Run the group from one place.
Targets, end-of-month forecast, interventions already underway and the consequence of doing nothing are brought into one operating view.
Current interventions can close most of the forecast gap if executed this week. Without intervention, unused capacity and treatment leakage are likely to widen the shortfall.
Modeled forecasts are decision-support estimates, not guarantees. Assumptions remain visible to the operator.
| Branch | Target | Forecast | Pace | Utilisation | Risk |
|---|---|---|---|---|---|
| Riyadh North | SAR 980k | SAR 1012k | 103% | 87% | Low |
| Olaya | SAR 860k | SAR 842k | 98% | 81% | Low |
| Riyadh East | SAR 760k | SAR 731k | 96% | 79% | Medium |
| Jeddah Tahlia | SAR 810k | SAR 742k | 92% | 69% | High |
| Jeddah Corniche | SAR 650k | SAR 628k | 97% | 74% | Medium |
| Khobar | SAR 610k | SAR 594k | 97% | 76% | Medium |
| Dammam | SAR 510k | SAR 499k | 98% | 73% | Low |
| Madinah | SAR 400k | SAR 386k | 97% | 70% | Medium |
Jeddah’s under-utilisation, unbooked accepted treatment and claim exceptions compound into an estimated additional SAR 96k downside by month end.
Branch managers can see exactly which interventions are owned, which are unassigned and where expected impact is concentrated.
Measure → forecast → intervene → assign → track → reforecast. This is the layer that turns Sitora from analytics into an operating system.