Andersen Yu

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.

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…