Predict crew capacity.
Stop roster chaos weeks ahead.

Connect your data

AeroFlux Crew syncs with AIMS, Sabre, Jeppesen, and in-house crew databases in real-time. No database migration required: we overlay a predictive intelligence layer on top of your existing systems.

Model capacity forward

Our AI engine simulates crew requirements across 7, 14, and 30-day windows. It accounts for training calendars, leave balances, fatigue limits, and demand fluctuations to identify roster gaps before they materialize.

Act on prioritized alerts

Planners receive role-specific alerts ranked by severity and lead time. Each alert comes with recommended actions (standby deployment, training rescheduling, or reserve recruitment) and estimated cost impact.

Capacity forecasting

Multi-horizon view, always up to date

Unlike static spreadsheet-based planning, AeroFlux Crew updates crew availability models in real-time as new data arrives: sick leave reports, training completions, and flight schedule revisions all feed directly into the forecast engine.

• 7, 14, and 30-day capacity windows
• Qualification & licence expiry tracking
• Reserve coverage optimization
• Duty-time limit compliance checks

Predictive sick-leave & fatigue scoring

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.

Training & qualification pipeline

Track simulator slots, type rating expirations, and CRM recurrency across your entire crew base. AeroFlux Crew flags approaching bottlenecks before they pull crew off line operations.

Seamless AIMS & crew system integration

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 without disrupting current workflows.

Proven impact

crew overtime spend across all routes and stations