| In the Tenth Five-Year Plan of the national significant science and technology attack items "the essential technology of information-based manufacturing industry attack and its application project", Anshan is listed as the key demonstration city of information-based project of manufacturing industry. This article unified making Anshan as a high-quality steel products base and developing local characteristic economy. It embarked from multitudinous steel rolling enterprises' demands and took enhancing the enterprises' sales management as the breach. After that, the sales management system of Anshan medium iron and steel tube enterprises was studied and developed from the project application angle.Main jobs in the paper were summed up as follows:1. On the base of reading mass references, the sales management system of development trend and current situation both here and abroad and the related concepts of ERP and CRM were summarized. The implement and application of enterprise of China was set forth.2. On the base of probe deeply into twenty three medium and small-sized iron and steel enterprises in Anshan, considering practical situation of medium iron and steel tube enterprises, through acting according to actual circumstances, the partly functions of CRM and management ideas focusing on the central of the client were introduced into the sales management system of enterprise ERP, and the sales management system was analyzed systemic and detailed, and the functions of the sales management system were designed and realized by programming.3. For the sales forecast subsystem of the sales management system, time sequence analyzing and forecasting method based on the interpolating theoretics and neural network was proposed. Firstly, a mass of data were fitted by the interpolating method and neural network was trained, which make up the problem of historical data absence. Secondly, the parameter was fitted by neural network which has better nonlinear mapping and self-learning ability substitute for traditional Least-squares methods. Simulation results show the forecast precision is enhanced distinctly.This sales management system has already been implemented in the enterprise. It provided the reliable basis for the sale analysis and the market forecast, enhanced the market response speed and the customer's satisfaction degree, expanded the marketing channels and improved enterprise's competition. At the same time, it also made the effective exploration for making for the e-commerce pattern for the enterprise finally. |
