CN112925818A - Background data processing method and system fusing social platform and e-commerce platform - Google Patents
Background data processing method and system fusing social platform and e-commerce platform Download PDFInfo
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Abstract
The invention discloses a background data processing method and a background data processing system integrating a social platform and an e-commerce platform, wherein the system is constructed by adopting a B/S architecture and is provided with a communication interface for data interaction with the social platform and the e-commerce platform, and the system comprises a login module, a system management module, a unit organization module, an order management module, a customer setting module, a core analysis module and a forum management module. The B/S architecture is adopted to construct the background data processing system, and the data interaction is carried out with each platform through the communication interface, so that the data interaction between the management system and each platform can be realized, the unified management is realized, and each platform does not need to carry out data management independently, so that the data management efficiency is greatly improved; the invention can accurately analyze the time, cost and service level required by the logistics service of different logistics enterprises, and provides the analysis result for the consumer to refer, thereby greatly improving the diversified choices of the consumer and avoiding unnecessary waste.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a background data processing method and system fusing a social platform and an e-commerce platform.
Background
Currently, with the development of computer technology, a variety of large data platforms are developed, and two of the platforms which are more commonly used are a social platform and an e-commerce platform. The existing social platform and E-commerce platform are both independent platforms and have independent background management systems.
Disclosure of Invention
The invention aims to provide a background data processing method and a background data processing system fusing a social platform and an e-commerce platform, so as to overcome the defects in the prior art.
In order to achieve the technical purpose, the technical scheme of the invention is realized as follows:
a background data processing system fusing a social platform and an e-commerce platform is constructed by adopting a B/S architecture and is provided with a communication interface for data interaction with the social platform and the e-commerce platform, and the background data processing system further comprises the following modules:
the login module is used for verifying the registration information of the user and logging in the corresponding user account when the verification is passed;
the system management module is used for setting a module which is opened to the outside by the system and viewing system logs, wherein the system logs comprise login logs, access logs and operation logs of different users as well as abnormal logs and authorization logs of the system;
the unit organization module is used for setting administrator user information and distributing authority to the administrator users;
the order management module is used for checking orders in background data of the E-commerce platform, managing the orders and summarizing order data;
and the customer setting module is used for carrying out customer data editing, customer service information management and management on the customer and the corresponding commercial tenant on the social platform.
The system further comprises a core analysis module which is used for carrying out data analysis processing on enterprise products, e-commerce orders and logistics orders, labeling product data and screening out an optimal shopping scheme and more options for a user.
Further, the analysis data of the core analysis module for the data mainly includes: product processing, user analysis and operation analysis,
the product processing comprises labeling product data, analyzing potential user groups and selling and managing products;
the user analysis is mainly used for tracking the behavior habits of the user after browsing the trace and analyzing the behavior habits of the user;
the operation analysis mainly combines the user data and the product data to count the sales condition of the product within a period of time, and completes the investigation of enterprise product sales.
Further, the method for analyzing the tagged product data in the core analysis module comprises the following steps: price positioning, trial population, region range, user type and logistics information.
Further, the system also comprises a forum management module, which is used for the users and the merchants to publish ideas and sharing suggestions in interested modules.
A data processing method applying the system adopts a unified communication interface to perform data interaction with each platform, acquires and processes data of each platform, and returns the processed data to the corresponding platform through the communication interface.
Further, the communication interface adopts a webservice interface.
The invention has the beneficial effects that: the invention adopts the B/S architecture to construct the background data processing system, and carries out data interaction with each platform through the communication interface, thereby realizing the data interaction between the management system and each platform, realizing unified management, and not needing to carry out data management on each platform independently, greatly improving the data management efficiency, and having simple operation, high operation efficiency and lower cost. The time, cost and service level required by the logistics service of different logistics enterprises can be accurately analyzed, and the analysis result is provided for the reference of the consumer, so that the diversified choices of the consumer are greatly improved, and unnecessary waste is avoided; the system tracks the consumption habits of each user, analyzes the habit likes and characters of the users from huge browsing tracks and historical consumption records, and then accurately and effectively analyzes the product consumption scheme and the recommendation scheme for the users. The system can provide accurate commercial analysis for product enterprises, and analyze, process and integrate huge transaction data to be displayed to enterprise users in a visual report form. The product enterprises are provided with the aspects of the distribution range of consumers, the market share of products, the service level of service logistics in various places, the logistics mode share selected by users, the proportion of consumer groups of users, the feedback of opinions of users and the like in the forms of line graphs, bar graphs, pie graphs and radar charts for operation reference. The system is applicable to all platforms using the system, and when a user uses other platforms comprising the system, the analysis system can still call historical data of other previous platforms to make accurate judgment on the user's requirements.
Drawings
Fig. 1 is a block diagram of the system of the present invention.
FIG. 2 is a flow chart of product data analysis according to the present invention;
FIG. 3 is a flow chart of order processing analysis according to the present invention;
FIG. 4 is a block diagram of the product tagging analysis structure of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention is clearly and completely described below with reference to the drawings in the embodiments of the present invention.
As shown in fig. 1, according to the background data processing system fusing the social platform and the e-commerce platform according to the embodiment of the present invention, the system is constructed by using a B/S architecture, and is provided with a communication interface for performing data interaction with the social platform and the e-commerce platform, and the background data processing system further includes the following modules: the login module is used for verifying the registration information of the user and logging in the corresponding user account when the verification is passed; the system management module is used for setting a module which is opened to the outside by the system and viewing system logs, wherein the system logs comprise login logs, access logs and operation logs of different users as well as abnormal logs and authorization logs of the system; the unit organization module is used for setting administrator user information and distributing authority to the administrator users; the order management module is used for checking orders in background data of the E-commerce platform, managing the orders and summarizing order data; and the customer setting module is used for carrying out customer data editing, customer service information management and management on the customer and the corresponding commercial tenant on the social platform.
The invention adopts the B/S architecture to construct the background data processing system, performs data interaction with each platform through the communication interface, can realize the data interaction between the management system and each platform, realizes unified management, can realize the management of each platform data through the management system directly after distinguishing the platforms through the identification codes, does not need to perform data management for each hospital independently, greatly improves the data management efficiency, and has simple operation, high operation efficiency and lower cost.
As shown in fig. 2, a product data analysis flowchart of the present invention includes the following steps:
1) the product module receives and processes new product information, and sends the new product information to the core analysis module for storage and analysis, and the core analysis module calls enterprise related data in the logistics module, such as: carrying out system analysis on preferential activities of each large logistics company, business cooperation data of enterprises and logistics companies, and logistics service level analysis report data (including logistics response speed, employee service quality, distribution mode, service related range and the like) of a given region;
2) the core analysis module analyzes the process: and carrying out data analysis processing on enterprise products, e-commerce orders and logistics orders, and transmitting data to the transaction processing module.
Data analysis is largely divided into three major categories: product processing, user analysis and operation analysis,
the product processing comprises labeling product data, analyzing potential user groups and selling and managing products;
the user analysis is mainly used for tracking the browsing trace of the user and analyzing the behavior habit of the user;
the operation analysis mainly combines the user data and the product data to count the sales condition of the product within a period of time, and completes the investigation of enterprise product sales.
The purpose of the data analysis processing is to screen out an optimal shopping scheme for user shopping according to the past shopping data of the user, the preferential activities provided by current product merchants and platforms, the service analysis of each logistics and the like, for example, in the aspect of logistics: the order of the fragile goods and the valuables recommends the logistics company with the best service for the user; prompting the user to select the company with the highest logistics speed if the order is urgent; the common order recommends the user to use the cheapest logistics mode;
3) the transaction processing module analyzes the data analyzed by the core analysis module, and judges different data processing methods for different data types: the order data is transmitted to the user module and displayed, and the product label data is transmitted to the product module to complete the distribution of the initial product label;
4) the historical data module backs up and sorts the data content analyzed by the core analysis module each time, provides historical processing data for the core analysis module, and enables the core analysis module to prepare for next product analysis;
5) and the labeled product information data is retransmitted to the product module, the product module obtains a set of display labels which are suitable for the business platform, and the product is pushed to a wide user group by selecting a proper popularization means according to the corresponding label product module.
FIG. 3 shows an order processing analysis flow chart of the present invention, which includes the following steps:
1) after a business foreground user carries out order consumption, the product module transmits product information consumed by the user and user related information to the core analysis module;
2) the core analysis module calls historical consumption records of users, logistics information of the locations of the users and enterprise products to obtain processing results of multiple layers, such as an optimal distribution scheme, a fastest distribution scheme and a cheapest distribution scheme, and simultaneously screens out the most favorable price by combining with the product activities of an e-commerce platform.
3) The transaction processing module receives and analyzes the product order information data obtained by the core analysis module, analyzes and analyzes a complete data result, and feeds back the result data to the user module;
4) the historical data module backs up and sorts the order information of the user;
5) the user module obtains the instruction sent by the transaction processing module to provide diversified logistics selection and optimal price selection for the user, completes payment operation and transmits the payment result to the product data module;
6) the product data module informs a product provider of making delivery preparation and informs the logistics module of updating the delivery state of the product;
7) the logistics data module acquires the logistics state of the product in real time through the API until the whole logistics process is completed, and the historical data module records the whole logistics state and prepares logistics layer data for the data analysis module.
The invention also provides a data processing method applying the system, which adopts a uniform communication interface to perform data interaction with each platform, acquires and processes the data of each platform, and returns the processed data to the corresponding platform through the communication interface.
Further as a preferred embodiment, the communication interface is a webservice interface.
As shown in fig. 4, the product labeling analysis structure block diagram of the present invention includes three parts, which are data selection, analysis method and analysis result, respectively, and the data sources of the product labeling analysis mainly include user data, product data, logistics data and historical data; the analysis method comprises the following steps: price positioning, trial population, region range, user type, logistics information and the like; the label of the product is obtained by carrying out diversified system analysis according to elements such as applicable population of the product, favorite habits and habits of existing users, regional culture, distribution speed of product logistics distribution places, service, price and the like: refined labels for food, middle-aged and old people, northeast, special products and the like.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. The background data processing system fusing the social platform and the e-commerce platform is characterized by being constructed by adopting a B/S architecture and provided with a communication interface for data interaction with the social platform and the e-commerce platform, and further comprising the following modules:
the login module is used for verifying the registration information of the user and logging in the corresponding user account when the verification is passed;
the system management module is used for setting a module which is opened to the outside by the system and viewing system logs, wherein the system logs comprise login logs, access logs and operation logs of different users as well as abnormal logs and authorization logs of the system;
the unit organization module is used for setting administrator user information and distributing authority to the administrator users;
the order management module is used for checking orders in background data of the E-commerce platform, managing the orders and summarizing order data;
and the customer setting module is used for carrying out customer data editing, customer service information management and management on the customer and the corresponding commercial tenant on the social platform.
2. The system of claim 1, further comprising a core analysis module for performing a data analysis process on the enterprise products, e-commerce orders and logistics orders, tagging product data, and screening out an optimal shopping plan and more options for the user.
3. The system of claim 2, wherein the analysis data of the core analysis module is mainly divided into: product processing, user analysis and operation analysis,
the product processing comprises labeling product data, analyzing potential user groups and selling and managing products;
the user analysis is mainly used for tracking the behavior habits of the user after browsing the trace and analyzing the behavior habits of the user;
the operation analysis mainly combines the user data and the product data to count the sales condition of the product within a period of time, and completes the investigation of enterprise product sales.
4. The system of claim 2, wherein the method of analyzing tagged product data in the core analysis module comprises: price positioning, trial population, region range, user type and logistics information.
5. The system of claim 1, further comprising a forum management module for users and merchants to post ideas and sharing suggestions at interested modules.
6. A data processing method applying the system according to any one of claims 1 to 5, characterized in that a unified communication interface is adopted to perform data interaction with each platform, the data of each platform is obtained and processed, and the processed data is returned to the corresponding platform through the communication interface.
7. The method of claim 6, wherein the communication interface is a webservice interface.
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