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Automatic classification
Models propose categories with a confidence score. The team reviews uncertain assignments.
Solutions · 01
Understand your spend – with AI, not spreadsheet marathons.
AI spend analysis means a model assigns your invoices and orders to categories automatically, flags off-contract purchases and shows where volume can be bundled – procurement reviews and decides.
Spend transparency rarely fails for lack of will, but because of inconsistent data: free text, missing categories, several ERP systems. This is where AI is strong – as long as results stay traceable and uncertain cases go to a person.
What AI takes over in spend analysis
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Detect maverick buying
Flag off-contract purchases automatically – with supplier and demand patterns.
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Bundling opportunities
Make volume visible across entities, sites and categories.
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Dashboard & alerts
An up-to-date spend cube for procurement leadership, category managers and controlling.
Who it is for
For companies with several sites, entities or ERP systems whose spend can only be analysed today with a lot of manual work.
Outcome
A classified spend cube, a list of concrete bundling and compliance topics, and a process for classifying new data on an ongoing basis.
How we implement it
Export data
Invoices, orders and supplier master data.
Agree on a taxonomy
Your own categories, eCl@ss or UNSPSC.
Classify & review
AI proposals, sample checks, refinement.
Analyse
Derive bundling and compliance topics.
Frequently asked questions
How accurate is AI classification?
That depends on data quality and the category taxonomy. We measure accuracy on a reviewed sample of your data instead of promising blanket figures.
Is spend analysis the same as “Ausgabenanalyse”?
Yes. Spend analysis is the English term for what German procurement calls “Ausgabenanalyse”: spend is analysed by supplier, category and organisational unit to reveal bundling potential and off-contract purchases. AI mainly takes over the classification.
Do we need a spend analytics tool?
Not necessarily. Existing tools and a language model are often enough to start. For ongoing use a specialist vendor can make sense – we clarify that in AI tool selection.
How does automation differ from AI?
Automation follows fixed rules, for example in workflows or RPA. AI makes probabilistic decisions from data. In practice we combine both: rules for standard cases, AI for classification, enrichment and exceptions.
Let's talk about your procurement.
In a free intro call we look at where your procurement stands on AI and which next step makes sense – readiness check, workshop, tool selection or pilot.