Client Results

Real work. Real margins.

How technical businesses in FM, construction, manufacturing, and infrastructure use Pearstop to clean their data and protect their margins.

Featured client caseHard services FM · Asset data

9,175 supplier spellings brought back to 1,493 for SPIE Building Solutions

Every asset matched against SPIE's own approved supplier list, scored for confidence, and ranked so the team knew exactly where to review first.

73.1%matches confirmed
107,081lines enhanced
204,029asset records
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As it arrivedNORDPUMPNordpump B.V.NordpmpNORDPUMP NLNordpump Pompen
Canonical supplierNordpumpNames changed. Same shape as the real register.

Client cases

Named work, real data
Segment → Family → Class → Commodity
Infrastructure · Procurement

Spend classified to UNSPSC commodity level from zero classification history, for Strukton

0classification history at start
+20%accuracy gained by adding human review
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Margin estimate before each container is bought
Retail · Procurement

Margin visible before the purchase is committed, for FARO

Up to 7%higher sell-through
1 weekvs six months by hand
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Before
After
Invoice extraction accuracy
Cleaning services · Invoices

Invoice extraction accuracy from 70% to 99% for a cleaning services company

~300invoices a month
Pilot → livenow on subscription
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Manufacturing · Documents

Site visit reports turned into clean proposal documents for Lemtech

~0manual re-entry
1–3 hrssaved per proposal
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In their words

“The confidence scoring meant our team knew where to spend their review time first, instead of starting from scratch on 200,000 rows.”
Bart van PeijBart van PeijHead of Master Data Management, SPIE Building Solutions
“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.”
Vince OutVince OutCommercial Manager, Lemtech
“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.”
David TorrDavid TorrCEO, FARO

Send us 200 lines. We send them back labelled.

No clean-up first, no cost, nothing to install. The fastest way to see what your own data looks like classified.

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