[2H1-J-2] Machine learning: modeling in businesses

[2H1-J-2-02] Customer Classification Through Time Series Order Data Analysis in High-end Barbecue Beef

〇Kiyotaka Shin¹, Xueyin Qu¹, Aiko Suge¹, Yasuo Yamashita¹, Hiroshi Takahashi¹ (1. Graduate School of Business Administration, Keio University)

Keywords:Purchasing behavior, Sales policy, Customer classification

The purpose of this research aimed at the improvement of management skills using POS data of restaurant service industry, focusing on customer configuration which is the most important factor in restaurant management. In addition to customer configuration, this analysis takes the time series order data into account which leads to the possibility of better classification. By obtaining more sophisticated knowledge of customer configuration, more value-added services and more efficient management will be expected.