AI has moved beyond experimentation and is beginning to transform how medical supply chain organizations plan, predict, and make decisions. But what does successful adoption actually look like in practice? In this interactive show-and-tell session, each panelist will share a single slide highlighting a recent AI initiative, including the business challenge, solution deployed, lessons learned, and measurable impact. Attendees will gain a firsthand look at how leading organizations are leveraging AI to improve decision-making, increase efficiency, and drive better supply chain outcomes. 

• See real-world examples of AI applications across planning, inventory management, sourcing, logistics, and operational decision-making 
• Learn the critical success factors, challenges, and change management considerations that influenced project outcomes 
• Leave with practical ideas and proven approaches for identifying, launching, and scaling AI initiatives within your own organization 

Demand planning has become increasingly challenging as the industry navigates fluctuating procedure volumes, shifting patient demand, supply disruptions, and ongoing market uncertainty. To maintain product availability while controlling costs, supply chain leaders must improve forecasting accuracy, strengthen cross-functional collaboration, and leverage more advanced planning capabilities. Join this panel of supply chain and planning leaders as they share practical strategies for building more responsive demand planning processes, improving visibility, and making better decisions in an increasingly complex environment. 

• Improve forecast accuracy by leveraging better data, analytics, and collaboration across clinical, operational, and supply chain teams
• Balance inventory, service levels, and cost while responding to changing demand patterns and ongoing disruptions
• Build more agile demand planning capabilities that enable faster, more informed decision-making