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Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review

Author

Listed:
  • Aitor Goti

    (Faculty of Engineering, University of Deusto, 48007 Bilbao, Bizkaia, Spain)

  • Leire Querejeta-Lomas

    (Faculty of Engineering, University of Deusto, 48007 Bilbao, Bizkaia, Spain)

  • Aitor Almeida

    (Faculty of Engineering, University of Deusto, 48007 Bilbao, Bizkaia, Spain)

  • José Gaviria de la Puerta

    (Faculty of Engineering, University of Deusto, 48007 Bilbao, Bizkaia, Spain)

  • Diego López-de-Ipiña

    (Faculty of Engineering, University of Deusto, 48007 Bilbao, Bizkaia, Spain)

Abstract

Many industries, including healthcare, banking, the auto industry, education, and retail, have already undergone significant changes because of artificial intelligence (AI). Business-to-Customer (B2C) e-commerce has considerably increased the use of AI in recent years. The purpose of this research is to examine the significance and impact of AI in the realm of fashion e-commerce. To that end, a systematic review of the literature is carried out, in which data from the Web Of Science and Scopus databases were used to analyze 219 publications on the subject. The articles were first categorized using AI techniques. In the realm of fashion e-commerce, they were divided into two categories. These categorizations allowed for the identification of research gaps in the use of AI. These gaps offer potential and possibilities for further research.

Suggested Citation

  • Aitor Goti & Leire Querejeta-Lomas & Aitor Almeida & José Gaviria de la Puerta & Diego López-de-Ipiña, 2023. "Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review," Mathematics, MDPI, vol. 11(13), pages 1-32, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:2943-:d:1184609
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    References listed on IDEAS

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    1. Fatma M. Talaat & Abdussalam Aljadani & Bshair Alharthi & Mohammed A. Farsi & Mahmoud Badawy & Mostafa Elhosseini, 2023. "A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing," Mathematics, MDPI, vol. 11(18), pages 1-26, September.

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