Mining & extraction
Extraction of minerals, quarries, oil and gas.
AI opportunity: MediumProcesses specific to your industry
Predictive maintenance of heavy equipment
High impactSensors on shovels, trucks and mills predict failures; every hour of downtime costs tens of thousands of USD.
Typical systems involved: OEM telemetry (CAT, Komatsu), CMMS, IoT
Geotechnical & safety monitoring
High impactAnalysis of slope sensors, gases and operator fatigue to prevent incidents.
Typical systems involved: Geotechnical sensors, wearables, vision cameras
Extraction & blasting optimization
Medium impactModels optimize mining sequence, fragmentation and ore grade sent to the plant.
Typical systems involved: Mine planning software, drilling data
Environmental management & permits
High impactEmissions/water monitoring, regulatory report generation and permit-condition tracking.
Typical systems involved: Environmental sensors, records, regulatory portals
Ore logistics
Medium impactMine-plant-port haulage optimization and shipment reconciliation with grades and weights.
Typical systems involved: Scales, fleet GPS, sales contracts
Shift & camp planning
High impact14x7 shift rosters, staff transport and lodging optimized to the production plan.
Typical systems involved: HRIS, access control, personnel logistics
Plus the cross-department classics
These apply in almost every company — and in this industry they hurt in a particular way:
Regulatory monitoring
High impactEnvironmental, labor and mine-safety rules in constant change; multimillion fines.
Procurement & RFQs
High impactCritical spare parts with long lead times; specialized supplier comparison.
Executive reporting
High impactOperational KPIs (tonnes, grades, cost per tonne) consolidated by pit/plant.
Fraud detection
High impactFuel, spare-parts and contractor control at remote sites.
Which of these are still manual in your company?
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