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Home Features

Introducing Radaro Route Optimisation 4.0

by Phillip Hazell
February 19, 2026
in Features, Freight
Reading Time: 7 mins read
A A
Radaro software uses truck-aware location intelligence to dynamically plan and adjust delivery routes. Image: Radaro

Radaro software uses truck-aware location intelligence to dynamically plan and adjust delivery routes. Image: Radaro

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Radaro has launched Route Optimisation 4.0, replacing car-based mapping with truck-aware, real-time routing to help large delivery networks plan and execute routes more reliably.

Radaro has released Route Optimisation 4.0, a major update to its delivery planning platform that replaces consumer-grade mapping with truck-specific routing and real-time location intelligence, allowing large delivery networks to plan and execute routes based on the actual constraints of commercial fleets.

In response to a significant increase in industrial market demand for Radaro’s capability, the release marks a structural change in how Radaro builds routes, shifting from car-centric navigation tools to HERE Technologies’ enterprise tour planning and location intelligence platform. The new engine is designed to account for heavy vehicles, mixed fleets, compliance rules, traffic conditions and real-time operational change, rather than simply finding the shortest path between stops.

According to Radaro CTO and co-founder Arie Spivak, the change is driven by the growing complexity of last-mile delivery operations across wider cross-industry utilisation.

“Route Optimisation 4.0 represents a step-change in Radaro’s technology by overhauling the routing engine and data platform at its core,” Arie says. “The most fundamental change is our migration from a consumer-orientated provider to HERE Tour Planning, which is purpose-built for complex logistics.”

Until now, many delivery platforms have relied on consumer vehicle navigation engines that do not account for truck restrictions, vehicle weight, low bridges or legally permitted routes. In practice, that has forced dispatchers and drivers to override or work around routes that look efficient on a map but cannot be driven by commercial vehicles.

“In practical terms, this means Radaro can now generate greatly enhanced routes that are purposefully optimised for mixed fleets and heavy vehicles,” Arie says. “Previous iterations were limited by consumer-grade routing. Version 4.0 introduces truck-ready intelligence and multi-vehicle route optimisation that were not possible before.”

From car maps to logistics-grade routing

HERE Technologies provides the underlying mapping, routing and tour planning layer that powers Route Optimisation 4.0. Its platform is designed specifically for commercial transport, incorporating road restrictions, vehicle dimensions, hazardous goods limitations, and live traffic data.

From HERE’s perspective, this type of capability has become essential as delivery networks become more complex.

“Delivery networks today are more complex than ever with mixed fleets, urban congestion, sustainability targets and rising customer expectations for speed and transparency,” says Daniel Antonello, Head of Oceania at HERE Technologies. “Static routing simply can’t keep pace. Route optimisation powered by location intelligence enables enterprises to move from manual planning to dynamic execution, factoring in real-world constraints like vehicle capacity, driver availability, road closures, real-time traffic conditions and truck-specific restrictions.”

Consumer-grade navigation tools are designed to optimise travel time for passenger vehicles. Truck-aware routing takes a different approach.

“Truck-specific routing considers vehicle size, load and height, legal restrictions, safer road choices, and the need to minimise exposure to sub-standard or temporary roads that were never designed for heavy vehicles,” Daniel says. “Ignoring these can lead to compliance risks, delays and safety hazards.”

By embedding those constraints into Radaro’s planning engine, Route Optimisation 4.0 produces enhanced routes that more closely align with how fleets actually operate on the road.

Multi-constraint planning at scale

The new routing engine does more than change the map data. It expands the number of variables that can be optimised in a single planning run.

“At its core is a multi-algorithm routing engine powered by AI and machine learning,” Arie says. “We work with highly complex enterprises with individually unique workflows. Rather than simply calculating the shortest path between stops, the engine evaluates and balances a rich set of advanced operational constraints, configured for each implementation.”

These include driver shift times, mandated breaks, fatigue rules, skill requirements and job complexity, as well as vehicle capacity, type and legal road access. Mixed fleets can be planned together, with jobs allocated to vans, trucks or trailers based on what they can physically and legally carry.

The system also incorporates historic and real-time traffic data, including incidents and closures, so that routes reflect what drivers are likely to encounter rather than idealised conditions. HERE’s Tour Planning and location services provide the road-level intelligence behind that process, while Radaro layers its own modular configuration of complex business rules, workflows and compliance logic on top.

A second major change introduced in Route Optimisation 4.0 is the way plans are managed once drivers leave the depot.

“In the past, many delivery operations would create a static route plan at the start of the day,” Arie says. “Once drivers hit the road, any unplanned event could destabilise the static plan.”

With 4.0, planning and execution are linked. Routes are built using live traffic, weather and last-minute order data. During the day, dispatchers can see each driver’s progress in real-time and adjust routes as conditions change.

“If a driver is running late on their third stop, the system knows this in real time,” Arie says. “Dispatchers can see these updates live and make informed decisions, like reassigning a delivery.”

HERE’s real-time traffic and hazard data extends that visibility beyond what vehicles can see themselves.

“HERE’s approach fuses vehicle- and infrastructure-level signals with traffic and hazard intelligence so the system can look ahead,” Daniel says. “This allows fleets to adapt mid-journey to avoid congestion or closures, maintain service levels and reduce fuel waste.”

The result is a delivery operation that updates continuously rather than relying on manual replanning when something goes wrong, bringing with it significant resource allocation benefits and operational efficiencies for Radaro clients.

Planning thousands of stops in minutes

Route Optimisation 4.0 is also designed to handle large delivery volumes quickly. Radaro says for its high volume parcel clients, the platform can plan up to 7,000 stops in under five minutes.

“This level of performance is enabled by a combination of powerful algorithms, cloud computing and continuous machine-learning improvements,” Arie says. “HERE Tour Planning underpins our routing engine, and it is optimised for solving large-scale routing problems quickly.”

Radaro’s cloud infrastructure allows computing power to scale with the size of the planning problem, while machine learning improves both speed and accuracy by learning from past routes.

“If the system consistently sees that a certain type of job takes longer than expected, it adjusts,” Arie says. “Over time, it builds a customised model of each customer’s operation.”

For high-volume retailers, couriers and third-party logistics providers, that speed supports later order cut-offs, more efficient warehouse picking, same-day changes and peak-season re-planning without adding manual workload.

Driver experience and compliance

Route Optimisation 4.0 also changes what drivers see on the road. Routes are built to be legally compliant, physically feasible and realistic in terms of time and workload.

“The system will not send a heavy vehicle down a road with a low bridge or into peak-hour gridlock when a safer alternative exists,” Arie says. “Stops are sequenced intelligently, with realistic allowances for delays and mandated rest breaks.”

Those routes are delivered through Radaro’s driver app, which presents highly configurable workflow tasks, navigation and compliance steps in a simplified, job-focused interface.

“A stress-free driver is a safer and more productive driver,” Arie says. “Our customers see drivers finishing shifts on time with less frustration.”

“Safety exposure, compliance gaps and fatigue blind spots are common when using car-centric or static tools,” Daniel says. “Truck-aware routing is essential to protect assets, drivers and brand reputation.”

Radaro sees Route Optimisation 4.0 as the foundation for future capabilities, rather than a one-off release.

“The architecture we have put in place means we can layer on more advanced AI-driven decision support,” Arie says.

As delivery volumes continue to grow, HERE expects location intelligence to play a larger role in planning and execution.

“We see dynamic, constraint-aware planning becoming standard, integration of sustainability metrics, and predictive logistics intelligence that anticipates disruptions before they occur,” Daniel says.

Over the next 12 to 24 months, both companies are focused on expanding global enterprise adoption and measurable operational outcomes, including improved on-time delivery, reduced planning effort and lower cost per stop. For operators dealing with increasingly complex delivery networks, Radaro’s Route Optimisation 4.0 reflects a shift away from navigation-based routing toward logistics-grade planning and execution, built around how fleets actually operate in the real world.

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