AI analysis of the files you already export
Fuel-card transactions, telematics pings, and IFTA mileage and gallons, lined up by truck, driver, and time. The model reads the joined file. It does not invent a location when GPS is quiet.
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After the audit
AI systems on the fuel and operations data you already own
AxleLens audits fuel and operations data, finds leaks and labor sinks, then builds AI and automation: analysis of fuel-card, telematics and IFTA data, automated exception flags, dashboards and reporting, and workflow automation so staff focus on important work.
Ask your fleet
Dispatch
Which trucks idled more than 2 hours yesterday?
From telematics and the TMS you already run
Four units crossed two hours of idle with no load move. The longest sit was unit 2218 at a shipper dock, 3 hours 20 minutes.
Finance
Which fuel card swipes this week did not match a truck location?
Card file lined up with GPS
Eight swipes still have no matching ping. Two are on a unit with a dead sensor. Those stay unverifiable, not marked stolen.
What gets built
Four jobs on one read-only layer.
Nothing writes back. A person still decides. The point is to stop asking staff to stitch four exports every morning.
Automated exception flags
A swipe far from the truck, an over-capacity fill, an off-hours buy, a dead sensor. Each flag has the unit, the time, the miles, and the dollars. It is a list, not a conviction.
Dashboards and reporting
The Monday inbox and a live view of verified fuel, mixups, and holds. Finance sees spend. Operations sees the three lines they can clear today.
Workflow automation
Morning exception list, IFTA prep, detention by shipper, a weekly owner summary. The check runs. The alert goes to a person. Staff focus on the work that needs a judgment.
Fuel is the door. AI is the rest of the shop.
Most fleets do not have an AI problem first. They have a match problem. Until the card, the GPS, and the TMS agree, an assistant will happily explain a typo as theft.
That is why the engagement starts with the fuel and loss audit. Once the three outcomes are real (verified, review, unverifiable), the same connection can answer a plain-language question and run the reports people currently build by hand.
I have put dispatch, operations, and fuel payments on one layer for a Southeast fleet of 200 or more trucks. Wider logistics work has followed the same pattern: analysis on systems the company already runs. I do not replace Samsara, Motive, Geotab, Verizon Connect, or your TMS. I sit on top of them.
A simple path
01AuditFind the leaks
02FlagsAutomate the list
03AskQuestions in English
Read-only. A person still decides. Fleet operations analysis is the same idea with less AI language.