Vanessa Wieners

At the Gartner Supply Chain Planning Summit in Denver, Scott Luton caught up with Rob Haddock, a seasoned supply chain practitioner and advisor with Demand Chain AI, to discuss the persistent planning challenges organizations face—and why maturity, discipline, and optimization still matter more than buzzwords. Demand Chain AI blends consulting services with advanced supply chain technologies, focusing on optimization across trade promotion management, demand sensing, supply planning, and detailed production scheduling. Haddock’s role centers on helping organizations strengthen business processes—particularly sales and operations planning (S&OP), performance reporting, and the practical application of technology to improve execution on both the demand and supply sides.   A Practitioner’s Perspective on Planning Gaps Haddock’s perspective is shaped by decades spent inside large, sophisticated supply chain organizations. Early in his career, he worked within an iconic, global beverage company where advanced planning environments were already in place—though, in hindsight, he admits those tools were sometimes underutilized. Today, Haddock spends much of his time working with small and mid-sized organizations that haven’t been as fortunate. In many of these environments, planning maturity is still low, foundational practices are missing, and—unsurprisingly—Excel remains the primary planning tool. “Basic business practices that have been around since the 1990s…

When service levels slip, most organizations respond the same way: add more inventory. A little extra safety stock here, a buffer there, and to many businesses, that feels like the safest path forward. But it rarely works. Instead of solving the problem, businesses end up with bloated inventory in one location and stockouts in another. Working capital climbs, service is still inconsistent, and planners are stuck reacting rather than improving outcomes. It’s like trying to fix traffic by adding more cars to the road, and congestion just gets worse. This is the inventory trap: chasing service by piling up stock instead of managing it strategically.   What is Multi-Echelon Inventory Optimization? Multi-Echelon inventory optimization (MEIO) helps you put the right inventory in the right places across your network to hit service goals with less total stock. Instead of optimizing each site in isolation, MEIO looks at your entire network of plants, distribution centers, suppliers, and customers as one connected system.   The three most common inventory issues businesses face At its core, MEIO answers three questions every supply chain leader is asking: Where should we hold inventory? Not every location needs the same level of protection. MEIO determines the most…