Preventive maintenance (PM) is the practice of performing regular, planned servicing on vehicles and equipment — regardless of whether a problem is currently visible. The goal is to prevent failures before they occur by addressing wear and tear on a fixed schedule based on time, mileage, or usage hours.

This is the most widely adopted maintenance strategy for fleets and equipment, and for good reason: it is far cheaper than reactive repairs, extends asset lifespan, and keeps vehicles roadworthy and compliant.

Predictive maintenance uses real-time data, sensors, and AI analytics to forecast when a vehicle or piece of equipment is likely to fail — before it actually does. Rather than servicing on a fixed schedule, you service at exactly the right moment: not too early (wasting parts and labour) and not too late (risking a breakdown).

Predictive maintenance is the most sophisticated and cost-efficient strategy available today. It combines telematics data, usage patterns, historical maintenance records, and AI modelling to surface alerts at precisely the right time.

Corrective maintenance — also called reactive maintenance — is the repair or restoration of a vehicle or piece of equipment after a fault or failure has already occurred. It is the most expensive and disruptive form of maintenance, yet it remains unavoidable in some situations.

The goal is not to eliminate corrective maintenance entirely — some failures are simply unforeseeable. The goal is to minimise it through better planning, and when it does occur, to execute the repair quickly and cost-effectively with a well-managed workshop process.

Condition-based maintenance (CBM) triggers maintenance actions based on the actual measured condition of an asset — not a fixed schedule and not a failure event. If the oil is still within specification, you don't change it. If the tyre tread is still above the minimum threshold, you don't replace it. You act when the data says to act.

CBM is closely related to predictive maintenance but focuses specifically on real-time condition monitoring rather than AI-modelled failure forecasting. It is particularly valuable for high-value equipment where over-servicing is as costly as under-servicing.

Scheduled maintenance is the umbrella term for any maintenance that is planned and carried out at predetermined intervals — typically defined by the manufacturer, a regulatory body, or internal company policy. It includes everything from weekly driver vehicle inspections to annual roadworthy certifications.

In the South African context, scheduled maintenance is also a compliance requirement. Operating a vehicle or piece of equipment that is not roadworthy, unlicensed, or past its mandatory inspection date exposes your business to fines, legal liability, and operational shutdowns.

Emergency maintenance is immediate, unplanned intervention required when an asset fails suddenly and its failure creates a safety risk, operational crisis, or significant financial impact that cannot wait. Unlike standard corrective maintenance, emergency maintenance is characterised by urgency — resources are mobilised immediately regardless of scheduling or cost.

Emergency maintenance is the most expensive type of maintenance per incident, not just in parts and labour but in lost productivity, supply chain disruption, and customer impact. The primary goal of every other maintenance strategy is to reduce the frequency of emergency maintenance events to as close to zero as possible.

Deferred maintenance refers to maintenance work that has been identified as necessary but deliberately postponed — typically due to budget constraints, parts availability, or operational pressures. While deferral is sometimes a practical necessity, it carries compounding risk: the longer a known maintenance need is deferred, the more expensive and dangerous it becomes.

Managing deferred maintenance requires clear visibility of what has been deferred, for how long, and what the risk profile is. Without a system, deferred items are forgotten — and they resurface as emergency failures at the worst possible moment.