The U.S. Air Force deploys flying units with readiness spares packages (RSPs) to try to ensure that the units are stocked with enough parts to be self-sufficient for 30 days. This report presents an assessment of the use of statistical distributions for predicting aircraft parts failure and an evaluation of how artificial intelligence can be used to determine the content of RSPs.