The Application of BP Neural Net Model in Logistics Costs Decision-Making

There are a lot of factors that affect the cost of logistics services .And when we try to give a specific price for customers, we should take into account for various factors to make our service and our price have a best match. It can reflect the tailored of logistics services. In this paper we take the warehousing & distribution enterprise as an example, and apply BP neural net model, with it´s excellent characteristics such as the parallel distributed processing, self-organize, self-adjust, self-learning and fault tolerance to solve the prediction of the service cost of logistics enterprise, which is a kind of problem with various factors, uncertainty and nonlinear. Then we come to a support pricing model which is based on BP neural net technology, and this support pricing model can provide the basis for logistics enterprise in service pricing with preferable value.