taking data such as the optimal solution storage unit (5) and related price templates as a basis;
and the order price changing module (7) is used for acquiring the related determined price configuration parameters through the price adjustment expert model (6) by the order price changing module (7) and confirming the modified price.
2. The intelligent software processing system for adjusting electronic commerce purchase price of industrial products according to claim 1, wherein: and selecting or setting related configuration or query parameters through the human-computer interface (1) manually, and setting the configuration or query parameters according to data such as commodity types, proportions and the like of different blocks.
3. The intelligent software processing system for adjusting electronic commerce purchase price of industrial products according to claim 1, wherein: and the communication port (2) pushes data to a server-side program after receiving the data of bulk commodity quotations or E-commerce orders, or pushes the data to an E-commerce order system through parameters processed by the system.
4. The intelligent software processing system for adjusting electronic commerce purchase price of industrial products according to claim 1, wherein: the server program (3) provides the acquired quotation conditions, report output and other data for the human-computer interface (1) for processing.
5. The intelligent software processing system for adjusting electronic commerce purchase price of industrial products according to claim 4, wherein: the server program (3) acquires the data in the history database (4) and judges whether the data has history data or not, if so, the data is sent to the e-commerce ordering system;
if the recommended price does not exist, the data is sent to the price adjustment expert model (6), and then the price adjustment expert model (6) generates the recommended price and pushes the recommended price to the corresponding order price changing module (7).
6. The intelligent software processing system for adjusting electronic commerce purchase price of industrial products according to claim 1, wherein: the price adjustment expert model (6) comprises a knowledge base, an inference engine, a database and a process input-output interface.
7. The intelligent software processing system for adjusting electronic commerce purchase price of industrial products according to claim 1, wherein: the order changing module (7) transmits the determined price to the electronic commerce order system through the communication port (2).
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| US20020116348A1 (en) * | 2000-05-19 | 2002-08-22 | Phillips Robert L. | Dynamic pricing system |
| CN105825411A (en) * | 2016-03-10 | 2016-08-03 | 成都约美网络科技有限公司 | Rapid bidding system of mobile internet |
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