Classify procurement spend
Matches, merges and cleans scattered records into one trusted golden master, with human stewardship and full audit trails.
Classify procurement spend with confidence
Procurement teams routinely contend with spend data dispersed across ERP systems, procurement platforms, and supplier portals — each source carrying its own naming conventions, duplicate entries, and inconsistent category codes. Allmaz resolves this fragmentation by ingesting records from every connected source, running them through a deterministic matching engine that identifies and merges duplicates, and consolidating the results into a single trusted golden master. The outcome is a unified, deduplicated view of your spend that eliminates double-counting, reconciles conflicting supplier names, and gives analysts a reliable foundation rather than a patchwork of contradictory inputs.
Why teams choose Allmaz for spend classification
One trusted golden master replaces fragmented, duplicate-laden source records, eliminating double-counting and conflicting supplier entries across all connected systems
UNSPSC classification gives every spend line a consistent, internationally recognised category structure that integrates directly with analytics and reporting workflows
Human stewards review and approve every AI proposal before it is published, keeping accountability with the people who understand the business context
Reversible edits mean no original source data is ever overwritten, so any approved change can be rolled back and raw inputs remain permanently accessible
A full audit trail and source lineage per record make compliance reviews, internal audits, and spend governance straightforward and defensible
A deterministic matching engine produces predictable, explainable merge decisions that stewards can interrogate and override rather than treat as a black box
How Allmaz handles your spend data
Duplicate matching and merging
A deterministic matching engine identifies duplicate supplier and spend records across all your source systems and merges them into a single golden master record, eliminating double-counting and conflicting entries.
UNSPSC taxonomy classification
Every merged record is classified against the UNSPSC taxonomy, giving your spend a consistent, globally recognised category structure that works with downstream analytics and reporting tools.
Human-in-the-loop approval
No AI-generated proposal is published without explicit human approval. Stewards review suggested matches and classifications, accept or override them, and move on — keeping accountability where it belongs.
Reversible by design
All edits are stored as overrides on top of the original records, never applied in place. Any change can be rolled back, and the source data remains intact throughout the process.
Full audit trail and source lineage
Every record carries a complete history of where it came from, what was changed, who approved it, and when. Lineage is traceable back to the originating source for every field.
From scattered records to classified spend in clear steps
Common questions about spend classification with Allmaz
What happens if the matching engine makes a wrong suggestion?
No suggestion is applied automatically. A human steward reviews every proposed match before it is published, and any approved merge can be reversed at any time because edits are stored as overrides rather than in-place changes. The deterministic nature of the engine also means stewards can see exactly why two records were flagged as duplicates, making it straightforward to identify and correct an incorrect proposal.
Which taxonomy does Allmaz use for classification, and why does it matter?
Allmaz classifies records against the UNSPSC — United Nations Standard Products and Services Code — taxonomy, a widely adopted international standard for categorising products and services in procurement. Using a recognised standard means your classified spend data integrates consistently with downstream analytics, benchmarking, and reporting tools without requiring custom category mapping.
Can I trace a classified record back to its original source?
Yes. Every record in the golden master carries full source lineage, showing exactly which originating records contributed to it, what changes were made at each stage, which steward approved each decision, and when. This makes it possible to answer detailed questions during audits or compliance reviews without manual reconstruction.
Does Allmaz modify my source data?
No. All changes are stored as overrides layered on top of the original records. Your source data is never altered, so you can always return to the raw inputs, compare them against the golden master, or roll back any approved change without any risk of permanent data loss.
Who is responsible for approving classifications, and what information do stewards receive?
Your designated human stewards hold full approval authority. Allmaz surfaces each proposal alongside the supporting evidence the matching engine used to reach its conclusion — such as matching fields and confidence signals — so stewards can make an informed decision to accept, modify, or reject it. Nothing is published to the golden master without an explicit steward action.
Ready to bring order to your procurement spend?
Talk to the Allmaz team about how human-steered spend classification can give your organisation a clean, auditable foundation for smarter procurement decisions.
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