WEAVING INNOVATION: EVALUATING THE EFFICIENCY AND EFFECTIVENESS OF AI IN THE FASHION INDUSTRY
Keywords:
Artificial Intelligence, Fashion Industry, Design Innovation, Supply Chain Optimization, SustainabilityAbstract
This systematic literature review examines the transformative impact of artificial intelligence (AI) on the fashion industry, evaluating its efficiency and effectiveness across the entire value chain. Through a comprehensive analysis of 50 peer-reviewed articles published between 2020 and 2025, this study identifies four key domains where AI is revolutionizing fashion: design innovation and creativity augmentation, supply chain optimization and operational efficiency, personalized consumer experiences, and sustainability enhancement. The findings reveal that AI technologies such as generative design tools, predictive analytics, virtual try-on systems, and AI-powered recommendation engines are not merely technological upgrades but represent a fundamental paradigm shift in how fashion is created, produced, marketed, and consumed. While AI demonstrates significant potential for enhancing creative processes, improving operational efficiencies, personalizing customer engagement, and advancing sustainability initiatives, challenges related to data privacy, algorithmic bias, and ethical implications require careful consideration. This review contributes to the growing discourse on technology's role in fashion by synthesizing current knowledge, identifying research gaps, and providing evidence-based insights to guide industry practitioners and researchers navigating the evolving landscape of AI in fashion.
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