Research And Implementation Of Automobile Pre-sale Service System

Recently, the huge car consumers and the growing market demand in China, not only promote the rapid development of domestic automobile manufacturing industry, but also attract the world's major automotive multinational companies entering China, which launch fierce competition and contest with the domestic auto companies in this emerging market.However, the difference of products in companies became smaller, and the way of relying on the cost advantage of the products to improve the market competitiveness is gradually ineffective. As a result, the enterprises begin to focus on the customer resources, and how to retain existing customers and develop new customer resources become the top priority of enterprise development. Providing suitable personalized service for different customers and maximizing the enterprise profits has become an effective means to improve enhance the market efficiency and increase the enterprises competitiveness.In this thesis, we studied the marketing and sales model based on the AA enterprise, and found that the manufacturer and the dealer between the sales information exchange mechanism has been relatively perfect. Regrettably, they ignored the importance of auto pre-sale service.Customer segmentation is the basis for the implementation of pre-sale services, so companies should pay more attention to pre-sales links and customer segments into the sales process.Firstly, the k-means algorithms is studied, and chose a far point as the initial clustering center to analysis and validate its performance, and then apply it to automotive customer segmentation. Secondly, we optimize the existing the sale process by the subdivision results,and formulate appropriate marketing strategies and implement them to provide customers with value-added services for related products, and maximize the potential value of mining customers; On the other hand, the manufacturer through the customer analysis to understand the target customer preferences, timely grasp the market demand for the development of new models to provide the basis, Get the mutual benefit and win-win situation between customers and businesses through customer segmentation.Finally, according to system requirements, the algorithm implement functions of many module such as the system management module, the basic data management module,performance query and sales analysis report module and statistics customer segmentation and customer service management module and other functions by use C # language, and the three-tier architecture based on the B / S model. In the thesis, we also give a simple and clear visual interface and the show of multi-dimensional chart, which make it easy to quickly capture the abnormal sale information and the sale law. The system can help to make timely adjustments to the production decision, and provide a reference for the strategic adjustment of enterprises.