Feb 26, 2026
Heavy-equipment mining operations tuned for flexibility
When day-ahead energy prices started swinging 40% inside a week, the site's flat-schedule equipment plan stopped making economic sense.
Output at same energy draw
↑
Duration
16 weeks
Team
5 people
Challenge
Equipment, power draw and logistics were optimized locally — with no operating model that saw them together.
Solution
We designed a decision layer tying equipment scheduling to energy and logistics signals, kept the control points human-owned and left room for progressive automation.
Outcome
The site ran leaner on energy, preserved output and gained a decision tool that could absorb future market volatility without a rewrite.
What was happening
Fleet, power and logistics teams each ran a good plan. Stitched together, the plans fought each other.
Market volatility made the gap visible every week.
What changed
We built a decision layer that saw the three systems as one, with scheduling rules that reacted to energy price and demand signals.
The operation kept humans at the control points and grew automation where the trust was earned.
- Integrated view across fleet, power and logistics
- Scheduling rules reacting to market signals
- Progressive automation under human control
AI Transformation, Process Optimization & Cost Efficiency