Please use this identifier to cite or link to this item:
http://repository.kln.ac.lk/handle/123456789/19033
Title: | A study on classifying the store positioning from the transactional data |
Authors: | Takahashi, M. Tanaka, Y. |
Keywords: | Data analyis Machine learning Retail Service science Management engineering |
Issue Date: | 2018 |
Publisher: | International Research Conference on Smart Computing and Systems Engineering - SCSE 2018 |
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. |
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. |
URI: | http://repository.kln.ac.lk/handle/123456789/19033 |
Appears in Collections: | Smart Computing and Systems Engineering - 2018 (SCSE 2018) |
Files in This Item:
File | Description | Size | Format | |
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SCSE Proceedings - (193).pdf | 521.32 kB | Adobe PDF | View/Open |
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