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

Aitor Goti; Leire Querejeta-Lomas; Aitor Almeida; José Gaviria de la Puerta; Diego López-de-Ipiña

doi:10.3390/math11132943

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

Aitor Goti^*
, Leire Querejeta-Lomas
, Aitor Almeida
, José Gaviria de la Puerta
, Diego López-de-Ipiña

^*Corresponding author for this work

University of Deusto

Research output: Contribution to journal › Review article › peer-review

32 Citations (Scopus)

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.

Original language	English
Article number	2943
Journal	Mathematics
Volume	11
Issue number	13
DOIs	https://doi.org/10.3390/math11132943
Publication status	Published - Jul 2023
Externally published	Yes

Keywords

AI
business-to-customer
fashion
retail

Access to Document

10.3390/math11132943

Cite this

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title = "Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review",

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.",

keywords = "AI, business-to-customer, fashion, retail",

author = "Aitor Goti and Leire Querejeta-Lomas and Aitor Almeida and \{de la Puerta\}, \{Jos{\'e} Gaviria\} and Diego L{\'o}pez-de-Ipi{\~n}a",

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doi = "10.3390/math11132943",

language = "English",

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T2 - A Literature Review

AU - Goti, Aitor

AU - Querejeta-Lomas, Leire

AU - Almeida, Aitor

AU - de la Puerta, José Gaviria

AU - López-de-Ipiña, Diego

PY - 2023/7

Y1 - 2023/7

N2 - 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.

AB - 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.

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KW - business-to-customer

KW - fashion

KW - retail

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DO - 10.3390/math11132943

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JO - Mathematics

JF - Mathematics

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ER -

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

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Keywords

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