Zeinab Liaghat
ABSTRACT
Nowadays, brick and mortar retailers face a strong competition with online commerce. Instant feedback, product comparison or recommendations are relevant advantages of online commerce over traditional physical retailers. Ubiquitous Computing technologies such as Radio Frequency Identification (RFID) can help to bring the benefits of online commerce to brick and mortar stores. We have been using RFID EPC Gen2 to identify and track garments in fitting rooms and point-of-sales in a real store in Barcelona, Spain. In this work we present the initial results of a real-customer model analysis using RFID data. We demonstrate how by analyzing basket and fitting room information we can extract differentiated patterns in the customers behavior. This model is intended to be used as part of an in-store recommender system and stock information. Future work includes improvement of data collection and customer identification
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- Abowd, G. Software engineering issues for ubiquitous computing. In Software Engineering, 1999. Proceedings of the 1999 International Conference on (1999), 75--84. Google Scholar
Digital Library
- EPCGlobal. EPC Radio-Frequency Identity Protocols Class-1 Generation-2 UHF RFID Protocol for Communications at 860 MHz -- 960 MHz, 1.2 ed., 2008.Google Scholar
- Jannach, D., Zanker, M., Felfernig, A., and Friedrich, G. Recommender Systems: an Introduction. Cambridge University Press, 2010. Google ScholarCross Ref
- Melià-Seguí, J., Pous, R., Carreras, A., Morenza-Cinos, M., Parada, R., Liaghat, Z., and De Porrata-Doria, R. Enhancing the shopping experience through RFID in an actual retail store. In UbiComp'13, ACM, Zurich, Switzerland (2013). {In press}. Google ScholarDigital Library
Index Terms
- Consumer experience modeling and enrichment using RFID
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