Eric Moriarty

Inside the reverse logistics education gap and the economic blind spot keeping it invisible Special Guest Blog Post written by Deborah Dull   Tony Sciarrotta has been asking the same question at industry conferences for years. As the Senior Director of Circularity and Reverse Logistics at the National Retail Federation, he knows what answer he’s going to get. But he keeps asking anyway. “Anybody in here go to school for returns management, reverse logistics, circularity? Any degrees in those fields the room?” It’s rare that anyone raises their hand. “That’s what’s wrong with our industry,” Sciarrotta told me at NRF Rev this January, the first conference under NRF’s new reverse logistics banner. “We still need to fix it.”   The Numbers That Should Make Headlines Here’s what makes reverse logistics so fascinating: the scale is staggering, but the infrastructure to support it needs to be stronger. According to the National Retail Federation, American retailers processed approximately $890 billion in returns in 2024 which is roughly 17% of all retail sales – and it’s higher for ecommerce. But that number almost certainly understates reality. “We have a fragmented industry,” Sciarrotta explained. “Where are all those returns going? It has to be…

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…