Strategic Sourcing - Category Management - AI-Enabled Procurement
MSc Supply Chain, Michigan Ross '26
Five years of corporate transformation at Atlas Copco, plus two hands-on consulting engagements at Michigan Ross. Each project is a full story - not a bullet point.
The machining commodity at Leybold was inherited chaos. Passed down through acquisitions and shifting production lines, nobody had stopped to look at it properly. By the time I arrived, there were 89 vendors supplying a $9M category with no allocation logic, no consolidation strategy, and no clear ownership.
Most vendors had mediocre delivery and quality. The admin burden alone was staggering - 89 separate audit cycles, 89 invoice streams, 89 communication threads. Most of it was reactive: following up on the same late deliveries, the same quality issues, week after week.
Then the buyer who had been managing this commodity left without notice. No handover. No context. Just gone. That's when I stepped forward and took it on.
"Nobody had ever paid attention to the silo growth of this commodity. The buyer left without any notice - and that's when I took initiative to take it over."
The moment I mapped the vendor base against the spend, the opportunity was obvious. Machining is a leverage commodity - abundant supplier options in low-cost and best-cost countries, low switching costs, no special fixtures required to move business.
But beyond the commercial logic, something else struck me. We were over-relying on high-cost country vendors simply because those were the ones who had been selling to us for years. Eastern European best-cost vendors - perfectly capable, geographically close - were barely being used. Not because they were worse. Just because nobody had looked.
"We were not utilizing best-cost country vendors to their potential - rather relying on high-cost country vendors because those were the ones fast-selling to us."
I started by building two things simultaneously: a thorough evaluation of all 89 vendors across eight dimensions, and a communications energy matrix - mapping how much time and effort each vendor was consuming versus the value they were delivering. That energy matrix was as revealing as any spend report.
"If you talk to the right people at the right time and ask the right questions, the effort is much lower than it sounds - and it gives you a good bird's eye view of the commodity."
There was one vendor that stays with me - a cylinder supplier based in France. For three consecutive quarters: always late, constant quality issues. My supply chain colleague was spending almost three hours every week just following up with them. My quality engineer was regularly pulled in.
"Three hours every week - this is time that could have popped up on your computer screen without any effort. Just following up on the same thing, again and again."
Before making any decision, I gave them a formal three-month improvement window. We invested real effort during those months. And I was honest with myself - some of what I saw might have been genuine improvement starting to take hold.
But the pattern was consistent. After three months without the results we needed, I informed them we would be moving away. The conversation was difficult. The vendor took it personally. Said they would fix lead times. Could invest. Needed more support from our side.
"I can see he was really trying for those last three months. But the decision had to be based on the pattern - not just the last chapter."
The offboarding process was more complex than the decision itself. I coordinated across finance, warehouse, engineering, legal, and - critically - did a group-level check to ensure no other Atlas Copco entity would be blindsided. Where they were, I involved that buyer before any announcement went out.
Vendor lead times were stuck at 80 days - not because of capacity, but because forecast accuracy had collapsed to 30%. Suppliers had stopped trusting our demand signals and defaulted entirely to make-to-order. We only got parts when we were already under pressure.
During a supplier visit, I asked why lead times were so long. The vendor said simply: "Your forecast is wrong 70% of the time. We can't plan for you." That was the honest truth nobody had said out loud before.
I realized all our parts ran through the same manufacturing line. Instead of forecasting by SKU - which required accurate demand signals we didn't have - we could book the line's weekly capacity as a block and decide what went through it 15 days ahead, based on actual confirmed requirements.
I set up a bi-weekly call between myself, our demand planner, and the vendor to lock the following two weeks' mix. The vendor got guaranteed utilization. We got confirmed delivery. Both sides won.
"We shifted from asking when can you deliver this part - to: we are booking your capacity, here is what goes through it."
Engineering and suppliers weren't communicating during new product development. Drawings were finalized internally and handed to vendors late. When feasibility issues surfaced, other parts of the product were already locked in - so changing one drawing meant reopening decisions everywhere. Costly rework loops. Delayed launches. A blame cycle between engineering and supply chain that served nobody.
I came from R&D. I had been on the engineering side - I understood how drawings get made, where assumptions creep in, and why manufacturability is often an afterthought. That perspective made me uniquely positioned to bridge this gap.
The hardest part was convincing engineering. Leybold was engineering-led - procurement was not traditionally seen as a design-phase function. I started by attending design reviews as an observer, asking questions rather than making demands, and demonstrating that I understood the engineering constraints.
Once that credibility was there, I proposed formal early supplier involvement: three of our best vendors under NDA, brought into the design phase to flag manufacturability issues early, weekly reviews, and then a competitive bid once the design was frozen.
"Procurement's highest-value moment in NPI is before the drawing is frozen - not after. That's when changes are still cheap."
Post-acquisition, 7 different contract templates existed across 5 countries. Same vendor, wildly different terms - some plants recovered quality costs from vendors through charge-backs, others didn't, because their contract never mentioned it. IP protection clauses varied. NDA standards were inconsistent.
This created real business risk - and it was creating frustration for vendors too, who were trying to understand why they were being treated differently by what was supposed to be one company.
I audited all 7 templates with legal and regional VPs. Built a master agreement covering 80% of shared terms, with country-specific appendices for the remaining 20%. The goal was one framework that any entity in the group could use without a full legal review for every new vendor.
Casting defect rates were running at 30,000 PPM. Significant scrap costs, production disruptions, supplier disputes. What struck me was that everyone had accepted this as normal. It had been that way long enough that it became part of the baseline - not a problem to solve.
I was new and perhaps naive enough to ask "why" when more experienced colleagues had stopped asking. I had an engineering background and an instinct that defects at that level always have a process cause.
I visited the supplier facility and spent time on the floor - not just in the meeting room. I walked the process from raw material receipt through casting, fettling, and storage. That's where I found it: cast parts were being stored in an open area with no humidity control. The moisture was causing micro-porosity and surface defects that looked like metallurgy problems but were actually a storage and handling issue.
The solution was a controlled storage area - enclosed, with humidity monitoring. No new tooling. No material changes. No process redesign. Just a different way of handling what was already being produced.
"Quality problems in casting are rarely about the machine - they are usually about the process around the machine."
Two real client engagements - structured problem-solving in a consulting frame.
Interactive tools built from 8 years of sourcing aluminum and iron castings across India, China, and Germany. This is domain knowledge made explorable.
The Sanger Leadership Crisis Challenge is a 24-hour simulation where teams are placed at the top of a company facing an unfolding crisis. No perfect information. Competing stakeholder demands. Real decisions with real consequences. The board assessing you is made up of senior industry executives - not faculty.
The Executive Presence Award is not given for the best analysis or the most complete answer. It is given to the person who, under genuine pressure, demonstrated the kind of calm, clarity, and direction that makes people feel safe to follow. That is a different standard.
AI does not replace procurement judgment. It accelerates it. The professionals who will lead the next decade are the ones who understand both the domain and the tool.
The Sanger Leadership Crisis Challenge is not a case competition. It is a 24-hour simulation where you sit at the top of a company that is falling apart - and the board watching you is made up of real senior executives, not faculty.
Strategic sourcing - category management - global supply chain. Automotive, manufacturing, and industrial companies. Willing to relocate.