Helping fleets cut costs and extend vehicle life

Steven Fabricius, general manager: service commercial at UD Trucks South Africa (UDTSA), says the company’s latest advances in optimised maintenance scheduling are helping fleets manage rising operational pressures while extending the lifespan of their vehicles.

Predictive maintenance, tailored servicing plans and data-driven workshop planning are becoming essential tools for transport operators seeking greater cost control and uptime. This is why UDTSA’s maintenance scheduling focuses so closely on these aspects.

“Our philosophy is based on predictive and preventive maintenance,” Fabricius explains. By leveraging telematics and real-time service data, the team is able to identify potential issues well before they escalate into expensive failures. This not only minimises the risk of roadside breakdowns, but also avoids unnecessary interventions.

A central pillar of this approach is UDTSA’s ability to tailor maintenance plans to the specific needs of different fleet types. With operators working across varied duty cycles, loads and environments, maintenance schedules must reflect the realities of day-to-day operation. “We customise service intervals and component checks based on usage patterns, load profiles and operating environments,” notes Fabricius.

Telematics-driven planning tools

UDTSA’s Workshop Planner system is proving to be a powerful tool in helping operators avoid both over-servicing and unexpected downtime. Acting as a central hub for maintenance scheduling and resource coordination, it draws on telematics rather than generic time-based intervals. “The system ensures maintenance is performed only when needed, based on actual data,” Fabricius expands. This improves operational predictability, streamlining workshop activities and ensuring that technicians and parts are available at the right moment.

Telematics also plays a critical role in improving forecasting accuracy. UDTSA’s connected systems continuously monitor indicators such as engine performance, brake wear and fluid levels. These inputs are processed through predictive algorithms that determine future service needs with precision. Fabricius says this capability enables truly proactive servicing and significantly reduces downtime risk.

Many fleet owners continue to face familiar maintenance challenges: reactive repair habits, inconsistent service intervals and poor parts planning. Fabricius warns that these pitfalls often lead to higher costs and reduced vehicle availability; this is where structured, data-led scheduling can make a measurable difference. “Our optimised scheduling ensures parts availability and technician readiness, and it reduces emergency repairs that inflate costs,” he says.

Reliable parts, proficient service

Quality parts and technical proficiency remain essential to achieving long-term cost efficiency. UD Genuine Parts – engineered for durability and compatibility – lower the likelihood of premature failures. When paired with the expertise of factory-trained technicians, including UDTSA’s Master Technicians, the outcome is consistent, high-quality repair work. “We make sure repairs are done right the first time,” Fabricius emphasises.

To support customers further, UDTSA recently enhanced its workshop planning ecosystem. Integrated dealer systems, improved telematics dashboards through the My UD Fleet platform and extended service hours are giving customers more flexibility and real-time visibility. Feedback has been positive, with operators reporting smoother booking processes and fewer delays. Customers have highlighted “better visibility of ETAs, streamlined booking and reduced downtime” as key advantages.

The results of this approach are already visible on the ground. Fabricius cites a recent case in which a regional fleet implementing predictive scheduling achieved a 30% reduction in unscheduled downtime, while extending service intervals without compromising reliability. The improved maintenance structure delivered clear savings on parts and fuel and boosted delivery performance.

By integrating predictive analytics, tailored scheduling and advanced workshop planning, UDTSA is helping operators transition from reactive maintenance to a smarter, value-driven model – one that protects uptime, reduces unnecessary cost and ensures vehicles deliver maximum lifespan value.