Machine Learning Based Occupancy Forecasting

A computer readable medium having instructions stored thereon that, when executed by one or more processors, cause the processors to determine a final occupancy prediction for a check-in date for a plurality of hotel rooms, the determine the final occupancy prediction comprising:

• receiving historical reservation data comprising a plurality of booking curves for the hotel rooms corresponding to a plurality of reservation windows, the historical reservation data comprising a plurality of features;
• based on the historical reservation data, generating a first occupancy prediction for the check-in date using a first model and generating a second occupancy prediction for the check-in date using a second model;
• determining a best performing model from at least the first model and the second model;
• and
• using a corresponding occupancy prediction corresponding to the best performing model as the final occupancy prediction for the check-in date.

A cloud based hotel reservation system that determines a final occupancy prediction for a check-in date for a plurality of hotel rooms, the system comprising:

• a first model;
• a second model;
• one or more processors adapted to:
• receive historical reservation data comprising a plurality of booking curves for the hotel rooms corresponding to a plurality of reservation windows, the historical reservation data comprising a plurality of features;
• based on the historical reservation data, generate a first occupancy prediction for the check-in date using the first model and generating a second occupancy prediction for the check-in date using the second model;
• determine a best performing model from at least the first model and the second model;
• and
• use a corresponding occupancy prediction corresponding to the best performing model as the final occupancy prediction for the check-in date.