Demo school · synthetic data
Running the forecast…
Book 30 minutes with us
We load your home airport and one schedule export. You see your own week, not a sample school.
Running the forecast…
We load your home airport and one schedule export. You see your own week, not a sample school.
KHOU · Sent each evening at 6 PM to every instructor
Tonight, each instructor sees tomorrow's bookings with the odds each one actually flies, counting weather, maintenance, and no-shows. Slots likely to fall through come with students who could fill them, so the day keeps its billable hours.
Hourly flight category and wind. Later hours are estimates.
Chance each lesson happens as booked.
| Time | Student | Aircraft | Will fly | Why |
|---|---|---|---|---|
| 8:00 AM 1.5h | Cameron Cook Commercial · CFL3 Chandelles | DEMO-5 | 87% | Clear: weather 2% (Forecast) |
| 12:00 PM 1.5h | Reese Johnson Private dual · FL4 Power-Off and Power-On Stalls | DEMO-5 | 85% | Often gusty crosswind and gusty winds around 1 PM this time of year |
| 4:00 PM 2h |
Preview of tonight's email to R. Castellan. Also available as a text message or on the dashboard.
Good evening R. Castellan,
Here is Wednesday, Oct 21 at KHOU. You have 3 lessons booked; about 2.6 are likely to fly.
Reply STANDBY to message the standby students, or open the dashboard for the 3-day outlook.
| DEMO-5 |
| 87% |
| Clear: weather 3% (Forecast) |
Model: P(fly) = (1 − weather) × (1 − maintenance) × (1 − no-show). No-show uses the school average (8%) until cancellation history is connected; then it is per student.