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In this episode of Paradigm, we sit down with Jonathan, CEO at FTR (Freight Transportation Research), a 24-year veteran who helped build FreightCast — FTR’s decades-long transportation demand model. We dig into why freight demand doesn’t follow GDP, how forecasting handles “black swans” (tariffs, pandemics, natural disasters), and why clients now want raw data, APIs, and eventual AI tools, not just reports. #ExpertParadigm #ParadigmShift 💡 Chapters 00:00 Intro 00:40 Jonathan’s 24-yr Journey 02:13 What FTR Tracks 06:21 Why Trucking Capacity Is Hard 10:54 FreightCast: The Model 12:09 GDP ≠ Freight Demand 13:04 Edge Cases: Tariffs & Disasters 14:02 Base Case & Probabilities 15:42 Scenario Modeling (“What ifs”) 16:55 Reports, Subscriptions & Data 25:40 Data Collection Process 29:04 Modernizing Data & APIs 35:14 AI’s Role & Adoption Strategy 41:12 Clients Want Raw Data & APIs 44:24 3 Big Shifts in Transport Intelligence 47:18 Custom Dashboards: CEO vs Analyst 53:27 Rapid Fire 58:22 Wrap Up 🎧 Listen if you’re passionate about: Freight forecasting | Transportation data strategy | Supply chain risk & scenario planning | Building data products for industry About Paradigm Paradigm is a podcast by Aubergine that explores transformative journeys where technology impacts human lives. Through candid conversations with visionary founders, product leaders, and innovators, we uncover stories of bringing ideas to life. 👉 Subscribe for more inspiring conversations: / @aubergine-co