Artificial Intelligence and Business Analytics for Flexible Supply Chain Management

The transformation of supply chain management has been made possible by this revolution as well as developments in artificial intelligence (AI) and business analytics. A careful balancing act between efficiency and flexibility is necessary for such integration. The goal of this project is to investigate how AI-driven technologies, including automation, machine learning, predictive analytics, and the Internet of Things, might improve supply chains' perception, reaction, and adaptation to changing market conditions. This study highlights the ways AI-powered supply chains achieve cost efficiency, resilience, and agility by leveraging Dynamic Capabilities Theory and organizational flexibility models. Case studies of companies like Amazon, Walmart, and Tesla effectively illustrate AI's ability to drive real-time decision-making, automation-based efficiencies, and flexible supply chain strategies. Nevertheless, despite the transformative potential of AI, there are a number of obstacles that must be resolved. These encompass the seamless integration of technology, data security, and workforce adaptability. The results indicate that artificial intelligence is essential for the successful operation of modern, adaptable supply chain management, enabling businesses to prosper throughout periods of uncertainty. To further enhance supply chain flexibility and performance, future research should examine AI’s role in autonomous supply networks, human- AI collaboration, and governance frameworks.