Predictive Turnaround Optimization
Keep aircraft departing on schedule with real-time visibility and predictive alerts.
Keep aircraft departing on schedule with real-time visibility and predictive alerts.
One slow task — fueling, baggage, or catering — cascades into network-wide delays
Operations teams react to delays instead of preventing them
Millions lost annually from turnaround bottlenecks and missed connections
Connect to AODB (Airport Database) and track all turnaround tasks in real-time
AI identifies which tasks are running late and calculates impact on departure time
Automated alerts sent to ground ops teams with recommended interventions
Aircraft departs on schedule, avoiding cascade delays across the network
We're transparent about what's live, what depends on data, and what's planned.
AeroFlow predictions depend on Airport Operational Database (AODB) access and ground handler system integration. Not all airports provide real-time AODB feeds, which limits prediction accuracy.
Predictive models improve with historical data. New implementations require 3+ months of operation to achieve optimal accuracy for delay forecasting.
Fewer missed connections
From reduced delay costs
More flights, same resources
With AeroFlow, we reduced our average turnaround time from 45 to 35 minutes. That means more flights, better on-time performance, and happier passengers.
Join airlines and airports transforming ground operations with AI-powered precision
For Airlines, Airports, and Ground Handlers • API integration • Pilot program available
Book an AeroFlow Demo