Andrew Vaughan

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 Dr. Johannes Hangl with e2open   AI is no longer an experiment in global trade compliance. It’s already being applied in product classification, document-to-declaration workflows, risk targeting, and sanctions screening. At the same time, regulators and customs authorities are adopting AI themselves. This is raising expectations for data quality, transparency, and governance across the entire trade ecosystem. With the EU AI Act set to apply from August 2026, companies that have not yet implemented human-in-the-loop controls, drift monitoring, and defensible audit trails are running out of time to close the gap.   Where AI is already adding real value today: HS and ECN classification   Product classification has become one of the most practical AI use cases. Modern tools can now suggest harmonized system (HS/ HTS) and export control (ECCN) codes, explain the rationale, and attach confidence scores and audit metadata to each decision. This direction mirrors what customs authorities are doing. Administrations such as German Customs have discussed using machine learning to improve targeting and risk detection. It appears both sides of the border are moving toward data-driven decision support. AI does not remove accountability. It changes how accountability is exercised.   Practical…