AI-Powered Market Segmentation and Predictive Consumer Modeling

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Authors: Manoj Govindaraj, D. Anitha Kumari, P. Shakila, Jayakranth Rapoori, Jenifer Lawrence
Cited by: 0
References: 11

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 machine 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.

Fields of Study & Subjects

AI in Service Interactions Customer churn and segmentation Digital Marketing and Social Media

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
1–26
Publication date
25 February 2026
Language
EN
Document type
Book chapter