Abstract: Techniques are disclosed for propagating a system level utilization goal to individual system elements. For example, a utilization goal such as a load factor goal for a group of airline flights in a given market segment and time period may be propagated to each flight in the group. When propagating a load factor goal to a group of airline flights, a goal value, historical load factors, and a capacity of each flight in the group may be used to determine a load factor target for each flight in the flight group. The propagated load factor targets are expected to be realizable by each flight in the flight group and, in the aggregate, satisfy the system level goal.

Abstract: Systems and methods for optimizing marketing strategies. Various embodiments implement methods which can include generating a plurality of candidate solutions which satisfy pricing rationality constraints. The candidate solutions can be generated when processing resources are available for performing a Monte Carlo algorithm. The candidate solutions can be stored and a master and trade off metric can be selected. Values for these selected metrics can be evaluated (at the candidate solutions) and then input into the approximate efficient frontier algorithm. The algorithm can output an approximate efficient frontier. Users can select any of the efficient solutions on the frontier to obtain associated pricing recommendations by mousing over the efficient frontier. Various metrics associated with the efficient frontier may be updated at about the same time as the master and trade off metrics are selected.