@article{AlKassabThiesseBuckel2013,
  author    = {Al-Kassab, Jasser and Thiesse, Frederic and Buckel, Thomas},
  title     = {RFID Data Analytics in Retail Logistics: A Case Example},
  series = {Journal of Theoretical and Applied E-Commerce Research},
  volume    = {8},
  journal   = {Journal of Theoretical and Applied E-Commerce Research},
  number    = {2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-129500},
  pages     = {112-137},
  year      = {2013},
  abstract  = {The growing interest in Radio Frequency Identification (RFID) technology in recent years has sparked an intensive debate on the benefits to be expected. With the growth of RFID implementations in size and scope comes a shift away from infrastructural aspects to the question of how to draw value from the large amounts of collected data. However, the necessary procedures for the handling of massive RFID data sets are still an under-researched issue. Against this background, the study presents results from a real-world trial conducted by a large apparel retailer. The objective of the trial was to explore the opportunities for generating novel performance indicators and reports on the reality of store processes and customer behavior on the sales floor. We give an overview of the algorithms used for RFID data processing and the interpretation of the resulting insights from a practitioner's point of view. The case example thus provides an overview of the potential of RFID as a powerful tool for assortment optimization, customer research, store layout design, and other management tasks in retail.},
  language  = {en}
}