Most teams find out their spend data doesn't work when someone asks a question nobody can answer. Start with the problem in front of you. Each one links to how we fix it.
Invoices sit unread in an inbox, so there is nothing to analyse yet.
Turn unread PDF invoices, scans, and delivery notes into structured, labelled line items automatically. The starting point for spend analysis and everything after it.
See how it works →Spend is coded by hand, differently at every site, or not at all.
Auto-classify years of free-text purchase order data using UNSPSC, including tracing hard services parts back to the real manufacturer code. Up to 95% of spend lines classified automatically.
See how it works →A savings target or tender needs a real baseline, and nobody can produce one. Every invoice needs a yes or no, with no benchmark to say whether the price is reasonable.
Build a real spend baseline from messy invoice and supplier data, broken out by service line and entity. Every line is labelled and compared with what you normally pay, so a negotiation, tender or approval starts from a number instead of a guess.
See how it works →An ERP, Fabric or AI project is coming, and the data isn't ready for it.
An ERP migration, a Microsoft Fabric rollout, and an AI initiative all assume the data underneath them is already clean and structured. When it is not, each one just carries the mess into a new system. Pearstop fixes the data first.
See how it works →An auditor, regulator or finance asks a question the data can only answer after days of manual work.
Freelancer hours, subcontractor certification, certified timber, hazardous substances and recycling rates all sit at invoice line level. Pearstop reads every line, so the answer is ready when the question arrives.
Running a safe, well-kept site means getting the details right, every time. We bring the same care to your data: every line read, cleaned and labelled, and anything uncertain checked by a person. The output plugs straight into the tools you already use.
Hard services, construction, infrastructure, and manufacturing companies share a common challenge: spend and asset data that is scattered, inconsistent, and difficult to use across teams and systems. Poor procurement data quality, unreliable asset registers, and unclassified spend are the most common blockers to category management, predictive maintenance, and moving to new systems. Pearstop specialises in cleaning and structuring this spend and asset data so technical businesses can act on it.
Start with the problem in front of you. If invoices sit unread, start with extraction. If spend is coded by hand or not at all, start with UNSPSC classification. If you need a baseline for a tender or savings target, start with spend visibility. Most teams move through these in that order.
No. Cleaning the data is the first thing Pearstop does. Send invoices, ERP exports, portal downloads or spreadsheets in whatever state they are in.
Yes. Every line gets a standard label, so the same item can be compared across suppliers, sites and providers. You can see whether a price sits in the normal range before you approve it. Asset owners use this to check the spend their FM provider manages for them.
Facilities management, hard services, cleaning, construction, infrastructure and manufacturing. Also asset owners who outsource FM, and procurement consultancies who run spend analysis for their clients.
Around 95% of lines are classified automatically. The rest are flagged and routed to a person, so accuracy stays high without every line needing a manual check.
A first sample of 200 lines usually comes back within a few working days. After that, classification runs continuously as new invoices arrive.
Book a 15-minute discovery call. We will identify exactly which data problem is costing you the most - and show you how to fix it.
