Day One at Your New Job. The CFO Drops This on Your Desk.
“Our spend data is chaos. Finance says we spend $1.2B annually. Procurement says $1.4B. Nobody knows what we actually buy or from whom.”
You have 90 days to:
- Give me one version of the truth
- Find $50M in savings
- Build a dashboard I can show the board
“Oh, and your team is two people. Good luck.”
Sound familiar?
Every procurement leader faces this moment. The question isn’t whether you’ll face it — it’s whether you’ll have the tools to succeed when you do.
The Traditional Approach Takes Forever
Traditional spend analytics platforms promise to solve this problem. But they also require:
- Massive implementation budgets
- 12-18 month deployment timelines
- Expensive consulting engagements
- Ongoing maintenance and support costs
Claude Opus 4.5 changed everything.
With 200,000 tokens of context (enough for 150,000+ transactions), guaranteed structured outputs, and 50% batch processing discounts — you now have enterprise-grade AI capabilities without the enterprise complexity.
Same results. Fraction of the time. Fraction of the investment.
The 90-Day Transformation System
Spend Analysis Unleashed is not a theoretical framework. It’s a complete implementation system that takes you from data chaos to executive dashboards in 90 days:
| Phase | What You’ll Accomplish | Timeline |
|---|---|---|
| 🔍 DATA FOUNDATION | Assess quality, standardize 15,000 vendors → 3,000, classify 100% of spend | Days 1-30 |
| 💰 INSIGHT GENERATION | Identify $50M+ savings, build Kraljic matrix, benchmark prices | Days 31-60 |
| 🚀 OPERATIONALIZATION | Build executive dashboards, automate pipelines, train team, launch governance | Days 61-90 |
What’s Inside: The Complete Premium Package
📚 23 Comprehensive Chapters
From data assessment to production pipelines — every methodology explained with step-by-step protocols, exact prompts, and production Python code.
📋 245 Battle-Tested Prompts
Copy-paste ready prompts for data assessment, vendor standardization, categorization, savings analysis, supplier strategy, dashboards, automation, governance, contracts, and market research.
📊 Professional Excel Templates
Data Quality Scorecard, Savings Tracker, and 10 prompt library workbooks with 3,500-4,500 token prompts ready to deploy.
📁 10,000-Row Sample Dataset
Realistic Meridian Manufacturing data with intentional quality issues — practice every technique before touching your real data.
📖 10 Complete Appendices
- Appendix A: UNSPSC Taxonomy Reference (complete Level 1-3 codes)
- Appendix B: Data Quality Metrics Dictionary (formulas & thresholds)
- Appendix C: Claude API Quick Reference (code examples)
- Appendix D: Vendor Standardization Rules (1,000+ patterns)
- Appendix E: Sample Dataset Documentation
- Appendix F: Power BI DAX Measures Library (25+ measures)
- Appendix G: Glossary of Terms (80+ definitions)
- Appendix H: Troubleshooting Guide
- Appendix I: ROI Calculator Workbook
- Appendix J: Certification Assessment (validate your expertise)
The Seven Savings Levers You’ll Master
| Lever | What It Does | Typical Savings |
|---|---|---|
| 🔗 Supplier Consolidation | Fewer suppliers, more leverage | 5-15% |
| 📉 Demand Management | Challenge consumption patterns | 10-25% |
| 📐 Specification Standardization | Right-size requirements | 5-20% |
| 📋 Contract Compliance | Use negotiated rates | 3-8% |
| 💲 Price Benchmarking | Market-test your prices | 5-15% |
| ⚡ Process Efficiency | Reduce transaction costs | 20-40% |
| 💳 Payment Optimization | Terms and timing | 1-3% |
The Economics of AI-Powered Spend Analysis
The ROI on proper spend analysis is massive. On a $500M addressable spend:
| Conservative savings rate | 4-6% |
| Annual savings potential | $20M – $30M |
| Payback period | Days, not months |
Even at $100M spend with just 2% savings capture, that’s $2M annually.
One good savings initiative pays for this methodology many times over.
Who This Book Is For
✅ Procurement Analysts who want to stop living in Excel hell and start delivering strategic insights
✅ Category Managers who need better visibility into supplier spend and savings opportunities
✅ Procurement Directors who need to prove ROI to leadership without $500K platform investments
✅ Supply Chain Leaders who want to bring AI capabilities to their teams
✅ Finance Business Partners who need to understand where procurement money actually goes
✅ Data & Analytics Teams supporting procurement transformation initiatives
❌ NOT for you if: You have a $500K budget and 18 months to implement a traditional platform
❌ NOT for you if: You’re not willing to learn Claude Opus 4.5 (though we make it easy)
❌ NOT for you if: Your organization won’t let you use AI tools on procurement data
Complete Chapter List
📦 Part I: The Transformation Imperative (Chapters 1-3)
- Chapter 1: The $50 Million Mess
- Chapter 2: Enter Claude Opus 4.5—Your Unfair Advantage
- Chapter 3: The 30-Minute Quick Win
📦 Part II: Data Cleaning Mastery (Chapters 4-8)
- Chapter 4: The Data Quality Foundation
- Chapter 5: Vendor Name Standardization Mastery
- Chapter 6: Intelligent Category Classification
- Chapter 7: Data Transformation & Enrichment
- Chapter 8: Building the Spend Cube
📦 Part III: Savings Identification (Chapters 9-12)
- Chapter 9: The Savings Opportunity Framework
- Chapter 10: Supplier Strategy with AI
- Chapter 11: Price & Benchmark Analysis
- Chapter 12: Compliance & Maverick Spend
📦 Part IV: Visualization & Dashboards (Chapters 13-16)
- Chapter 13: Data Visualization Principles
- Chapter 14: Building the Executive Dashboard
- Chapter 15: Automated Reporting with AI
- Chapter 16: Self-Service Analytics
📦 Part V: Production Automation (Chapters 17-20)
- Chapter 17: The Claude API for Spend Analysis
- Chapter 18: Production Pipeline Architecture
- Chapter 19: Contract Intelligence with NotebookLM
- Chapter 20: External Intelligence with Perplexity
📦 Part VI: Governance & Scale (Chapters 21-23)
- Chapter 21: Data Quality Governance
- Chapter 22: Team Enablement
- Chapter 23: The 90-Day Implementation Roadmap
Frequently Asked Questions
Do I need a Claude Pro subscription?
Claude Pro ($20/month) works great for learning and ad-hoc analysis. For production workloads, you’ll want API access. The book covers both approaches with exact code and prompts.
What if my company has data security concerns about AI?
Chapter 27 covers security and compliance considerations. Anthropic’s API has enterprise-grade security. Many organizations use Claude for sensitive data with appropriate controls. We discuss what questions to ask your security team.
Will this work for my industry?
Yes. The UNSPSC taxonomy is industry-agnostic. Whether you’re in manufacturing, healthcare, financial services, retail, or government — spend analysis fundamentals apply. The Meridian Manufacturing scenario is relatable across industries.
How much coding experience do I need?
None for Chapters 1-16 — everything works through Claude’s chat interface. Chapters 17-20 introduce Python for automation, but all code is copy-paste ready with explanations. Appendix C provides a complete API reference.
How long until I see results?
Chapter 3 delivers your first AI-powered analysis in 30 minutes. Most readers report cleaning their first 1,000 vendors within the first week. The full 90-day roadmap gets you to production dashboards and documented savings.
What format is the book delivered in?
HTML format (best for on-screen reading with working code examples), plus all templates in Excel format. The prompt libraries are in Excel workbooks organized by workflow.
Is there a free version?
Yes! The Free Edition includes Chapters 1-3, the Glossary, and a 1,000-row sample dataset. It’s a great way to validate the methodology before investing in the full system.
Ready to Transform Your Spend Data?
Stop drowning in Excel. Stop waiting 18 months for expensive platforms.
Start delivering insights your CFO actually wants to see.
Your 90-day transformation starts now.
Instant download. Start cleaning data in the next 30 minutes.
