AI optimization
Your fleet data, working for you.
Our AI layer sits on top of the compliance and operational data you already capture. It optimizes routes and cost, predicts maintenance, scores risk and reads your documents.
Use cases
Where AI helps
Each use case starts from the records your fleet already keeps in Safety Real Time.
Route and cost optimization
Models weigh distance, fuel, hours of service and lane history to suggest better routes and fewer empty miles.
Aimed at fuel and deadhead cost
Predictive maintenance
Inspection defects, mileage and telematics patterns point to component failures before they strand a truck.
Aimed at fewer roadside breakdowns
Driver risk scoring
Behavior and inspection data surface risky patterns early, so you can coach before an incident.
Coaching before incidents
Document OCR and classification
AI reads BOLs, rate confirmations and PODs, extracts the fields and files them to the right load.
Less manual data entry
Compliance assistant
Ask plain-language questions about DOT rules, due dates and your own records, and generate reports.
Quicker answers and audits
Operational insights
Turn raw fleet data into trends and alerts so managers see what’s changing without building spreadsheets.
Decisions from real data
How it fits
Built on the data you already keep in Safety Real Time
Because compliance and operations already run in Safety Real Time, the AI layer has connected data to learn from. You turn on the models you want, and the results show up in the workflows your team already uses.
Grounded in your records
Models use your inspections, defects and load history.
Inside existing workflows
Recommendations appear where work already happens: dispatch, maintenance and safety.
Turn on what you need
Start with one use case and add more later.
See which models fit your fleet
We will walk through which models fit your operation and what data they would learn from.