Stop Running Out of Critical Spare Parts
Inventory & Spares Management gives live stock and location visibility. Condition Monitoring & PredictM 4.0 forecasts what you’ll need before the failure that would otherwise trigger a rush order.
A Missing Part Is a Line Down
A stockout during a breakdown means the line stays down while someone sources a part on emergency terms — premium freight, a scramble across plants, or a repair that waits until the part arrives. Most of that scramble is avoidable with visibility into what’s actually in stock, and where.
Know What You Have, Then Know What You’ll Need
- 01
Know what you have, and where it is
Every spare part sits in one master record with a tracked bin, shelf and store location — searchable in seconds during an active breakdown.
Inventory & Spares Management - 02
See it move in real time
Every receipt and issue is logged automatically, tied directly to the maintenance work order that consumed it — stock levels are never a guess.
Inventory & Spares Management - 03
See the stockout coming before it happens
Condition Monitoring & PredictM 4.0’s failure-risk forecast feeds predicted parts demand into reorder planning, so a part can be pre-positioned before the failure that would otherwise force a rush order.
Condition Monitoring & PredictM 4.0
What This Looks Like on Your Floor
Locating a critical spare in seconds during an active breakdown
Bin-level location search replaces a physical search through the stores while a line sits down.
Cutting excess safety stock on slow-moving parts
Real consumption history justifies a lower min/max on parts that were only ever over-ordered out of habit.
Pre-positioning a part before it’s actually needed
A predicted failure risk from PredictM 4.0 triggers a reorder ahead of the failure, instead of after it.
Related Solutions
Frequently Asked
It works standalone — the parts master, location tracking, and maintenance-integrated consumption are real value on their own. Condition Monitoring & PredictM 4.0 adds the predictive demand signal on top, when both are deployed together.

