An optimal method on automobile mass customization delivery period based on customer behavior prediction

This paper presents a model of customer purchasing behavior prediction, which would contribute in automobile mass customization field to shorten the delivery period. By the application of artificial neural network method, customer's attributes, behaviors before final decision and previous cases could be learned by machine and be used to predict his / her future behavior. Based on customer behavior theory and automobile sales knowledge, 13 attributes or behaviors were selected as observation points, i.e. input data. In the given case, 87.4% of all 450 samples were correctly judged by the model.