Brazilian researcher Michelle Lins de Lima is spearheading a radical shift in the global fashion industry by integrating artificial intelligence (AI) into creative design processes. In a groundbreaking study published in the International Seven Multidisciplinary Journal, Michelle explores how AI-driven platforms such as DALL·E, MidJourney, and CLO 3D are not only accelerating the design cycle but are also empowering designers to create personalized fashion collections based on real consumer data.
Her research reveals how neural networks and advanced image-generation tools are revolutionizing clothing modeling, allowing brands to reduce the number of physical prototypes, minimize fabric waste, and generate collections tailored to different body types and customer preferences. This approach is not just innovative—it is scalable, sustainable, and highly adaptable to a dynamic global market.
Michelle emphasizes that this collaboration between AI and designers is not about replacing creativity, but enhancing it with powerful digital allies. By allowing designers to visualize concepts directly from text or customer input, AI is helping fashion brands launch collections faster, more efficiently, and with greater market alignment. In a time where agility and personalization define brand success, her work positions AI as a strategic engine for competitiveness and creative expansion in the fashion world.
