Sarcouncil Journal of Multidisciplinary

Abstract: Digital transformation challenges are of unprecedented intensity in the retail business, which requires advanced technological solutions to deal efficiently with enterprise data workloads. The combination of artificial intelligence and multi-cloud architecture builds strong synergies that transform the process of distribution of resources, performance optimization, and customer experience for organizations operating in the retail sector. Multi-cloud strategies are not only performed to remove dependencies with vendors, but also utilize specialized capabilities of various cloud providers to fulfill various business needs. With AI-powered systems, dynamic allocation of workloads, proactive allocation of resources, and intelligent decision-making can be achieved, which greatly enhances operational efficiency. The outcomes of the implementation show that significant cost savings have been achieved, as well as improved system performance and customer satisfaction of different segments of the retail population. AI algorithms are used to optimize the network to achieve minimum latency and the highest throughput to the customer-facing applications. The ability to run machine learning that accesses large amounts of data in a variety of sources is useful in supply chain optimization to coordinate complex logistics functions. Such convergence of technologies is the paradigm shift to autonomous, self-optimizing retail infrastructure responsive to the changing market conditions and customer needs.