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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56001
Volume:
10 |
1 |
Jan 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research explores how predictive analytics enhances personalization strategies and increases customer engagement in omni-channel retail. As consumer expectations evolve, omni-channel retailers leverage predictive models to deliver seamless, tailored experiences across channels and touchpoints. The study investigates predictive analytics adoption, customer perceptions, and engagement outcomes, using empirical data to validate hypothesized relationships. Findings show that predictive analytics significantly improves personalization quality and customer engagement, ultimately influencing customer satisfaction and loyalty.
KEYWORDS
Publication Date
11/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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