AI for Sustainable Fashion: Reducing Environmental Impact in the Textile Industry

Abstract

The fashion industry is one of the largest contributors to pollution and resource depletion, necessitating sustainable solutions. This paper examines how AI is transforming fashion sustainability through predictive analytics, eco-friendly material innovation, and waste reduction strategies. It explores AI-driven applications such as demand forecasting to reduce overproduction, smart textile manufacturing, and AI-powered recycling solutions. Case studies highlight brands successfully integrating AI into sustainable fashion practices while addressing challenges related to cost, supply chain complexity, and consumer behavior. The paper concludes with recommendations for the future of AI in promoting circular economy principles within the fashion industry.