Architecting an enterprise IoT telemetry engine tracking 1.2M+ global cargo containers with predictive ETA algorithms and cold-chain sensor monitoring.
A major maritime cargo carrier lacked real-time visibility into refrigerated container telemetry, leading to cargo spoilage claims and inaccurate customs arrival estimates.
PRIMESOFTWARE deployed an AWS IoT Core ingestion pipeline streaming temperature, GPS, and shock sensor data into a high-speed Go and TimescaleDB analytics backend.
Predictive alerts eliminated cold-chain spoilage incidents by 94%, while live AI arrival estimates improved port unloading turnaround by 25%.
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