Build the clean, governed procurement data foundation your AI strategy needs.
Atlas classifies every spend line, normalizes every supplier, and governs every data decision with explainable AI and human review at every step. No more misclassified spend. No more duplicate suppliers. No more guessing.
Procurement analytics and AI fail because the data underneath them is broken.
Most procurement teams work from data that was never designed to be analyzed. Supplier names appear in five formats. Category codes were assigned manually years ago. ERP systems don't agree on what counts as a contract.
The result: spend dashboards no one trusts, savings reports that can't be acted on, and AI initiatives that stall before they start. Atlas doesn't mask bad data with clever analytics it fixes the data itself, at the transaction level, with explainable logic and your team in control.
Misclassified spend
Lines bucketed into "Other" or the wrong category entirely.
Duplicate suppliers
The same vendor in 8–12 name variants across systems.
Taxonomy gaps
Categories that don't match how the business actually buys.
Unmatchable invoices
Invoice data lacking the line-level detail analysis needs.
Six capabilities. One governed data foundation.
Spend classification
Classify transactions against any taxonomy UNSPSC, eCl@ss, custom, or hybrid. Every line carries a confidence score and reason code. 90–95% first-pass accuracy.
Supplier normalization
Collapse 8–12 name variants into one clean supplier master consistent legal entity, hierarchy, and metadata enriched with DUNS and D&B data.
Taxonomy generation
Build a bespoke procurement taxonomy from scratch using AI trained on best practice and tuned to your spend, industry, and category mix. Owned by you.
Taxonomy optimization
Audit an existing taxonomy, identify gaps and overlaps, and recommend improvements reviewed by your team before they go live.
Data enrichment
Enrich records with external intelligence: DUNS numbers, D&B data, SIC/NAICS codes, sustainability flags, and firmographic signals.
Governance & review
Every decision is reviewable. Low-confidence classifications queue for sign-off. Reason codes explain every AI decision. Full audit trail included.
Your taxonomy is the backbone of every procurement insight.
A taxonomy isn't a list of codes it's the shared vocabulary that makes spend data meaningful. Most enterprises have one; very few have a good one. The telltale sign: an "Other" bucket that swallows 15–30% of spend.
- Build, optimize, maintainFrom scratch, or improve what you have on your change cadence.
- Merge, move, and edit with governanceEvery structural change is reviewed and approved by your team.
- Enforced at every ingestion pointNew data is classified against your living taxonomy automatically.
One supplier identity across all your systems.
A typical enterprise has the same supplier in 8–12 name formats. Atlas resolves variants into clean parent/child hierarchies and customers typically see a 40–60% reduction in unique supplier count.
- Entity resolution & merge historyEvery supplier merge shows its full lineage and is fully reversible.
- Parent / child hierarchySee total spend with a corporate group, not scattered across aliases.
From raw data extract to governed procurement intelligence
Confidence scores and reason codes for every decision.
Enterprise teams can't act on a black box. Every classification includes a confidence percentage and a reason code explaining why. Your team can see the logic, challenge it, override it, and approve it and Atlas learns from every correction.
Why: No confident taxonomy match possible new supplier entity. Held for a human decision before publication.
Why: Supplier name matches two taxonomy branches; spend pattern favors Contract Manufacturing.
Why: High-confidence auto-classification, logged with reason code for your permanent audit trail.
Six governed outputs from every Atlas deployment
Clean spend cube
Classified, normalized, deduplicated spend by category, supplier, entity, cost center, and time period ready for BI and savings analysis.
Governed supplier master
Normalized hierarchy with clean legal entity names and enriched reference data. One supplier identity across all systems.
Enriched transaction data
Every line enriched with classification, supplier reference, DUNS/D&B, sustainability flags, and taxonomy path. Export in any format.
Optimized taxonomy
A taxonomy reviewed, approved, and owned by your team built or optimized by Atlas and maintained on your cadence.
BI-ready exports
Clean exports in your format: CSV, Parquet, BigQuery, Snowflake, or a direct Looker Studio connector.
Input layer for Pulse
Atlas's governed data is the foundation Pulse reads to find savings. The two agents are designed to work together.
"Atlas classified our spend across 14 different ERP instances with an accuracy level our internal team hadn't been able to reach in three years of manual effort."
Atlas questions, answered.
See Atlas clean your spend data.
Share a sample extract and watch Atlas classify, normalize, and enrich it with confidence scores and a review queue you control.