Illustrative scenario. Figures are modelled on typical Omnifys deployments and are not drawn from a named client engagement.
The challenge
An aerospace MRO facility servicing commercial fleets ordered parts after teardown inspection. Aircraft sat waiting for components, and the facility carried heavy inventory of parts it might never need while lacking the ones it did.
What Omnifys deployed
- Parts requirement prediction from inbound condition and history data
- Pre-ordering against confidence-scored forecasts
- Inventory rebalanced continuously against predicted demand
- Exception alerts when actual teardown diverges from prediction
Agents used: Predictive Maintenance Agent, Inventory Forecasting Agent, Procurement Agent.
Results
- 22% — reduction in MRO turnaround time
- 37% — reduction in aircraft-on-ground parts wait
- 18% — reduction in inventory carrying cost
- 84% — parts prediction accuracy at teardown
Why it worked
Waiting for teardown to order parts was the constraint. Predicting the likely bill of work moved the ordering decision weeks earlier.
Explore this for your business
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