Leveraging Artificial Intelligence for dynamic user experience personalization: A multi-domain analysis

Prabhakaran, Sindhu (2025) Leveraging Artificial Intelligence for dynamic user experience personalization: A multi-domain analysis. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 1402-1409. ISSN 2582-8266

This article examines the transformative role of artificial intelligence in creating dynamic, personalized user experiences across multiple domains. It explores how AI has evolved from rudimentary rules-based approaches to sophisticated systems capable of real-time adaptation based on user behavior, contextual factors, and predictive modeling. Through case studies spanning e-commerce, financial technology, and media production, the article illuminates the architectural frameworks, methodological approaches, and empirical outcomes of advanced personalization systems. A leading e-commerce platform's implementation demonstrates how modular content frameworks and sophisticated uncertainty handling create cohesive personalized experiences throughout the customer journey. A fintech provider's application illustrates how AI personalization principles transform compliance processes in regulated industries through contextually aware risk assessment. A major media corporation's incident management system exemplifies the extension of personalization to internal operational workflows, showing how adaptive AI enhances efficiency and reduces cognitive load for technical teams. The article identifies emerging patterns in successful implementations, including real-time adaptability, contextual awareness, and ethical considerations that collectively form a framework for effective AI-driven personalization in digital environments.