How a Vehicle OEM Built a Smarter Mining System Using Condense. No Infrastructure Required

Mining operations don’t resemble typical fleet environments. There are no fixed routes, no standard traffic signals, and no predictable terrain. Vehicles move dynamically based on excavation progress, shift changes, and equipment availability. In such a high-cost, low-tolerance environment, operational misalignment costs time, fuel, and safety. 

A leading truck OEM, already known for building high-specification vehicles for such environments, realized that hardware alone couldn’t solve the coordination problem. They needed to digitize the movement of equipment, align driver instructions in real time, and continuously improve site workflows. 

But they had no appetite for managing Kafka pipelines, cloud clusters, or operational patching. Their goal was to work at the use case layer, not the infrastructure layer. 

That’s where Condense came in. 

With Condense already deployed on the OEM’s cloud for vehicle data centralization, it was extended to handle site-wide streaming orchestration. Condense ingested data from seven different systems, ranging from on-vehicle CAN data to terrain-monitoring sensors and delivered enriched events to the application layer. The OEM’s engineering teams used this to build coordination logic, trip alignment tools, and terrain feedback dashboards. 

Critically, the OEM deployed zero infrastructure to do this. Condense owned the Kafka layer, managed ingestion connectors, performed upgrades, and auto-scaled throughput based on vehicle count. The OEM’s engineers focused purely on designing smarter mine mobility, faster trip sequencing, more accurate terrain tuning, and better driver alignment.