Solution · Spend visibility

Build spend visibility your procurement team can trust.

Most spend dashboards are built on unclassified data, duplicate suppliers, and inconsistent category codes. Mithra fixes the foundation so your visibility is accurate not approximate.

Spend under management
9 categories · 100% classified · governed
Reconciled
IT & Telecom€384M · 27%
Logistics€246M · 17%
Prof. services€210M
Facilities€188M
Marketing€152M
Packaging€96M
MRO€61M
Utilities€51M
Travel€42M
The real problem

The spend visibility problem most teams have but don't say out loud.

When procurement leaders say they have a spend visibility problem, what they usually mean is: our dashboards exist, but nobody trusts the numbers. Category totals don't match when you run them from different systems. Supplier spend is fragmented because the same supplier appears in twelve formats. A third of spend sits in "Other" because nobody has time to fix the taxonomy.

This is not a reporting problem. It is a data foundation problem and reporting tools can't fix it. They just visualize the mess in a more sophisticated way.

Numbers don't reconcile

Run the same category from two systems, get two answers.

Fragmented suppliers

One vendor split across a dozen name variants and codes.

The "Other" bucket

A third of spend uncategorized and effectively invisible.

Dashboards nobody trusts

Reports exist, but no one will present them to the board.

How Mithra solves it

From fragmented data to a single trusted spend view.

STEP 01

Connect and ingest

Mithra connects to every system you spend your life in, SAP, Oracle, Ariba, Coupa, and flat files, and pulls spend at the transaction level, not just the summary.

STEP 02

Atlas classifies & normalizes

Every line is classified against your taxonomy and every supplier resolved to a clean master. Each decision carries a confidence score and reason code your team reviews and approves.

STEP 03

A trusted spend cube

The output is a clean, governed spend cube classified by category, normalized by supplier, reconciled across entities, and ready for BI. Your dashboards now reflect reality.

Key capabilities

Visibility built on classified, governed data.

Spend visibility is only as good as the data underneath it. Mithra classifies and reconciles at the transaction level so what reaches your dashboard is accurate by construction.

  • Transaction-level classificationNot a summary rollup every line classified against your taxonomy.
  • Supplier normalization across systemsOne supplier identity, regardless of how many ERPs it appears in.
  • Multi-entity, multi-currency reconciliationSpend harmonized to a group reporting currency and hierarchy.
  • Human review & approval workflowLow-confidence decisions queue for your team's sign-off.
  • BI-ready exportDirect to Looker, Power BI, and Tableau no manual prep.
  • Scheduled refresh on your cadenceMonthly, quarterly, or on demand, your visibility stays current.
app.mithra.ai / categorization
SupplierAmountCategoryConf.
Hitachi Inc. €322M Diagnostics 98%
Delpharm Milano €95.6M Uncategorized 41%
Bechtle Schweiz €62.5M IT Hardware 95%
Consultoria Event €35.5M Mgmt Agency 76%
Fujitsu Computers €3.6M Diagnostics 97%
Business outcomes

What a trusted spend view actually changes.

No more "Other"

Total spend coverage with consistent category coding across every system.

One supplier master

One entity, one spend view, across all ERPs and regional databases.

Board-ready reports

Spend reports your CPO can present with confidence, not caveats.

BI without rework

Your BI team gets trusted data, no manual prep before every report.

"For the first time we have one classified spend view across 20+ markets and classification accuracy that meets our audit requirements."
Read the SPAR story
FAQ

Spend visibility questions, answered.

BI dashboards visualize data they don't fix it. Mithra fixes the data before it reaches the dashboard. The result is that your BI reports are built on classified, normalized, governed spend rather than raw ERP output.
Most customers have clean, classified spend data ready for BI within four to six weeks of data connection. A proof-of-value on a sample extract takes two weeks.
Yes. Multi-ERP, multi-entity, and multi-currency environments are standard. Mithra normalizes currency and entity hierarchies as part of the ingestion process.

See your spend the way it actually is.

Share a sample extract and we'll show you a classified, normalized spend view with the confidence scores and review queue behind every number.