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

Author:

Goti Aitor1ORCID,Querejeta-Lomas Leire1,Almeida Aitor1ORCID,de la Puerta José Gaviria1,López-de-Ipiña Diego1ORCID

Affiliation:

1. 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.

Funder

DEUSTEK5– Human-centric Computing for Smart Sustainable Communities and Environments, Basque Universities’ System’s research group

Ministerio de ciencia e innovación, Spain

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference274 articles.

1. Emarketer (2021, October 28). Global Ecommerce Update 2021—Insider Intelligence Trends, Forecasts & Statistics. Available online: https://www.emarketer.com/content/global-ecommerce-update-2021.

2. Statista (2021, October 28). Global Retail e-Commerce Market Size 2014–2023. Available online: https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/.

3. Impact of COVID-19 on Consumer behavior: Will the old habits return or die?;Sheth;J. Bus. Res.,2020

4. How the COVID-19 Pandemic May Change the World of Retailing;Roggeveen;J. Retail.,2020

5. Statista (2021, October 25). Fashion eCommerce Report 2020. Available online: https://www.statista.com/study/38340/ecommerce-report-fashion/.

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