Trailers move between customers, yards and repair shops without every move getting recorded. Yard counts happen weekly at best. Sales promises units that are not there, and some trailers go missing for weeks.
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A customer needs ten dry vans tomorrow. The system says twelve are available, but a yard walk finds only seven, and three are tagged out for repair.
A typical day for trailer rental
How it works
Trailer yard check, step by step.
The agent does the work inside your systems. Your team approves what matters.
GPS pingGate scanRepair status
1
Gather signals
Pulls GPS pings, gate scans and repair status for every trailer in the fleet.
Where it isWhat the system says
5301Yard B, row 2AvailableChecking
5307Repair bay 3In repairChecking
5318Customer site, 6 days!AvailableChecking
5326On the roadContract 8841Checking
2
Match to contracts
Compares physical location to each contract and repair order to find mismatches.
3
Flag the gaps
Sends the yard a short list of trailers to verify and fixes status on confirmed units.
What changes
Your team keeps the judgment calls.
The agent takes the repetitive work. People approve, decide and talk to customers.
Sales quotes only trailers that exist
Missing trailers surfaced early
Yard checks focus on the exceptions
Works inside the systems you already run
Trailer GPSGate scannerTrailer yard checkRental management systemMaintenance system
Questions we get
Before you ask.
Cross-checks GPS pings, gate scans and repair status against open contracts so every rental trailer is on rent, in the yard or on a list to verify. It works in three steps: gather signals, match to contracts and flag the gaps.
It works inside the tools your team already uses, including trailer GPS, gate scanner, rental management system and maintenance system. Nothing to rip out and nothing new to learn.
It starts in shadow mode, drafting the work for your team to approve or correct. You decide what it handles on its own, and every action is logged.
Your data is used only to run the workflows you approve. We do not use your proprietary data to train public or unrelated AI models.