A multi-facility healthcare provider faced repeated stockouts on high-priority items, especially during demand surges and supplier disruptions.
The legacy planning process relied on disconnected spreadsheets and static reorder thresholds that could not adapt to changing utilization patterns.
NovaNous implemented a predictive signal layer that combined historical consumption, lead-time risk, criticality tiers, and cross-site substitution logic.
Planners received scenario-based replenishment guidance with confidence ranges, enabling faster and safer decisions during constrained supply windows.
Within one planning cycle, the network improved resilience, reduced critical stockouts, and improved service reliability without excessive overstocking.
Key Takeaways
- 35% fewer stockouts
- Improved service reliability
- Lower emergency orders
- Stronger cross-site coordination
Action Checklist
- Classify SKUs by patient-criticality level
- Model supplier lead-time risk by location
- Enable substitution logic across facilities
- Establish weekly exception-review cadence