Applying AI to Advance Fleet Safety, Maintenance, and Compliance
Preventing Incidents Before They Happen
What it is:
Vision systems powered by AI and Advanced Driver Assistance Systems (ADAS) that use in-cab and external cameras, sensors, and real-time analytics to detect risk and support safer driving.
How it supports drivers:
- Detects forward collision risk, lane departure, unsafe following distance, and blind-spot hazards
- Identifies driver fatigue, distraction, and seatbelt non-compliance
- Provides real-time alerts to help drivers react before incidents occur
- Improves awareness in urban delivery zones, highways, and adverse weather conditions
- Creates objective records for coaching, claims resolution, and continuous safety improvement
Turning Operational Data into Proactive Safety
What it is:
Fleet-wide AI safety platforms that combine telematics, video, and behavior analytics to identify risk patterns and prevent incidents.
How it supports drivers and frontline teams:
- Detects risky driving behaviors such as harsh braking, speeding, and tailgating.
- Identifies near-miss trends and high-risk in yards and routes.
- Enables coaching based on actual observed behavioral context, not punishment.
- Automates incident reporting and safety documentation.
Keeping Trucks Road-Ready and Drivers Moving
What it is:
Combinations of telematics, digital inspection platforms, and maintenance systems tied together with AI to predict vehicle issues before breakdowns occur.
How it supports frontline teams:
- Reduces roadside breakdowns and emergency repairs
- Flags maintenance needs early using real vehicle data
- Improves vehicle availability and fleet uptime
- Boosts maintenance response times and first time fix