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Course overview

The 20 Lessons

1 of 20 unlocked

01Normalize Messy SaaS Vendor Quotes — Unit Conversion, Hidden Fees, Cross-Platform Verification02Review a SaaS Master Service Agreement for Traps — Auto-Renewal, Price Escalation, Data Portability03Compress a Messy Savings Ledger Into the One Page Your CFO Will Sign04The Price-Increase Counter: Make AI Show You What It Can't Know05SaaS License Audit — Checking Contracts Before Cutting Seats06Build the AI-Adoption ROI Case That Survives the CFO07Compare Three Consulting Bids With AI — The $15K Spread That's Really $75008Commodity-Price Drift Monitor — Make the AI Design the Checklist, Then Bring the Index09Auditing a Services SOW Bundle: Feed, Chain, Report10PO Price-Variance Audit — From Raw Extract to Three Director Actions11Freight Landed Cost — Normalizing Quotes That Cover Different Spans of the Same Trip12Make AI Cross-Reference Three Documents Before You Renew a Supplier13SaaS Consolidation: From Three Overlapping Tools to One Committee-Ready Memo14Build a Supplier Risk Register When Three of Your Data Fields Are Lying15Compare Two Freight Contracts by Making AI Build the Crosswalk16Turn Three Fleet Bids Into One Recommendation Your VP Can Sign17Build a Weighted Vendor Ranking from Three Data Sources18From Three Incompatible Equipment Proposals to One Number Your Capital Committee Can Approve19Merge Three Catalogs Without Deleting the One Part Someone's Safety Depends On20Turn Three Maintenance Bids Into One Five-Year Cost of Ownership
All lessons
Course overview

The 20 Lessons

1 of 20 unlocked

01Normalize Messy SaaS Vendor Quotes — Unit Conversion, Hidden Fees, Cross-Platform Verification02Review a SaaS Master Service Agreement for Traps — Auto-Renewal, Price Escalation, Data Portability03Compress a Messy Savings Ledger Into the One Page Your CFO Will Sign04The Price-Increase Counter: Make AI Show You What It Can't Know05SaaS License Audit — Checking Contracts Before Cutting Seats06Build the AI-Adoption ROI Case That Survives the CFO07Compare Three Consulting Bids With AI — The $15K Spread That's Really $75008Commodity-Price Drift Monitor — Make the AI Design the Checklist, Then Bring the Index09Auditing a Services SOW Bundle: Feed, Chain, Report10PO Price-Variance Audit — From Raw Extract to Three Director Actions11Freight Landed Cost — Normalizing Quotes That Cover Different Spans of the Same Trip12Make AI Cross-Reference Three Documents Before You Renew a Supplier13SaaS Consolidation: From Three Overlapping Tools to One Committee-Ready Memo14Build a Supplier Risk Register When Three of Your Data Fields Are Lying15Compare Two Freight Contracts by Making AI Build the Crosswalk16Turn Three Fleet Bids Into One Recommendation Your VP Can Sign17Build a Weighted Vendor Ranking from Three Data Sources18From Three Incompatible Equipment Proposals to One Number Your Capital Committee Can Approve19Merge Three Catalogs Without Deleting the One Part Someone's Safety Depends On20Turn Three Maintenance Bids Into One Five-Year Cost of Ownership

Lesson 17 of 20

Build a Weighted Vendor Ranking from Three Data Sources

Internal Reporting & Value-Proof · Packaging / CPG

Synthetic case data — evidence from real ChatGPT, Claude, Gemini and Copilot runs.

📥 Download the practice file: case-file.txt — three data sources for a fictional CPG packaging category: a Q1 delivery log (with a free-text Notes column), four quality-incident emails, and a three-plant stakeholder survey. Paste into any AI tool to follow along.

The quarterly scorecard ranked the contamination supplier #2 — "Approved, monitor their quality trend." Every number in it was correct.

Two of every twenty-four rolls of shrink wrap arrived with metal shavings pressed between the layers. Plant quality quarantined the rolls at incoming inspection and filed QIR-2026-018: "contamination near-miss," escalated to MAJOR. Metal fragments, one shrink tunnel away from finished consumer packaging. The supplier took four days to acknowledge it and still has not supplied a root cause or CAPA.

That supplier — PeakForm — shows 88.9% on-time delivery and three quality incidents. The scorecard counts the incidents, averages the survey, and ranks PeakForm second. The arithmetic checks out. The ranking does not survive a quality director reading it.

This lesson is about the gap between a scorecard that counts and one that weighs. You will take three messy sources, brief an AI to build a weighted scorecard that treats a contamination near-miss differently from a cosmetic variance, and compress the result into a ranking a director can act on Thursday morning.

You’ve read the free three. The other seventeen are where the misses live.

The first lessons show what a general-purpose AI catches on a procurement task. The rest show what it misses — the unit conversion that survives an expert prompt, the two clauses it lists but never connects, the table that contradicts its own arithmetic. That gap is the job.

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For individual practitioners

  • ✓All 20 lessons, permanent access
  • ✓Practice case files for every lesson
  • ✓Real ChatGPT / Claude / Gemini / Copilot evidence
  • ✓New lessons included as they ship
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Live team workshop

€2,500per team

For procurement teams and their leaders

  • ✓Live 2-hour workshop, run for your team
  • ✓Built on the same 20-lesson curriculum
  • ✓Your categories, your workflows
  • ✓Led by a practitioner running AI adoption inside a Fortune 500 procurement organization
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