...and that's when the KPI blew up in front of our eyes!
We were preparing for Quarterly Business Reviews (QBRs), {{FIRST_NAME|my friends}}…
And we were ready to demand penalty payments from suppliers based on On-Time In-Full (OTIF) failure reports. The stakes were high: hundreds of thousands in breach penalties.
But before we acted, we double checked the data… And felt like idiots: the suppliers were on time; our warehouses were late in logging goods receipts in our own system…
Everything was fine and we were about to torpedo relationships for a problem of our own making…
This gap: the one between what the numbers say and what's actually happening, is the theme running through this month's Top 5 stories. We see it everywhere: in procurement benchmarks, AI strategy, leadership, and climate targets.
This month’s editions cut through the noise on this issue.
Real data. Real problems. Real fixes.
Onwards!
How the Monthly Top 5 Works…
Every month, I comb through 1000+ articles across 40+ sources to bring you the best free procurement articles on the web.
My picks are based on what I feel is the most concrete, actionable and useful content I came across that month.
I sort through the noise so you don’t have to.
📰 In this month’s edition:
No. 1 - Benchmarking Just Got Real: Sievo Analyzes $1.4 Trillion in Spend
No. 2 - Nobody Knows How the AI Platform Shift Will Actually Play Out
No. 3 - How to Lead When Everything Feels Out of Control
No. 4 - The Cash Flow Problem You Didn’t Know You Had…
No. 5 - The 1.5°C Climate Target Is Mathematically Dead
Let’s dive in!

No. 1 🥇
Benchmarking Just Got Real: Sievo Analyzes $1.4 Trillion in Actual Spend Data
Most procurement benchmarks rely on surveys and self-reported data. Sievo just changed the game with their first State of Spend report built entirely on real transactions: $1.4 trillion in purchase orders, invoices, and supplier payments. That's roughly 2% of global GDP analyzed across six major industries.
Unlike traditional reports where teams estimate their performance, this reveals what top performer data actually says... Real KPI benchmarks across PO coverage, payment timing, invoice processing, and supplier concentration. Very cool!
The Bottom Line: Survey-based benchmarks show what people claim. Transaction-based benchmarks show what actually happens. The difference matters when identifying where you stand and what realistic improvements look like.
Action Item: Download the report and compare your KPIs against industry-specific benchmarks. Focus on gaps between top and bottom performers. That will help you develop your improvement roadmap.
Sievo State of Spend 2025
by Sievo
👀 In Case You Missed It…
My Best Linkedin post of the month:
Should you build your own procurement AI agents? Wrong question.
No. 2 🥈
Nobody Knows How the AI Platform Shift Will Actually Play Out
Tech analyst Benedict Evans' latest "AI Eats the World" presentation is a great overview of what’s happening today: we're in a massive platform shift, and almost nobody knows what they're doing (whatever they may claim…). Will AI lead to market consolidation or fragmentation? Should we measure adoption or outcomes?
Every platform shift follows the same pattern. Nobody knows how it works, most early questions turn out to be wrong, and the path forward only becomes clear in retrospect. AI is no different. Evans argues we're asking users to figure out what AI is for, which is backwards from how successful technology spreads.
The Bottom Line: Platform shifts create uncertainty, not clarity. The organizations that win won't be those with the best AI strategy today. They'll be those comfortable operating in ambiguity while competitors demand certainty that doesn't exist yet.
Action Item: Stop trying to "solve" your AI strategy. Instead, run small experiments, watch what actually works (not what should work), and stay flexible. The answers will emerge from use, not planning sessions.
AI Eats the World
by Benedict Evans
No. 3 🥉
How to Lead When Everything Feels Out of Control
The world is too complex, fast, and fragmented for old leadership models of “total control” to work. This HBR piece argues that leaders often sacrifice long-term imagination and morale by defaulting to urgent firefighting when complexity rises.
Instead of clinging to the illusion of total control with micromanagement tendencies, this article offers five tangible ways to manage the "underground currents" of your organization: imagination, morale, and momentum. The central idea is to keep the ambition big (the long-term story) but make the time horizon small (like 90-day strategic cycles) so teams can operate with confidence in chaos.
The Bottom Line: Control and fear-based leadership kills innovation faster than any external threat. The solution isn't demanding teams have all the answers. It's building systems that create clarity when none exists naturally.
Action Item: Start with one practice: build a policy intelligence system, not a rumor mill (recipe provided in the article). Most organizations run on speculation rather than intelligence. Then layer in real options, an AI operating doctrine, protected vision time, and collaborative supply chain resilience.
How to Lead When Things Feel Increasingly Out of Control
by Eric Solomon and Anup Srivastava
👀 In Case You Missed It…
I recently partnered with spoke at the Zip Forward Conference:
A Skeptic’s Look at Artificial Intelligence in Procurement
No. 4 🏅
The Cash Flow Problem You Didn’t Know You Had…
Many organizations believe they manage cash flow well. Forecasts look accurate, dashboards appear complete. Yet payment delays, missed discounts, and supplier frustration continue. The problem? Finance and Procurement handle cash flow separately with different goals, tools, and success measures.
Finance extends days payable outstanding to protect liquidity. Procurement prioritizes supplier relationships and timely payments. Without coordination, these objectives conflict, creating unpredictable cash positions, strained supplier relations, and reduced working capital efficiency.
The Bottom Line: Integrated platforms and “AI-based processing” only work when Finance and Procurement operate as parts of the same system. Alignment, not automation, turns cash flow from a problem into strength.
Action Item: Map three misalignment areas: (1) Are both using the same data for forecasts? (2) Are payment terms negotiated jointly? (3) Do invoice approvals align with cash planning? Fix these before buying investing in tools.
Cash Flow Isn't Broken — Your Alignment Is
by Xavier Olivera at Spend Matters
👀 In Case You Missed It…
The Last 3 Sunday Night Notes:
1/ The Supplier Master Data "Single Source of Truth" Myth
2/ SAP Ariba Just Killed the Legacy Source-to-Pay Suite
3/ Stop Waiting for Perfect Data: AI Sourcing Examples
No. 5 🎖
The 1.5°C Climate Target Is Mathematically Dead
The Global Carbon Project's 2025 report says it plainly: we have four years left before exhausting the carbon budget for 1.5°C warming. With emissions at 42 billion tons annually, we'd need to cut them 20% immediately just to extend that to five years. Not happening.
Fossil emissions increased 1% this year despite strong renewables growth. While we are approaching “peak carbon” (China flatlining, land use emissions dropping), it’s too little, too late for 1.5°C. BUT 2°C is still possible if efforts accelerate.
The Bottom Line: The death of 1.5°C doesn't mean giving up. Every tenth of a degree matters. The difference between 2.1°C and 2.5°C is massive for impacts. Realistic targets beat fantasy planning.
Action Item: Stop tracking the dead 1.5°C target. Formally re-anchor your commitment to the 2°C trajectory and launch projects to achieve absolute emission reduction (not offsetting). Every tenth of a degree matters.
What Happened to Global Carbon Emissions this Year?
by Hannah Ritchie at Sustainability by Numbers
What was your favorite story this month? Why?
🌯 That’s a Wrap…
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