Ramiro Fernandez

At Manifest 2026, Scott Luton caught up with Marina Mayer, Editor-in-Chief of Food Logistics and Supply & Demand Chain Executive, and Co-Founder and Content Director of the Women in Supply Chain Forum, for a conversation that cut through the tech buzz and landed squarely on what matters most: people. Marina leads two influential digital publications covering the full spectrum of supply chain — from temperature-controlled cold chain logistics to e-commerce and retail — along with four major industry awards programs and the rapidly growing Women in Supply Chain Forum, now entering its fifth year. But amid all the innovation on display in Las Vegas, her message was refreshingly grounded.   Disruption Is the Baseline. Proactivity Is the Shift When asked about dominant themes shaping the industry, Marina didn’t hesitate. One common theme linking 2025 and 2026 is that “disruptions obviously still exist,” she said. From tariffs to trade wars to Mother Nature, the hits keep coming. What’s different in 2026 isn’t the disruption itself; it’s the response. Instead of dwelling on what’s gone wrong, companies are getting proactive. Leaders are “acting on it and being proactive about getting in front of it,” she noted. Since COVID, organizations have learned that…

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…