Simulate crew requirements across 7, 14, and 30-day windows. Instantly identify under-staffed sectors and roster gaps before they generate duty-time violations.
Our intelligence layer scans historical patterns, local health trends, and duty cycles to predict fatigue hotspots and sick leave spikes, allowing you to secure reserve standby coverage early.
No database migration. AeroFlux Crew syncs with AIMS and core crew databases in real-time, overlaying a clean predictive layer on top of your existing systems.
Proven Impact
−18% crew overtime spend
By predicting capacity issues up to 14 days in advance, airlines using AeroFlux Crew reduce their reliance on emergency reserve standbys, optimize duty distributions, and avoid costly contract-crew callouts.