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Pearstop auto-classifies up to 95% of your procurement lines, using UNSPSC, the global standard for procurement categorisation, so your team can stop doing it manually.
Without accurate UNSPSC classification, your spend analytics are built on sand. Every sourcing decision, audit, and ERP report is undermined by inconsistent categories.
From raw spend lines to fully classified, ERP-ready data — automatically.
Provide your invoice lines, purchase orders, or supplier catalogue in any format, xls, CSV, ERP export or direct connection with your procurement system
Pearstop's engine matches each line item to the correct UNSPSC code using machine learning trained on industry-specific procurement data.
Receive fully classified spend data with confidence scores, ready for analysis, audit reporting, and direct ERP import.
What you gain when your spend data is properly classified.
The vast majority of your spend classified automatically — human review only where genuinely needed.
UNSPSC codes recognised by procurement systems, auditors, and partners worldwide — complete compliance confidence.
The engine learns from your corrections and improves over time — accuracy increases with every dataset processed.
Clean, coded data formatted for direct import into SAP, Oracle, or any procurement platform you use.
Real classification outcomes from technical industry procurement teams.
Of spend lines correctly classified automatically — without specialist input or manual review.
Average time saving compared to in-house manual UNSPSC tagging by procurement specialists.
Output formatted for direct import into all major ERP and procurement platforms — no reformatting needed.
"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."
Book a 7-minute discovery call and see how quickly Pearstop classifies your spend lines to UNSPSC standard.
Book a 7-Minute DiscoveryStraight answers about how Pearstop's UNSPSC classification works.
Most classification systems rely on historical data to learn from. Pearstop's approach combines rule-based assignment, machine learning, and an LLM layer that draws on broad product and industry knowledge, meaning it performs strongly even without existing priors. Companies starting from scratch get reliable results from day one.
Pearstop typically auto-classifies 85–95% of procurement lines. Lines that fall below the confidence threshold are flagged for review rather than classified incorrectly — so you always know what's been confirmed and what still needs a human check.
We work with the current UNSPSC release and can align to your organisation's preferred version or internal taxonomy if you have one. If you need a custom coding hierarchy on top of UNSPSC, we can accommodate that too.
Supplier name normalisation is part of the process. Before classification runs, we clean and deduplicate supplier records so that variations of the same supplier are resolved into a single entity. This improves classification accuracy and gives you cleaner spend analysis downstream.
You share an export of your procurement data — from SAP, Oracle, or any ERP. We clean and classify it, return a structured dataset with UNSPSC codes assigned, and document confidence levels per line. Turnaround depends on volume but most initial datasets are returned within a few business days.