Real work. Real margins.
How technical businesses in FM, Construction, Manufacturing and Infrastructure use Pearstop to clean their data and protect their margins.
From manual spreadsheets to margin visibility before every purchase
FARO had two dedicated buyers manually classifying up to 6,000 product lines per container, a slow, inconsistent process that made margin estimates impossible before committing to a purchase.
Pearstop automated the full classification pipeline across 30,000 lines per purchasing cycle, linked it directly to FARO's POS and retail direct data warehouse, and delivered accurate margin and sell-through estimates before any container is signed off.
"We had thousands of product lines that needed to be categorised before we could even begin to understand our costs. Pearstop classified 95% of them in under a week. That would have taken our team six months and still wouldn't have been this accurate."
What our clients say
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 reads them and automatically pulls the right items 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 wouldn't have been this accurate."
More client stories
A selection of projects across industries, challenges, and solution types.
Classifying 35,000 procurement lines a month into UNSPSC
We are currently working with Strukton, a major Dutch infrastructure contractor, on automated UNSPSC classification at scale. Case study coming soon.
Follow our LinkedIn for updates → Be the first to receive it in your inbox →Accurate margin estimates on every container purchase… automatically
For every purchasing decision, FARO needed to categorise around 30,000 product lines across 5 containers to estimate margin, sale price, and stock time. Pearstop automated the classification and linked it directly to their sales database, giving buyers an accurate margin estimate before committing to a purchase.
Cleaning 100,000 assets as the foundation for smarter maintenance
SPIE's asset database had grown organically across sites and systems — full of spelling errors, field mismatches, and duplicate records. Usable for engineers on-site, but impossible to analyse. Pearstop cleaned and structured the full register, creating a reliable foundation for maintenance planning and lifecycle analysis.
Uncovering procurement inefficiencies hidden in unclassified spend
A mid-sized manufacturer had years of procurement data in their SAP system with no consistent categorisation. Without spend visibility, identifying supplier consolidation opportunities or benchmarking costs across sites was impossible. Pearstop cleaned and classified the full spend dataset, surfacing inefficiencies immediately actionable for the procurement team.
Building a spend baseline from fragmented operational data
A facilities services company was managing procurement across multiple client sites with no consistent data standard. Invoice data was fragmented, supplier records were duplicated, and spend analysis was impossible. Pearstop standardised and classified the full dataset, giving the procurement team a single source of truth across all sites.
Turning site visit reports into clean proposal documents — automatically
LemTech supplies air filtration systems for welding installations. Site visit reports arrived in every format — handwritten notes, spelling mistakes, varying layouts. Pearstop built a system that reads incoming reports, identifies the right products and specifications, and outputs a clean, accurate proposal document automatically.
From fragmented project data to MT-level capacity planning
FMO's PMO office needed a clear view of project capacity and resource allocation across a complex portfolio. Data was fragmented, inconsistent, and impossible to aggregate reliably. Pearstop cleaned and structured the full project dataset and built the dashboards that gave MT the visibility to make capacity decisions with confidence.
Let's talk about your data challenge.
Tell us where your margins are leaking. We'll show you exactly how Pearstop fixes it — in a focused 30-minute walkthrough built around your industry.