What it is
A service-level miss can come from forecast bias, a supplier slip, a wrong parameter or a store that skipped an order — and the KPI alone will not say which. Linkube decomposes each deviation across the planning chain, attributes it to specific drivers, and quantifies what each driver cost. Teams correct the setting that failed rather than adding stock to hide it.
What you get
- Root causes ranked by cost and frequency
- Forecast bias separated from execution misses
- Corrective actions tied to the parameter at fault
- Recurring deviations flagged before they turn chronic
How it works
- 01
Compare plans against actuals across forecasts, orders, deliveries and shelf availability
- 02
Attribute each gap to drivers and rank them by financial impact
- 03
Assign corrections to owners and verify the deviation closes
Works well with
Ready to see Linkube on your data?
Book a working session with our team and we’ll map Linkube to your planning and risk workflows.