Empty mileage - distance travelled by freight vehicles without carrying goods - remains a persistent operational and financial challenge across the UK logistics sector. It affects cost efficiency, driver productivity, carrier relationships, and progress towards environmental targets. As the demand for reliable and timely road freight grows, logistics professionals increasingly turn to digital management tools to reduce unproductive miles and unlock sustainable efficiency.

Modern software systems now enable a move away from spreadsheets and manual coordination. With advanced dashboards, real-time data, automated carrier matching, and centralised workflows, businesses can reduce manual intervention across transport jobs by as much as 80%, achieve up to 20% cost savings, and improve shipment reliability through optimised fleet allocation.

A robust road freight management solution empowers both shippers and carriers with the visibility and automation needed to measure, analyse, and minimise empty running. By orchestrating shipment requests, managing carrier networks, leveraging transport tenders, and automating routine processes, organisations tackle empty mileage with actionable, data-driven strategies.

What Are Empty Miles? Key Definitions and Their Impact

Understanding empty mileage is essential for any team focused on operational improvement and sustainability in transport management.

Defining 'Deadhead' vs. 'Backhaul' in Freight Transport

• Deadhead: A term for trips where a vehicle (such as a lorry) travels empty, usually after delivering cargo and returning without a load.

• Backhaul: The planned return journey where a load is secured for the trip home, transforming what would be empty running into productive transport activity.

The distinction is straightforward: all deadhead miles are empty, but effective use of backhaul assignments replaces a wasted journey with revenue-generating work.

The Cost of Empty Miles: Fuel Consumption, Labour, and Carbon Emissions

• Fuel and Labour Inefficiency: Empty running wastes fuel and driver time without corresponding revenue, and adds to maintenance, tyre wear, and insurance burdens.

• Carbon Emissions: Empty trips contribute directly to increased emissions per kilometre of paid freight, pressuring logistics teams to find sustainable solutions.

• Operational Risks: Ad hoc or unreliable planning leaves trucks underused, incurs higher costs per shipment, and weakens carrier partnerships.

Industry Statistics on Empty Mileage in UK Road Freight

• Official reports estimate that up to 29% of HGV mileage in the UK each year consists of empty running.

• Digital optimisation holds potential to reduce empty mileage by up to 64% with strong adoption of modern tools and collaboration.

• Properly managed backhauls deliver an average of 11.4 fewer empty miles per shipment for affected routes.

• Empty mileage is measured by the percentage formula: (total empty miles ÷ total vehicle miles) × 100%.

Why Freight Management Tools Are Essential to Reducing Empty Mileage

Sophisticated transport networks and volatile demand patterns make manual coordination unsustainable, especially as shipment volumes scale. Digitalised freight management brings control, speed, and adaptability to the process of minimising idle miles.

Role of Transport Management Systems (TMS) in Centralised Visibility and Control

• Dashboards: Provide actionable visibility over shipments in progress, truck and trailer locations, and pending requests.

• Centralised Coordination: Unifies the management of carrier networks, tenders, allocations, and communications within one system.

• Structured Workflows: Built-in tools for issuing shipment requests and monitoring responses raise accountability and reduce risk of missed loads.

• Status Tracking: Automated notifications and proof of delivery features close information gaps between dispatchers and drivers.

A road freight software platform such as Phleetto exemplifies full-scale logistics digitalisation, centralising every key element of transport operations.

AI and Machine Learning for Demand Prediction and Route Optimisation

• AI detects trends in historical data to anticipate volume spikes, propose suitable trucks by region, and automate return load assignments.

• Machine learning dynamically adjusts routing based on daily inputs like weather disruptions, traffic data, and carrier availability.

• Optimised trip sequencing reduces empty legs and improves planned fleet efficiency, adjusting quickly to last-minute changes.

Digital Freight Matching Connecting Shippers with Carriers via Carrier Networks

• Digital platforms instantly pair shipment requests with suitable carriers using algorithmic matching, accelerating both tender response and backhaul recovery.

• Shippers build private or public carrier networks to offer transport jobs to pre-vetted partners, compare offers, and allocate loads based on performance, price, or availability.

• Notifications via web or mobile UI keep drivers and planners informed about new opportunities for return cargo.

• API-driven automation ensures communication and status updates occur without the delays inherent in email or phone-based coordination.

These advances in workflow automation and API integration underpin measurable gains in time savings, fill rates, and overall transport reliability.

Top Strategies to Effectively Reduce Empty Mileage

Optimising asset use and minimising empty kilometres requires targeted strategies supported by collaborative technology.

Enabling Backhaul Opportunities Through Collaborative Planning

• Shippers and carriers share shipment calendars, delivery patterns, and volume forecasts to pre-arrange backloads for vehicles leaving delivery points empty.

• Collaborative tools featuring real-time tendering and instant assignment strengthen multi-party alignment for regular lanes or ad hoc requirements.

• Improved backhaul planning by leveraging networked carriers translates directly to a drop in deadhead miles.

Load Consolidation and Sharing Capacity Across Transport Partners

• Aggregation of shipments, particularly for smaller consignments or similar routes, boosts fill rates and cuts partial and outright empty running.

• Cross-partner collaboration - enabled by shared dashboards - unlocks underutilised space, particularly during off-peak periods.

Utilising Drop-and-Hook Operations and Trailer Pools

• Drop-and-hook means drivers no longer wait for live unloading; instead, they exchange loaded and empty trailers at depots, maintaining movement and minimising delays.

• Shared or multi-client trailer pools enable rapid asset turnover and greater flexibility for backhaul planning without affecting uptime.

Diversifying Modal Mix Through Intermodal Transport Strategies

• Strategic use of rail, barge, or other transport modes - alongside road - reduces the length of empty truck runs, especially over trunk routes with predictable patterns.

• This approach is effective for large shippers with established intermodal terminals or adaptable delivery windows.

Table: Comparison of Freight Management Strategies

Implementing Freight Management Software: A Practical Guide

Rolling out an advanced freight management system involves operational review, technical integration, training, and refinement to achieve the desired reduction in empty mileage.

Operational and Technical Steps

• Audit Current Utilisation

  • Quantify vehicle usage, empty mileage per lane, and incidence of manual data handling.

  • Document consistency, completeness, and accessibility of shipment, routing, and carrier data.

• System Selection

  • Evaluate whether a cloud SaaS or on-premise TMS fits your operational model, considering user access (web, mobile UI), scalability, and business continuity.

  • Review projected team size and volume to inform pricing for freight management software, ensuring transparency and suitability for projected usage.

• Integration with Key Platforms

  • Prioritise transport management solutions that support API integration and structured EDI workflows, ensuring seamless data flow across ERP, WMS, and existing internal systems.

  • Integrate carrier mobile apps, vehicle telematics, and proof of delivery functionalities with internal tracking and reporting systems.

  • Review Phleetto API integration capabilities for automating carrier onboarding, tendering, notifications, and workflow steps with minimal manual effort.

• Carrier and Network Onboarding

  • Invite both long-standing and new carriers to your managed network within the platform, formalise onboarding, and establish collaboration standards for shipment allocation and backhaul sharing.

• Training and Change Management

  • Facilitate onboarding sessions for dispatchers, planners, and drivers covering new workflows, mobile tools, tendering processes, and digital communication.

  • Address adoption barriers, routinely gathering feedback from users to assess usability, automation satisfaction, and areas requiring further support or refinement.

• Ongoing Monitoring and Optimisation

  • Deploy real-time KPIs via dashboards: empty mileage percentage, on-time pickup/delivery, response rates to shipment requests, and proof of delivery document management.

  • Regular audits of system use and outcomes uncover latent inefficiency or non-compliance with process best practice.

Core technical features to emphasise:

• Live shipment dashboards and automated notifications

• Carrier matching, proof of delivery, and secure document exchange

• Data integration via SFTP or structured files for sensitive consignment updates

Common Challenges and How to Overcome Them

Organisations moving from manual to automated freight management encounter specific operational and compliance challenges.

• Manual Data Risks

  • Spreadsheets and ad-hoc communication cannot adjust to shifting supply and demand scenarios in real time, leading to poor fleet utilisation.

  • Limited visibility results in missed return load and consolidation opportunities.

• Driver Involvement

  • Drivers disconnected from planning tools or sceptical of digital workflows may underreport load status, affecting data accuracy and planning.

  • Regular engagement and training ensure accurate updates, with feedback loops for process improvement.

• Carrier Data and Forecast Sharing

  • Underestimating the importance of forecast transparency for carriers leads to unplanned empty routing and undermines collaboration.

  • Commitment to timely, accurate data exchange improves partnership performance and enables proactive backhaul planning.

• Data Protection, Privacy, and Compliance

  • Freight management platforms must align with UK and EU GDPR, safeguarding all personal and operational data.

  • Consult your data protection and privacy policy to stay informed on rights, obligations, and best practices for consent and information security.

This content provides general guidance only and does not constitute legal advice. Review your internal compliance processes and consult professionals as appropriate for your circumstances.

Emerging Trends: Autonomous Fleets and Simulation Tools

Technological advances are shaping new frontiers in empty mileage optimisation for road freight operations.

• Autonomous Fleets and Optimised Network Design

  • The eventual adoption of driverless trucks could allow for automated, continuous reassignment of loads and routes, maximising vehicle utilisation around the clock.

  • Early trials suggest improved response to variable demand and less risk of human error, although regulatory and technical hurdles remain.

• Use of Digital Twins and Scenario Simulation

  • Digital twins replicate real freight operations digitally, enabling managers to trial new route plans and test the effect of process change or network redesign without real-world disruption.

  • Simulation informs investment prioritisation, validates empty mileage reduction strategies, and measures realised versus projected ROI.

Trend highlights:

• Data analytics, simulation models, and automation are becoming integral to sustained reduction of wasted miles.

• Investment in these areas supports long-term operational improvement and competitive advantage.

Frequently Asked Questions (FAQs)

• What is the difference between 'deadhead' and 'backhaul'?
  Deadhead refers to running a fleet vehicle with no load - most commonly the return leg after a completed delivery. Backhaul involves planning a loaded return journey, reducing empty miles and increasing revenue per trip.

• How much can empty miles be reduced with freight management tools?
  Modelled deployments suggest that digital solutions with network optimisation can cut empty mileage by up to 64%, subject to fleet mix, regions served, and current workflow maturity.

• How do Transport Management Systems improve freight efficiency?
  TMS platforms consolidate core data and automate shipment planning, carrier matching, and load status updates, significantly reducing the time required for manual coordination.

• What is digital freight matching and how does it reduce empty mileage?
  Digital matching pairs every available vehicle with new or return shipments by automatically scanning the carrier network and proposing the best combination, reducing both admin and resource waste.

• What are drop-and-hook operations?
  Drop-and-hook operations involve delivering a loaded trailer at a depot and picking up another for the next trip. This uninterrupted movement limits downtime between jobs and minimises empty running.

• Why is carrier forecast sharing important?
  When shippers communicate volume and schedule forecasts clearly, carriers can plan their resources and backloads with greater certainty, cutting down on last-minute empty runs.

• How is empty mileage percentage calculated?
  The formula is simple: total miles travelled empty divided by total miles overall, then multiplied by 100. For instance, if 40 miles out of 160 are empty, the rate is 25%.

• How do AI and machine learning support route optimisation?
  AI processes historical and real-time data to predict demand changes, update proposed routing, and assign shipments to suitable vehicles before empty miles accumulate.

• Can load consolidation significantly impact empty mileage reduction?
  Yes, well-managed consolidation - particularly for shared routes - substantially increases load fill rates and reduces the incidence of partially filled or empty journeys.

• What common challenges should be anticipated when implementing freight management solutions?
  Challenges include incomplete shipment data, resistance to adopting new tools among staff, and the need to update data compliance frameworks.

Reducing empty mileage in UK freight operations calls for a blend of best-practice strategy, transparent collaboration, and technical execution. By embracing logistics digitalisation through a Phleetto road freight software platform supporting API integration, workflow automation, and real-time dashboards, logistics teams position themselves for measurable cost savings, higher service reliability, and scalable growth.

For shippers, carriers, and logistics managers ready to future-proof transport operations: Sign up today for a free 14-day trial and see the benefits of digital freight coordination in action.