This session focuses on the intersection of artificial intelligence (AI), machine learning (ML), and sustainable innovation in the global textile and fashion industry. With the sector producing 92 million tons of waste annually and causing 20% of industrial water pollution, there is an urgent need for transformative technologies that reduce environmental impact and support circular practices.

Participants will explore how AI models are revolutionizing textile production through:

-Smart textile sorting and recycling to reduce landfill waste

-Predictive analytics for demand forecasting to minimize overproduction

-AI-assisted material innovation for creating biodegradable, reusable, or digitally optimized textiles

The session also examines key data trends, identifies under-researched application areas, addresses current implementation challenges, and proposes future research pathways for achieving sustainability through AI in the textile domain.

This discussion is ideal for researchers, sustainability professionals, fashion technologists, and policy-makers exploring the role of AI in creating eco-efficient, circular textile systems.