LYIT tracked daily stock levels for 187 parts in one hydraulic room over 11 months. During that time, parts came close to running out 408 times. Each of those near-misses is a moment where, without a restock, the workshop would have been waiting on a part instead of turning wrenches.
We don't claim all 408 caused downtime — most were caught in time. But the pattern shows a real gap between how fast parts get used and how fast they get replaced. When you model even a conservative slice of those events as breakdowns, the potential cost exposure runs into the millions.
This page lets you adjust the assumptions yourself and see what the numbers look like for your operation.
Parts are consumed during planned maintenance and breakdowns. LYIT photographs bin levels daily and tracks the count.
When the consumption pattern shows a part heading to zero, that's a Zero Point — a near stock-out. LYIT fires a low-stock alert before it hits zero.
Each Zero Point is a window where, if a breakdown happened, there's no part on hand. Someone has to drive to surface stores, find the part, and bring it back. That's delay, cost, and road exposure.
| Part Number | Days at Zero | Times It Happened | Total Used | Restocks | Suggested Min Stock | Severity |
|---|
Daily stock visibility. Low-stock alerts. Data-driven reorder recommendations. One hydraulic room, 408 near-misses caught, millions in potential exposure identified.