The Study Of Real-Time Monitoring System For Dairy Company Dealer’s Satisfaction Based On The BP Neural Network

With the development of the market economy, dairy companies developed a large number of dealers in order to develop the market in the fierce market competition. In the marketing chain, the dealer plays a very important role between consumers and producers. Enterprise how to master dealer satisfaction and obtain the market demand is important, this determines the development of enterprises. After comprehensive analysis and research, this thesis to the dairy enterprise how to measure and monitor dealer’s satisfaction for further research and discussion, it has very important significance. This thesis mainly completed work is as follows:(1)This paper combines satisfaction evaluation system of the related industries w ith the industry characteristics to comprehensively analyze the dealer satisfaction inde x. Then, build the dairy companies dealer satisfaction evaluation index system.(2)According to the optimized satisfaction index system,using BP neural network to the dealer satisfaction evaluation system modeling.With the help of MATLAB tool combined with BP neural network algorithm for satisfaction evaluation model for trai ning,get a stable and accurate dairy companies dealer satisfaction evaluation model.(3) Based on Java EE technology, the use of SSH framework development dairy companies dealer satisfaction real-time monitoring system, this system USES the Java language to realize the relevant algorithm of BP neural network, and then realize the monitoring and analysis of the dealer satisfaction. Dairy enterprises may, according to data analysis, the system master distributor for the real demand of enterprise products and services, adjust the production and sales strategy, using dealers hold the huge consumer groups, improve market competitiveness and create higher profits.