Underground Material Tracking

Automated, End-to-End Geometallurgical Tracking

IntelliSense.io Underground Material Tracking bridges the gap between what was planned in the reserve model and what is delivered to the plant.

By integrating production block models with real-time asset movement data, we provide geologists and managers with a single, traceable source of truth, from the mining face to the plant feed.

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Stope Block Model with Grade Variability

The Challenges

Why Traditional Tracking Fails

Geology teams are buried under manual reconciliation and error correction:

Reconciliation time sink: Hours every shift spent investigating why stockpiles went negative or correcting contractor trucking errors by hand.

Invisible inventories: No real-time view of the properties or volumes sitting in ore passes and intermediate underground stockpiles.

Manual compliance to design: Error-prone data sheets are used to calculate routing errors, dilution, overbreak, and underbreak.

Uncertain plant feed: Deleterious elements, waste, or paste contamination reaching the plant with no warning, eroding recovery.

Our Solution

Intelligent, Automated Underground Visibility

We use Scientific AI to automate the hardest parts of material tracking – so your team spends more time in the mine and less behind a desk.

End-to-end geometallurgical preservation: Track ore from source through every transfer point, ore pass, and stockpile. Grades, lithologies, and deleterious elements stay attached to the material and update in real time.

Automated reconciliation and QAQC: The system reconciles planned versus actual tonnages from stopes and headings, flagging data quality issues and movement errors as they happen, resolved within the shift, not days later.

3D stockpile modeling: As material surfaces, we build 3D block models of ROM stockpiles, giving metallurgists the spatial variability they need to target specific ore qualities for blending.

Proactive performance protection: Get automated alerts for waste and paste contamination before material hits the crusher – protecting recovery targets and minimising plant impacts.

Underground Level Plan

Core Capabilities

Active Stope Tracking

Real-time inventory management: Accurate daily, weekly, and monthly inventory reporting across all underground and surface locations.

Overbreak and underbreak analysis: Automated quantification of mined volumes against as-built surveys after stope closure.

Visual level plans: High-fidelity mapping of material locations, qualities, and movement points for faster decisions.

Native integration: Direct connectivity to source systems for fleet movement, planned designs, and other key mine data systems.

The Value

Optimized Feed, Maximized Recovery

Accountability
Automated reconciliation drives accurate contractor payments and stope compliance.

Reduced feed variability
Knowing the exact geometallurgical properties of your underground inventory lets you stabilise plant feed and lift downstream recovery.

Better planning
Dilution quantification and plant-performance reconciliation back to material sources sharpen your planning and material handling decisions.

Real Case Studies

Explore the real-world impact of our applications in mining operations worldwide

End-to-end AI solution to improve metal recovery

A case study on how integrating multiple circuits with AI — including Stockpiles, Flotation, and Leaching — to improve metal recovery

Save $200K by Detecting Contaminants in Crushed Stockpiles

3D block model dynamics enabled $200K in savings by identifying contaminants early in crushed stockpiles through real-time alerts.

Increase gold production valued at $1.6M

3D block models of stockpiles facilitated a selective mining strategy to increase gold recovery

Decrease Plant Feed Variability by 5-8%

Improvements in the accuracy of mineralogical and geometallurgical information enabled better plant setup ($1,4M)

Preventing 20,000 Tonnes of Ore Deviation

Using Stockpile to map dump and load deviation events, ensuring 20,000 tonnes of ore was not lost

STOCKPILE: Identify 100k Tonnes of Waste in the RoM

Identify 100,000 Tonnes of Waste in RoM

Using Data quality dashboard, team was able to detect 100,000 tonnes of waste dumped in the wrong location

Reduce Ore Feed Variability and Contaminant Events

3D-modeled stockpiles are subdivided into quality polygons, enabling improved material blending and reducing contaminants in plant feed.

The 3D block modelling has been a very valuable tool for us to assess how to reduce this stockpile and not compromise recovery.

Metallurgist

Evolution Mining

Underground Material Tracking bridges the gap between what was planned in the reserve model and what is delivered to the plant.

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Mine to Market: Value Chain Optimization

The Underground Material Tracking Application is one of a suite of real-time decision-making applications that use Scientific 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 Scientific AI Decision Intelligence Platform, brains.app.

Stockpile & Inventory Optimization

Grinding Optimization

Thickener Optimization

Flotation Optimization