Labor · demand · attendance · overtime
Shift Optimizer
A casino GM demo tool that converts historical drop, salary days, public holidays, weather, traffic, competitor pressure, promotions, hourly customer flow and staff attendance into a practical shift staffing recommendation.
Recommended actionSample forecast loaded.
--Demand
--Attendance risk
--Labor variance
Management review only. This demo supports planning conversations. Final staffing, cost, control and guest-service decisions remain with authorized casino management.
Sample scenarioSalary Friday before public holiday
Baseline drop$158,000
Peak customer flow760 guests · 22:00–02:00
Operating pressureHot seat · lottery · music show · road closure
Demand factor breakdown
Traceable score by driver.
Expected customer attendance by time
Used to shape the department staffing curve.
Interactive demo
Forecast Builder
Built-in sample data is already loaded. You can also upload the included sample CSV/JSON files and click “Load uploaded files”.
Guided workflow
Plan the shift in four clear steps
Use approved inputs, review the calculated pressure, compare scenarios, then issue a manager brief. The tool supports a decision; it does not schedule employees automatically.
Set demand drivers
Enter the date, expected drop, guest volumes, events, VIP activity, weather, traffic, and economic pressure.
Check coverage risk
Review demand, attendance, overtime, and department-by-time staffing recommendations against the current plan.
Compare scenarios
Use lean, balanced, and control-buffer scenarios to understand cost, service, control, and resilience trade-offs.
Approve and hand over
Generate the brief, verify assumptions with department heads, assign changes, and save the local scenario for follow-up.
Sample data loaded and forecast generated automatically.
1. Calendar and cash-flow drivers
2. Promotions and competitor pressure
3. Upload optional sample files
The forecast does not depend on uploads. It already has built-in sample data. Use these only to prove that file loading works in the demo.
4. Expected customer attendance by hour block
5. Weather, traffic and city disruption
6. Economy, mood and attendance risk
Department plan
Current vs Recommended Staffing
The table is generated from sample data automatically. Uploads or form changes can recalculate it.
Cost and control comparison
Scenario Compare
Compare lean, balanced and control-buffer plans before approving a roster change.
Ready for GM review
Manager Brief
Copy, download or print a plain-English explanation of the recommendation.
Loading sample forecast...