John McKay

Back in the day, business news and ideas often flowed from office watercooler conversations. Then company figureheads started popping up on cable TV news programs, lecturing on stock market drops, trade increases, industry gains, and, during the COVID-19 pandemic, supply chain shortfalls. Now, podcasts are all the rage, and it can be difficult to stand out in a crowded field. There’s a lot of noise in supply chain podcasts, in particular. How do you break through to share your supply chain insights with potentially millions of listeners? Supply Chain Podcasts: Meeting Industry Leaders Where They Are It’s said that public radio host Christopher Lydon used an audio RSS feed developed by software engineer Dave Winer to provide audio content of interviews on his blog in 2003. A year later, iPodder was created to enable users to download audio content to their iPods, and the word podcast was born. This year, the number of podcast listeners is forecast to reach a whopping 254.3 million. Podcasts have become the place for industry leaders to find an eager audience. Breaking Through: 3 Ways Supply Chain Podcasts Cut Through the Noise Today, there are thousands of podcasts that are touted as supply chain-focused. In…

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…