DYNAMIC TRAVEL EXPENSE OPTIMIZATION

摘要

Embodiments of the present invention provide systems and methods for optimizing travel expenses. The method includes mining data types for a set of planned travel parameters and transposing the mined data types into a set of variables. The method includes performing a constraint-based optimization and a genetic algorithm on the set of variables and generating a list of travel options.

主权项

1. A travel expense optimization method, the method comprising:
for a set of planned travel parameters, mining, by an analytics engine, a plurality of data types; transposing, by the analytics engine, the plurality of data types into a set of variables; performing, by the analytics engine, a constraint-based optimization, wherein the constraint-based optimization comprises more than one constraint; performing, by one or more processors, a genetic algorithm, wherein the genetic algorithm is based, at least in part, on a plurality of data from one or more media feeds; and generating, by the analytics engine, a list of travel options, wherein the list of travel options is based, at least in part, on results associated with the constraint-based optimization and results associated with the genetic algorithm.