Realization Of Network Sales Management System And Research On Sales Forecasting

Sales management is an important ingredient deciding an automobile manufacturing enterprise' s survival. Sales management is a bridge linking other business together. A complete sales system not only consists of the standardization and integrity of internal sales management, but also interaction between the enterprise and its partners, dealers for example, still, the informazation of the entire automobile industry chain is parts of the complete sales system as well. With the development of information and network technology, facing increasingly fierce market competition, how to normalize sales management flow, to improve efficiency and transparency of sales management, to develop network sales management system by information and network technology become urgent problems for automobile manufacturing enterprises. However, network sales management system based on the automobile industry chain cooperation ASP platform is a very well solution. By this cooperation platform, enterprises can share their information and data, perform their Synergistic e-business, promote cooperation capacity of regional enterprises, and upgrade overall economic competitiveness.According to sales management status of Group WZ, the paper analysises its organizational structure for sales in detail, focusing on two main business processes which are order management and car-delivering management, then drawing and optimizing models. On the basis of the requirement analysis and modeling, combined with related database theory, concept and logic database are designed. Finally the paper designs and implements network sales management system for Group WZ.The enterprise accumulates sales data more and more, thus "data explosion but lack of knowledge" is an urgent problem. The paper brings forward a time series sales forecast model based on Lagrange interpolation theory and BP Neural Networks. Combining with linear and nonlinear prediction methods, the model forecasts future sales amount. By verification, the model has a high forecast precision.