ML Operator

ML Operator Coach

Unlock Peak Operator Performance with Real-Time, Data-Driven InsightsUnlock Peak Operator Performance with Real-Time, Data-Driven Insights
Empower Your Operators. Optimize Your Fleet. Decarbonize Your Mine.

Cascadia Scientific’s ML Operator Coach is a cutting-edge operator performance monitoring solution built to unlock efficiency gains, reduce fuel burn, and elevate operator behavior in real time.

Built on the backbone of our industry-leading SmartRView platform, ML Operator Coach is a digital co-pilot for mine operations, empowering supervisors and control room staff to identify underperformance, deliver just-in-time coaching, and track continuous improvement.

Up to 15% improvements in fuel efficiency have been achieved through real-time operator intervention based on ML Operator Coach insights.

Key Features

Live Operator Leaderboard

Real-time ranking of operator performance based on modeled cycle benchmarks.

24-Hour Efficiency Distribution Plot

Instantly visualize shift-wide efficiency through dynamic performance histograms

Hourly Efficiency Trendlines

Identify performance trends by operator and equipment across the shift or over time.

Operator Behavior Alarms

Immediate notifications of operational violations such as harsh braking, improper dump positioning, or excessive throttle use.

Model-Based Benchmarking

Every haul cycle is compared against a machine-learning model representing optimal performance, tailored to your site’s unique conditions.

How It Works

ML Operator Coach continuously evaluates operator performance by comparing real-time cycle data to advanced, site-specific machine learning models. These models predict expected fuel use and cycle time based on dozens of haulage variables, terrain, payload, vertical travel, equipment type, and more.

As each cycle completes, operator efficiency is evaluated in real time:

Negative deviations

Better than expected performance (less fuel)

Positive deviations

Underperformance, excessive fuel burn, or inefficiency

A live control room dashboard presents these insights, enabling supervisors to act immediately.

Two-Tier Operator Evaluation

Performance Analysis

Tactical Analysis (Coming Soon)

Dashboard Highlights

Cycle Performance Histogram

Distribution of haul cycles vs. model benchmarks

24-Hour Time-Series Graph

Shift-wide fuel efficiency trend, updated hourly

Equipment & Operator Rankings

Dynamic rankings of each operator’s performance

Event Tracking

Logs safety-critical and performance-related operator events (e.g., excessive braking, dump body misuse)

Want even more granularity? Our models can be customized to your mine, fleet, and operational priorities because no two sites are the same.

Your Bridge to Low-Carbon Mining

As mines commit to net-zero targets, operator behavior presents one of the most immediate and impactful opportunities to reduce Scope 1 emissions. While electric fleets and hydrogen-powered haulage are still emerging, ML Operator Coach delivers sustainability gains today.

ML Operator Coach enables you to:

Minimize fuel use per tonne moved
Maximize operator proficiency across shifts
Identify training needs and coach in real-time
Reduce carbon intensity of diesel fleets
Achieve quantifiable ESG and decarbonization progress

Why ML Operator Coach?

Ready to Transform Your Fleet?

Unlock your team’s full potential and drive down costs and carbon, starting today.