The monthly supplier spend review that actually changes decisions
A one-hour routine: reconcile, rank, compare, and decide β turning supplier invoices into next month's purchasing moves.
A monthly spend review is not accounting hygiene β it is how purchasing strategy gets made in a business too small for a purchasing department. The invoice data is already collected as a side effect of paying bills. The only question is whether anyone turns it into decisions. The routine below takes about an hour and produces exactly two outputs: what changed, and what you will do about it.
The four-step routine
- Reconcile first. Open credit memos and unresolved disputes make every downstream number unreliable. Zero them out or explicitly park them.
- Then rank. Category-level ranking exposes what actually moved; supplier-alphabetical lists hide a 20% protein increase inside a wall of familiar names.
- Decide last, on purpose. A review ending without a decision was data collection. Two decisions per month β one negotiation, one consolidation or switch β compounds fast.
A worked example
Monthly spend β¬31,400 across 14 suppliers. Protein is up 11% versus June (β¬2,880) driven by two suppliers' line drift; produce is flat; three overlapping dry-goods suppliers cover similar catalogs.
| Protein spend | β¬12,910 (+11% vs June) | negotiation target β drift documented since May |
|---|---|---|
| Dry goods | β¬6,220 across 3 suppliers | consolidation candidate β overlap ~70% |
| Open credits | β¬212 unresolved | blocker β resolve before ranking |
| Beverages | β¬4,100 (flat) | no action this cycle |
Two decisions came out: renegotiate the drifted protein lines with documented evidence, and trial consolidation of two dry-goods suppliers next month.
Interactive example Β· price spread
Spread between your highest and lowest quoted unit price: β¬6.30 (β¬39.90 β β¬46.20). Compare the quoted prices with each supplier. This is a price difference, not a savings projection.
Keeping score across months
- 1Track decision follow-through. Last month's decisions get checked first: did the negotiation happen? did the consolidation trial run? Unexecuted decisions are the most common failure of this whole routine.
- 2Keep a price memory. Three months of per-unit prices per key item makes drift visible without tools. Comandero keeps this automatically from invoices.
- 3Separate signal from seasonality. Compare against both last month and same month last year where history exists. A tomato spike in August is weather; in February it is a supplier problem.
- 4Feed the consolidation plan. Repeated reviews build the evidence base for supplier consolidation β which categories have real overlap and which suppliers keep drifting.
FAQ
- How is this different from accounts payable reconciliation?
- Reconciliation asks 'did we record everything correctly?' The spend review asks 'is this the right money to be spending?' They share data but answer different questions.
- What if I only have paper invoices?
- The routine still works β it just costs more manual tabulation. Digitizing invoices into structured data removes the most tedious step, which is why we built Comandero around it.
- Which single metric matters most?
- Per-unit price trend on your top ten items by spend. It catches drift earlier than any aggregate and directly feeds negotiations.
- When does consolidation beat negotiation?
- When volume concentration gives leverage: fewer, bigger orders earn better terms than spread ones. The reviews tell you which categories have the overlap to make that trade.
Keep reading
- Score your suppliers on more than price
A simple scorecard for restaurant suppliers: fill rate, substitutions, accuracy and price stability alongside cost.
- Catch invoice line-price drift before it eats your margin
Compare each invoice line against expected unit prices and act on real variances, not noise.
- Consolidate suppliers without losing leverage
When merging volume with fewer restaurant suppliers helps β and when it quietly costs you money.
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