Last-mile mapping is yesterday’s news. Here Technologies said it can deliver last-meter mapping for automotive and commercial vehicle manufacturers requiring greater precision.

That means a truck can not only be guided to a delivery location – with truck-specific details such as height restrictions along the way – but to the very loading dock door to which that truck will deliver.

At a House of Journalists demonstration at CES 2026, Here outlined its ability to unify navigation, driver assistance and automated driving around a single, continuously updated map.

You may not have heard of Here, and that’s by design. Its mapping underlies the in-vehicle mapping provided by truck and car OEMs or other vendors. It is using artificial intelligence to improve mapping accuracy for software-defined vehicles (SDVs).

Remco Timmer, senior vice president, product management and automotive solutions with Here Technologies, noted better maps not only improve routing for commercial vehicle operators, they also are becoming the foundation for safety systems, electrification, automation and large-scale fleet optimization.

One map for navigation, ADAS, and automation

Timmer emphasized consolidation is one of its objectives. Instead of maintaining separate maps for navigation, advanced driver assistance systems (ADAS), and automated driving, Here says its SDV portfolio relies on a single “unified map” that feeds all vehicle domains.

Timmer said the company’s AI-powered live map can ingest probe data from more than 40 million connected vehicles globally, along with sensor inputs such as cameras, radar, and lidar, to identify road closures, construction zones, and hazards — often within hours, or minutes in high-traffic corridors. Those updates are then streamed back to vehicles for use in navigation and ADAS.

For trucking, that extends to commercial-specific attributes such as bridge heights, weight limits, material restrictions, and road width — data points that are often lacking or unreliable in consumer navigation apps.

From last-mile to last-meter mapping

Timmer emphasized that the same map data used in the cab is also driving fleet-level planning tools used by logistics providers such as DHL and Amazon.

Here says it supports “last-meter” navigation, allowing drivers to receive precise guidance from a parked vehicle to a specific delivery door, hospital wing, or loading bay — and to share that intelligence across fleets. Timmer noted this can help improve driver satisfaction and reduce costly driver turnover by more efficiently getting delivery drivers where they need to go and minimizing problems along the way.

The system can also factor in electrification, including depot charging, on-route charging availability, terrain, elevation, and temperature — a growing concern as delivery fleets experiment with battery-electric trucks and vans. In fact, Timmer noted Here has been active in pinpointing the locations of EV chargers, something that thus far has been a notoriously inaccurate and a frustration for EV drivers.

AI assistants move into the cab

Here also announced a collaboration with Amazon to integrate its navigation with Alexa Custom Assistant, enabling OEMs to deploy branded, conversational AI navigation systems in their vehicles.

The company said the same conversational tools could eventually support fleet managers and dispatchers, allowing operators to query routes, constraints, and delivery scenarios using natural language rather than traditional planning interfaces.

Implications for truck OEMs

For truck manufacturers, Here is positioning its SDV portfolio as a way to shorten development cycles and reduce integration costs as vehicles become increasingly software-driven. The company claims its development tools, can cut OEM research and development timelines by up to 70% and enable extensive virtual testing before trucks ever hit the road.

That may resonate with OEMs facing mounting pressure to roll out advanced safety and automation features while keeping vehicle costs in check.

Here said its location technology is now used in 238 million vehicles globally, with more than 63 million relying on its maps for ADAS or automated driving functions — a network that increasingly includes commercial trucks.