Authors: Gaganjot Bajwa
Abstract: The increasing demand for seamless and personalized customer experiences has driven enterprises to adopt omni-channel engagement strategies that unify communication across digital, mobile, and traditional platforms. Salesforce has emerged as a leading enabler of such strategies, particularly with the integration of artificial intelligence through its Einstein platform. These AI-driven capabilities enhance omni-channel operations by enabling predictive insights, intelligent routing, conversational AI, and real-time personalization. However, the success of such systems depends on the underlying IT infrastructure. Hybrid environments that combine on-premises Unix/Linux systems with private and public cloud platforms provide the scalability, reliability, and flexibility required to support AI-enhanced customer engagement. This review examines the integration of Salesforce AI-driven omni-channel features with hybrid Unix/Linux infrastructures, highlighting frameworks, automation, and security considerations that enable seamless interoperability. Case studies from industries such as finance, healthcare, and retail illustrate the tangible benefits of this integration, while also identifying challenges related to complexity, compliance, and operational costs. Future trends point toward advancements in generative AI, edge computing, and zero-trust security frameworks, which will further enhance resilience and responsiveness in omni-channel CRM. The findings underscore the importance of aligning AI-powered Salesforce capabilities with robust hybrid infrastructures to achieve customer-centric operations that are scalable, secure, and adaptive to evolving enterprise needs
DOI: http://doi.org/10.5281/zenodo.17365436
