Mission: Keep planes flying by predicting world-wide part levels in enough time to matter

Solution: Apply AI-SHIP to characterize supply & maintenance data to predict part levels and identify the cause of adverse trends early.

Our team developed an AI-SCI capability to predict the supply state of an organization's parts worldwide six (6) months in the future. It quickly analyzed pre-cursors to problems, understood why, and showed future trends with minimal effort.

For this project, we created a database of parts, suppliers, weapons systems and maintenance in a cloud environment that exceeded the target (2 months) and stretch goal (4 months) with a 6-month prediction capability. Demonstrated accurate (86% of the time) prediction 6-months out into the future.