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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM50547
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.
Todayâs economy is hyper-connected and customers expect brands to understand their preferences, anticipate their needs, and engage with relevance at every interaction. The challenge lies not only in delivering personalized experiences, but in doing so consistently across a growing number of channels, like web, mobile, email, social, and in-store, at scale. Traditional marketing automation tools, that are built for static segmentation and rule-based triggers, are no longer sufficient in addressing the complexity and speed of modern consumer behavior. To meet these rising expectations, organizations are increasingly turning to AI-powered solutions that allow for real-time, contextually aware, and adaptive engagement. This shift toward AI-driven omnichannel personalization is a transformative change in how businesses build relationships with their audiences, moving from reactive messaging to proactive, predictive engagement. Salesforce Agentforce emerges as a solution within this new paradigm. Designed to unify data, intelligence, and orchestration, Agentforce uses Salesforceâs Data Cloud, Einstein AI, and Marketing Cloud to allow for real-time personalization at scale. By integrating advanced capabilities such as predictive analytics, natural language understanding, and real-time decisioning, Agentforce gives brands the ability to deliver seamless, personalized experiences that drive loyalty, conversion, and long-term customer value.
KEYWORDS
Publication Date
6/18/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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