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.
Authors
- Maneet Kaur (ORCID: https://orcid.org/0000-0002-1923-6705)
- Srihari Gubbala
Institutions
- Lovely Professional University (IN)
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