AI-Powered Fleet Intelligence
Machine learning and natural language AI that runs on top of your fleet data. Analyzes telemetry, maintenance history, driver behavior, and operational patterns to surface insights no human could catch manually. Available as an add-on to any tier.
Predictive Maintenance AI
Machine learning models trained on your own telemetry data. Analyzes sensor data, telematics, and maintenance history to predict failures weeks in advance.
Vehicle Risk Score
0-100 daily score per vehicle based on fault frequency, PM status, battery, coolant, and idle anomalies. Highest risk vehicles surface first every morning.
Fault Pattern Recognition
DTC once = log. Twice in 30 days = yellow flag. Three times or accelerating = auto work order + alert. 14-30 days advance warning.
Battery Degradation Model
Tracks voltage over time, models sag curve, predicts failure 2-4 weeks before it strands a bus.
Coolant Temperature Anomaly
Baseline per engine type, alerts when trending high before critical threshold.
Fuel Efficiency Anomaly
Baseline MPG per vehicle per route. Flags drops, calculates dollar cost per day.
Idle Pattern Anomaly
30-day baseline per route. Flags spikes above normal.
Fault Sequence Learning
Learns DTC chains (e.g. P0128 before P0217). Warns about predictable failure sequences.
Remaining Useful Life
Estimates miles and days remaining on brake system, battery, and cooling based on fleet history.
Predictive Failure Warning
Combines all signals: 'this vehicle will likely fail in X days' with confidence level.
Maintenance Cost Forecast
30/60/90 day spend projection per vehicle and fleet-wide.
Repair vs. Replace Analysis
Flags vehicles where lifetime maintenance cost exceeds resale + replacement threshold.
Fleet Health Score
Single 0-100 number for overall fleet condition on leadership dashboard.
Natural Language AI Assistant
Type a question in English or Spanish. AI responds instantly with data pulled from your live database.
Example Queries
Ask anything about your fleet in plain language. The AI pulls from vehicle diagnostics, maintenance records, driver data, and risk scores to respond with actionable intelligence.
- ✓ "Which buses have active fault codes right now?"
- ✓ "What's wrong with bus #7 and should I pull it from service?"
- ✓ "Which vehicles need service in the next 30 days and what will it cost?"
- ✓ "Which driver had the most speeding events this week?"
- ✓ "How much did we spend on maintenance last month vs last year?"
- ✓ "Which bus has the highest risk score and why?"
- ✓ "Is bus #12's P0442 code serious or can it run tomorrow?"
- ✓ "Which routes run the most idle time?"
- ✓ "What's our average cost per mile across the fleet?"
- ✓ "Which vehicles haven't had a PM in over 90 days?"
Automated Reporting AI
AI generates plain-English narratives, briefings, and executive summaries automatically. No manual report building required.
Daily Morning Fleet Briefing
One paragraph to fleet manager and leadership every morning. "3 vehicles have active P-codes. Bus #14 overdue for oil change by 800 miles. Fleet risk score 71, up from 68. Estimated spend this month: $4,200."
Weekly Driver Safety Summary
Per driver narrative delivered weekly. "Driver Ramirez improved 8 points. Harsh braking down from 12 to 4. Speeding events elevated — recommend coaching."
Monthly Executive Summary
Board-ready PDF on the 1st. Fleet health, top costs, safety leaderboard, vehicles approaching end of life, fuel waste.
Automated Work Order Narrative
Plain-English summary per completed work order stored permanently in vehicle record.
Anomaly Explanation
When AI flags something, it writes why: "Bus #3's fuel efficiency dropped 18% this week. Consistent with clogged fuel injector or dirty air filter."
Driver Behavior AI
Machine learning applied to driving patterns. Scores, trends, coaching priorities, and behavioral detection across your entire driver roster.
Safety Score Engine
0-100 composite score from speeding, harsh braking, acceleration, idle, after-hours usage, and inspection completion.
Score Trend Analysis
30-day rolling analysis per driver: improving, stable, or declining. Visual trend line with weekly data points.
Coaching Priority Queue
Ranked by urgency with specific, actionable details. Fleet managers see who needs attention first and why.
Peer Comparison
"Driver Lopez is bottom 20% for harsh braking but top 30% for idle time." Context-aware comparisons across the fleet.
Behavioral Pattern Detection
"Driver Garcia consistently speeds on FM 755 between 6:45-7:10 AM." Identifies recurring patterns tied to specific routes, times, and conditions.
Operational Intelligence
AI applied to fleet operations: cost analysis, route efficiency, utilization, weather, and resource optimization.
Idle Waste Calculator
Exact dollars wasted per vehicle per month from excessive idling. Broken down by driver and route.
Route Efficiency Scoring
Planned vs actual performance per route. Flags candidates for optimization based on time, fuel, and mileage variance.
Substitute Vehicle Recommendation
When a vehicle goes down, AI recommends the best replacement from available inventory based on route requirements and vehicle capability.
PM Timing Optimization
Analyzes actual usage patterns to recommend optimal service intervals instead of relying on generic manufacturer schedules.
Fleet Utilization Analysis
Identifies underutilized vehicles as disposal candidates and overworked vehicles that need load balancing.
Weather-Based Alerting
NWS severe weather data matched to active routes. Alerts fleet managers when conditions impact scheduled operations.
Cost Per Mile by Route
True cost factoring fuel, driver hours, and maintenance allocated per route. Identifies your most and least expensive operations.
School District AI
AI capabilities built specifically for K-12 transportation departments. Attendance correlation, route optimization, parent engagement, and staffing prediction.
Chronic Absenteeism Transport Flag
3+ missed rides in 2 weeks triggers a flag to the school counselor. Identifies students whose transportation barriers may be contributing to absenteeism.
Route Load Balancing
Ridership analysis per route per stop. Suggests adjustments for overcrowded and underloaded buses to optimize capacity across the district.
Parent Engagement Scoring
Identifies inactive parents who have not used the app or responded to communications. Triggers re-engagement outreach in their preferred language.
Driver Shortage Predictor
Learns driver absence patterns and predicts shortages 48 hours in advance. Alerts transportation directors before gaps impact routes.
AI Add-On Packages
AI is an add-on to any base tier. Three packages available.
AI Basico
Predictive alerts and anomaly detection for fleets that want early warning without the full AI suite.
- Vehicle risk score (0-100)
- Fault pattern recognition
- Battery + coolant anomaly
- Fuel efficiency anomaly
- Daily morning briefing
Best for: Frontera clients who want predictive alerts
Request DemoAI Completo
Full predictive intelligence, natural language assistant, driver coaching AI, and automated reporting for large operations.
- Everything in AI Basico
- Natural language assistant
- Remaining useful life
- Predictive failure warning
- Automated work order narratives
- Driver coaching AI
- Cost forecasting
- Monthly executive PDF
Best for: Large ISDs and counties
Request DemoAI Completo + Reporting
The complete AI layer with custom reporting, board-ready PDFs, route intelligence, and district-specific features.
- Everything in AI Completo
- Custom scheduled reports
- Board-ready PDFs
- Route efficiency AI
- Fleet utilization analysis
- Repair vs replace analysis
- District-specific features (school districts)
Best for: Superintendents, county judges, large entities
Request DemoSee the AI Layer in Action
Schedule a demo to see the AI layer running on live fleet data. We will walk through predictive maintenance, the natural language assistant, and automated reporting using real telemetry from active fleets.