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ADVANCES IN INDUSTRIAL ENGINEERING AND MANAGEMENT
ISSN:2222-7059 (Print);EISSN: 2222-7067 (Online)
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Title : Prediction Model of Consumer Behavior and Volume with E-commerce
Author(s) : Min Duan, Hao Wang
Author affiliation : School of Traffic and Transportation, XUCHANG University, Xuchang 461000, China
School of Transportation Engineering, Beijing Jiaotong University, Beijing 100044, China
Chairman & CEO, Shanghai Jadecash Investment Management Co, Ltd, Shanghai 200433, China
Corresponding author img Corresponding author at : Corresponding author img  

Abstract:
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.

Key words:E-commerce; sale volume; customer behavior

Cite it:
Min Duan, Hao Wang, Prediction Model of Consumer Behavior and Volume with E-commerce, Advances in Industrial Engineering and Management, Vol.6, No.2, 2017, pp.130-134, doi: DOI: 10.7508/aiem.2017.02.014

Full Text : PDF(size: 500.75 kB, 130-134, Download times:90)

DOI : 10.7508/aiem.2017.02.014

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