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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50386
Volume:
9 |
6 |
Jun 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.
This study explores how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing e-commerce marketing on Facebook. It investigates applications such as personalized advertising, dynamic ad optimization, chatbots, predictive analytics, and the automation of marketing processes. Using a mixed-methods approach involving surveys, case studies, and secondary data analysis, the research highlights the tangible impact of AI/ML tools on enhancing customer engagement, improving ROI, and streamlining operations. Case studies of companies like Sephora, ASOS, and Wish demonstrate significant gains in performance and targeting efficiency, while also identifying challenges like data privacy and algorithmic bias
KEYWORDS
Publication Date
6/13/2025
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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