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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51419
Volume:
9 |
7 |
Jul 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.
The rapid advancement of artificial intelligence (AI) has fundamentally reshaped the landscape of e-commerce, offering businesses powerful tools to understand and respond to consumer needs with unprecedented precision. This paper explores how AI technologies—such as machine learning, recommendation systems, and chatbots—are influencing customer behavior and engagement across digital platforms. Through a critical analysis of recent developments, the study highlights the role of predictive analytics in personalizing the shopping experience, improving customer satisfaction, and driving purchasing decisions. The research also addresses emerging challenges, including data privacy concerns and the ethical use of AI in consumer interactions. By rethinking traditional engagement models, this paper presents a forward-looking perspective on how AI can create more adaptive, intelligent, and customer-focused e-commerce ecosystems.
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Publication Date
7/18/2025
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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