Maintenance 4.0

Maintenance 4.0 is the application of Industry 4.0 principles to maintenance: assets are connected, their data is collected continuously, analysed with software and used to trigger the right action automatically. It is not a single tool but a framework that links sensors, data, people and workflows so that maintenance decisions rely on facts rather than habit.

The building blocks

• Connected sensors: IoT sensors and the vehicle's own electronics report mileage, fault codes, battery state or tyre pressure.
• Data platforms and analytics: data is centralised, cleaned and analysed, from simple thresholds to statistical models.
• Digital records: every intervention, invoice and inspection is stored digitally, building a usable history per asset.
• Digital twins: in advanced settings, a vehicle digital twin mirrors the real asset to test scenarios.
• Automated workflows: an event such as an alert or a due date automatically creates a task, notifies the right person or books a slot.

Maintenance 4.0 versus predictive maintenance

Predictive maintenance is one technique: it uses data models to estimate when a component is likely to fail. Maintenance 4.0 is the wider framework in which such techniques can live. A fleet can make real progress towards Maintenance 4.0 without any predictive model, simply by connecting vehicle data, digitising records and automating the steps between an alert and a completed repair.

What it means for a vehicle fleet

For most business fleets, the practical path is gradual:

• Digitise first: replace paper logbooks and spreadsheets with one maintenance record per vehicle.
• Connect vehicles: collect real mileage and warning data from connected vehicles or a telematics device.
• Automate the routine: reminders, approval steps and work orders triggered by rules.
• Analyse: use the accumulated history to compare models, spot repeat failures and plan renewals.

The value comes less from the technology itself than from the consistency of the data and the discipline of the processes built on it.

How Dadycar helps

Dadycar is a French fleet management software that brings the practical foundations of Maintenance 4.0 to business fleets. Telematics works without a box on compatible connected vehicles, with a device as an option, to feed real mileage and alerts. Workflow automation, reminders and work orders turn events into tasks, and the platform includes Donna, the Dadycar AI agent. Data is hosted in France with OVHcloud.

FAQ

Is Maintenance 4.0 only for factories?
No. The concept comes from industry, but the same principles apply to vehicle fleets: connected assets, shared data and automated workflows.

Do you need predictive models to do Maintenance 4.0?
No. Digitised records, connected vehicle data and automated workflows already deliver much of the value. Predictive models are an optional, more advanced layer.

Where should a fleet start?
With a single digital maintenance record per vehicle and accurate mileage. Without clean data, more advanced tools have little to work with.