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- Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
Authors
[u' @article{goti_artificial_2023, title = {Artificial {Intelligence} in {Business}-to-{Customer} {Fashion} {Retail}: {A} {Literature} {Review}}, volume = {11}, copyright = {http://creativecommons.org/licenses/by/3.0/}, issn = {2227-7390}, shorttitle = {Artificial {Intelligence} in {Business}-to-{Customer} {Fashion} {Retail}}, url = {https://www.mdpi.com/2227-7390/11/13/2943}, doi = {10.3390/math11132943}, 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.}, language = {en}, number = {13}, urldate = {2023-06-30}, journal = {Mathematics}, author = {Goti, Aitor and Querejeta-Lomas, Leire and Almeida, Aitor and de la Puerta, Jos\xe9 Gaviria and L\xf3pez-de-Ipi\xf1a, Diego}, month = jan, year = {2023}, keywords = {AI, Inception, JCR2.4, Q1, artificial intelligence, business-to-customer, deep learning, fashion, machine learning, retail}, pages = {2943}, } ']
Abstract