A study on classifying the store positioning from the transactional data
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
International Research Conference on Smart Computing and Systems Engineering - SCSE 2018
Abstract
This paper describes a customer analysis for store positioning, using data gathered from supermarkets in Japan. Among the retail industry in Japan, there are many types of reward cards used for customer retention purposes. The rewards cards or “Point Card”, is originally aimed for customer analysis purposes, but at present the full benefits have not been extracted due to issues in data analytics. This reward card has only become a method of simply distributing “virtual money” to the customer. For the efficient use of gathering data, we propose a classification method of the customer based on the objectives of visiting stores. In this study, the customers were classified into their objectives.
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Keywords
Data analyis, Machine learning, Retail, Service science, Management engineering
Citation
Takahashi,M. and Tanaka,Y. (2018). A study on classifying the store positioning from the transactional data. International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka. p.193.