CONCLUSION
Some contributions look into the enhancement of customer experience through shop floor optimization enabled by RFID data capture, but experimental results from real stores with real customers are limited. Only a few specifically look into the potential of RFID in fitting rooms in combination with point-of-sales data. By looking into more than mere conversion rates, it is possible to demonstrate practical applications of in-store RFID for other purposes than stock keeping and theft control in real-life operating conditions, without very specialised or dedicated equipment. Tag and tagging costs have decreased and the availability of cheap and flexible reading equipment, such as hand readers for shop floor and inventory operations, has increased.
This study demonstrates the viability of using RFID to categorise customers into a number of behavioural traits in the fitting room. RFID data is used to elicit a few broad types of customer behaviour. The typology is based upon fitting room episodes with multiple products, varying with size and/or style, where POS data comparison is used to 'validate' the outcome of each episode; i.e., what the customer ends up buying. In this way, RFID captures customer behaviour that has previously not been known by the retailer, covering the selection process prior to purchase.