Design And Implementation Of Sales Assistant Under Enterprise Wechat Platform

With the "customer-centric" marketing philosophy and the deepening of the concept of "making full use of each customer's social value",sales management companies are paying more attention to combining mobile social platforms with sales assistants to make them more convenient.By 2018,the number of Internet users on WeChat platform has reached 1.04 billion.With its large coverage of domestic mobile Internet users,WeChat not only has a large user base and convenient communication channels,but also provides Offical Accounts and Enterprise WeChat which is a communication platform for enterprises.This paper aims to realize the basic business logic through the sales assistant system,and use this platform to complete the analysis and tracking of a variety of document sales copy,and finally use the recommendation algorithm to achieve personalized recommendation for sales.Under the Enterprise WeChat social platform,the sales assistant uses the Enterprise WeChat as the tool carrier to open up the data channel between the enterprise WeChat and the personal WeChat,realizing the personalized and precise marketing under the mobile social network,the customer's corporateization and the effective management of the sales team.After deep understanding of the current business needs of the company's WeChat sales assistant,the research objectives of the project were clarified,and then the system flow was designed and the system was designed.The system adopts J2EE technology system and Spring Boot framework for system development,and completes the implementation of customer management,visit management,message comment management,data management,employee management and other functional modules,and tests the system for delivery to users.Based on the above functions,the system has designed a document parsing engine and a personalized recommendation module to collect user behavior and analyze data for user recommendation.The main research work is as follows:(1)With the enterprise WeChat platform,combined with the actual needs of the enterprise business,analyze the requirements of the system,divide the functional modules,complete the design and implementation of the basic function modules of the sales assistant,and build the structural system of the system through the relationship between the modules.(2)Implementing the sales assistant's document parsing engine,parsing and encapsulating H5 pages,graphic and text documents,advertising planes,PDF and other document formats,so that the system can provide customers with a variety of message materials more quickly and conveniently.(3)Based on customer reading habits,user portraits are built,personalized recommendation models are built,potential users' needs are analyzed,and personalized marketing can be based on user behavior preferences.