AI Route Optimization
The routing algorithm processed 200+ delivery stops daily, optimizing for minimal total miles, fuel consumption, and delivery time windows. Machine learning models trained on 2 years of historical data predicted traffic patterns by time of day, day of week, and weather conditions. Dynamic rerouting automatically adjusted routes when drivers encountered unexpected delays or new rush orders came in. The system achieved 96% on-time delivery rate compared to 73% with manual routing.
Predictive Maintenance & Diagnostics
Telematics devices monitored 150+ vehicle parameters including engine temperature, RPM, fuel level, battery voltage, and tire pressure. Predictive models identified anomalies indicating impending failures. Automated alerts scheduled preventive maintenance before breakdowns occurred, reducing emergency repairs by 87%. Maintenance history tracking optimized service intervals and identified problematic vehicles for early retirement. The system extended average vehicle lifespan from 6.2 to 8.4 years.
Driver Performance & Safety
The system tracked driver behavior including harsh braking, rapid acceleration, speeding, and idle time. Gamification with safety scores and monthly leaderboards encouraged safe driving. Drivers showing concerning patterns received targeted training. The mobile app provided in-cab coaching with real-time alerts for unsafe maneuvers. Safety improvements reduced insurance premiums by 18% and accident frequency by 45%.