Abstract
This study explores the role of artificial intelligence (AI) and mathematical modeling in enhancing sustainability and reducing the environmental footprint of digital textile manufacturing. Special attention is given to AI-driven multiscale modeling, geometric simulations, and mechanics-based fabric movement analysis, which optimize material efficiency and minimize waste. The research highlights how AI-powered virtual clothing design and digital textile production contribute to lower energy consumption, reduced water usage, and minimized chemical waste in the fashion industry. By integrating AI into sustainable manufacturing processes, the fashion industry can transition towards more responsible and resource-efficient production methods. This paper provides both theoretical insights and practical applications demonstrating AI's potential in achieving the Sustainable Development Goals (SDGs) in the textile sector.