Spend clarity across every store, banner, and region.
Retail indirect spend scatters thousands of line items across formats and systems. Mithra hands retail teams one clean, classified view they can act on.
A million transactions, and no way to trust them.
Retail groups buy across hundreds of stores, banners, and a long tail of categories nobody owns. Spend sits under article codes, suppliers appear a dozen ways, and much of the value lands in "Other." The strategy is clear; the data isn't.
Scattered across banners
Spend fragmented by store, format, and region with no shared view.
No category taxonomy
Categorization tied to article and material codes, not procurement.
Fragmented suppliers
One vendor split across many name variants and store systems.
Indirect spend nobody owns
The long tail hides leakage, maverick buying, and savings.
From raw transactions to a trusted retail spend view.
Hand over the spend data. Mithra builds the taxonomy, classifies every line, and resolves the supplier base, so indirect spend is finally visible across the estate.
- A procurement-native taxonomyBuilt where none existed, so spend maps to categories, not codes.
- Classify & harmonize indirect spendEvery line cleansed, harmonized, and correctly classified.
- One unique-supplier viewDeduplicate vendors across banners to trim the long tail.
- 100% coverage, with evidenceEvery classification carries a confidence score and reason code.
| Supplier | Spend | Category | Conf. |
|---|---|---|---|
| Regional Cold Chain Ltd | €41.2M | Logistics | 98% |
| Store Fit-Out Co. | €12.6M | Uncategorized | 38% |
| Shelf-Ready Packaging | €9.4M | Packaging | 96% |
| In-Store Media Group | €7.1M | Marketing | 74% |
| Facilities & Cleaning SA | €4.8M | Store facilities | 95% |
Run indirect spend on evidence, not estimates.
100% covered
Total indirect spend classified and correctly categorized across the estate.
Weeks, not years
A trusted spend view in weeks, instead of two analyst-years by hand.
Trim the long tail
A true unique-supplier view to consolidate vendors across banners.
Numbers you trust
Classification accuracy that holds up to board-level reporting.
SPAR put a million transactions in order in three weeks.
Over R3bn of indirect spend was misclassified with no category taxonomy at all. Three weeks after handing Mithra the data, SPAR had a clean, fully covered spend cube it could act on.
"Once you get your data right, the world's your oyster you can layer insights on top of that."
Kate HandsGroup Procurement Executive, SPAR Group
See what Mithra finds in your retail spend.
Share a sample extract and we'll show you classified indirect spend, normalized suppliers, and your first ranked opportunities, with the evidence behind every number.