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MAUDE AI
JCI Mining/Mining

Production & diesel intelligence system

Connected fleet telemetry and production data into a single platform that tracks diesel consumption against output — surfacing waste and optimisation opportunities in near real time.

Machine TelemetryData PlatformsAI Automation
Challenge

Diesel is one of the largest controllable costs in mining, yet consumption was reported after the fact and disconnected from production. Operators had no timely view of burn rate versus output, making waste hard to detect and harder to act on.

Approach
  1. 01

    Ingested machine telemetry and fuel data from the fleet

  2. 02

    Aligned diesel consumption with production volumes and operating context

  3. 03

    Established a single operational view of efficiency across the fleet

  4. 04

    Automated reporting so insight reaches operators while it still matters

What we built

    Telemetry ingestion from fleet equipment and fuel systems

    A production-vs-diesel efficiency model and dashboards

    Automated near-real-time operational reporting

    Alerting on abnormal consumption and underperformance

Outcomes
[ X% ]
reduction in diesel waste
[ X% ]
improvement in fleet efficiency
[ live ]
operational visibility

Placeholder metrics — replace with the actual figures from the JCI engagement.

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