Travel & transportation
Hotel occupancy forecasting
Forecast occupancy, arrivals, cancellations, and room revenue by property and segment.
Sound familiar?
- Rooms selling out at yesterday's rate on high-demand nights
- Pickup behind plan discovered too late to act on
- Group cancellations leaving holes no campaign can fill in time
Occupied rooms
occupancy · Live forecast
Driver
Booking pace
Driver
Room rate
Driver
Cancellations
Forecast horizon
1–365 days
Refresh cadence
Daily
Built for
Revenue management · Property operations
What you can predict
One forecast can answer several operational questions.
Connect bookings, pace, rates, channel mix, cancellations, events, flight demand, and competitor signals to maintain a current property forecast.
Occupancy by day
Arrivals and departures
Room revenue
Cancellation-adjusted demand
Questions teams need answered
- Which nights will sell out?
- Where is pickup behind plan?
- How much demand remains in the market?
- What rate change is consistent with the outlook?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Average rate increases
Compare occupancy and room-revenue forecasts
A city event is cancelled
Quantify affected nights and segments
Occupied rooms
occupancy · Scenario comparison
What if
Average rate increases?
Driver
Booking pace
Driver
Room rate
Driver
Cancellations
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh occupied rooms on a daily cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Occupancy forecast crosses a sellout threshold
- Pickup falls behind the expected curve
03 · DECIDE
Put the result to work
Build a hotel occupancy forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.