Syracuse University, Syracuse, NY.
World Journal of Advanced Engineering Technology and Sciences, 2025, 16(03), 598-606
Article DOI: 10.30574/wjaets.2025.16.3.1401
Received on 15 August 2025; revised on 17 September 2025; accepted on 19 September 2025
The integration of intelligent workflow automation into Customer Relationship Management (CRM) platforms is revolutionising how enterprises manage real-time customer interactions and order fulfilment. This review explores the architecture, experimental outcomes, and theoretical frameworks behind CRM-powered automation systems designed to deliver proactive alerts and workflow orchestration. Drawing from a decade of research and field studies, it highlights how AI, machine learning, robotic process automation (RPA), and real-time event streaming have transformed traditional CRM into a real-time decision engine. The review further outlines experimental benchmarks and future trends such as context-aware workflows, federated learning, conversational AI, and low-code orchestration. Together, these innovations promise a more scalable, intelligent, and human-centric CRM ecosystem. For instance, real-world deployments have reported significant gains, with AI-driven customer data platforms increasing conversion rates while saving hundreds of manual work hours, demonstrating the tangible impact of intelligent workflow automation at scale.
CRM automation; Intelligent workflows; Real-time alerts; Proactive order management; AI in CRM; RPA; Machine learning; Customer experience; Federated learning; Low-code automation
Preview Article PDF
Pradeep Raja. Intelligent Workflow Automation in CRM for Real-Time Alerts and Proactive Order Management. World Journal of Advanced Engineering Technology and Sciences, 2025, 16(03), 598-606. Article DOI: https://doi.org/10.30574/wjaets.2025.16.3.1401.