A global supply chain carrier required real-time telemetry processing across 45,000 active cargo vehicles sending GPS, temperature, and status pings every 5 seconds. Legacy batch ETL pipelines were delayed by up to 6 hours, causing route inefficiencies and delayed anomaly alerts.
Haldane Data Engineering Labs designed a distributed Apache Kafka cluster coupled with ClickHouse analytical storage and automated Python ML anomaly detectors. Pings are validated, transformed, and queried within 40 milliseconds, pushing live WebSocket map updates directly to dispatch controllers.