ShopMiner: Mining customer shopping behavior in physical clothing stores with COTS RFID devices

Longfei Shangguan, Zimu Zhou, Xiaolong Zheng, Lei Yang, Yunhao Liu, Jinsong Han

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

64 Citations (Scopus)

Abstract

Shopping behavior data are of great importance to understand the effectiveness of marketing and merchandising efforts. Online clothing stores are capable capturing customer shopping behavior by analyzing the click stream and customer shopping carts. Retailers with physical clothing stores, however, still lack effective methods to identify comprehensive shopping behaviors. In this paper, we show that backscatter signals of passive RFID tags can be exploited to detect and record how customers browse stores, which items of clothes they pay attention to, and which items of clothes they usually match with. The intuition is that the phase readings of tags attached on desired items will demonstrate distinct yet stable patterns in the time-series when customers look at, pick up or turn over desired items. We design ShopMiner, a framework that harnesses these unique spatial-temporal correlations of time-series phase readings to detect comprehensive shopping behaviors. We have implemented a prototype of ShopMiner with a COTS RFID reader and four antennas, and tested its effectiveness in two typical indoor environments. Empirical studies from twoweek shopping-like data show that ShopMiner could achieve high accuracy and efficiency in customer shopping behavior identification.
Original languageEnglish
Title of host publicationSenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages113-126
Number of pages14
ISBN (Electronic)9781450336314
DOIs
Publication statusPublished - 1 Nov 2015
Externally publishedYes
Event13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of
Duration: 1 Nov 20154 Nov 2015

Conference

Conference13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
CountryKorea, Republic of
CitySeoul
Period1/11/154/11/15

Keywords

  • Backscatter communication
  • RFID
  • Shopping behavior

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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