Scaling AI and Cloud Overcoming Supply Chain Challenges

Abstract

The coupling of Artificial Intelligence (AI) and cloud computing has fundamentally changed how organizations operationally function as part of a modern supply chain. Because supply chains are becoming more driven by data and decentralized worldwide, the necessity for agile, predictive, energy-efficient systems has only grown. The aim of this review paper is to examine the revolutionary capabilities of cloud-enabled AI frameworks for traditional and emergent challenges in supply chains. It investigates lightweight AI models tailored for small and medium enterprises (SMEs), intelligent cloud systems for predictive resource management, and hybrid cloud infrastructures that optimize both scalability and security. The paper also discusses integration barriers, including cost governance, interoperability, and regulatory compliance. This review draws numeric themes and use cases from recent research articles about cloud-enabled AI capabilities primarily in the manufacturing and logistics sectors while showcasing visual and graphical representations to illustrate the changing landscape. Therefore, the findings outlined in this review suggest organizations capable of scaling and utilizing AI-enabled cloud paradigm affordances are better positioned to create operational resiliency, adapt/enact changes to market variability, and create sustainable, ongoing practices in the supply chain landscape.