Quick answer: Fuel and plant hire surcharges are usually applied as a fixed percentage or flat fee, buried inside a much larger invoice, and rarely questioned because checking them manually across hundreds of invoices isn't realistic. Once these lines are extracted and classified separately, they're consistently one of the fastest and most defensible savings a construction procurement audit finds.
Why surcharges go unchecked
A fuel surcharge might be 3% of a much bigger plant hire invoice. Checking whether that 3% is still justified, still matches the contract, and still tracks with actual fuel prices requires pulling it out of hundreds of invoices individually, which almost nobody has time to do.
Why they compound into real money
Applied consistently across a large plant hire spend for a full year, a small surcharge percentage becomes a meaningful line on its own, one that most finance teams have never seen isolated from the rest of the invoice.
What extraction and classification reveals
Once surcharges are pulled out and classified as their own category, you can check them against actual market fuel prices, compare suppliers fairly, and challenge specific charges with specific evidence instead of a general sense that something feels high.
Pearstop extracts fuel and plant hire surcharges from invoices automatically and classifies them as their own line, so you can check whether they're still justified without manually opening hundreds of PDFs.

Stephanie Wiechers
CEO & Co-founder, Pearstop
Stephanie leads Pearstop's go-to-market and strategic direction. She works directly with procurement and FM leaders across Europe to understand how data quality affects margins, contracts, and AI readiness.
LinkedIn →Further reading
The spend cube framework, executed with AI
The classic three-dimension spend cube, adapted for an AI classification pipeline: what changes in speed, cost, and staying power after delivery day.
Read more →ProcurementClassifying spend in 2026: five options compared
Sievo, Pearstop, Coupa, Simfoni, Spendkey, and manual classification compared honestly on cost model, speed and industry depth for spend classification.
Read more →

