International Journal of Science, Engineering and TechnologyAuthors: Charanjit Virk
Abstract: The evolution of enterprise application infrastructures has led to the adoption of multi-layered architectures that integrate Apache Tomcat, IBM WebSphere, and Salesforce AI bots. This review examines how these components collectively enable high-performance, resilient, and AI-driven CRM operations across hybrid environments. Apache Tomcat provides a lightweight, scalable platform for web applications, while WebSphere ensures enterprise-grade middleware reliability, transaction management, and legacy system integration. Salesforce AI bots enhance CRM workflows through predictive analytics, automated customer engagement, and real-time orchestration. The review explores deployment strategies, performance optimization, monitoring, security, compliance, and industry-specific applications. Case studies from financial services and healthcare illustrate operational benefits, including reduced latency, improved workflow efficiency, and enhanced customer satisfaction. Challenges such as technical constraints, organizational readiness, and resource planning are also analyzed. Emerging trends, including AI-augmented infrastructure management, cloud-native integration, and DevOps alignment, highlight future directions for scalable, automated, and intelligent enterprise infrastructures. By synthesizing best practices, lessons learned, and technological advancements, this review provides a comprehensive framework for organizations seeking to optimize multi-layered hybrid infrastructures while leveraging AI-enhanced CRM capabilities.
DOI: https://doi.org/10.5281/zenodo.17521958
