AI-enhanced intelligent fashion eCommerce: Virtual try-on and personalized style recommendations in action

Agrawal, Keshav (2025) AI-enhanced intelligent fashion eCommerce: Virtual try-on and personalized style recommendations in action. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 2142-2150. ISSN 2582-8266

The fashion retail industry is experiencing a significant digital transformation driven by advanced technologies. This article examines the implementation of Artificial Intelligence in fashion eCommerce, focusing on virtual try-on technologies and personalized style recommendations. The article shows how these AI-powered solutions address key challenges in online fashion retail, including size uncertainty, fit issues, and the inability to physically experience products before purchase. Through article analysis of current technological frameworks, machine learning models, augmented reality applications, and 3D modeling techniques, this study demonstrates how AI is revolutionizing the customer experience while delivering measurable business benefits. The article also explores implementation challenges related to data quality, privacy concerns, technical integration, and cost-benefit considerations, providing practical solutions and frameworks for successful deployment across various fashion retail segments.