“Al Personalization on Purchase Intention”

Abstract

ABSTRACT In today’s digital-first economy, Artificial Intelligence (AI) is not merely a tool but a transformative force revolutionizing the way consumers interact with online platforms. This study, titled “An Analysis of the Impact of AI Personalization on Consumer Purchase Intention in Online Retail Platforms,” critically examines how AI-driven personalization techniques—such as predictive recommendations, real-time dynamic pricing, tailored content, and conversational interfaces—affect consumer psychology, behavior, and decision- making in the context of e-commerce. With the growing demand for convenience, relevance, and personalized shopping experiences, AI personalization has become a strategic differentiator for leading online retailers. This research explores the direct and indirect influences of such personalization on consumer trust, engagement, satisfaction, and purchase intention. A mixed-method approach was employed, comprising primary data through structured surveys and secondary insights from academic literature, industry reports, and platform analytics. The results indicate a strong positive correlation between AI personalization and consumer purchase intention, particularly among digitally savvy demographics. Users reported higher satisfaction, greater emotional connection, and increased likelihood of repeat purchases when interacting with personalized content. However, the study also uncovers critical challenges—especially around data privacy, algorithmic transparency, and personalization fatigue—that may hinder long-term consumer trust. This research offers valuable strategic insights for marketers, digital retailers, and AI developers, emphasizing the need to blend technological precision with ethical design. It concludes that when executed responsibly, AI personalization can serve as a powerful catalyst for deeper consumer relationships, enhanced loyalty, and sustained growth in the competitive online retail landscape.