AirProxima (in partnership with Airbus) approached us to help them minimize the empty return portions of booked one-way private charter flights using machine learning capabilities. We built scheduling algorithms to cut down aircraft downtime and consequently reduce costs by over 25% and a series of machine learning models to predict flight demand to further improve the scheduling process, creating 5-10x operational savings for a top-5 charter operator.