AI Driven Behavioural Modeling Framework for Enhancing Online Apparel Shopping Intentions Through VALS Profiling
摘要
This research rigorously investigates the managerial implications of online apparel shopping through the lens of Values, Attitudes, and Lifestyles (VALS) by integrating AI-driven analytics to enhance VALS profiling and establish a comprehensive five-point framework. The framework identifies five critical orientations: fashion orientation, brand orientation, conventional orientation, rational orientation, and passive orientation. By leveraging AI to rationalize VALS profiles within this framework, the study evaluates a strategic model to uncover behavioral insights into online apparel purchasing intentions. The findings hold significant implications for multinational corporations entering the Indian market, offering AI-powered insights to customize marketing strategies effectively. With a primary focus on the youth demographic, which profoundly influences India's socio-economic and cultural landscape, the study underscores the importance of developing sustainable, AI-optimized marketing strategies tailored to this crucial market segment.