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Inspiration Case – Based on real mining challenges and AI opportunities identified across our work
How operations teams could cut diesel and power costs using AI-driven energy analytics
AI detects route and load inefficiencies to deliver 5-10% energy cost reduction and CO₂ savings.
Context
Fuel and power can account for 30% of operating costs. Inefficient routes and idle time increase waste.
Solution
AI analyzes dispatch and power data to detect inefficiencies and suggest improvements such as route optimization or load balancing.
Results
Quality: 5-10% reduction
Operators achieve 5–10% energy cost reduction and measurable CO₂ savings.
Data Inputs
Fuel telemetry, dispatch data, power meters