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/.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3