An Integrated Customer Segmentation Method for China’s Supermarkets

摘要：

For a customer-based supermarket, usually two types of data are available. One is demographic data, and the other is transactional data. Most of previous researchers and practitioners mainly focus on solely utilizing either type of data to segment customers. To obtain a stable and implementable consumer segmentation methodology with high efficiency and product recommendation accuracy for targeted customers, we propose an integrated customer segmentation method which takes advantages and avoids pitfalls of both the demographic information and the customer transactional data. As in the context of China’s supermarkets, it is developed to reveal customer psychological behavior of shopping in supermarket. This method is theoretically validated and verified in a real China supermarket case.

作者: Xinxin Bai Xi Xia Haifeng Wang Wenjun Yin Jin Dong

作者单位: IBM China Research Laboratory, Beijing, China Chinese Academy of Sciences, Beijing, China IBM China Research Laboratory,Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Service Operations and Logistics,and Informations(2010 IEEE 服务、运筹、物流与信息化国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 440-445

在线出版日期: 2010-07-15（万方平台首次上网日期，不代表论文的发表时间）