What ROI Can Your Mine Expect from a Private Network? A Vendor-Neutral, Methodology-Transparent Answer
A seven-input mine profile drives a 5-year ROI model covering equipment health, safety, autonomous haulage readiness and tailings monitoring — scaled to your actual revenue, mine type, and connectivity baseline, with every benchmark and assumption shown
Mining private network ROI conversations are usually anchored to whichever use case a vendor happens to be selling, rather than to the mine’s actual profile — its revenue, its connectivity baseline, its automation maturity, and whether it even has the tailings storage facility that some monitoring use cases assume exists. TeckNexus has launched a Private Network ROI Calculator for Mining, a vendor-neutral, methodology-transparent 5-year financial model aligned with the TeckNexus Mining AI Intelligence framework, covering equipment, safety, productivity and energy use cases scaled to the specific operation being modelled.
Mine type determines which use cases are even relevant
The calculator’s first input — surface/open pit, underground, mixed, or processing plant only — does real structural work rather than just cosmetic filtering: ventilation-on-demand and underground positioning use cases only appear for underground operations, while autonomous haulage system readiness only appears for surface and mixed operations, since neither is technically relevant otherwise. This prevents the calculator from generating an ROI model padded with use cases that don’t actually apply to the operation being evaluated — a common failure mode in generic mining ROI tools that don’t distinguish operation type.
Commodity or sector — hard rock metals, copper/nickel/lithium battery materials, iron ore and bulk commodities, coal, quarrying and aggregates, or oil, gas and minerals processing — shapes output language and which benchmark sources are most applicable, without changing the underlying financial model structure. This matters because iron ore operations with mature, high-volume AHS deployment have a different evidence base to draw on than a coal operation where methane monitoring and regulatory emissions pressure dominate the calculus, even though both are mining operations running the same model architecture.
Revenue, workforce and connectivity baseline set the financial scale
Annual revenue — ranging from under $100M to over $3B — scales all financial projections, which are shown both as absolute USD figures and as a percentage of revenue, giving the model a sanity check that a raw dollar figure alone wouldn’t provide. Workforce size, from under 300 to over 3,000 workers, calculates worker safety and communications value specifically, since safety-related ROI scales with headcount in a way that equipment-focused use cases don’t.
Current wireless connectivity baseline — ranging from no broadband wireless at all (handheld radios and point-to-point links only) through legacy 2G/3G, partial Wi-Fi or leaky feeder coverage with known gaps, existing private LTE evaluating expansion or a 5G upgrade, to private 5G already in active rollout — determines how much of the modelled ROI is contingent on genuinely new infrastructure investment versus a software layer added on top of coverage that already exists. A mine with no broadband wireless at all is modelling a fundamentally different investment than one with private LTE already deployed and evaluating incremental use case ROI.
Automation maturity shapes how fast benefits actually land
Current automation and digitisation maturity — from no automation and paper-based tracking, through some digital tools and basic GPS tracking, active automation pilots, to partial autonomous operations at production scale on at least one equipment type — shapes which use cases have the fastest payback and what benefit realisation percentage is realistic in years one and two specifically. A mine with active automation pilots already running is starting from a materially different baseline than one with no digital systems at all, and the calculator’s benefit realisation curve reflects that difference rather than applying a flat ramp-up regardless of starting maturity.
Tailings monitoring only appears where a tailings facility actually exists
The calculator’s seventh input asks directly whether the operation includes a tailings storage facility, and tailings facility monitoring only appears as a use case if one is present — a deliberate design choice given that tailings dam failures are among the highest-consequence risks in mining, and including a monitoring use case irrelevant to an operation without a TSF would dilute the model’s credibility on the use cases that actually apply.
Ten use cases, individually modelled
The full use case set spans equipment health monitoring for predictive maintenance, haul road and fleet optimisation, ore grade prediction and geological modelling, drill and blast optimisation, safety incident prediction, ventilation on demand for underground operations, processing plant optimisation, tailings facility monitoring, autonomous haulage system readiness, and energy optimisation and emissions monitoring. Each is modelled independently rather than blended into a single ROI figure, and use cases marked as recommended are flagged as the highest-evidence starting points specifically for the selected mine type — surfacing a defensible starting sequence rather than leaving the organisation to guess which of ten possible use cases to prioritise first.
From model to defensible business case
The output is a 5-year financial model shown in both absolute and percentage-of-revenue terms, with the full set of inputs, assumptions and methodology visible — built to survive internal budget scrutiny in a way a vendor-supplied ROI claim typically can’t, since every assumption behind the figure is inspectable rather than asserted.
Mining operations, technology and finance teams building the business case for a private network can run the free, vendor-neutral calculator directly.
Related Tool: AI Use Case Prioritiser (Mining)
Once you’ve modelled the financial case, prioritise which of your recommended use cases to deploy first based on operational impact and deployment feasibility for your specific mine type.
