Donald Frieson

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…

Special Guest Blog Post written by Jeff Echel and Steve Lykken with e2open   Supply chain planners in high-tech don’t just manage shipments; they’re crisis managers, data detectives, and sometimes, referees in a high-stakes game of inventory tug-of-war. Why do these planners find themselves huddled in “war rooms,” surrounded by spreadsheets and urgent emails? It starts with relentless pressure: customers expect rapid, reliable service, but the reality is a maze of long lead times, outsourced manufacturing, and unpredictable global logistics. Securing critical components can take months, and a single misstep, like overstocking or missing a shipment, can ripple through the business, impacting revenue and margins. The chaos: War rooms and spreadsheet battles Add to that, the complexity of forecasting demand. Planners reconcile noisy, inconsistent data from retailers and distributors, often with little visibility, into . Forecasts are built, torn down, and rebuilt, sometimes manually, as teams try to align bottom-up channel data with top-down financial targets. Meanwhile, supply plans are constantly threatened by shortages, excess inventory, and last-minute changes. When demand surges or supply is disrupted, channels compete for limited stock, sometimes “stealing” from each other, and sometimes winning simply by being the loudest voice in the room. All of…