CN112950269A - Incentive e-commerce order service management system - Google Patents
Incentive e-commerce order service management system Download PDFInfo
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- CN112950269A CN112950269A CN202110231517.1A CN202110231517A CN112950269A CN 112950269 A CN112950269 A CN 112950269A CN 202110231517 A CN202110231517 A CN 202110231517A CN 112950269 A CN112950269 A CN 112950269A
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention discloses an incentive e-commerce order service management system, which belongs to the technical field of e-commerce management and comprises an e-commerce transaction platform, an order acquisition module, an order preprocessing module, a paid order processing module, an order generation module, an order information storage module, a related product recommendation module, a product information storage module, an order management module, a dealer platform, a registration login module and an unpaid order processing module; the related product recommendation module comprises an information extraction unit, a relevance analysis unit, a product information pushing unit and a video introduction unit; the order management module comprises an order dispatching and issuing unit, a logistics information feedback unit and an exchange communication unit; the invention utilizes Apriori recommendation algorithm to calculate the association degree of paid order products and additional products, and extracts the additional products with high association degree to recommend and sell, thereby being beneficial to stimulating the purchasing behavior of users and further being beneficial to improving the order quantity of the e-commerce.
Description
Technical Field
The invention relates to the technical field of e-commerce management, in particular to a system for exciting e-commerce order service management.
Background
Through retrieval, the Chinese patent number CN108108927A discloses an e-commerce platform service management system, the structure of the invention is simple, the interactivity of three parties of a supplier, a logistics provider and a customer is enhanced, the transaction efficiency of the e-commerce is improved, but the increase of the order quantity of the e-commerce cannot be stimulated; with the arrival of the information era and the appearance of the internet, electronic commerce established on the basis of informatization is gradually started, the electronic commerce utilizes the internet as a tool, so that buyers and sellers can carry out various commercial and trade activities without conspiracy, the electronic commerce is used as a novel transaction mode, so that production enterprises, circulation enterprises and consumers are not limited by regions any more, and relatively complicated business activities in the traditional trade can be completed in a very simple and direct mode; however, for some small and micro electronic commerce, the product promotion cost is low, the product exposure is limited easily, the order quantity of the product is insufficient, and the problem of how to save the promotion cost and increase the order quantity as much as possible becomes a key solution for the small and micro electronic commerce; therefore, it becomes important to invent an incentive e-commerce order service management system.
Most of the existing order service management systems are constructed around improving transaction efficiency, and are mostly applied to large-scale e-commerce users and e-commerce platforms, for small and micro individual e-commerce businesses, the application cost is high, and the increase of the order quantity of the e-commerce cannot be stimulated; to this end, we propose an incentive e-commerce order service management system.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an incentive e-commerce order service management system.
In order to achieve the purpose, the invention adopts the following technical scheme:
an incentive e-commerce order service management system comprises an e-commerce transaction platform, an order acquisition module, an order preprocessing module, a paid order processing module, an order generation module, an order information storage module, a related product recommendation module, a product information storage module, an order management module, a dealer platform, a registration and login module and an unpaid order processing module;
the related product recommendation module comprises an information extraction unit, a relevance analysis unit, a product information pushing unit and a video introduction unit; the order management module comprises an order dispatching and issuing unit, a logistics information feedback unit and an exchange communication unit; the unpaid order processing module comprises an order reminding unit.
Further, the E-commerce trading platform is used for enabling a user to select commodities to place orders to form order information; the order acquisition module is used for acquiring order information of the e-commerce trading platform; the order preprocessing module is used for classifying according to the order information to obtain paid order information and unpaid order information.
Further, the paid order processing module is used for checking order related information with the client to obtain a checking result; the order related information mainly comprises a receiving address, a customer name and a mobile phone number; the order generation module is used for generating complete delivery order information according to the verification result; the order information storage module is used for storing complete delivery order information; the product information storage module is used for recording and storing additional product information when a user purchases a certain product, and forming an object database.
Further, the information extraction module is used for collecting complete delivery order information and additional product information in the transaction database; the correlation degree analysis unit is used for carrying out correlation degree calculation analysis according to the complete delivery order information and the additional product information in the object database to obtain a correlation degree result of the order product and the additional product; the product information pushing unit is used for pushing corresponding products according to the association degree result of the order products and the additional products; the video introduction module is used for providing video marketing introduction for pushing corresponding products.
Further, the specific process of the calculation and analysis of the correlation degree is as follows:
s1: acquiring complete delivery order information and additional product information in an object database;
s2: calculating the association degree of the additional product information in the object database and the product in the complete delivery order information by using an association degree algorithm to obtain additional products with different association degrees;
s3: classifying the additional products with different relevance degrees according to specific relevance values to obtain additional products with three relevance degrees, namely high relevance degrees, medium relevance degrees and low relevance degrees;
the specific pushing process of the product information pushing unit is as follows:
SS 1: extracting additional products with high relevance;
SS 2: when the order information storage module generates complete delivery order information, pushing an information page of an additional product with high relevance;
the association algorithm is specifically Apriori recommendation algorithm.
Further, the order dispatching and issuing unit is used for issuing a delivery instruction to the dealer platform according to the complete delivery order information; the dealer platform is used for receiving a delivery instruction, delivering the delivery, recording logistics information of the order and feeding the logistics information back to the order management module; the logistics information feedback unit is used for receiving logistics information of the order and performing visual display; the communication unit is used for the user to perform order returning operation and providing after-sale service for the user; the registration login module is used for registering a system account by a user in a mode of uploading personal information.
Furthermore, the order reminding unit is used for carrying out order taking operation on the orders stored in the shopping cart by the user; the promotion line mainly comprises product collocation discount reminding, coupon getting reminding and discount time reminding.
Compared with the prior art, the invention has the beneficial effects that:
1. the system is provided with a related product recommending module and an unpaid order processing module, wherein the related product recommending module calculates the association degree of paid order products and additional products by using an Apriori recommending algorithm, extracts the additional products with high association degree for recommending and selling, is favorable for stimulating the purchasing behavior of users and further is favorable for improving the e-commerce order quantity; the unpaid order processing module adopts prompting actions such as product collocation discount prompting, coupon getting prompting, discount time prompting and the like, so that the increase of the e-commerce order quantity is further facilitated;
2. the invention is provided with order management, and a commodity circulation information feedback unit and an exchange communication unit are arranged in the order management; the user can timely know the real-time transportation information of the order through the logistics information feedback unit, and the user can also perform order returning operation and after-sale service of the product through the communication unit; therefore, the whole order service efficiency is improved, and the user experience is improved; meanwhile, the invention has simple structure, is convenient to maintain and is beneficial to reducing the cost.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a schematic diagram of an overall structure of an incentive e-commerce order service management system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, an incentive e-commerce order service management system includes an e-commerce transaction platform, an order acquisition module, an order preprocessing module, a paid order processing module, an order generation module, an order information storage module, a related product recommendation module, a product information storage module, an order management module, a dealer platform, a registration and login module, and an unpaid order processing module;
the related product recommendation module comprises an information extraction unit, a relevance analysis unit, a product information pushing unit and a video introduction unit; the order management module comprises an order dispatching and issuing unit, a logistics information feedback unit and an exchange communication unit; the outstanding order processing module comprises an order reminding unit.
The E-commerce trading platform is used for enabling a user to select commodities to place orders and form order information; the order acquisition module is used for acquiring order information of the e-commerce trading platform; the order preprocessing module is used for classifying according to the order information to obtain paid order information and unpaid order information.
The paid order processing module is used for checking order related information with the client to obtain a checking result; the order related information mainly comprises a receiving address, a customer name and a mobile phone number; the order generation module is used for generating complete delivery order information according to the verification result; the order information storage module is used for storing complete delivery order information; the product information storage module is used for recording and storing additional product information when a user purchases a certain product and forming an object database.
The information extraction module is used for acquiring complete delivery order information and additional product information in the object database; the association degree analysis unit is used for carrying out association degree calculation analysis according to the complete delivery order information and the additional product information in the object database to obtain an association degree result of the order product and the additional product; the product information pushing unit is used for pushing corresponding products according to the association degree result of the order products and the additional products; the video introduction module is used for providing video marketing introduction for pushing corresponding products.
The specific process of the relevance calculation analysis is as follows:
s1: acquiring complete delivery order information and additional product information in an object database;
s2: calculating the association degree of the additional product information in the object database and the product in the complete delivery order information by using an association degree algorithm to obtain additional products with different association degrees;
s3: classifying the additional products with different relevance degrees according to specific relevance values to obtain additional products with three relevance degrees, namely high relevance degrees, medium relevance degrees and low relevance degrees;
the specific pushing process of the product information pushing unit is as follows:
SS 1: extracting additional products with high relevance;
SS 2: when the order information storage module generates complete delivery order information, pushing an information page of an additional product with high relevance;
the association algorithm is specifically Apriori recommendation algorithm.
The order delivery issuing unit is used for issuing a delivery instruction to the dealer platform according to the complete delivery order information; the dealer platform is used for receiving the delivery instruction and delivering the delivery, recording logistics information of the order and feeding the logistics information back to the order management module; the logistics information feedback unit is used for receiving the logistics information of the order and visually displaying the logistics information; the communication unit is used for the user to perform order returning operation and providing after-sale service for the user; the registration login module is used for registering a system account by a user in a mode of uploading personal information.
The order reminding unit is used for carrying out order taking operation on the orders stored in the shopping cart by the user; the promotion line mainly comprises product collocation preferential reminding, coupon getting reminding and preferential time reminding.
The working principle and the using process of the invention are as follows: when the incentive e-commerce order service management system is used, a user can select commodities to place an order on an e-commerce trading platform to form order information, then an order acquisition module can acquire the order information of the e-commerce trading platform, then the order preprocessing module classifies according to the order information to obtain paid order information and unpaid order information, then the paid order processing module checks the receiving address, the customer name and the mobile phone number with the customer to obtain a check result, then the order generating module generates complete delivery order information according to the checking result, then the information extracting module collects the complete delivery order information and additional product information in the object database, then the correlation degree analysis unit carries out correlation degree calculation analysis according to the complete delivery order information and the additional product information in the object database to obtain a correlation degree result of the order product and the additional product; the product information pushing unit can push corresponding products according to the association degree result of the order products and the additional products, so that the user purchase desire can be stimulated, and meanwhile, the video marketing introduction of the corresponding products is performed through the video introduction module, so that the user purchase desire of the additional products can be enhanced in one step, and the increase of the order quantity of the e-commerce can be improved; then the order dispatching and issuing unit issues a delivery instruction to the dealer platform according to the complete delivery order information, the dealer platform receives the delivery instruction and delivers the delivery, meanwhile, the logistics information of the order is recorded and fed back to the order management module, then the logistics information feedback unit receives the logistics information of the order and visually displays the logistics information, and at the moment, a user can register a system account through the registration and login module and simultaneously log in the system to check the logistics information of the order; the user can carry out order returning operation and product after-sale service through the communication unit; for unpaid order information, the order reminding unit can carry out product collocation preference reminding, coupon picking reminding and preference time reminding on the unpaid order information; further facilitating the transaction of unpaid orders, thereby facilitating the increase of the order quantity of the e-commerce; the method utilizes an Apriori recommendation algorithm to calculate the association degree of paid order products and additional products, and extracts the additional products with high association degree to recommend and sell, thereby being beneficial to stimulating the purchasing behavior of users and further being beneficial to improving the order quantity of the e-commerce; meanwhile, the method and the system adopt prompting actions such as product collocation discount reminding, coupon getting reminding, discount time reminding and the like for the unpaid orders, and further are favorable for further promoting the increase of the order quantity of the e-commerce.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. An incentive e-commerce order service management system is characterized by comprising an e-commerce transaction platform, an order acquisition module, an order preprocessing module, a paid order processing module, an order generation module, an order information storage module, a related product recommendation module, a product information storage module, an order management module, a dealer platform, a registration and login module and an unpaid order processing module;
the related product recommendation module comprises an information extraction unit, a relevance analysis unit, a product information pushing unit and a video introduction unit; the order management module comprises an order dispatching and issuing unit, a logistics information feedback unit and an exchange communication unit; the unpaid order processing module comprises an order reminding unit.
2. The incentive e-commerce order service management system of claim 1, wherein the e-commerce trading platform is used for a user to place an order for commodity selection to form order information; the order acquisition module is used for acquiring order information of the e-commerce trading platform; the order preprocessing module is used for classifying according to the order information to obtain paid order information and unpaid order information.
3. The incentive e-commerce order service management system of claim 1, wherein the paid order processing module is configured to perform an order related information verification with the customer to obtain a verification result; the order related information mainly comprises a receiving address, a customer name and a mobile phone number; the order generation module is used for generating complete delivery order information according to the verification result; the order information storage module is used for storing complete delivery order information; the product information storage module is used for recording and storing additional product information when a user purchases a certain product, and forming an object database.
4. The incentive e-commerce order service management system of claim 1, wherein the information extraction module is configured to collect complete delivery order information and additional product information in the transaction database; the correlation degree analysis unit is used for carrying out correlation degree calculation analysis according to the complete delivery order information and the additional product information in the object database to obtain a correlation degree result of the order product and the additional product; the product information pushing unit is used for pushing corresponding products according to the association degree result of the order products and the additional products; the video introduction module is used for providing video marketing introduction for pushing corresponding products.
5. The incentive e-commerce order service management system of claim 4, wherein the specific process of calculating and analyzing the degree of association is as follows:
s1: acquiring complete delivery order information and additional product information in an object database;
s2: calculating the association degree of the additional product information in the object database and the product in the complete delivery order information by using an association degree algorithm to obtain additional products with different association degrees;
s3: classifying the additional products with different relevance degrees according to specific relevance values to obtain additional products with three relevance degrees, namely high relevance degrees, medium relevance degrees and low relevance degrees;
the specific pushing process of the product information pushing unit is as follows:
SS 1: extracting additional products with high relevance;
SS 2: when the order information storage module generates complete delivery order information, pushing an information page of an additional product with high relevance;
the association algorithm is specifically Apriori recommendation algorithm.
6. The incentive e-commerce order service management system of claim 1, wherein the order delivery placement unit is configured to place delivery instructions to the dealer platform based on the complete delivery order information; the dealer platform is used for receiving a delivery instruction, delivering the delivery, recording logistics information of the order and feeding the logistics information back to the order management module; the logistics information feedback unit is used for receiving logistics information of the order and performing visual display; the communication unit is used for the user to perform order returning operation and providing after-sale service for the user; the registration login module is used for registering a system account by a user in a mode of uploading personal information.
7. The incentive e-commerce order service management system of claim 1, wherein the order reminding unit is adapted to prompt a customer to place an order in a shopping cart; the promotion line mainly comprises product collocation discount reminding, coupon getting reminding and discount time reminding.
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Cited By (1)
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| CN114298768A (en) * | 2021-12-31 | 2022-04-08 | 北京金堤科技有限公司 | Information pushing method and device, storage system and electronic equipment |
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| CN110555712A (en) * | 2018-05-31 | 2019-12-10 | 北京京东尚科信息技术有限公司 | Commodity association degree determining method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114298768A (en) * | 2021-12-31 | 2022-04-08 | 北京金堤科技有限公司 | Information pushing method and device, storage system and electronic equipment |
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