Pearstop AI | Solutions

Data Reliability for

Maybe your team wants to optimise procurement spend – but your invoice database does not reflect product categories in accurate detail.
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Maybe you want to serve clients better through leveraging maintenance models – but there is no consistency in tracking assets under management.

Cleaning that up by hand is not only costly – but bound to maintain inconsistencies.
With our software you streamline data cleaning, categorisation, and cost insight for procurement, asset management, quote preparation and group financial reporting, while keeping your team in charge.

If you are a procurement team, CFO, asset manager or commercial director, Pearstop empowers you to work smarter, not harder.

What we are best at

Our Services

Procurement

Spend clarity. Create a credible, detailed spend baseline from messy invoice and supplier databases.
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So savings programmes are built on facts and can actually be executed.

Save your team time and create consistency.

Asset Data Clarity

Turn fragmented asset registers into a single, trusted dataset your team can analyse.

So asset, ops, and engineering teams can manage risk, performance, and margin — not guess.

Cost Baseline

Feed clean asset and spend data directly into your existing BI tools.So decisions are made on trusted dashboards, not offline analyses.

Useful for negotiating better deals with suppliers.

Useful for having a direct insight into the internal cost base of a requested project.

Bid Preparation

We reduce margin risk by giving teams a clear, comparable view of what work actually costs before a bid is submitted.
When assumptions are grounded in structured asset and procurement data, pricing becomes defensible and surprises during delivery drop sharply.

UNSPSC

Auto-assign up to 95% of spend data in the United Nations Standard Products and Services Code.

Check out the general page on UNSPSC or compare custom taxonomies.

AI & Fabric Readiness

Moving to Microsoft Fabric means breaking down data siloes. Without clean, consistent data, no analysis will add value.

Being ready for AI means maintaining a reliable source with automatic quality control.

(Shit in = Shit out)

Turn messy data into decisions.
Save millions through better procurement decisions.
Protect high-margin advisory revenue by making asset insight defensible.
Clean data is the enabler – the foundation.