Latest / The Buyer's Side with Fexingo: Procurement, Sourcing, and B2B Purchasing Decisions / How a Buyer Used Supplier Risk Scoring to Cut Disruptions 40 Percent
Transcript
- Lucas: A mid-sized industrial manufacturer — let's call them Precision Components — had a problem that kept their procurement team up at night: every few months, a critical supplier would go down, and they'd find out after the fact. Luna: That classic reactive scramble. How did they even discover it — a missed shipment? Lucas: Exactly. A missed shipment, a quality reject, or worse — a supplier going into receivership with no warning. They tracked it, and over two years they had 23 significant disruptions across their supply base. Each one cost them tens of thousands in expedite fees, idle labor, and lost sales. Luna: Twenty-three events — that's almost one a month. And I'm guessing most of those were from suppliers they thought were stable. Lucas: Right. So their CPO said, we can't predict everything, but we can at least stop being surprised. They built a supplier risk scoring system. And after twelve months, disruptions dropped by 40 percent. Luna: Forty percent is a big number. How did they structure the scoring? Lucas: They used a three-tier model. Tier one was financial health — things like quick ratio, debt to equity, payment history with other buyers. Tier two was operational exposure — single-site dependency, geographic concentration, how many of their own suppliers were sole-source. Luna: And tier three? Lucas: Geopolitical and regulatory risk. Suppliers with factories in regions prone to trade disputes, labor strikes, or natural disasters got a higher score. They combined all three into a single composite number from 1 to 100. Luna: Where did they get the data? A lot of that isn't public, especially for privately held suppliers. Lucas: That was the hardest part. They started with public filings for any publicly traded suppliers — about 30 percent of their base. For the rest, they built a data-sharing program. They offered suppliers a carrot: faster payment terms and longer contract commitments in exchange for quarterly financial statements and production capacity reports. Luna: So a trade — data for cash flow. Did suppliers push back? Lucas: Initially, yes. About 40 percent of their suppliers declined. But the CPO made it clear: suppliers that didn't share data would be automatically scored at a higher risk level, which meant less preferential allocation during shortages. After a year, 85 percent were participating. Luna: That's a big shift. What did they do with the scores once they had them? Lucas: They created a traffic-light dashboard — green, yellow, red — that updated monthly. Green suppliers were no-action. Yellow triggered a review: procurement would call the supplier, ask about the change, and sometimes send a quick questionnaire. Red triggered an immediate cross-functional team — procurement, engineering, finance — to decide whether to dual-source, build safety stock, or start a qualification process with an alternate supplier. Luna: So the score didn't just sit in a spreadsheet — it drove action. I'd love to hear a concrete example of a red flag they caught early. Lucas: One of their stamping suppliers — a family-owned metal fabricator in the Midwest — suddenly moved from green to yellow. The financial tier flagged a rising debt to equity ratio. Procurement called, and the owner admitted they'd lost a major customer and were burning through cash. Within 60 days, Precision Components had qualified a second stamping supplier and shifted 30 percent of volume. The original supplier eventually filed for Chapter 11, but Precision never missed a shipment. Luna: That's the dream, right — catching it before it becomes a crisis. But I wonder, does this system create a burden for small suppliers? They're the ones least likely to have the resources to produce quarterly reports. Lucas: That's a fair point. Precision addressed it by offering a simplified template — just five key data points instead of a full financial statement. They also allowed suppliers to submit through a secure portal with no manual entry. The CPO told me they viewed it as an investment in supplier development, not a surveillance tool. Luna: I like that framing. What about suppliers that still refused? Lucas: For critical components, they accepted the risk and built inventory buffers. For non-critical, they simply phased them out over time. It wasn't punitive — it was about aligning with suppliers who wanted a transparent relationship. Luna: And the 40 percent disruption reduction — how did they measure that? Was it purely the number of events, or did they factor in severity? Lucas: They tracked both. The number of disruptions dropped from 23 over two years to 14 over the next twelve months. But more importantly, the severity score — based on cost and downtime — dropped by over 50 percent. Because the disruptions they did have were smaller, caught earlier. Luna: So the system didn't eliminate all surprises, but it made the surprises smaller. That's still a win. Lucas: Exactly. And the CPO said the biggest cultural shift was that procurement stopped being the department that delivers bad news. They became the team that prevented it. Luna: That's a powerful shift. You know, this kind of practical, preventive work is exactly why we love covering procurement on this show. And it's also why we keep this podcast ad-free — no sponsors, no interruptions, just useful cases. Lucas: Right. If these conversations have moved your thinking forward in some small way, the best way to keep that going is simple: buy me a coffee dot com slash fexingo. It's not about perks — it's about supporting the choice to keep this show free and focused on real practice. Luna: Yeah, exactly. No pressure, just an option for anyone who finds value here. Lucas: So back to Precision's model — one thing that surprised me was how quickly the scoring system paid for itself. The CPO estimated the total cost of building and running the system for a year was about $80,000 — mostly software and labor. The avoided disruption costs in that first year? Over $400,000. Luna: Five-to-one ROI in year one. That's a boardroom-friendly number. Were there any unintended benefits? Lucas: A few. The sales team started using the supplier risk scores in customer presentations to show that Precision had a resilient supply chain. That helped win two new contracts worth over $2 million combined. Luna: So risk scoring became a selling point. I love that. Lucas: Also, some suppliers improved their own operations just because they were being measured. One supplier told Precision that the quarterly reporting forced them to get their own accounting in order — they'd been running on gut feel for years. Luna: That's a nice side effect — you're helping suppliers become better businesses. But let's talk about the dashboard itself. How did they keep it from becoming just another report nobody reads? Lucas: Good question. They embedded it into the weekly procurement stand-up. Every Monday, the team reviewed the top five suppliers that had moved from green to yellow or yellow to red. That forced a conversation, not just a glance. And the CPO personally reviewed the red-list every month. Luna: Leadership attention is key. If it's not on the CPO's radar, it dies. Lucas: Absolutely. They also linked the scores to the annual supplier business reviews. If a supplier improved their score, they got recognized. If it deteriorated, it was a formal discussion point. Luna: What about suppliers that scored well consistently? Did they get any preferential treatment? Lucas: Yes — they were prioritized for new business. Precision's product development team would consult the risk score before sourcing new parts. A green supplier got first look. That created an incentive for suppliers to stay transparent. Luna: So the system was both a shield and a carrot. I want to ask about scalability — Precision had about 200 suppliers. What if you're a buyer with 5,000? Lucas: That's where automation matters. Precision's system was mostly manual data entry. A larger buyer would need to integrate with third-party risk data feeds — Dun & Bradstreet, Moody's, or specialized platforms like Resilinc. The scoring logic scales, but the data collection has to be automated. Luna: And what about the opposite — a buyer with only 20 critical suppliers? Lucas: Then you can probably do it with a spreadsheet and a quarterly phone call. The framework is still useful — it just forces you to be systematic about what you're tracking. Luna: What would you say is the single most important step for a procurement team that wants to start risk scoring tomorrow? Lucas: Pick your top 20 suppliers by spend and exposure. For each one, answer three questions: What's their financial health? How dependent are they on a single location or customer? And what's their geopolitical risk? Score each 1 to 5, add them up, and you have a crude but functional risk score. Then start the conversation with the ones that score highest. Luna: That's actionably simple. So the barrier to entry is really just the willingness to start. Lucas: Exactly. And the payoff — Precision's 40 percent reduction in disruptions — shows it's worth the effort. The question isn't whether you can afford to do it. It's whether you can afford not to.