The Use of Machine Learning Models in Customer Segmentation on Airline, Retail and Electricity Markets
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DOI: 10.23977/emcg2021.024
Author(s)
Zixuan Hu, Yuxin Li, Jiachen Wang
Corresponding Author
Zixuan Hu
ABSTRACT
Customer segmentation is essential for customer-oriented industries. By treating customers differently, the company can win preference with a wider range of customers. In order to accomplish the goal more precisely and efficiently, several machine learning models including K-Means algorithm and Self Organized Maps are used. Customer segmentation is applied in numerous industries, among them, airline, retail market and electricity stand a dominate position, as in these areas, customer segmentation plays a more important part in making market strategies compared with other areas. Thus, this paper mainly focuses on categorical skills in these three areas, makes a timely review of the customers' classification, and puts forward the potential directions for the future. The review on customer segmentation may benefit investors for in-depth studies.
KEYWORDS
Customer segmentation, customer-oriented, airline, retail, electricity