| Project configuration | Vehicle types with a product group structure, seeded from EN 15380-2 or built by the fleet, component types, mounting slots, and maintenance plans with kilometre and time intervals. Everything else builds on this |
| Assets | Vehicles with running odometer readings and full configuration — which component sits where, with complete change history — plus per-component readings and lifecycle status |
| Service book | Corrective and preventive maintenance, due status with tolerance windows, out-of-service periods, cleaning and emptying |
| Strategic KPI | MDBF, MTTR, defect rate per product group, planned-versus-unplanned ratio, compliance, recurring faults |
| Maintenance planning | Projected workload in activities, manhours and cost, and a scheduler for placing the work |
| Wheel analysis | Wear trends, remaining useful life, and a Monte-Carlo reframing demand forecast |
| Warranty | Claims raised directly from recorded defects and driven with the supplier through a structured workflow, with grouped claims for systematic faults |
| Inspections | Campaigns built from the vehicle structure, carried out in an offline-capable field app, with AI-summarised reports |
| Defect reporting | Faults reported in conversation with an AI assistant on a separate app, classified with the maintainer’s own codes, and delivered to the maintainer’s system |
| High-value components | Tracking dismounted high-value components through repair at a subcontractor |
| Ask AI (experimental) | Questions put to the data in natural language, answered with aggregates and interactive charts |