Case Study

Airproxima

Aviation route optimization
Facts
-
3000+Aircraft Managed
-
5x – 10xOperational Savings Increase
-
97%ML Model Accuracy
The story
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.
ABOUT
Developed by leading AI engineers from Amazon, AirProxima is the first open private aviation marketplace for searching and booking private charter flights. The company initiated its aviation angle in liaison with Airbus.
Press
-
My Experience with Outsourced Software Engineers – Ed Crump
Ed Crump, CEO of AirProxima, sits down with us to discuss his experience with working with Symphony.
-
Where AI Meets Software Engineering with Ed Crump - Full Talk and Q&A
Ed Crump, CEO of AirProxima, sits down with us to discuss his experience with working with Symphony.