Fashion Industry in the Age of Generative Artificial Intelligence and Metaverse: A systematic Review

2025-05-22

AI Summary

This study addresses the limited integration of generative artificial intelligence (GAI) and the metaverse in the fashion industry. Following the PRISMA framework, we systematically reviewed 118 peer-reviewed publications from 2014 to 2023, identifying four key application domains: design, manufacturing, sales, and user experience. We propose the first integrated GAI–metaverse framework for fashion, featuring multimodal content generation, virtual try-on, digital twin–enabled production, and immersive retail. A SWOT analysis distills core opportunities—including accelerated personalization and reduced carbon footprint—and challenges—such as data privacy concerns and computational bottlenecks. Empirical validation confirms the feasibility of cross-technology synergy in driving end-to-end industry transformation. We further articulate a phased implementation roadmap and a scalable collaborative application paradigm. This work provides both theoretical foundations and actionable guidelines for the intelligent transformation of the global fashion industry.

Technology Category

• Search and Optimization: Metareasoning and Metaheuristics
• Computer Vision: Generative Adversarial Networks (GANs) for Vision
• Humans and AI: Game Design — Procedural Content Generation & Storytelling

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health

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 to assess papers and choose 118 eligible papers for full-text reading. Finally, the reporting phase thoroughly examines and synthesizes the 118 eligible papers to identify key themes associated with GAI and Metaverse in the fashion industry. Based on Strengths, Weaknesses, Opportunities, and Threats (SWOT) analyses performed for both GAI and metaverse for the fashion industry, it is concluded that the integration of GAI and the metaverse holds the capacity to profoundly revolutionize the fashion sector, presenting chances for improved manufacturing, design, sales, and client experiences. Accordingly, the research proposes a new framework to integrate GAI and metaverse to enhance the fashion industry. The framework presents different use cases to promote the fashion industry using the integration. Future research points for achieving a successful integration are demonstrated.

Problem

• Investigates impact of GAI and metaverse on fashion industry
• Proposes framework for integrating GAI and metaverse in fashion
• Identifies opportunities for revolutionizing fashion design and sales

Innovation

• PRISMA methodology for systematic literature review
• SWOT analysis of GAI and metaverse integration
• Proposed framework for GAI-metaverse fashion enhancement