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Webfleet Predictive Maintenance

Don’t react to breakdowns. See them coming and stop them happening.

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Webfleet Predictive Maintenance, in collaboration with Questar, uses AI-powered insights to help you identify potential vehicle issues before they become major failures. Monitor vehicle health, predict component failures and get actionable maintenance recom­mend­a­tions so you can plan servicing proactively, reduce unexpected downtime and keep your fleet operating at peak performance.

Key benefits of the Webfleet Predictive maintenance

Reduce unplanned downtime

Predict potential failures early and plan maintenance before breakdowns occur.

Lower maintenance costs

Maintain vehicles when needed and avoid unnecessary inspections and repairs.

Extend vehicle life

Address potential issues early to help keep vehicles operational for longer.

Enhance fleet safety

Identify critical vehicle issues earlier and take action before they become bigger risks.

Improve operational efficiency

Optimise maintenance schedules and minimise disruption to fleet operations.

Make smarter maintenance decisions

Use AI insights to prioritise maintenance based on vehicle health and risk.

Key features of Webfleet 's Predictive Maintenance

AI-powered failure prediction1

Identify critical anomalies before they become visible, thanks to AI powered predictions based on thorough analysis of vehicle and sensor data, giving you more time to plan for maintenance.

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Prescriptive maintenance recom­mend­a­tions1

Go beyond identifying a potential problem. Get AI-driven, issue-spe­cific maintenance recom­mend­a­tions, prioritised according to asset health and risk, to help determine what needs attention and when.

Advanced battery diagnostics2

Get deeper visibility into battery health with predictive algorithms designed to detect early signs of potential battery failures before they become a problem.

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Real-time notifications

Stay informed when potential faults, abnormal operating conditions or critical component issues are detected, so you can respond quickly and take the appropriate action.

Intelligent maintenance prior­it­isation

Use AI-powered insights to prioritise predicted issues, focus maintenance resources where they matter most, and schedule servicing more intelligently—helping reduce unnecessary workshop visits and minimise operational disruption.

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All you need to know about predictive maintenance

What is predictive maintenance?

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Predictive maintenance uses vehicle health data and AI-powered analytics to identify patterns, detect anomalies and predict potential component failures before they occur.

This gives fleet managers the insight they need to plan maintenance proactively rather than waiting for a vehicle problem to cause unexpected downtime.

How does Webfleet Predictive Maintenance work?

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Vehicle and sensor data is collected in real time and transmitted to the cloud for processing. AI models analyse the data to detect patterns and anomalies and predict potential failures.

Based on these insights, AI-powered recom­mend­a­tions help identify what action to take, when to take it and the priority of the predicted issue.

What are the benefits of predictive maintenance?

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Predictive Maintenance is designed to help reduce unplanned downtime, lower maintenance costs, enhance safety and maximise operational efficiency.

It can help fleets move from reactive repairs to proactive maintenance planning, keeping vehicles operational for longer.

What is prescriptive maintenance?

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Prescriptive maintenance provides AI-driven, issue-spe­cific recom­mend­a­tions to help determine the most effective maintenance action for a potential vehicle problem.

Recom­mend­a­tions are prioritised based on asset health and risk.

What is the difference between predictive and reactive maintenance?

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Reactive maintenance means addressing a vehicle issue after a fault or failure occurs. Predictive maintenance uses vehicle data and AI-powered analytics to identify potential issues earlier, giving you the opportunity to plan maintenance before a failure occurs.

How can predictive maintenance help reduce vehicle downtime?

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By predicting potential component failures before they happen, Predictive Maintenance gives fleet teams more time to plan servicing and address issues proactively. This can help reduce unexpected breakdowns and minimise operational disruption.

What is the role of Questar in Webfleet Predictive Maintenance?

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Webfleet Predictive Maintenance is developed in collaboration with Questar, bringing together Webfleet 's vehicle and fleet-­man­agement expertise with AI-powered predictive technology. This collaboration enables the solution to turn vehicle and sensor data into predictive maintenance insights.

Are you ready to take your fleet management to the next level?

Stay ahead of vehicle needs with AI-powered insights that help you predict potential failures, plan maintenance proactively and reduce unexpected downtime.

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1Predictions and recom­mend­a­tions are based on available equipment data and analytical models. Actual equipment performance may vary. Maintenance decisions should be validated by qualified personnel.

2Predictive battery algorithms are currently only available for passenger cars (PCs) and light commercial vehicles (LCVs) equipped with 12V batteries. This feature requires an additional subscription.