Crabins Fleet Management
Crabins Fleet Management moves beyond basic telematics to offer an integrated, intelligent system dedicated to maximizing asset lifespan, minimizing breakdowns, and ensuring peak fleet performance across your operation. It is the key to transforming reactive maintenance into predictive strategy.
This core functionality leverages vehicle data to anticipate and prevent failure, drastically reducing unexpected downtime and repair costs.
Component Failure Forecast: Utilizes AI to flag specific vehicle components (e.g., hydraulics, engine parts, brakes) predicted to require service within a defined time frame.
Real-Time Diagnostics Integration: Connects directly with vehicle telematics to pull live diagnostic trouble codes (DTCs), mileage, and sensor data (oil pressure, temperature) into the central dashboard.
Maintenance History Ledger: Maintains a detailed, digital record of all service performed on every vehicle, ensuring compliance with warranties and optimizing future maintenance schedules
This section links vehicle operation data to driver behavior, promoting safety, accountability, and fuel-efficient driving habits.
Driver Behavior Scoring: Automatically scores drivers based on metrics like instances of harsh braking, aggressive acceleration, high RPM usage, and adherence to speed limits.
Route Adherence Verification: Tracks actual driving paths against the AI-optimized routes, flagging deviations for review and training.
Safety Incident Reporting: Centralizes data related to accidents or severe events, complete with GPS logs and pre/post-incident vehicle diagnostics for forensic analysis.
This feature provides high-level oversight on the health and productivity of your entire vehicle roster, supporting long-term capital planning.
Vehicle Uptime Metrics: Monitors and reports on total operational time versus downtime (both planned and unplanned), helping fleet managers maximize asset usage.
Fuel Consumption Benchmarking: Compares individual vehicle fuel efficiency against fleet averages and optimized route models, identifying mechanical or driver-related wastage.
Asset Depreciation & Planning: Provides data essential for tracking the operational lifespan of vehicles, supporting timely decisions regarding replacement cycles and future capital expenditure.
Fleet data is not siloed; it is used to enhance routing and scheduling, creating a feedback loop for continuous optimization.
Telematics-Driven Routing: Vehicle dimensions, fuel levels, and current mechanical status are fed back into the Dynamic Route AI to prevent scheduling a less capable vehicle on a demanding route.
Automated Scheduling Integration: Automatically books service appointments for vehicles identified by the Predictive Maintenance system, linking directly to mechanic availability and spare parts inventory.
Fleet-Wide Reporting: Consolidates data on maintenance costs, fuel spend, and driver performance into comprehensive, actionable reports for executive review and financial analysis.

