Author(s):
Min Duan^1,2, Hao Wang ³

Author Affiliation:
¹School of Traf ic and Transportation, XUCHANG University, Xuchang 461000, China
²School of Transportation Engineering, Beijing Jiaotong University, Beijing 100044, China
³Chairman & CEO, Shanghai Jadecash Investment Management Co, Ltd, Shanghai 200433, China

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

This paper predicts the depth of the useful information such as the potential volume analysis, and establishes a customer e-commerce transaction model and volume forecast model based on being in specific e-commerce environment with large amounts of data for customer purchasing behavior. The paper relates to the study of calculation methods of transfer matrix, and the concrete prediction steps with an electronics store customer transaction data to verify the feasibility and validity of the model. Not only can offer the decision basis for enterprises to improve the quality of e-commerce business, the paper also improves the operation efficiency of e-commerce, which has important practical significance.

KEYWORDS:
E-commerce; sale volume; customer behavior