Tonight's forecast
Model confidence 84%
Saturday evening · Demo property
Beverage service control room
Management attention
What needs a decision now
Live floor status
Coverage by zone
Decision support
Shift briefing is ready
Demand model
Forecast service demand in 30-minute intervals.
Adjust expected players, events, VIP pressure, order rate, and target service time. The staffing recommendation updates immediately.
Explainable modelPlayers × expected orders per player × service-cycle minutes ÷ productive capacity.
Recommended plan
Manager review requiredCoverage by half hour
| Time | Players | Orders | Needed | Scheduled | Position |
|---|
Floor coverage map
See where requests, staff, and wait-time risk are concentrated.
Select a zone to review demand and reassign one available waitress. Suggestions remain pending until a supervisor confirms them.
ControlledWatchAct now
Live request queue
Track request age, assignment, acceptance, and delivery.
This demo uses anonymous table and slot-zone references. No player identity is required.
Waiting0
Accepted0
Delivered0
Scenario comparison
Balance service speed, productivity, and labor cost.
Compare staffing levels for the selected peak hour. The recommended option is based on the configured service target and productive utilization.
Decision notes
Management trade-off
Break and relief planner
Protect busy zones while breaks are taken.
The planner places breaks in lower-demand windows and flags any period that would fall below minimum coverage.
| Waitress | Primary zone | Break | Relief | Coverage after break | Status |
|---|
AI-supported management brief
Turn the current forecast and queue into a reviewable shift briefing.
The public demo generates local rule-based suggestions from visible data. A production deployment could connect to an approved AI service only after privacy, security, and management controls are defined.
Prepared from current demo data
Supervisor briefing
Ask the local demo assistant
Try: “Where should I move one waitress?”, “What is the main labor risk?”, or “When should I schedule breaks?”
The answer will cite the visible forecast, queue, and zone data.
AI boundaryNo automatic scheduling, discipline, customer profiling, or labor decision is performed.