Stockpile & Inventory Optimization Case Study

Client: Major Copper Mine, Chile

A leading copper producer sought to address significant variability in the materials fed into their processing plant. The Stockpile & Inventory Optimization (SIO) application was employed to generate near real-time 3D ore control models of stockpiles. This initiative successfully reduced plant feed variability by 5 to 8%, significantly enhancing the stability and predictability of customer operations.

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Mine to Market: Value Chain Optimization

The Stockpile & Inventory Optimization Application is one of a suite of real-time decision-making applications that uses AI to optimize each process; from mine to market.

Our Material Handling model connects these applications to drive even greater efficiency.

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Our process optimization apps can be deployed on a specific process bottleneck or expanded across the entire value chain. They are powered by our Industrial AI Decision Intelligence Platform, brains.app.