AI-Powered Market Segmentation and Predictive Consumer Modeling

Govindaraj, Manoj and Anitha Kumari, D and Shakila, P and Rapoori, Jayakranth and Lawrence, Jenifer (2026) AI-Powered Market Segmentation and Predictive Consumer Modeling. In: AI in Consumer Analytics and Strategic Branding. 1 ed. IGI Global Scientific Publishing, pp. 1-26. ISBN 979-8-3373-9963-8.

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Abstract

In an era of digital disruption and hyper- personalized marketing, the integration
of artificial intelligence (AI) into market segmentation and consumer behavior
modeling has revolutionized strategic branding. This chapter explores how ma
chine learning algorithms, particularly unsupervised clustering, neural networks,
and predictive analytics, can uncover hidden consumer patterns and dynamically
segment markets with unparalleled precision. By leveraging real- time data streams
and behavioral insights, AI empowers brands to predict consumer intent, personalize
engagement strategies, and optimize brand positioning. The chapter also addresses
the ethical considerations, challenges of data governance, and the importance of
human oversight in AI- driven marketing systems. Through illustrative case studies
and emerging frameworks, this work highlights the transformative potential of AI
in creating resilient, adaptive, and data- informed branding strategies suited for
today’s volatile and diverse consumer landscape.

Item Type: Book Section
Subjects: Management Studies > Marketing Management
Domains: Management Studies
Depositing User: Mr IR Admin
Date Deposited: 03 Sep 2026 06:08
Last Modified: 10 Sep 2026 07:50
URI: https://ir.vistas.ac.in/id/eprint/22420

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