Case study
Using real-time inventory data to lower operating cost.

Operating shift
Inventory decisions based on delayed, separate data
Real-time inventory signals tied to laboratory activity
Inventory information and laboratory demand lived in different systems. Teams reconciled the picture by hand and could not act quickly on shortages or excess stock.
The laboratory connected inventory, LIMS, and operating information so purchasing and stock decisions could follow current demand.
Inventory signals became visible with laboratory activity. Teams could make faster purchasing and stock decisions with less manual reconciliation.
Leadership decision
Inventory decisions became faster once laboratory and operating data moved together.
Real-time inventory signals tied to laboratory activity
The constraint
Inventory information and laboratory demand lived in different systems. Teams reconciled the picture by hand and could not act quickly on shortages or excess stock.
The decision
The laboratory connected inventory, LIMS, and operating information so purchasing and stock decisions could follow current demand.
What followed
Inventory signals became visible with laboratory activity. Teams could make faster purchasing and stock decisions with less manual reconciliation.
How the operation changed
One result. Three connected moves.
Connect cost to operating demand.
Identify the stock, usage, and testing signals leaders need to see together.
Unify inventory and LIMS data.
Create a current view without relying on manual exports and reconciliation.
Support faster stock decisions.
Give teams timely signals for purchasing, shortages, and excess inventory.
What leaders can carry forward
The result depended on the operating conditions around the technology.
- Tie inventory to the work that consumes it.
- Use current signals instead of monthly reconciliation.
- Make the decision owner clear when stock risk appears.


