How Much Does AI Dispatch Cost?

Ask what AI dispatch costs and you get a number that ranges from zero to several thousand dollars a month, which tells you almost nothing. The price you actually pay depends on the pricing model, the tier you land on, and how many loads you cover with it. A flat $200 software fee and a service taking 6% of your revenue can both be the right call or the wrong one, and the only way to know is to do the math against what you'd otherwise spend.

So this isn't a price sheet. It's a way to think about cost. Below are the three models vendors use, the alternatives you're really comparing against, and the one calculation that makes them comparable: cost per covered load.

The three ways AI dispatch gets priced

There are three pricing models in this category, and most of the confusion comes from comparing a number from one model against a number from another. They don't measure the same thing.

The first is a free tier. Several tools, including Numeo Spot, offer a no-cost plan that covers the core of the job: pulling loads, checking rate per mile, drafting broker emails, flagging which loads actually pencil out. A free tier is genuinely free in dollars, but it isn't free in attention. It's built for owner-operators and very small fleets where one person is doing everything, and it usually caps the automation, the seats, or the volume before you hit a paid tier. The honest way to read a free tier is as a real working floor for a tiny operation and as a trial for a larger one, not as the price you'll pay at scale.

The second is a flat software fee, charged per seat or per month, sometimes both. You pay a fixed amount and it does not change when you book a $1,500 load or a $4,000 load. This is the SaaS model, and its defining property is that the vendor's revenue is decoupled from yours. A software fee does not take a cut of your freight. That matters more than it sounds, because it means the marginal cost of covering one more load is zero once you've paid for the seat. The downside is that you pay the fee whether you run hard that month or not, so an idle truck still costs you the subscription.

The third is percentage of revenue, the classic dispatch-service model. You hand off load-finding and broker negotiation, and the provider takes a slice of gross. The convenience is real and the entry cost is low, but the bill scales with exactly the thing you're trying to grow. Book more, gross more, and the cut grows in lockstep, with no ceiling.

What you're really comparing against

AI dispatch doesn't exist in a vacuum. Every dollar you'd spend on it is a dollar you're not spending on one of two alternatives, and you can't judge the software price without pricing those first.

The first alternative is an in-house dispatcher. The Bureau of Labor Statistics put the median annual wage for dispatchers (the category that covers truck dispatchers) at roughly $46,860 in 2023. That's salary alone. Add payroll taxes, benefits, a desk, a phone line, and software, and the loaded cost runs meaningfully higher. A dispatcher is the highest-fixed-cost option and also the most flexible: a good one handles exceptions, builds broker relationships, and exercises judgment no tool fully replaces. The relevant question is rarely "software or human." It's whether one dispatcher armed with AI tools can cover the load count that used to take two.

The second alternative is a third-party dispatch service, which typically charges somewhere in the 5 to 10% of revenue range per load. This is the same percentage-of-revenue model described above, just delivered by people instead of software. It's the default for carriers who don't want to hire and don't want to learn a tool. The trade is that it's the option whose cost climbs fastest as you grow, and it puts a third party between you and your broker relationships.

Read down the "as you grow" column and the structural difference jumps out. Two of these models bill you more the more freight you move; two don't.

Cost per covered load

A monthly fee, an hourly wage, and a percentage of gross are three different units. You can't compare them until you convert all of them to the same one. The unit that works is cost per covered load — total monthly dispatch spend divided by the loads you actually moved that month.

Run a worked example. Say a small fleet covers 80 loads in a month at an average linehaul around $1,800. A service at 7% of that revenue costs about $126 per load, or roughly $10,080 for the month. An in-house dispatcher at the BLS median, loaded to call it $60,000 a year, lands near $5,000 a month, or about $63 per covered load at that volume — and that per-load figure drops as the same salaried person covers more loads. A flat software fee behaves the opposite way from the service: divide a fixed monthly number by 80 loads this month and by 120 next month and the per-load cost falls as you run harder, because the denominator grows while the fee doesn't.

That's the whole insight. The percentage model has a flat cost per load and a total that scales with revenue. The software and salary models have a fixed total and a per-load cost that drops the more you run. Which one wins depends entirely on your volume and your margins, and the crossover point is specific to your operation. A carrier moving a few loads a month may find a service's low entry cost unbeatable; a carrier running steadily will usually find the per-load cost of flat software falls below the service's cut well before the month is out.

It helps to anchor this against what the load itself costs to run. ATRI's 2025 report (on 2024 data) pegged the average marginal cost of trucking at about $2.26 per mile, so on a 600-mile load you're spending roughly $1,356 just to move it before any dispatch cost. Against that, the dispatch line — whether it's $63 or $126 per load — is a real but secondary cost. The point of measuring it per load isn't to obsess over a few dollars; it's to see which model's curve bends in your favor as you scale.

Why the percentage model deserves a closer look

The percentage-of-revenue model is worth singling out because its cost is the easiest to under-estimate. At a glance, "we only pay when we book" sounds like the carrier-friendly option, and at low volume it is. The problem is what happens at the margin.

Think about where the money in a load comes from. DAT data from 2023 put the average broker margin around 13.5% — the spread between what the shipper pays and what the carrier gets. A dispatch service taking 5 to 10% of your side of that load is taking a slice that's the same order of magnitude as the broker's entire margin on the freight. On a strong lane that's tolerable. On a thin one, the service's cut plus the broker's spread can swallow most of what made the load worth running. And because the cut is a percentage, it takes the same bite on your best-negotiated, highest-paying loads as on your worst — you're effectively taxed hardest exactly when you've done the most work to win a good rate.

This is the structural reason a flat software fee appeals to carriers who run consistently: it removes the tax on success. Numeo's paid tiers are priced as software, not as a share of freight, so negotiating a better rate or booking an extra load doesn't raise the bill. Whether that beats a service for you still comes down to volume — the model only pays off once you're covering enough loads that the fixed fee divided across them undercuts the percentage. But for most carriers running a steady book, that threshold arrives earlier than they expect.

A caveat on every number here

Prices in this category vary widely by vendor and by tier, and anyone who quotes you a single figure for "AI dispatch" is hiding the variables. Free tiers differ in what they cap. Software fees differ on whether they're per seat, per truck, per month, or some mix, and on which integrations and automation sit behind a higher tier. Services differ on the percentage and on what's included for it. Two tools with the same headline price can deliver very different amounts of actual coverage, so the sticker is only the starting point.

The reliable way through the noise is to ignore the headline and run your own per-load math. Take your real load count and average linehaul from a recent month, price each option against those numbers, and look at how the per-load cost moves as your volume changes. That single calculation tells you more than any vendor's pricing page, because it's built on your freight instead of a generic example.

Most of the U.S. carrier base is exactly the kind of operation where this math is decisive: FMCSA counted roughly 787,000 carriers as of December 2023, and per ATA's 2025 figures about 91.5% of them run ten trucks or fewer. At that size every dispatch dollar is visible, and the model you pick — not just the price — is what compounds over a year. If you want a no-cost place to start running the comparison on live freight, the free tier of Numeo Spot is built for it.