How AI Load Management Reduces Empty Miles

Updated September 2026.

AI load management reduces empty miles by lining up the next load before the truck goes empty: it forecasts where trucks will free up, scans available freight against equipment and hours, re-sequences stops as the day changes, and learns which lanes send you home empty. ATRI put empty miles at 16.7 percent of all miles in 2024 (ATRI, 2025 Operational Costs of Trucking, July 1, 2025), so on a 100,000-mile truck that is about 16,700 miles fuelled, insured and driven for nothing. Here are the five ways the software attacks that number, and what a dispatch board built on one trip record does about deadhead with or without it.

5 Ways AI Load Management Reduces Empty Miles and Improves Efficiency

AI load management acts as an intelligent layer to your operations with the ability to identify patterns and opportunities that are difficult for a human dispatcher to spot in real-time. This technology is becoming more and more essential to the success of trucking companies, as data from the American Transportation Research Institute (ATRI) indicates that empty miles rose to an average of 16.7 percent in 2024 (ATRI, 2025 Operational Costs of Trucking, July 1, 2025), and ATRI's July 15, 2026 report notes deadhead stayed high in 2025. That is the waste the software attacks.

Here are five ways this technology eliminates empty miles and improves efficiency:

1. Predictive Load Matching

Predictive load matching uses historical data and market trends to anticipate where capacity will be needed before a truck even reaches its current destination. With the ability to forecast future availability, a TMS with AI load management capabilities can secure a high-paying backhaul in advance, ensuring the driver never has to deadhead out of a delivery zone.

2. Automated Freight Matching

Instead of manually searching load boards for freight, AI-driven systems have the ability to automatically scan thousands of available shipments to find the perfect pairings for idle assets based on equipment type, location, and driver hours. This eliminates time-consuming phone tag between brokers and dispatchers, quickly filling gaps in a truck and driver’s schedule with the most profitable options.

3. Real-Time Route Optimization

Real-time AI route optimization dynamically adjusts a driver’s path based on live traffic, weather, and sudden dock delays. If a primary route becomes congested or a new, closer load becomes available in the middle of a trip, the system recalculates the route instantly to keep the truck moving on the most fuel-efficient route possible.

4. Optimized Load Capacities

AI has the ability to do more than analyze just where a truck is going: it analyzes how much room is left inside the trailer. By examining weight and volume (cube) data, the system identifies opportunities for load consolidation, allowing companies to combine multiple Less-Than-Truckload (LTL) shipments into a single trailer, effectively reducing the total number of trips required, eliminating empty miles, and increasing profits.

5. Continued Learning and Improvement

The greatest strength of AI is that it continues to learn and improve with every mile driven. By analyzing the outcomes of previous trips, the system identifies which lanes consistently lead to empty miles and suggests strategic shifts in your freight network to balance high-demand areas with profitable backhaul opportunities.

What Is the Value of AI Load Management?

The primary goal of implementing AI into your trucking company’s workflow is to transition from a reactive operation to a more proactive freight operation. By automating complex logistical decisions, you allow your team to focus on building relationships with customers and growing the business.

Key Benefits of AI Load Management:

• Increased Fuel Savings: Decreasing the number of empty miles directly translates to reduced fuel use and a smaller carbon footprint.
• Increased Revenue Per Mile: By filling backhauls and consolidating LTL loads, you maximize the earning potential of every truck in your fleet.
• Improved Driver Retention: Drivers are more satisfied when they are moving profitable freight rather than driving empty, leading to better work-life balance and higher pay.
• Enhanced Customer Service: Faster, more accurate load matching and real-time ETAs build trust with customers and help secure lucrative contracts.

Related: AI in Trucking: What It Actually Does for Fleets in 2026

The starting point is a dispatch board that already knows where every truck will be empty tomorrow. TransPlus Fleet Manager builds every load on one trip record so dispatch can see the gap and fill it; see trucking dispatch software or book a personalized demo, scheduled the same week you ask, with no commitment.

Empty miles questions

Can AI reduce empty miles?

Yes, by matching the next load to where a truck will be empty rather than where it is now, and by learning which lanes usually run home empty. The gain depends on the freight available in the lane: software cannot conjure a backhaul out of a region with no outbound freight, but it can stop a dispatcher committing a truck there without pricing the deadhead.

How does a TMS reduce empty miles without AI?

By showing every truck's next empty position on one board, keeping customer lanes and backhaul history on the load record, and pricing deadhead into every quote so dispatch sees the margin before committing. Many of the empty miles a small fleet runs are visible a day ahead to anyone looking at one board instead of three.

What is a normal deadhead percentage?

ATRI's industry average was 16.7 percent of all miles in 2024 (ATRI, 2025 Operational Costs of Trucking, July 1, 2025). Dedicated and regional fleets run lower because the return leg is planned; spot-heavy fleets run higher because the next load is whatever the board offers. Measure your own per lane, not per fleet.

See trucking dispatch software built on one trip record, or book a personalized demo, scheduled the same week you ask, with no commitment.