The future of supply chain is entering a defining chapter, and today, we dig into the signals, shifts, and strategic decisions shaping what’s ahead in 2026. From ongoing trade volatility and labor disruptions to the accelerating role of AI and integrated planning, this episode cuts through the noise to focus on what leaders must prepare for now. Welcome to The Buzz, powered by EPG! Listen in as hosts Scott Luton and Karin Bursa break down the most important developments influencing global supply chains — and how leaders can build resilience in the face of constant disruption. They’re joined by special guest Alex Pradhan, Founder of Alchemy Advisors, who brings practical perspective on how organizations are adapting strategy, technology, and decision-making for what’s next. Together, they discuss: Why systemic disruptions — from trade policy shifts and labor unrest to natural disasters — are no longer exceptions, and how leaders must rethink resilience as a core capability Key predictions for 2026, including the normalization of tariff impacts, a potential U.S. manufacturing boom, and the continued maturation of integrated business planning How AI is moving beyond experimentation to accelerate decision-making, supported by a real-world case study from a major beauty brand using AI…

In this new episode of Supply Chain Now, data is king! Join hosts Scott Luton and Mary Kate Love as we take a dive deep into supply chain analytics with Tom Butt, Senior Manager of Customer Success at EasyPost. With nearly 15 years of experience, Tom provides insights into leveraging data for extraordinary outcomes, discussing real-time analytics, cloud storage, and the future of supply chain technology. Listen in and learn: Examples of real-time analytics impacting supply chain decisions How to aggregate data across sources for a comprehensive view How to assess and prioritize key metrics How to use data to drive sustainability and efficiency in supply chains Tune in to learn how to enhance your supply chain operations and delight your customers with modern data analytics.