Industry · 08

Hotel

Demand forecasting, cancellation risk and overbooking policy for hotels and hospitality operators — measured in expected net revenue, not occupancy alone.

Hotel analyticsHotel cancellation and overbooking policy

Hotels make revenue decisions under uncertainty: how many rooms to sell beyond capacity, which rates to open, which bookings to guarantee and how to staff for demand that may not arrive. Cancellations, no-shows and channel mix make the booking curve difficult to read.

We use booking and property data to forecast demand, estimate cancellation risk, set overbooking limits and test deposit policies — measured in expected net revenue rather than occupancy alone, with the cost of walking a guest made explicit.

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