RESEARCH ON RAILWAY FREIGHT CUSTOMER SEGMENTATION BASED ON RFM MODEL

ZHANG Bin, PENG Qi-yuan, LIU Fan-xiao

ABSTRACT: Because of various aspects influence, China railway freight transportation has been subjected to greater impact, and lost plenty of sources of good and freight customers. One way to solve this problem is to improve the CRM and market management. This paper proposes RFM mode of freight customer segmentation. Finally, this paper makes the computer simulation based on Hadoop using Spark to deal with the complexity of K-means algorithm. The simulation proves the freight customer segmentation based on RFM model is efficient, and the K-means algorithm is high efficiency based on Hadoop using Spark, and some suggestions are put forward according to the results.

Keywords: RFM, customer segmentation, K-means, Hadoop, Spark.