Relation between stay-time and purchase probability based on RFID data in a Japanese supermarket

Authors:
Keiji Takai;Katsutoshi Yada
Affiliations:
Data Mining Laboratory, Kansai University, Suita, Japan;Data Mining Laboratory, Kansai University, Suita, Japan
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Year:
2010

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Abstract

Radio Frequency Identification (RFID) technology uses radio waves to track an object to which a small tag is attached. In a Japanese supermarket, we attach the RFID device to the cart and collect data on purchase behavior. In this article, we clarify the relation between purchase probability and the time customers spend in the store section by analyzing the RFID data with main use of descriptive methods. We clarify the way how the stay-time explains the purchase probability and characteristics of each store section. Based on the result, some implications for business are made as well.