The application of improved BP algorithm in customer classification of life insurance

With the development of the Internet, insurance selling on the Internet becomes a good chance for most companies. We have seen that property insurance have realized selling on the Internet, but for the life insurance, there isn´t any improvement in these years. One factor can explain this phenomenon: life insurance is too profession for customer to comprehension. So selling life insurance on the Internet develops very slowly. In this paper, in order to realize the auto sorting function for life insurance product, we give an improved backpropagation (BP) model, as long as the customer put their information into the model, we can get the product that most suit for them. The model avoids the character of profession for life insurance efficiently, so it becomes possible for life insurance selling on Internet.