Proof library
See the diagnostic before you buy it.
Every sample, demo, and preview on this site uses fictional data. The format, structure, and rigor are identical to what you receive in a real engagement.
What the diagnostic looks like.
A four-part report covering vendor drift, category risk, price exceptions, and a decision memo.
Executive finding
Protein vendor drift is concentrated in high-volume poultry and beef SKUs, moving without an updated price sheet.
Read full report
Top vendor drift
Metroline Protein Supply
Unit cost moved on poultry and beef without a signed amendment
Highest category risk
Protein
Reconcile invoices against price sheet for top-volume poultry and beef SKUs
Top action
Protein vendor drift
Reconcile last 60 days of invoices against signed price sheet for poultry and beef
Eight deliverables. Six buyer paths.
Each artifact is designed for a specific decision-maker and a specific procurement decision.
Executive memos
Margin Leak Brief
sample availableWho uses it: CFO, COO, Board
Data: Vendor drift + category risk + invoice variance
Decision: Where to focus procurement review first
Pilot Decision Memo
diagnostic formatWho uses it: CFO, Procurement lead
Data: Full diagnostic findings + data gaps
Decision: Whether to proceed with recurring review
Procurement work queues
Price Exception Queue
sample availableWho uses it: Procurement team, Category manager
Data: Invoice-to-price-sheet variance by SKU
Decision: Which exceptions to review this week
Vendor Drift Summary
sample availableWho uses it: Procurement lead, Sourcing
Data: Price movement + contract misalignment
Decision: Which vendors need renegotiation or review
Vendor / category diagnostics
Category Risk Console
sample availableWho uses it: Procurement, Finance
Data: Category-level pressure + substitution risk
Decision: Which categories need deeper review
Freight/Rebate Review
diagnostic formatWho uses it: Operations, Finance
Data: Freight trends + rebate accrual gaps
Decision: Where freight and rebate leakage hides
Pack-Size Watchlist
sample availableWho uses it: Procurement, Production
Data: Pack-size changes + unit cost normalization
Decision: Which SKUs have hidden unit cost increases
Data quality artifacts
Data Quality Snapshot
diagnostic formatWho uses it: Finance, Operations
Data: Invoice consistency + SKU coverage + contract availability
Decision: What data to improve before next review
Truth note: This sample uses fictional data for illustrative purposes. No guaranteed savings. No autonomous purchasing. Operator remains the final decision-maker.
Choose the artifact path for your role.
CFO / Finance
Margin Leak Brief → Pilot Memo → Category Risk Console
View diagnostic pathProcurement Lead
Exception Queue → Vendor Drift → Data Quality Snapshot
View diagnostic pathRestaurant Group
Location Variance → Vendor Drift → Pack-Size Watch
View diagnostic pathDistributor
Supplier Exposure → Freight/Rebate → Exception Queue
View diagnostic pathGrocery Operator
Department Pressure → Perishable Matrix → Price Exceptions
View diagnostic pathCommissary
Recipe Cost Drift → Pack-Size Watch → Substitution Log
View diagnostic pathMethodology
How the review is conducted.
A repeatable four-week process built for messy data and real operator constraints.
Intake
Collect vendor lists, invoices, price sheets, purchase history, contracts, rebate notes, freight terms, and SKU/category files.
Normalization
Standardize pack sizes, unit costs, and category mappings. Flag data quality issues and missing fields.
Drift detection
Scan for vendor price drift, invoice variance, substitution patterns, freight movement, and rebate gaps.
Human review
Every signal is reviewed before delivery. No automated conclusion goes to the operator without validation.
Timeline
What happens week by week.
A four-week cadence with clear milestones and deliverables.
Week 1
Intake & data review
Collect vendor lists, invoices, price sheets, purchase history, contracts, rebate notes, freight terms, and SKU/category files. Review data quality and scope.
Week 2
Normalization & drift scan
Normalize pack sizes, unit costs, and category mappings. Scan for vendor price drift, invoice variance, substitution patterns, and freight movement.
Week 3
Category risk & exception queue
Map category-level margin pressure. Build the price exception queue. Review rebate and freight leakage. Human operator review of preliminary findings.
Week 4
Decision memo & pilot plan
Deliver the Margin Leak Brief, Vendor Drift Summary, Category Risk Console, and Pilot Decision Memo with ranked actions and data gaps.
Truth and trust
What you see is what you get.
Every preview on this site is designed to show the exact shape of a real deliverable.
- All sample data is fictional. No live customer data is used in any public preview.
- The format, structure, and rigor of the sample are identical to real deliverables.
- Real diagnostics use operator-specific data, not templates or averages.
- No guaranteed savings. No autonomous purchasing. No vendor negotiation.
Choose the artifact you want to see in your own data.
Start with a 30-minute fit review. No commitment required.