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Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
by
Goti, Aitor
, Querejeta-Lomas, Leire
, López-de-Ipiña, Diego
, de la Puerta, José Gaviria
, Almeida, Aitor
in
Artificial intelligence
/ Banks (Finance)
/ business-to-customer
/ COVID-19
/ Customers
/ Datasets
/ Electronic commerce
/ fashion
/ Food science
/ Forecasts and trends
/ Literature reviews
/ retail
/ Retail industry
/ Transportation equipment industry
/ Trends
2023
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Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
by
Goti, Aitor
, Querejeta-Lomas, Leire
, López-de-Ipiña, Diego
, de la Puerta, José Gaviria
, Almeida, Aitor
in
Artificial intelligence
/ Banks (Finance)
/ business-to-customer
/ COVID-19
/ Customers
/ Datasets
/ Electronic commerce
/ fashion
/ Food science
/ Forecasts and trends
/ Literature reviews
/ retail
/ Retail industry
/ Transportation equipment industry
/ Trends
2023
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Do you wish to request the book?
Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
by
Goti, Aitor
, Querejeta-Lomas, Leire
, López-de-Ipiña, Diego
, de la Puerta, José Gaviria
, Almeida, Aitor
in
Artificial intelligence
/ Banks (Finance)
/ business-to-customer
/ COVID-19
/ Customers
/ Datasets
/ Electronic commerce
/ fashion
/ Food science
/ Forecasts and trends
/ Literature reviews
/ retail
/ Retail industry
/ Transportation equipment industry
/ Trends
2023
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Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
Journal Article
Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
2023
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Overview
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.
Publisher
MDPI AG
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