Dwight Jacobs

Supply chains today are drowning in data but still struggling to answer critical questions. Inventory is visible but not always explainable. Lead times exist in the system, but don’t always reflect reality. Improvement opportunities are identified, yet often fail to translate into action. In this white paper, explore four common challenges that prevent organizations from turning supply chain data into better decisions, and learn where AI can provide real value by improving diagnostics, prioritizing action, and uncovering patterns across complex operations. What You’ll Learn Where AI really improves supply chain outcomes and where it doesn’t How to turn “visible” inventory into something you can actually explain and act on Why many AI initiatives fail and what it takes to drive real impact How to spot hidden inefficiencies in lead times, planning settings, and governance Download the White Paper Discover how leading organizations are moving beyond dashboards to create greater visibility, stronger alignment, and more effective supply chain decisions.

When healthcare supply chains break down, the consequences are measured in more than missed delivery windows or higher procurement costs. They can show up as delayed procedures, frustrated clinical teams, wasted inventory, and, most importantly, compromised patient care. That urgency is at the center of a new Supply Chain Now conversation featuring Mark Holmes, Head of Global Supply Chain Market Strategy at InterSystems, and Michael LaRocca, Founder and CEO of Ready Computing. Together, they explore why healthcare organizations need a new level of supply chain intelligence—and how integrated data, automation, and AI can help hospitals move from reactive problem-solving to proactive orchestration. Why Healthcare Supply Chain Disruption Is Different In retail, a stockout may mean a customer chooses a different store. In healthcare, a missing item can mean a surgery is delayed or canceled. As Holmes puts it in the episode, not having the right product at the right time for the right procedure is a fundamentally different kind of failure—one that affects lives, outcomes, and hospital economics all at the same time. The business impact is significant. Holmes notes that globally, procedure cancellations related to supply availability can average around 10%, with some regions experiencing even higher rates. A…