R “Ray” Wang

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.

A Legacy Behind the Mission At Manifest 2026 in Las Vegas, Scott Luton sat down with Stefan Groschupf, CEO & Founder of Centrum AI, to discuss how a new generation of technology is being purpose-built for today’s supply chain realities, rather than yesterday’s assumptions. What began with a lighthearted joke about multivitamins quickly turned personal. When Scott quipped that “Centrum” reminded him of a vitamin from the eighties and nineties, Stefan shared the real inspiration behind the name. “My dad… the biggest building he constructed was called Centrum,” he explained. “That was the inspiration. His legacy, a head nod to him.” For Stefan, the company name represents more than branding; it reflects a mission rooted in impact and responsibility.   Designing for Today’s Reality “We’re building a new tech platform for the supply chain industry that is really built on the foundation of the reality today,” Stefan said. That reality includes uncertainty, dirty data, data silos, and geopolitical shifts that are reshaping global trade. He offered a simple example: in many ERP systems, a lead time is entered as a fixed number — say 15 days. “That’s of course nonsense,” Stefan noted. “It’s anywhere between nine days and 18 days……