AnalyzingIn-store Shopping Paths from Indirect Observation with RFIDTags Communication Data

Abstract

This paper presents in-store customer behavioral model gathered from RFID (RadioFrequency Identification) tags communication data. Although this kind of research has beenmade by various methods such as interviewing or tracking behind customers, Conventionalresearch methods are made by with the existence of customer tracking research, so far. Forcollection of natural customer behavior, we made a customer in-store behavior research withRFID tags in a real retail store. In a conventional store design theory, it has been thought thatincreasing the length of staying time can raise the amount of money per person. Therefore,the store has been designed in the form that goes inside of a shop around. The experimentalresults suggest that there is a correlation between the spent of time and the length of customerwalking path.