David Chen

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…

Execution Is Everything At Manifest 2026, Scott Luton spoke with Aadil Kazmi, Head of AI at Infios, to discuss the next chapter of intelligent supply chain execution. Infios provides an integrated suite of supply chain execution software: order management, warehouse management, and transportation management – all running on a single data model. “When a supply chain runs on a single data model, you can make better decisions,” Kazmi explained. Fragmented systems require expensive data lakes and normalization efforts before even basic BI is possible. An integrated ecosystem simplifies intelligence from the start. For Kazmi, AI is not about flashy demos. But rather, it is about execution. The most advanced technologies mean little if companies cannot execute faster, smarter, and more resiliently in the real world.   Disruption Isn’t Going Away Reflecting on 2025, Kazmi did not sugarcoat reality. Ports closed. Trade wars escalated. Wildfires disrupted domestic production. Shipping lanes tightened. “We don’t believe that supply chain disruptions are going away anytime soon,” he said. Volatility is becoming the baseline, not the exception. But what is changing in 2026 is mindset. Kazmi describes what he calls the “Amazon effect for AI.” Just as Amazon forced retailers to rethink last-mile execution a…