Case Study: DAF Trucks Boost Fuel Efficiency in Transport

Rising fuel costs are drying up operational profits. Logistics and fleet teams must align on buyer intent and bottom-funnel wins.

Modern Transport is Rewriting the Rules of Efficiency.

DAF’s XF trucks aren’t just another vehicle upgrade or engine update. They are cutting into fuel consumption, pushing performance into unpredictable spots, and leaving many operators with incomplete data.

Success now depends on breaking down silos:

• Sharing telematics insights.
• Aligning driver strategies.
• Moving together when the old playbooks no longer work.

The Black Box of Fuel Performance

Many transport brands are already seeing reductions in fleet efficiency, uptime, and performance across routes that once performed well.

Even though new trucks are now showing advanced onboard tech, many systems don’t provide a clear way to track them.

Just as a marketing professional may not fully see performance for AI results, fleet managers are also blind to placement data on fuel waste.

Here’s how the gaps show up for logistics teams today:

• Engine performance is a black box: DAF’s PACCAR engines optimise combustion and power delivery, but many operators lack a breakdown of how every drop of fuel is used.
• Same driver rules, new environment: Automated gear shifting and adaptive cruise control still run through standard driver input, so skill and awareness all matter – but the context is shifting.
• All the data gets lumped together: Just like Search Console, many onboard systems aggregate everything. If your truck wastes fuel, the cost is reported under the general “Operations” bucket, with no segmentation and no clarity.

With visibility this limited, DAF technology has an opportunity to step in and add value. By sharing what we’re seeing in telematics, we can help fleet teams make smarter decisions, faster.

When Smart Tech Redraws the Route, Logistics and Drivers Must Align

Advanced engines are reducing fuel waste, especially from top-of-funnel operational habits. Automated transmissions and cruise control were the warm-up.

Now, we’ve entered a new reality where sometimes it feels like the entire day’s operational data is condensed into AI-generated summaries on a telematics dashboard.

“Great fleet managers have been aligned with their drivers for a while now. I think that the difference now is that the journey has shifted so that there is less top of funnel waste, meaning that more ‘efficiency’ happens on the bottom of the funnel routes,” explains one leading logistics manager. “Since those routes need to work well for both the client and the operator, there are a lot of opportunities for collaboration between teams. As there should be.”

We’re seeing this shift echoed across the industry, too. This kind of collaboration isn’t a nice-to-have anymore. It’s table stakes for success in our new tech-dominated landscape.

Smarter Logistics and Fleet Collaboration in the Age of Advanced Transport

The most effective fleet managers are helping their teams work with the new technology to create a more cohesive and productive operation. This means they're helping their teams:

• Understand what’s causing changes in fuel performance.
• Craft training that mirrors how drivers are engaging with new tech.
• Determine how they can shift focus toward higher-impact behaviours.
• Spot new maintenance issues before they show up in your cost data.

Track fuel usage at the driver and route level

Not all routes trigger fuel waste yet. But for the ones that do, your team needs to know. Offer to set up a tagged driver list in your telematics tool where you track the most important routes in your operations.

Start flagging which behaviours are generating fuel waste, and what the fleet’s visibility looks like against benchmarks.

Sure, tracking all of your drivers might mean a small added cost, but these insights can help logistics teams:

• Reallocate drivers away from low-performing, fuel-dominated routes.
• Adjust strategies for routes with dropping efficiency.
• Explain performance score shifts with data-backed context.
• Determine the best strategy for high-intent deliveries.

Use telematics patterns to improve driver relevance

More than quick answers, telematics dashboards are curated summaries built to feel useful, and operators are starting to trust how they read. That’s a signal. It tells you exactly how to train drivers to be relevant and efficient in the same moment.

Think of telematics as free operational research. Watch for:

• Recurring actions: What behaviour keeps coming up? Harsh braking? Unnecessary idling?
• Tone: Is the driving pattern smooth, aggressive, or expert level?
• Route mentions: Are certain routes being cited for issues?

Now, use those insights and start testing training that mirrors what’s already winning on the road. If telematics surface phrases like “over-revving,” “coasting inefficiently,” or “long idling,” your drivers may perform better if you echo that language.

Flag zero and low-uptime issues early

DAF is making it easier than ever for operators to get ahead of breakdowns without waiting for a failure, and that trend is not going away anytime soon. Technical teams have access to a wealth of helpful data from tools like Babcock’s maintenance schedules and service reports.

We should:

• Flag which components are consistently being serviced directly in the schedule.
• Highlight those dominated by other uptime-reducing features like poor tyre management or alignment neglect.
• Share helpful data from service reports, such as which vehicles show the lowest and highest CTRs (Cost-To-Run).

This kind of data sharing fuels better testing and a smarter maintenance strategy on both the technical and operational side.

Monitor competitor mentions in operational results

One of the biggest missed opportunities in logistics and fleet collaboration is competitive intelligence. Babcock's teams are already monitoring routes daily, and can help logistics teams spot inefficiencies, shifts in load types, and new players faster. Watch for patterns with top competitors and new challenges that weren’t on your radar before, as well as the different types of routes and client intents being met.

Use this data to:

• Prioritise conquest campaigns against highly inefficient routes.
• Adjust positioning to stand out against inefficient practices.
• Spot new players emerging before they appear in your financial reports.

Collaboration is the Competitive Edge in Modern Transport

Advanced vehicle tech is shaking up our operational and maintenance playbooks and giving us a new, exciting edge. Logistics managers have access to real-time route shifts, AI-driven driver trends, and competitive visibility insights. Maintenance teams have the agility and data to act fast and capitalise on those trends.

Together, logistics and maintenance teams can build smarter strategies that thrive in a tech-dominated landscape.