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Most procurement teams know what they want to achieve. The data underneath is what's stopping them.
Pearstop fixes that automatically, at scale.
Without a clean spend baseline, every sourcing decision, negotiation, and cost reduction initiative is built on guesswork.
Pearstop doesn't replace your buyers. It removes the repetitive work so they can focus on the decisions that actually require human judgement, supplier negotiations, contract strategy, and category management.
From raw invoice data to a clean spend baseline — in three steps.
Upload invoice exports, supplier lists, and purchase order data in any format — spreadsheets, ERP exports, CSV files.
Pearstop automatically categorises your spend using UNSPSC standards, replicating expert-level tagging at scale — 95% without manual effort.
Receive a verified, structured spend baseline ready for procurement analytics, sourcing decisions, and supplier negotiations.
What you gain when your procurement data is finally clean.
Automated categorisation eliminates weeks of manual tagging — your team focuses on decisions, not data prep.
Industry-standard classification that integrates with any procurement platform, ERP, or reporting tool.
See exactly where your money goes — by category, supplier, and business unit — in one trusted view.
Clean data means faster, more confident sourcing decisions and stronger negotiating positions.
Real outcomes from procurement teams in technical industries.
Of spend lines categorised automatically using UNSPSC standards — no manual effort required.
Average reduction in time to produce a reliable spend baseline compared to manual methods.
Clean spend baselines reveal hidden savings opportunities that were invisible in dirty data.
"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."
Straight answers about how Pearstop's procurement data quality work works.
Procurement data quality refers to the accuracy, consistency, and completeness of spend data across invoices, purchase orders, and supplier records. For hard services companies managing decentralised purchasing, poor data quality makes category management impossible — teams can't see what they're buying, from whom, or at what cost. Pearstop automates the cleaning and classification of procurement data for companies like Strukton, processing over 35,000 lines a month and supporting 1–3% cost savings through better category management and supplier consolidation.
We start with your raw spend export — from SAP, Oracle, or any ERP. We deduplicate supplier records, resolve naming inconsistencies, standardise description fields, fill in missing data where possible, and classify every line against a taxonomy such as UNSPSC. The output is a clean, structured dataset ready for category management, reporting, or further analysis.
Most initial datasets are returned within a few business days regardless of volume. Ongoing classification — such as Strukton's 35,000 lines per month — runs automatically once the pipeline is set up. There's no manual effort required on your side after the initial data handover.
No. Pearstop works with your existing data exports. You don't need to change your ERP, connect any systems, or install anything. We take what you already have — however messy — and return it clean and classified. Integration into your workflows is straightforward once the data is ready.
Based on client results, clean procurement data typically supports 1–3% cost savings through better category management and supplier consolidation. The actual figure depends on how fragmented your current data is and how actively your procurement team acts on the insights — but the baseline improvement in visibility alone changes how decisions get made.
Book a 7-minute discovery call and see exactly how Pearstop builds your spend baseline.
Book a 7-Minute Discovery