Richard Sharpe

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…

In today’s increasingly complex global supply chain landscape, Tom Moore keeps his message refreshingly straightforward: ProvisionAI helps large companies discover hidden costs and eliminate them. Organizations such as Procter & Gamble, Nestlé, and Unilever have leveraged the company’s technology to uncover and eliminate inefficiencies—particularly in transportation and warehousing—that traditional systems fail to detect. The outcome is significant and often delivers immediate savings. But Moore believes many of these problems stem from misunderstandings about the very technologies companies rely on.   Misnamed Systems & Misaligned Expectations Before the interview officially began, Moore reflected on the surprisingly inaccurate names assigned to modern supply chain technologies. ERP systems rarely plan resources across the enterprise, despite what their name suggests. Warehouse Management Systems, while certainly used in warehouses, don’t actually “manage” much at all. People behind keyboards still make most of the critical decisions. This disconnect in terminology shapes faulty expectations. Many organizations believe their planning systems will truly plan the supply chain, yet most tools merely react to demand signals. If ABC Company orders ten cases, the system automatically replenishes—without considering warehouse capacity, transportation availability, downstream implications, or cost-to-serve. Moore characterizes this as both an old problem and a new one, and it…