The Problem This Solution Solves
Each year, the United States military consumes over 2 billion gallons of aviation fuel to accomplish both operational and training flights across the globe. A significant portion of that amount is used for mobility airlift - moving cargo and personnel both inside and between theaters to where they are needed most. These missions are crucial to ensuring a continuous logistics flow for Combatant Commanders worldwide.
However, these missions are currently planned using a time-consuming, manual system that often leads to suboptimal routes. To resolve this problem, the services are undertaking different initiatives in an effort to improve route planning, optimize flight paths, and reduce the amount of fuel used for airlift missions. In order to track and compare the value of these initiatives effectively, the services will need an artificial intelligence-powered analytics platform that can process large quantities of varying data types.
The Solution
This solution uses trained artificial intelligence models to ingest historical and near-real time data from mobility aircraft at scale. By matching mission details to aircraft performance, the platform reveals insights that will shape enterprise-level decisions for future fuel usage.