Fashion Industry in the Age of Generative Artificial Intelligence and Metaverse: A systematic Review
Rania Ahmed, Eman Ahmed, Ahmed Elbarbary, Ashraf Darwish, Aboul Ella Hassanien

TL;DR
This systematic review analyzes how Generative Artificial Intelligence and the metaverse are transforming the fashion industry, proposing a new integration framework and highlighting opportunities for innovation in design, manufacturing, and customer engagement.
Contribution
It provides a comprehensive synthesis of existing research on GAI and metaverse in fashion, and introduces a novel framework for their integration to foster industry advancements.
Findings
Integration of GAI and metaverse can revolutionize fashion industry processes.
SWOT analysis highlights opportunities and challenges of GAI and metaverse.
Proposed framework offers practical use cases for industry adoption.
Abstract
The fashion industry is an extremely profitable market that generates trillions of dollars in revenue by producing and distributing apparel, footwear, and accessories. This systematic literature review (SLR) seeks to systematically review and analyze the research landscape about the Generative Artificial Intelligence (GAI) and metaverse in the fashion industry. Thus, investigating the impact of integrating both technologies to enhance the fashion industry. This systematic review uses the Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, including three essential phases: identification, evaluation, and reporting. In the identification phase, the target search problems are determined by selecting appropriate keywords and alternative synonyms. After that 578 documents from 2014 to the end of 2023 are retrieved. The evaluation phase applies three screening steps…
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