AI Powered Mining Applications for the Future

Welcome to the next generation of mining technology—applications that integrate AI and data-driven decision-making to transform every aspect of your operations.
Our innovative approach offers comprehensive tools that empower mining companies to optimize production, reduce costs, and make data-informed decisions, all while driving operational efficiency across the value chain.

Optimize Mine Value Chain: AI Powered Applications. 

Maintenance KPIs by Week

Monitor key performance indicators (KPIs) for shovel maintenance, downtime, and equipment health on a weekly basis, enabling data-driven operational improvements. 

  • Provides visual analytics of equipment performance over time.
  • Tracks key metrics such as failures, availability, and downtime trends.

Availability Breakdown

Gain deep insights into equipment availability with real-time analytics on operational efficiency, downtime causes, and resource utilization. 

  • Visual breakdown of mechanical availability and downtime factors.
  • Identifies recurring patterns to enhance fleet uptime.

Unplanned Downs

Detect and analyze unplanned equipment failures to minimize unexpected downtime and improve overall operational efficiency. 

  • Identifies top failure events and their root causes.
  • Provides predictive insights to reduce unexpected outages.

Equipment Health

Monitor real-time equipment condition with predictive analytics to ensure optimal performance and extend asset lifespan.

  • Tracks critical health indicators like payload, overload, and tram time.
  • Identifies early warning signs for maintenance actions.

Equipment Status

Gain a real-time overview of your fleet’s operational state, including active, idle, and down statuses. 

  • Provides a centralized dashboard for monitoring equipment conditions.
  • Enhances decision-making by identifying bottlenecks and inefficiencies.

Downtime Predictions

Use historical downtime data and ML-driven analytics to forecast upcoming failures and optimize maintenance schedules.

  • Shares data across planning and financial modules.
  • Enhances collaboration between operational and financial teams.

Next Anticipated Failure

Predict the most likely future failure events for critical equipment using ML-powered modeling.

  • Provides a detailed forecast of high-risk failures.
  • Enables preemptive maintenance to avoid operational disruptions.

Queue Time Prediction

Optimize truck dispatching and reduce idle time with ML-driven queue time forecasting. Specially tailored for Wenco and available for other providers. 

  • Predicts haul truck waiting times based on historical FMS data.
  • Helps optimize material movement to improve operational flow.

Material Movement

Track and analyze material flow across mining operations to optimize resource allocation and fleet performance.

  • Provides real-time visibility into material movement and shift-based tracking.
  • Enables better planning by identifying inefficiencies in haul cycles.

Time Utilization

Optimize equipment usage and minimize idle time by analyzing how time is allocated across operations.

  • Tracks time spent in different operational states, including active, idle, and maintenance.
  • Provides insights to reduce non-productive hours and improve fleet efficiency.

Stockpile

Generate detailed reports material composition, and movement trends for better inventory management.

  • Provides automated stockpile reports with real-time and historical data analysis.
  • Enhances decision-making with insights on material availability and usage trends.
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Increase productivity and stay ahead in the competitive mining industry by being among the first to benefit from our innovative heap leach production solutions.