CAIRE ESS (Employee Shift Scheduling) generates optimized work schedules for your entire workforce — automatically, in minutes. AI balances demand, contracts, working time rules, and continuity to create sustainable shifts.
ESS (Employee Shift Scheduling) is CAIRE's module for automatic shift planning. The system takes visit demand for a planning period and generates a complete work schedule for all employees — including shifts, breaks, and travel time between visits.
ESS reads visit volume by day and hour, and sizes staffing needs precisely against real care demand — not a historical average.
Automatically respects collective agreements, working time regulations, minimum rest between shifts, maximum weekly hours, and your organization's own scheduling policies.
ESS output feeds directly into FSR (route optimization). Together, ESS + FSR create a fully optimized schedule from shifts to individual visit assignments.
The AI model weights staff assignments to minimize the number of unique caregivers per client — aligned with SKR's recommendation of max 8 staff per client.
Run multiple ESS solutions with different parameters (e.g. travel overhead ratio, overtime limit) and compare outcomes in per-day supply/demand charts.
Once you select the best ESS solution, apply the shifts to the schedule directly in the interface. Shifts appear immediately in the Bryntum workspace as input for FSR.
From visit demand to applied shifts — four steps.
The scheduler imports the visit plan for the period. The system calculates total demand in hours per day and identifies when staff is needed most.
Choose a scenario and compute time (fast 30 min · standard 3 h · thorough 6 h) and start the optimization. The AI engine runs in the background and can be stopped at any time.
Each ESS run produces a proposal with per-day supply/demand charts. Compare multiple runs, view shift count, active staff, and coverage ratio. Pick the best solution.
Apply the selected shifts to the schedule. The shifts now serve as input to FSR (route optimization), which assigns the right visits to the right staff at the right time.
What separates AI-driven staffing from traditional manual planning?
| Dimension | Manual planning | CAIRE ESS (automatic) |
|---|---|---|
| Time to create a schedule | Days to weeks | ✓ 30 min – 6 hours |
| Rule compliance | Person-dependent, error-prone | ✓ 100% automated |
| Demand-matching precision | Gut feel / historical averages | ✓ Exact demand matching |
| Continuity (unique per client) | Hard to measure | ✓ Built-in optimization goal |
| Scenario comparison | ✗ Not possible | ✓ Run multiple variants in parallel |
| Pipeline to route optimization | ✗ Manual handover | ✓ Direct ESS → FSR integration |
Open the scheduling tool and run your first ESS optimization today.
Open Scheduling