Stockpile Management Software for Mining

$ 0 M

in annualized value recovered across deployments

0 %

client retention - no one goes back to blind decisions

0 Days

to go from uncertainty to operational clarity

$ 0 /oz

recovered by catching misroutes and diluted feed early

Misrouted Loads Are Easy to Miss – and Expensive to Catch

It happens more often than most would admit: a truck dumps into the wrong pad, or a feed zone pulls from a contaminated lift. Dispatch thinks one thing. The operator sees another.

These slips don’t trigger alarms - but they build up silently. Material ends up in the wrong pile, gets fed at the wrong time, and throws off everything downstream.

By the time you detect the issue - if you do - the damage is done: poor recovery, diluted feed, and no way to trace it back. You’re not in control. You’re just trying to contain the fallout.

You're Blending on Gut Feel - Not Real Data

You might know the average grade of a pile. But do you know the top 3 meters of Lift 22? Or whether that stockpile has been rehandled twice this week?

Most blending strategies rely on static assumptions - maps, topo, and blend plans that lag reality by days or weeks. So ops leaders “go with what feels right,” and circuits pay the price.

Without fine-grained visibility into hardness, grade, and material history, even the best plan becomes guesswork. That’s not blending - it’s gambling with recovery.

Three Teams. Three Systems. No Shared Truth

Geology has one view. Planning another. Operations a third. Everyone’s pulling from different datasets - none of them live, none of them aligned.

So meetings turn into debates: Was it the ore? The circuit? The shift? No one’s quite sure. The result? Hedged decisions, compromised throughput, and no way to defend what happened.

NTWIST changes that. With a shared digital twin that updates live, every team finally works from the same source of truth - so when things go wrong, you know why. And when they go right, you can repeat it.

Hook Up to Real Site Data

Aerial view of multiple haul trucks on intersecting mine roads, each marked with GPS tracking indicators.

We connect directly to your GPS fleet, dispatch system, and topographic survey data. No integrations required - no delays. Within days, you’re building a live stockpile view grounded in your actual movement and ore flow.

Model What You Can’t See

Color-coded 3D model of a stockpile displaying gradient contour lines and numeric density values for real-time material analysis.

Our probabilistic engine rebuilds your stockpile at a granular level - by dump, by rehandle, by uncertainty zone. Instead of relying on average grades, you now operate on a constantly updated digital twin that reflects real-life blending conditions.

Track Every Truckload, Automatically

Side-by-side view of a haul truck being loaded with ore by an excavator and then dumping it, overlaid with digital gridlines representing tracking technology.

As trucks move, NTWIST tracks where they came from, where they dumped, and what was in each load. This turns vague grade estimates into precise material tracking - laying the foundation for better decisions across the mill.

Surface Risks Before They Snowball

Male engineer focused on a multi-screen dashboard displaying a stockpile heatmap alert and real-time operational graphs.

The system doesn’t just visualize stockpiles - it highlights deviations the moment they arise. From misplaced material to mismatched plans, NTWIST alerts your team before small issues turn into serious losses.

Create One Source of Operational Truth

Three construction engineers in safety vests and helmets discussing site plans while standing in front of a mine stockpile.

Geology, operations, and planning can finally work from the same page - literally. The stockpile twin becomes a common source of truth, aligning your teams and replacing guesswork with shared confidence and smarter decisions.

GPS + Dispatch Data Integration

We trace every truck from dig block to dump using GPS logs and dispatch data - automatically correcting for rehandles, detours, and overlaps. You get a clear material origin, movement history, and expected properties for each load.

Topographic Survey Alignment

By layering recent topo scans over pile history, we reveal where material volume doesn’t match what’s been declared. These discrepancies - especially in rehandled or high-traffic zones - often uncover buried delivery errors before they cause bigger issues.

Block-Based Source Tracking

We match truck paths with active dig blocks to pinpoint likely material source. When precision isn’t possible, we use spatial logic to estimate contributions - so you still get a blended profile of grade, hardness, and lithology for every zone.

Confidence Scoring and Quality Flags

Each area of the stockpile gets a confidence score based on GPS, tonnage consistency, and material history. If something doesn’t line up, it’s flagged - so your team knows where to double-check and where it’s safe to move forward.

How Leading Miners Are Already Using NTWIST to Recover Millions

Digital twin visualization of a stockpile at Cerro Corona - Gold Fields

"NTWIST supported Gold Fields in transitioning from open-pit mining to full reliance on stockpiled ore- using GPS-based modeling and simulation to drive confident feed decisions and maintain mill performance."

AI-Driven Optimization in High Pressure Acid Leach Operations - Sherritt

"NTWIST deployed AI-based models to stabilize processes, minimize unplanned downtime, and reduce variability in a high-throughput industrial setting - all within 90 days."

AI-Driven Ore Grade Optimization at the Edge - Intel® Collaboration

"NTWIST partnered with Intel to deploy real-time ore optimization at the edge - reducing waste, improving recovery, and unlocking faster decision-making with AI-powered control."

Revolutionizing Ore Management with a Digital Twin

"NTWIST helped a leading gold producer implement advanced geo-metallurgical modeling to improve stockpile blending, increase recovery, and enable smarter mine-to-mill coordination."

Digital twin visualization of a stockpile at Cerro Corona - Gold Fields

As Cerro Corona’s open-pit operations wound down, the site faced a major challenge: its stockpile - built over years of dumping - held uncertain value. Rehandled material and missing GPS records left teams unsure where key grades were actually sitting.

NTWIST deployed a digital twin using historical truck logs, GPS positions, and block model data. The system reconstructed likely dump origins, estimated properties zone by zone, and visualized spatial uncertainty in a custom dashboard.

This gave Cerro Corona a high-resolution view of what was in the pile, where confidence was strong or weak, and how that would affect downstream planning. It also enabled validation by comparing model predictions to lab assay results.

Results Delivered:

Model-aligned grades: Cu 0.286% (–1.7% vs. internal), Au 0.376 g/t (+0.66%)
All values fell within Cerro Corona’s 95% confidence envelope
Improved grade smoothing using high-resolution spatial distributions vs. traditional polygonal models

Revolutionizing Ore Management with a Digital Twin

A mid-tier Brazilian producer was constantly battling uncertainty about stockpile composition due to misroutes, untracked rehandles, and a lack of real-time visibility. These issues degraded blend quality, recovery rates, and confidence across departments.

NTWIST deployed a live digital twin of the stockpile using dispatch data, GPS logs, and topo scans. The system tracked material in real time, flagging misplaced ore and waste, and offering a shared, always-current view across geology, ops, and planning.

With a common picture of the pile, teams worked off a single truth - laying the foundation for smarter recovery and throughput optimization.

Results Delivered:

Real-time visibility into stockpile composition and status
Immediate detection of misplaced ore and waste
A shared source of truth across planning, operations, and geology
$2M in prevented losses through misroute and dilution avoidance
Digital foundation for blending, recovery, and throughput optimization

AI-Driven Optimization in High Pressure Acid Leach Operations - Sherritt

Though focused further downstream, this case shows how ore characterization and digital context early in the value chain can unlock real financial gains.

Sherritt’s HPAL facility faced volatile feed quality and recovery issues. Acid and steam dosing often reacted to inconsistent inputs - leading to suboptimal performance and hard-to-control outcomes.

NTWIST applied its AI optimization engine to historical process data to recommend new control strategies. The system identified patterns, suggested proactive setpoints, and helped engineers stabilize operations, especially during difficult conditions.

Results Delivered:

Increased potential profit in 42% of operating hours
Corrected suboptimal conditions in 17% of hours
Supported Ni and Co recovery improvements through more stable dosing
Enabled future autonomy in acid and steam process control

By highlighting performance gaps and surfacing new benchmarks, NTWIST is giving our team the clarity needed to move beyond intuition and toward measurable improvement. We're now in a stronger position to define and pursue the next phase of operational excellence.

Gordon Art Meyer

Manager Technical Services | Suncor Energy Logistics Corporation

Having NTWIST independently validate our stockpile model gave us added confidence that our current estimates are sound, and that we’re well-positioned for the transition to stockpile-only operations.

Julio Torres

Technical Services Manager | Goldfields Peru - Cerro Corona

NTWIST’s AI model increased potential profit in 42% of operating hours and corrected off-target conditions in another 17%. With further refinement, even greater stability and profit gains are expected.

Cory Kasinski

Former Head of Project Evaluations | Sherritt Technologies (via ALTA Conference)

We saw NTWIST’s platform as a strong fit for Clydach because it could improve process consistency without requiring disruptive infrastructure upgrades.

Peter Martin

Technical Manager | Vale Europe Limited

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From Zero to Value in 90 Days

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How does this solution help reduce variability in plant feed quality?

NTWIST’s stockpile model provides real-time visibility into what’s sitting in your stockpiles - including estimated grade, volume, and source history - so that planners and operations leads can make more confident decisions about where to draw from next. It minimizes the risk of poor blends and helps stabilize mill performance.

Can this system track and differentiate between multiple stockpiles across the site?

Yes. Our system maps and monitors all tracked stockpiles individually, offering site-wide coverage whether you're managing satellite pits, ROM pads, or mill feed stockpiles. This helps reduce reliance on manual handovers and improves accountability.

How does this impact coordination between mine and plant operations?

By linking geological intent with actual haul activity, our model improves the feedback loop between planning and execution. Dispatch, mill operators, and technical services all gain access to the same live view - supporting faster, more aligned decisions across departments.

What kind of data do we need to get started?

At a minimum, we typically need access to haul cycle data (from FMS or dispatch logs), basic stockpile naming conventions, and a connection to your grade control or block model outputs. The cleaner your source data, the faster we can configure and tune the system.

Does this system replace dispatch or FMS?

No - it works alongside your existing systems. Think of it as an operational intelligence layer that adds context to what’s already being recorded. It doesn’t interfere with your control systems, and it’s designed to pull data, not push commands.

What sort of savings or efficiency gains have others seen?

Several NTWIST deployments have demonstrated tangible gains. For example, in a digital twin implementation at a gold mine in Brazil, NTWIST’s system helped prevent an estimated $2 million in ore losses through real-time misrouting detection and unified stockpile visibility. In another case, an AI-driven optimization model delivered measurable improvements during 42% of operating hours, with 17% of off-spec hours corrected, directly boosting stability and profit.

Can we customize the stockpile model to match our naming logic and site layout?

Absolutely. NTWIST’s solution is designed to align with how your team already thinks about stockpiles. You define the naming structure, and we configure the logic accordingly - no rigid frameworks to work around.

Is this tool only useful for large or complex operations?

No. Even mid-sized sites benefit from more accurate material tracking. Whether you're juggling multiple pits or just trying to better manage a few stockpiles feeding a single plant, the visibility and accountability it provides pays off.

How quickly can this be deployed and provide value?

Most pilots are configured in a matter of weeks. Once live, teams typically start seeing value within the first production cycle - especially when used to inform blending or validate stockpile assumptions ahead of a campaign.

Does this help with compliance or reconciliation efforts?

Yes. Our model can be configured to support reconciliation workflows by offering an auditable trail of material movement and estimated composition. This supports both internal reporting and external compliance where required.

You’re Moving Tons. Do You Know What’s in Every Load?

The mines solving this visibility gap are already seeing the upside - less loss, faster clarity, and no more flying blind.

Backed by Mines That Won’t Risk Blind Spots

You Control the Plant - But Not What’s Coming Into It

Misrouted Loads Are Easy to Miss – and Expensive to Catch

You're Blending on Gut Feel - Not Real Data

Three Teams. Three Systems. No Shared Truth

Turning Chaos into Clarity: A Step-by-Step Look at NTWIST’s Stockpile Intelligence

Hook Up to Real Site Data

Model What You Can’t See

Track Every Truckload, Automatically

Surface Risks Before They Snowball

Create One Source of Operational Truth