Asset-Based Fleet (Truckload / LTL / Dedicated)

Owns the trucks and the drivers. Dispatch + load matching + driver retention + maintenance + DOT compliance is the operational stack.

8-15% revenue per truck on a $40M fleet = $3-6M/yr in additional revenue + 30-40% reduction in dispatcher time on routine matching.

A day in the life

What the next Tuesday looks like

A 200-truck fleet runs 400-600 daily dispatch decisions, 800-1,200 driver-dispatcher messages, 30-60 maintenance events, and continuous compliance documentation (HOS, DOT, IFTA, drug + alcohol). Driver turnover at 80-100% annually means recruiter and onboarding load is constant.

The AI Operating Layer compresses every loop. Load matching surfaces the right load for each truck based on home time + pay + lane history + driver preference. Driver communications get drafted (status updates, pay clarifications, dispatch instructions). Maintenance events get auto-scheduled when DTCs hit. DOT compliance documentation auto-assembles. Driver applicant intake + screening compresses to hours.

The asset-based fleet (truckload / ltl / dedicated) playbook

The automations that matter most

Out of the full Transportation & Logistics catalog, these are the ones a asset-based fleet (truckload / ltl / dedicated) should run first.

Load-to-truck matcher

Dispatch + load operations

Surfaces ranked load-to-truck matches based on revenue + deadhead + home time + lane history + driver preference.

Driver communication drafter

Driver + carrier communication

Drafts routine driver communications (status, pay clarification, dispatch instructions, hometime requests).

DOT compliance auto-assembler

Compliance + safety

HOS, IFTA, drug + alcohol, DOT records assembled on cycle from underlying ELD + driver data.

Maintenance + DTC auto-scheduler

Maintenance + asset management

Diagnostic trouble codes + scheduled maintenance auto-trigger maintenance scheduling at preferred shops.

Driver applicant intake + screen

Driver retention + recruiting

Driver applicants intake + DOT-required screening (CDL, MVR, drug/alcohol, employment history) coordinated automatically.

View the full Transportation & Logistics catalog

In the wild

How this actually plays out

Load-to-truck matching is the workflow that determines whether a fleet keeps trucks loaded or empties to deadhead.

The AI workflow: available trucks + driver preferences (home time, pay floor, preferred lanes, hometime due) + customer freight + DAT/load-board availability. AI scores each load against each available truck based on: revenue, deadhead miles, driver home time fit, lane history, customer preference. Surfaces ranked list to dispatcher.

A 200-truck fleet typically lifts revenue per truck 8-15% by matching better and deadheads less, with no additional dispatcher time.

Want to see this running in your firm?

We'll walk you through what week 1 looks like for a asset-based fleet (truckload / ltl / dedicated), who needs to be in the room, and what the first measurable outcome should be.

Get my fleet's automation map

Tell us your operation type (asset / 3PL / last-mile / brokerage), fleet size or load volume, and the workflow that costs the most dispatcher/broker time. We'll come back with a written map of which 5-7 automations matter first and what the first 90 days would change.