IN Brief:
- The autonomous electric truck is operating on a public-road route from Lidl's Edermünde distribution operation to a nearby store.
- It carries 15 Euro pallets and can make up to three trips per day during the first four months.
- Lidl plans to progress towards a multi-stop milk-run operation after validating the initial route.
Lidl and Einride have started Level 4 autonomous store deliveries on public roads in Germany, using a cabless electric truck between Lidl’s distribution operation at Edermünde and a nearby retail location.
The vehicle is operating under approval from Germany’s Federal Motor Transport Authority and has capacity for 15 Euro pallets. During an initial four-month programme, it can make up to three store deliveries per day and is expected to handle the dry-goods volume allocated to the route.
Lidl estimates that the vehicle could move more than 3,000 pallets during the project period. Those are routine replenishment volumes rather than occasional test loads, putting the truck inside a scheduled distribution process with established loading, delivery, and receiving requirements.
The route provides a relatively controlled environment for Level 4 freight. It links known logistics points, carries repeat traffic, and operates inside a network with predictable store requirements, reducing some of the variability that would accompany general long-haul or open-ended multi-customer transport.
SAE Level 4 automation allows the driving system to perform the driving task within a defined operating domain without depending on a human driver to take control during normal operation. The commercial question is therefore wider than whether the vehicle can navigate the route: dispatch, loading, charging, fleet monitoring, site access, receiving, and exception handling have to work around the autonomous movement.
Lidl’s German network provides considerable scope for controlled repeat routes. The business operates more than 3,250 stores and 39 administrative and distribution centres in Germany, giving it a dense set of fixed origins and destinations against which autonomous freight can be tested before any wider rollout.
The first route is intentionally narrow. Lidl plans to validate the operation before moving towards a multi-stop milk-run model at another site, where one truck would serve several calls rather than repeat a simple point-to-point journey.
That second phase will increase the planning burden. Each additional stop introduces another delivery window, access point, unloading process, and opportunity for delay, while disruption early in the route can affect every later call.
A multi-stop operation would also resemble normal retail logistics more closely. Distribution fleets routinely combine deliveries to improve vehicle utilisation, so an autonomous system ultimately has to cope with route sequencing and variable dwell times rather than demonstrating reliability on one repeated link.
The vehicle’s battery-electric powertrain adds another planning requirement. Charging has to fit around store-delivery schedules and available vehicle hours, while the operating plan has to retain enough energy margin for traffic delays, auxiliary equipment, repositioning, and other deviations from the nominal route.
Short, repeatable store runs provide a practical environment for managing those limits because distance and duty cycle can be modelled more accurately than on irregular long-haul work. They also allow charging infrastructure to be concentrated at known fleet locations rather than relying on a public heavy-vehicle network.
Autonomous freight is frequently presented as a response to driver shortages, although the labour requirement changes rather than disappears. Fleet supervision, software support, charging, loading, maintenance, safety management, and remote operational intervention remain necessary even when a person no longer performs the driving task inside the vehicle.
Regulatory approval remains another constraint on deployment. A vehicle can perform successfully on private land and still have limited logistics value if it cannot legally run between warehouses, stores, ports, or other public-road locations. The German authorisation therefore puts the project beyond the closed-site testing that has characterised many autonomous vehicle programmes.
Lidl now has an opportunity to measure the vehicle using ordinary distribution metrics. Delivery punctuality, pallet throughput, vehicle availability, charging performance, intervention rates, loading time, and disruption recovery will provide a clearer indication of commercial usefulness than autonomous-driving mileage alone.
The planned milk-run phase should provide the more demanding test. A vehicle that can operate reliably between two fixed points has demonstrated a technical and regulatory capability; one that can absorb several stops while preserving delivery sequence and utilisation begins to address the planning problem faced by working logistics fleets.
The current four-month programme gives Lidl a defined operating period in which to establish that baseline. With up to three trips per day and more than 3,000 pallets potentially moving through the route, the project should generate enough routine activity to show where cabless Level 4 delivery fits — and where conventional fleet operations still have to compensate for it.
