Machine learning is transforming supply chain management by enabling businesses to make faster, data-driven decisions in an
increasingly complex and volatile market. By analyzing vast amounts of historical and real-time data, ML helps companies improve demand
forecasting, ensuring better alignment between supply and customer needs while reducing stockouts and overstocking. It also plays a
critical role in optimizing inventory by balancing stock levels, cutting down holding costs, and enhancing overall efficiency. Supplier
evaluation is another area where ML proves invaluable, as it helps assess pricing trends, delivery performance, and quality metrics to
identify the most reliable partners. Additionally, logistics and transportation benefit significantly from ML-driven route and schedule
optimization, reducing fuel costs and improving delivery times. By integrating machine learning into supply chain operations, businesses
can enhance agility, reduce inefficiencies, and gain a competitive edge in an increasingly dynamic market.
Virtual: https://events.vtools.ieee.org/m/475810