Driver Risk Scoring
Combine overspeeding, harsh braking, acceleration patterns, and event frequency into practical, actionable risk indicators.
LAS Mobility positions AI where it matters most — surfacing risks, explaining patterns, detecting anomalies, and helping operations teams choose the next best action.
94%
AI prediction accuracy at 8 weeks
6
AI capability modules
Real-time
Anomaly detection
Plain language
Natural language insights
Fleet teams already collect thousands of signals. LAS Mobility converts those signals into focused insight, so managers can see what changed, why it matters, and what to review next.
Combine overspeeding, harsh braking, acceleration patterns, and event frequency into practical, actionable risk indicators.
Detect unusual fuel variance, route deviation, idle spikes, connectivity gaps, or vehicle behavior that deserves immediate attention.
Highlight the vehicles, routes, and driving behaviors most likely to affect fuel efficiency and avoidable operational cost.
Prepare fleets for maintenance intelligence by organizing usage, activity, device health, and performance signals.
Ask questions about fleet trends, safety events, utilization, and exceptions in plain business language and get instant answers.
Prioritize actions that can improve safety, reduce idle time, optimize utilization, and strengthen route discipline.
Route Intelligence analyses historical traffic patterns, stop sequences, and vehicle capacity to suggest optimised routes before dispatch — not after. The more trips it analyses, the more accurate it gets.
AI prediction accuracy — improving week on week
Route efficiency prediction vs actual outcome
94% accuracy by week 8 — improves as the model learns your routes.
LAS Mobility builds a composite risk profile for every driver — combining event frequency, severity, and improvement trend — updated after every trip.
Each driver gets a 0–100 score combining harsh events, overspeed frequency, and improvement trend.
Compare a driver's current week score against their rolling 30-day average to spot improvement or decline.
AI surfaces the specific behaviours driving poor scores so managers can have targeted coaching conversations.
LAS Mobility goes beyond reporting. The analytics layer identifies patterns that predict future problems — giving operations teams a head start on cost, safety, and utilisation.
See which vehicles are over- or under-utilised before the imbalance costs money.
Surface unexpected fuel consumption spikes that may indicate theft, idling, or mechanical issues.
AI flags unusual patterns across routes, stops, and device connectivity before they become incidents.
Usage patterns and mileage data help predict which vehicles need servicing before breakdowns occur.
LAS Mobility is designed to make fleet teams faster and better informed, with human decision-makers staying in control of safety, compliance, maintenance, and business action.
Give operations, safety, and management teams a shared live view of what's happening and what needs attention next.

Trips Today
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Risk Alerts
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Fuel Saved
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Device Health
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AI Intelligence Active
Anomaly detection running across all 1,284 vehicles · 3 optimization suggestions ready
Join hundreds of fleet teams already using LAS Mobility to track smarter, drive safer, and operate more efficiently.
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