IoT data acquisition in fashion retail application : fuzzy logic approach

Chi On Chan, H. C. W. Lau, Youqing Fan

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

15 Citations (Scopus)

Abstract

![CDATA[The fashion industry operates in a fast moving and dynamic environment which requires fashion designers to respond to market trends continuously. This paper investigates potential for application of Internet of Things (IoT) and the related state-of-the-art research efforts in fashion retail. Non-purchasing behaviors are seldom recorded in retail. What customers are interested in may not reflect totally in products they actually bought and are recorded in Point of Sales (POS). However, some of in-store behaviors may reflect their hidden preferences. These data were not easy to record in the past. This study is relevant to use of sensing devices that can capture in-store customer behaviors and transmit the same through wireless network to cloud. A data analytics model with fuzzy logic approach is developed to generate data of purchasing intentions. The paper fills the literature gap on the use of specific non-purchase data in retail stores. With the aid of fuzzy logic, behavioral intentions can be used by salespersons for recommending products to customers and guide supply chain planning. It also enriches the application of IoT in fashion retail environment. The findings from this research can be applied to other products in the retail industry.]]
Original languageEnglish
Title of host publicationProceedings of 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD 2018), May 26-28, 2018, Chengdu, China
PublisherIEEE
Pages52-56
Number of pages5
ISBN (Print)9781538669877
DOIs
Publication statusPublished - 2018
EventInternational Conference on Artificial Intelligence and Big Data -
Duration: 26 May 2018 → …

Conference

ConferenceInternational Conference on Artificial Intelligence and Big Data
Period26/05/18 → …

Keywords

  • Internet of things
  • consumer behavior
  • fashion merchandising
  • fuzzy logic
  • stores, retail

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