The potential of e-commerce credit evaluation model for sellers

E-commerce has a revolutionary social and economic impact since 1990s. However, considering its uncertainty, highly dynamic nature, virtual individual transactions and limitation of e-commerce technology and management of the development, it is very important for e-commerce to develop a secure and reliable credit rating system. Seller credit rating system is a systematic project, and there are many factors to be considered. Seller´s online transaction record and trading results will affect buyer´s decision on trade, but from the perspective of long-term cooperation, the seller´s capabilities of development in the future and the level of credit potential are also important factors to be considered before trading with them. In this paper, the potential of seller´s credit in e-commerce environment is evaluated with the improved BP neural network model. The model can produce the evaluation results accurately and effectively, and it can be put into application.