How to Reduce Empty Miles in Road Freight
Learn how transport operators can reduce empty miles with better planning, job visibility, carrier coordination and faster, data-led dispatch decisions.
A lorry returning empty after a delivery is not simply an unavoidable cost of doing business. It is paid-for fuel, driver time, vehicle capacity and road miles producing no revenue. To reduce empty miles, operators need to treat return movements as a planning problem with commercial, operational and customer-service consequences - not a last-minute dispatch gap.
For haulage and container transport businesses, the issue is rarely a lack of work alone. More often, jobs, vehicle positions, driver availability, collection windows and documentation sit in different places. By the time the planner can see a possible backload, the vehicle has already started travelling empty.
Why empty running is harder than it looks
Empty mileage is often measured as a fleet-level percentage, but it is created job by job. A planner may have a collection near a delivery point, yet be unable to use it because the collection is outside the driver’s hours, the equipment does not match, the customer has not confirmed the slot, or the vehicle needs to return for another committed job.
Container operators face additional constraints. A vehicle may need to collect an empty, return a laden box, visit a depot, meet a port cut-off or manage a time-sensitive demurrage risk. These movements can appear inefficient on a map while being operationally necessary. The aim is not to eliminate every empty leg. It is to identify the empty legs that are avoidable and make better decisions before they become fixed.
That distinction matters. Pushing every vehicle towards the nearest possible load can increase late deliveries, create waiting time or leave the business unable to service high-value customers. Better utilisation should improve margin and service reliability together.
Build planning around the next profitable movement
The most effective planning teams stop viewing a job as a standalone movement from collection to delivery. They plan the vehicle’s next position before assigning the current job.
When a planner allocates a delivery, the immediate question should be: where will this vehicle, driver and trailer be when the job is complete, and what work can follow? This changes planning from reactive allocation to a sequence of connected movements.
For repeat lanes, look at historical demand by day and time. A delivery into a region with regular outbound work may justify a lower inbound rate because the return leg is likely to generate revenue. A lane with consistently weak backhaul potential needs different pricing, a different service design or a clearer acceptance rule.
This is especially useful when quoting new work. Commercial teams should not price a job only from the outward mileage and a standard margin. They need visibility of expected repositioning mileage, likely waiting time and the probability of a usable backload. A cheap rate into an area where vehicles routinely return empty can quietly erode profit across the fleet.
Use live job visibility to reduce empty miles
A planning board or jobs grid should show more than unallocated work. It needs to give dispatchers a current view of each vehicle’s location, assigned jobs, planned finish time, equipment type and next available position. Without that operational picture, finding a backload becomes dependent on individual memory and phone calls.
The practical value comes from joining information that is usually fragmented. A delivery status update changes vehicle availability. A POD confirms completion. A cancelled collection releases capacity. A late-running driver may make a collection impossible, so the planner needs to see the impact before assigning another job.
The highest-value exceptions are usually visible in the final hours before a vehicle goes empty. Set up a disciplined review of:
- vehicles finishing in areas with no planned follow-on work;
- unallocated collections close to delivery locations;
- jobs that can be moved between compatible vehicles without breaking service commitments;
- containers, trailers or chassis that require repositioning; and
- drivers approaching limits that restrict a potential backload.
This is not about creating more admin. It is about directing planner attention to decisions with a measurable cost. AI-assisted dispatch can help by surfacing viable job and vehicle matches, but the planner still needs to judge customer priorities, local conditions and the commercial value of the move.
Tighten the hand-off between dispatch and customer service
Many empty miles are created by uncertainty. A collection that is not confirmed until late in the day may cause a vehicle to leave an area without waiting for the load. A customer service team may know that a collection can move by two hours, while dispatch plans on the original time window. Neither team is wrong, but disconnected updates lead to unnecessary repositioning.
A single transport management workflow gives dispatch, operations and back-office teams one version of the job. Collection and delivery requirements, appointment times, driver notes, documents and status changes should be visible where planners make allocation decisions.
Customer communication also matters. If customers can submit jobs, check status and access delivery documents through a portal, fewer updates depend on emails and calls. That does not guarantee a backload, but it gives planners earlier, more reliable information to work with.
For time-critical work, agree the rules in advance. Which customers accept flexible collection windows? Which deliveries can be completed by a different driver or vehicle? Which sites charge for missed slots? Clear operating rules let the team act quickly without asking for approval on every exception.
Improve data quality before adding more capacity
If job addresses are incomplete, service times are guessed, equipment requirements are buried in notes or delivery statuses are updated late, route and allocation decisions will be unreliable. More vehicles will not fix poor information flow.
Start with the data fields that directly affect planning: accurate postcodes, collection and delivery windows, vehicle and trailer requirements, load dimensions or weight where relevant, site constraints, driver availability and actual completion times. Standardise them in the job entry process rather than asking planners to interpret free-text instructions.
POD capture has a role beyond customer service and invoicing. A completed digital POD tells the office that the vehicle has finished, supports faster billing and reduces the lag between physical execution and planning visibility. In container work, documented milestones such as empty collection, port arrival and return status are equally valuable for keeping the operation current.
Logivo brings job management, dispatch, POD and invoicing into connected transport workflows, helping operators act on live execution data rather than reconcile it after the fact. The value is not just a cleaner screen. It is fewer decisions made with stale information.
Measure the right causes, not just the percentage
Empty-mile percentage is a useful headline metric, but it does not explain what to fix. Review it by depot, lane, customer, vehicle type, planner, day of week and movement purpose. A high figure caused by paid equipment repositioning needs a different response from one caused by late job visibility.
Track empty miles alongside revenue per vehicle day, gross margin per lane, on-time performance, waiting time and missed collection slots. Otherwise, a team can reduce empty distance by accepting low-rate backloads that consume driver hours and weaken overall returns.
Ask a small set of operational questions each week: Which delivery areas have the weakest return load coverage? Which customers create the most unplanned repositioning? How often are jobs added too late to pair with an existing movement? Which assets are moving empty because their status or availability is unclear?
The answers should produce specific actions, such as changing a cut-off time, consolidating work into defined days, adjusting a rate, improving a customer booking process or building a carrier partnership for a particular region.
When external capacity is the better answer
There are times when using a subcontractor is more profitable than sending one of your own vehicles empty to cover a collection. This can be true when the collection is remote, when it disrupts a committed schedule or when the return lane has consistently poor demand.
The decision should be based on the full cost of repositioning, not just the subcontractor rate. Include fuel, wages, vehicle wear, driver hours, the opportunity cost of losing another job and the service risk created by moving the fleet out of position.
Reliable carrier relationships can also turn one-way lanes into more balanced networks. The key is to share accurate availability early and confirm responsibility for PODs, delivery notes, status updates and invoicing data. A backload that creates paperwork disputes or delayed billing is not as profitable as it first appears.
Reducing empty mileage is a continuous operating discipline. Give planners current information, build follow-on work into every allocation, and use lane data to challenge unprofitable habits. Each saved empty leg may look small in isolation, but across a fleet it creates more capacity for the work that pays.