Authors: Sanyam Jain, Amit Kumar, Prakash Mali, Khushal Bharat Shivade, Krishna Gutte
Abstract: Rapid digital change in the fashion and retail world is underway. Virtual try-on technologies are changing how people shop. However, these technologies are also bringing up issues like data privacy and security. This paper introduces Style Secure Zone, an AI-enabled framework for secure, contactless, and personalized shopping for clothing.While physical fitting rooms will still be necessary in traditional department stores, the development of Style Secure Zone will tackle hygiene issues and help retailers improve their operations by reducing wait times. AI-powered and algorithm-supported product recommendations provide thoughtful outfit suggestions based on natural traits, preferences, personal styles, and fashion trends. 3D renders are also created to improve fit and feel.K-Movement’s testing shows that the system boosts consumer confidence, reduces product re- turns, and helps retailers manage inventory challenges related to space availability. Additionally, user assessments showcase great enthusiasm for the integrated, private, and interactive shopping experience across the platform. The overall findings highlight the importance of privacy-oriented digital retail platforms and demonstrate that safe, AI-enabled solutions, like the Style Secure Zone, look to strengthen customer engagement, retailer perfor- mance, and ultimately define the future of intelligent fashion retail.
DOI: https://doi.org/10.5281/zenodo.17164456
