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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47845
Volume:
9 |
5 |
May 2025
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.
Artificial Intelligence (AI) is revolutionizing e-commerce by enhancing businessesâ ability to predict customer behavior. AI-driven methodologies, including machine learning, predictive analytics, and data mining, provide businesses with advanced insights into consumer purchasing patterns, preferences, and engagement trends. By leveraging these technologies, companies can improve customer experience through personalized recommendations, optimized inventory management, and targeted marketing campaigns. However, challenges such as data privacy concerns, algorithmic biases, and ethical dilemmas must be addressed to ensure responsible AI implementation. This research explores how AI-driven customer behavior prediction contributes to business growth while maintaining ethical considerations and customer trust.
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Publication Date
4/12/2025
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.
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