A Comprehensive Review: Enhanced Customer Centric Predictive Analysis in E-Commerce

Predicting customer behavior with precision is crucial for businesses to make well-informed decisions, enhance customer experiences, and stimulate growth. This panoramic survey examines various predictive modeling techniques employed to examine and forecast customer behavior patterns. Surveying the strengths, weaknesses, applications, and real-world case studies of these models, offers valuable perspectives for researchers, practitioners, and decision-makers seeking to leverage data-driven approaches. Additionally, we discuss emerging trends, implementations and future research avenues in this swiftly advancing domain.

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Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1109/idciot64235.2025.10915119
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive Review: Enhanced Customer Centric Predictive Analysis in E-Commerce

Maneet Kaur, Srihari Gubbala
Customer churn and segmentation
article

A Comprehensive Review: Enhanced Customer Centric Predictive Analysis in E-Commerce

Maneet Kaur, Srihari Gubbala
article en

Abstract

Predicting customer behavior with precision is crucial for businesses to make well-informed decisions, enhance customer experiences, and stimulate growth. This panoramic survey examines various predictive modeling techniques employed to examine and forecast customer behavior patterns. Surveying the strengths, weaknesses, applications, and real-world case studies of these models, offers valuable perspectives for researchers, practitioners, and decision-makers seeking to leverage data-driven approaches. Additionally, we discuss emerging trends, implementations and future research avenues in this swiftly advancing domain.

Lovely Professional University (IN)
Openalex Percentile: Top 95%
Customer churn and segmentation
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