In this episode of Fintech Conversations, Lucas and Luna explore how fintechs are using real-time supply chain data—shipment tracking, port congestion, and inventory levels—to underwrite dynamic trade credit for importers and exporters. They dive into a specific case: a mid-sized furniture importer that used real-time shipping data to secure a credit line adjustment mid-quarter, avoiding a costly delay. The hosts break down the mechanics—how sensors, IoT, and platform APIs feed into credit models—and discuss the shift from static annual reviews to dynamic, event-driven lending. They also touch on the risks: data quality, privacy, and the danger of over-reliance on real-time signals. With practical insights for operators and builders, this episode offers a fresh angle on the intersection of logistics and finance.