Intelligent apparel product cross-selling using radio frequency identification (RFID) technology for fashion retailing

Wai Keung Wong, S. Y.S. Leung, Z. X. Guo, Z. H. Zeng, Pik Yin Mok

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

2 Citations (Scopus)

Abstract

This chapter demonstrates how a combined use of radio frequency identification (RFID) technologies and the Intelligent Product Cross-selling System (IPCS) can improve cross- and up-selling in the retail industry. In this study, two systems have been developed, namely the Smart Dressing System (SDS) enabled by RFID technologies, and the IPCS. The SDS demonstrates a research endeavour in which, unlike the previous studies which focused on transactional data, customers' in-store data can be collected using RFID-enabled SDS. This data can therefore be used for promoting or cross-selling new products to the customers more effectively and efficiently. The IPCS, integrating a rule-based expert system and a fuzzy screening technique, can handle the difficulties of processing linguistic and categorical information. This means fashion designers can recommend appropriate fashion product items for cross-selling with greater ease. The proposed systems' ability to improve selling strategies for the fashion retail industry will in turn help to increase their sales performance.
Original languageEnglish
Title of host publicationFashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies
PublisherElsevier Ltd
Pages159-186
Number of pages28
ISBN (Electronic)9780857098115
ISBN (Print)9780857098054
DOIs
Publication statusPublished - 12 Feb 2014

Keywords

  • Cross-selling
  • Fuzzy logic
  • Information system
  • Multi-criteria decision making
  • Retailing
  • RFID
  • Rule-based expert system

ASJC Scopus subject areas

  • Engineering(all)

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