Intelligent product cross-selling system in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert system

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

1 Citation (Scopus)

Abstract

This chapter presents a combined use of radio frequency identification (RFID) technology and a product cross-selling system to perform cross-selling and up-selling for the retail industry. A smart dressing system (SDS) enabled by RFID technologies and an intelligent product cross-selling system (IPCS) have been developed. Customers' in-store data can be collected using RFID-enabled SDS and used for promoting or cross-selling new products. The IPCS, integrating a rule-based expert system and a fuzzy screening technique, can process linguistic and categorical information to simulate fashion designers and recommend appropriate fashion product items for cross-selling. The proposed systems execute the selling strategies more effectively, which improves sales performance in the fashion retail industry.
Original languageEnglish
Title of host publicationOptimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)
Subtitle of host publicationFrom Production to Retail
PublisherElsevier Inc.
Pages196-224
Number of pages29
ISBN (Print)9780857097798
DOIs
Publication statusPublished - 1 Jan 2013

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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