AI in Logistics and Supply Chain Optimization

The incorporation of Artificial Intelligence (AI) technologies is causing a paradigm shift in the logistics and supply chain industry. The shortcomings of conventional supply chain models have been made clear by globalization, growing consumer expectations, and unanticipated disruptions like the COVID-19 pandemic. Through applications like demand forecasting, route optimization, warehouse automation, predictive analytics, and real-time tracking, artificial intelligence (AI) becomes a transformative enabler that improves agility, efficiency, and resilience. AI promotes sustainability by lowering waste and resource consumption in addition to increasing operational performance and cutting expenses. This study examines the development, current uses, and prospects for the future of artificial intelligence (AI) in supply chain optimization and logistics, stressing both the technology's possible advantages and the obstacles to its broad adoption, such as implementation costs, data security issues, and the requirement for specialized knowledge. In the end, the study emphasizes AI's contribution to the development of intelligent, resilient, and future-ready supply networks that can provide a competitive edge in a world market that is changing quickly.