globusjournal

The rapid evolution of Artificial Intelligence (AI) has transformed the landscape of consumer engagement, enabling businesses to deliver highly personalized experiences based on rich data insights. This study explores the strategic role of AI in bridging the gap between data analytics and enhanced consumer experiences, focusing on its implications for personalization, customer loyalty, and competitive advantage. Drawing from an interdisciplinary framework that integrates marketing psychology, consumer behavior theory, and AI-driven data modeling, the research examines how machine learning algorithms, natural language processing, and predictive analytics translate vast volumes of consumer data into tailored marketing interventions. The study highlights the dual benefits of AI-powered personalization: improved customer satisfaction through relevant, timely, and context-specific interactions, and enhanced organizational performance through data-informed decision-making. It addresses critical challenges including data privacy, algorithmic transparency, and ethical considerations in personalization practices. This research underscores that the strategic integration of AI in personalization is not merely a technological upgrade but a paradigm shifts in the way organizations connect with and retain their customers in the digital economy.

Keywords: Artificial Intelligence (AI), Personalization, Data Analytics, Consumer Experience, Predictive Analytics, Customer Engagement, Marketing Strategy, Consumer Behavior.