Abstract: A method and system for optimizing dynamic prices of reserved date-constrained services such as airline flight reservations or hotel stay reservations. Comparative trials of complex pricing policies are employed according to an application schedule that has a periodic character with respect to the arrival date of quoting circumstances. On the basis of the comparative trials, some policies are identified as contributing less revenue on average to the system than other policies. The underperforming policies are then eliminated from the application schedule, which increases the expected future revenue of the resulting system.

Abstract: A method and system for optimizing dynamic prices of reserved date-constrained services such as airline flight reservations or hotel stay reservations. Comparative trials of complex pricing policies are employed according to an application schedule that has a periodic character with respect to the arrival date of quoting circumstances. On the basis of the comparative trials, some policies are identified as contributing less revenue on average to the system than other policies. The underperforming policies are then eliminated from the application schedule, which increases the expected future revenue of the resulting system.

Abstract: Graphic displays are generated for illustrating or explaining a calculation of the marginal value of a perishable resource, such as a capacity of seats on a particular date or a capacity of hotel rooms on a particular stay date. A typical pattern of consumption of the resource is determined by averaging historical consumption patterns, such as booking patterns. Various algorithms are then employed to transform the typical pattern into a planned pattern of consumption. The typical pattern and the planned pattern are then displayed in a comparative manner to illustrate the calculation of marginal value.