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Recording and understanding the behaviour of customers is paramount and a key factor influencing the success of any retail business. This paper reports the initial stages of an EPSRC funded research project, which presents a new methodological approach to analysing in-store customer behaviour with a view to optimising space and store performance. Using existing in-store CCTV cameras from a major clothing discount retailer, consumers are tracked to detect patterns of behaviour. Analysis of these “real-time” data exhibited flaws in the arrangement of customer service facilities, and insight into the problems associated with merchandise return policies. Understanding these customer processes and movement patterns thus helped the retail collaborator maximise the performance of the store.  相似文献   

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