Leveraging AI-Powered Automation in Cloud-Integrated Supply Chains: Enhancing Efficiency, Transparency, and Strategic Decision-Making in Management

Abstract

Advances in Artificial Intelligence (AI) and cloud computing have led to transformative shifts in supply chain management, offering enhanced efficiency, transparency, and strategic insights. This paper investigates the integration of AI-driven automation within cloud-based supply chain architectures and examines its impact on operational performance, decision-making accuracy, and resilience. Drawing upon recent data from industry reports, surveys, and global logistics firms, we present a comprehensive analysis of current trends, frameworks, and best practices. Our findings suggest that AI-empowered, cloud-integrated supply chains can reduce lead times, optimize inventory management, improve forecasting accuracy, and ensure greater supply chain resilience against disruptions. Additionally, we demonstrate how real-time analytics and collaborative platforms drive strategic decision-making and stakeholder engagement. The paper concludes by outlining managerial implications, challenges to widespread adoption, and future research avenues, thereby providing a roadmap for organizations aiming to deploy next-generation supply chain management strategies.