Customer Behavior Modelling Using Radio Frequency Identification Data and the Hidden Markov Model

Katsutoshi Yada · Natsuki Sano

7 citations0/0 files storedAnnual SRII Global Conference

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Consumer Retail Behavior Studies Consumer Market Behavior and Pricing RFID technology advancements

Abstract

Developments in radio frequency identification (RFID) technology have made data on customer movement paths in supermarkets available. In this paper, we propose a method for customer behavior modeling by using RFID data and the hidden Markov model (HMM). In this method, "Stop" and "Pass by" behavior are estimated and the proposed method is evaluated by predicting the sales areas where customers actually purchased items. Using this method, we also demonstrate the shopping momentum. This effect, however, is experienced by only some customers, not all.

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1990Deliberative and implemental mind-sets: Cognitive tuning toward congruous thoughts and information.2005An exploratory look at supermarket shopping paths 2007The Shopping Momentum Effect 2008Research Note—The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP Optimality 2011Analysis of Residence Time in Shopping Using RFID Data -- An Application of the Kernel Density Estimation to RFID

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