Back to all work
Energy & MiningAI Solution

Resource Planning & Production Analytics

A mining company's production planning relied on historical averages and spreadsheet models that couldn't account for geological variability, equipment availability, or market price fluctuations.

15%
Yield Improvement
Real-time
Production Dashboards
3x
Faster Planning
5 mo
To Delivery
The Challenge

Production targets were set using historical averages that didn't reflect current geological conditions, equipment capacity, or market demand. Plans were created in spreadsheets that took days to update when conditions changed, and there was no feedback loop between actual production data and future planning.

They needed an analytics-driven planning platform that combined geological data, equipment telemetry, and market prices to generate optimized production plans — with real-time dashboards showing plan vs. actual performance.

Our Solution

We built a production analytics platform that integrates geological survey data, equipment telemetry, and commodity price feeds to generate optimized extraction plans. Real-time dashboards compare planned vs. actual production, and the system recommends plan adjustments when conditions deviate.

PythonReactPostgreSQLAWSDocker
Outcome

Production yield improved 15% through better planning, planning cycles went from days to hours, and management now has real-time dashboards showing production performance against optimized targets.

Want results like these?

Tell us about your project. We'll give you an honest read on how we'd approach it.