Predictive maintenance is a major evolution from preventive maintenance.

Preventive maintenance is based on fixed intervals (e.

g.

, changing the oil every 15,000 km).

It's a 'just-in-case' approach that often leads to replacing parts that are still functional.

Predictive maintenance, on the other hand, is conditional and personalized.

It continuously analyzes real-time operational data: engine vibrations, oil temperature, fault codes, etc.

An AI algorithm compares these signals to learned failure patterns.

If the model detects an anomaly indicating a high probability of a water pump failure within the next 1000 kilometers, it triggers an alert.

The manager can then schedule the intervention in a targeted manner.

The benefit is twofold: it prevents a disabling breakdown on the road, and the part is only replaced when it truly reaches the end of its useful life.