AI-Powered Customer Behavior Analysis: Predicting Behavior and Personalizing Experiences Using Real-Time Machine Learning

In today's rapidly evolving digital landscape, businesses are striving to provide more personalized experiences to customers. The advancement of machine learning (ML) and artificial intelligence (AI) has made it possible to go beyond traditional customer segmentation and craft hyper-personalized experiences in real-time. This research explores how AI-powered customer behavior analysis and personalization can enhance customer engagement, improve satisfaction, and drive sales by predicting individual customer behavior using machine learning models.

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Publication Details

Journal
International Journal for Research Publication and Seminars
Published
2025-03-30
DOI
https://doi.org/10.36676/jrps.v16.i1.53
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Customer Behavior Analysis: Predicting Behavior and Personalizing Experiences Using Real-Time Machine Learning

D. Kumar
International Journal for Research Publication and Seminars
Systems Engineering Methodologies and Applications
article

AI-Powered Customer Behavior Analysis: Predicting Behavior and Personalizing Experiences Using Real-Time Machine Learning

D. Kumar
article en

Abstract

In today's rapidly evolving digital landscape, businesses are striving to provide more personalized experiences to customers. The advancement of machine learning (ML) and artificial intelligence (AI) has made it possible to go beyond traditional customer segmentation and craft hyper-personalized experiences in real-time. This research explores how AI-powered customer behavior analysis and personalization can enhance customer engagement, improve satisfaction, and drive sales by predicting individual customer behavior using machine learning models.

International Journal for Research Publication and SeminarsVol. 16(2)
Periyar University (IN), Sharda University (IN)
Openalex Percentile: Top 94%
Systems Engineering Methodologies and Applications
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