Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{185874,
        author = {Dr. Kumar Raja N.P.},
        title = {Artificial Intelligence and Predictive Modeling in Shaping Hyper-Personalized Consumer Experiences: An Empirical Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3594-3596},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185874},
        abstract = {In today’s digital economy, consumer expectations are evolving rapidly, driven by personalized experiences powered by artificial intelligence (AI). This study investigates how AI-powered predictive analytics influence consumer satisfaction, engagement, and loyalty. Using a mixed-methods approach, we surveyed 312 consumers and conducted cluster and regression analyses to assess how AI trust, personalization levels, and ethical concerns impact brand loyalty. The study found that while consumers appreciate hyper-personalization, ethical concerns such as privacy and algorithmic bias still moderate their trust. Our findings offer a framework for implementing predictive personalization strategies with ethical integrity, critical for marketers in AI-driven economies.},
        keywords = {},
        month = {December},
        }