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.


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.

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,

Stockpile and Inventory Optimization

Stockpile & Inventory Optimization

Grinding Optimization App

Grinding Optimization

Thickener Circuit Optimization

Thickener Optimization

Flotation Circuit

Flotation Optimization

Solvent Extraction Optimization App

Solvent Extraction (SX) Optimization

Leaching Optimization App

Leaching Optimization