Predict failures 30 minutes to 48 hours before they happen with 88% accuracy. ML-powered risk scoring enables proactive interventions, preventing 80% of failures before customer impact.
ML models score risk continuously with 30-minute to 48-hour prediction horizons. Risk bands (Critical >75%, High 50-75%, Medium 25-50%, Low <25%) guide urgency of intervention.
Sortable table of vehicles with risk score, component at risk, failure horizon, and action buttons. Filter by risk band, component, or model for targeted interventions.
Top 5 features contributing to risk with plain English interpretations. See pack_temp_slope, coolant_flow_delta, ambient_temp impact with contribution percentages.
Compare vehicle risk to cohort average (model, software version, climate zone). See if risk is vehicle-specific or cohort-wide issue.
Interactive simulation sliders adjust parameters (ambient temperature, charge timing) to see real-time risk score updates and projected reductions.
Prioritized list of actions (Schedule Service, Enable Capture, Remote Update) with rationale, estimated risk delta, and urgency indicators.
14-day view with color-coded cells showing when vehicles need service. Enable capacity planning for service coordinators and parts inventory.
Proactive maintenance prevents 80% of failures before they impact customers. Unexpected breakdowns become scheduled maintenance.
Failures predicted and prevented before customer impact. Proactive maintenance prevents costly breakdowns and strandings.
Eliminate unexpected breakdowns and emergency service. Schedule maintenance at customer convenience. Build trust through reliability.
Better capacity planning with 14-day forecast. Optimize parts inventory. Reduce emergency service costs by 60%.
See how predictive maintenance can transform reactive operations into proactive fleet management.