Finance Automation for Freight & Logistics Operators

A freight operator's costs are born on the road, in systems the finance team doesn't control: the fuel card swiped in another country, the toll transponder clocking a bridge at 3am, the ferry operator's PDF invoice, the telematics unit that knows which truck was actually on which leg. The ledger only sees the totals. So the question that decides the business — did that job make money? — gets answered weeks later, by an accountant rebuilding the trip in Excel from five exports, or not at all.

Generic AP or expense tools don't touch this, because the hard part isn't capturing the cost — it's allocating it to the right trip leg. That's an operational-data problem, not a document problem.

The typical stack we find: a transport management system holding jobs and legs; one or two fuel-card providers; national tolling accounts and transponder feeds; vehicle telematics; ferry and channel-crossing invoices arriving as PDFs; and an accounting system — often Sage — holding the nominal ledger. None of them talk to each other, and none of them was built to answer per-job profitability.

Our approach goes to the source data first: read each feed directly, allocate deterministically (the same answer twice, explainable to an auditor), use AI only for the unstructured edges like ferry PDFs, and map every cost to the ledger's nominal codes so finance and operations finally agree.

For an Irish pan-European road freight operator we built a platform that allocates 101,000+ toll transactions to the exact trip legs they belong to, reconciles ~9,500 fuel-card records a year against telemetry, reads ferry invoices with AI extraction, and computes true per-job profitability continuously — mapped to Sage nominal codes. In its first months it surfaced a €41,000 cost gap nobody knew existed.

Read the full case study for the story; this page is about what the same build does for your operation.

Live job profitability instead of month-later archaeology. Fuel anomalies flagged against telemetry instead of trusted on faith. Toll costs on the customer's job, not in an overhead bucket. Quoting informed by what routes actually cost. And your accounting system untouched — it stays the ledger of record while the platform does the allocation work around it, in your own cloud tenant.

The same pattern maps to Dynamics 365 F&O project accounting if you're on the Microsoft stack rather than Sage.

Start with the free AI readiness assessment, or put your own numbers into the automation ROI calculator. If you can tell us which systems hold your costs — TMS, fuel cards, tolls, telematics — we can tell you what an automated allocation layer would look like against them.