How technical businesses in FM, construction, manufacturing, and infrastructure use Pearstop to clean their data and protect their margins.
A major Dutch contractor had two dedicated staff manually assigning categories to supplier invoices - a slow, error-prone process that made spend analysis unreliable and procurement benchmarking impossible.
Pearstop automated category assignment across 140,000+ line items, eliminated duplicate supplier records, and delivered a clean procurement dataset that feeds directly into their SAP system and reporting tools.
We used to have two full-time staff working on category assignment. Now the system does this for us - which has unlocked margin estimations further down the line too. It is more reliable at a fraction of the cost.
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From procurement teams to operations directors - the impact shows up in the numbers.
Our asset data was spread across spreadsheets and feeding from clients' legacy systems. None of it was consistent enough to do anything analytical with. Pearstop consolidated and structured it and suddenly we had something we could actually build on.
Our site visit reports come in every format imaginable - handwritten notes, spelling mistakes, scribbles. Pearstop built a system that automatically pulls them into a clean proposal document. It saves our team hours on every job.
We had thousands of product lines that needed to be categorised before we could even begin to understand our costs. Pearstop classified them in under a week. That would have taken our team six months and still would not have been this accurate.
A selection of projects across industries, challenges, and solution types.
For every purchasing decision, FARO needed to categorise around 30,000 product lines per five containers to estimate margin. Pearstop automated the classification and linked it directly to their sales database.
SPIE's asset database had grown organically across sites and systems. Pearstop cleaned and structured the full register, creating a reliable foundation for maintenance planning and lifecycle analysis.
A mid-sized manufacturer had years of procurement data in SAP with no consistent categorisation. Pearstop cleaned and classified the full spend dataset, surfacing immediately actionable inefficiencies.
Site visit reports arrived in every format imaginable. Pearstop built a system that reads incoming reports and automatically outputs a clean, accurate proposal document.
FMO's PMO needed a clear view of project capacity and resource allocation across a complex portfolio. Pearstop cleaned and structured the full project dataset and built the dashboards that gave MT visibility to make confident decisions.
Tell us where your margins are leaking. We will show you exactly how Pearstop fixes it.