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.