I’ve been working on a lightweight IoT prototype using M5Stack Core2 and a few external modules (GPS, Wi-Fi, ENV sensor) to monitor conditions in small-scale cargo shipments — especially for exporters in emerging markets.
But beyond just tracking temperature or location, I wanted to explore something different:
What if we could combine local sensor data with global trade data to provide context-aware analytics?
That’s where platforms like Tradeint come into play. It provides access to structured import-export data across major markets (USA, China, Japan, Korea, etc.) — including:
HS code lookups
Company-level shipment records
Trends in commodity movement over time
My concept:
Use M5Stack to collect environmental data in transit (e.g., humidity in a seafood shipment);
Periodically match that with historical trade data for similar commodities using the Tradeint API (or scraped results);
Alert the shipper if values deviate from norms or if market demand is shifting.
It’s still an early stage, but combining IoT + trade intelligence feels like a practical step for small exporters who can’t afford full-scale ERP systems.
Anyone here experimenting with supply chain or logistics-focused M5Stack projects? Would love to hear your setups, sensors, or software stacks — especially if you're integrating external data sources!
