Machine Learning Based Overbooking Modeling

A computer readable medium having instructions stored thereon that, when executed by one or more processors, cause the processors to optimize hotel room reservations for a hotel, the optimizing comprising:

• for a first day of a plurality of future days, automatically determining, based on an objective function, an overbooking limit for each category of hotel rooms for the hotel, wherein the hotel includes a plurality of different room categories;
• receiving a first reservation request for the first day for a first category room;
• when the determined overbooking limit for the first category room has not been reached, accepting the first reservation request;
• when the accepted first reservation request is being checked in to the hotel on the first day, automatically determining a check in decision, based on the objective function, to reject the first reservation request, accept the first reservation request, or upgrade the first reservation request to a higher category room.

A cloud based hotel reservation system that optimizes hotel room reservations for a hotel, the system comprising:

• one or more processors adapted to:
• for a first day of a plurality of future days, automatically determine, based on an objective function, an overbooking limit for each category of hotel rooms for the hotel, wherein the hotel includes a plurality of different room categories;
• receive a first reservation request for the first day for a first category room;
• when the determined overbooking limit for the first category room has not been reached, accept the first reservation request;
• when the accepted first reservation request is being checked in to the hotel on the first day, automatically determine a check in decision, based on the objective function, to reject the first reservation request, accept the first reservation request, or upgrade the first reservation request to a higher category room.