In a real-world case at one global technology company, we achieved $5 million in annual savings — not through drastic cuts or sweeping restructures, but by rethinking the way we approached new purchases. We asked tough questions, used data the right way, and built a model that combined risk analysis, planning collaboration, and agile inventory thinking.
Too often, when a part appears to be missing, the default reaction is to place a new order. But that habit comes at a cost — especially when the part is sitting idle in another location or when system parameters are out of sync with reality. We challenged this mindset by building a simple but bold model:
This opened the door to more strategic decisions: sometimes it was better to use a part now via preventive maintenance, rather than hold it indefinitely. Other times, visibility into global stock avoided a new buy altogether. In both cases, we stopped guessing — and started deciding based on facts.
Savings began with analytics — but they grew through cross-functional collaboration, especially with planning teams. Together, we:
We reviewed outdated assumptions, automated where it made sense, and introduced human checkpoints where systems needed oversight. Agile principles guided our approach: test small, measure often, and adjust quickly. This wasn’t about eliminating automation — it was about making sure the automation worked for us, not against us.
The financial impact was real — $5 million saved annually by avoiding new buys. But the cultural shift was even more valuable. The organization learned to:
We proved that cost avoidance isn’t about saying “no” — it’s about using the right tools, people, and processes to say “here’s a smarter way.” That mindset built resilience, efficiency, and long-term value across the supply chain.