A proposal on RFID data analytics methods

Tetsuro Tamura, Tatsuya Inaba, Osamu Nakamura, Jiro Kokuryo, Jun Murai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


This study proposes RFID data analytics methods using consumer purchase behavior data as well as sales data. Consumer purchase behavior data, how consumers select or not select items at stores, has not been available, but with the progress of the radio frequency identification (RFID) technology, it becomes feasible to use it in a commercial basis. The proposed data analytics methods are two: one is to infer items that are compared to each other while customers select items at stores, and the other is to infer good combination items that can be used to stimulate sales of each other. We evaluate our proposal using real consumer purchase behavior data and sales data captured in an RFID pilot experiment. We confirm that the methods successfully infer the items that are useful to the retailer.

Original languageEnglish
Title of host publication2010 Internet of Things, IoT 2010
Publication statusPublished - 2010 Dec 1
Event2nd International Internet of Things Conference, IoT 2010 - Tokyo, Japan
Duration: 2010 Nov 292010 Dec 1

Publication series

Name2010 Internet of Things, IoT 2010


Other2nd International Internet of Things Conference, IoT 2010

ASJC Scopus subject areas

  • Computer Networks and Communications


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