AI‑driven Airport & Airline turnaround intelligence
AeroFlow uses real‑time data and computer vision to optimise aircraft turnaround operations — reducing delays, congestion, and operational cost at airports.
What breaks today
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
What AeroFlow does
AeroFlow uses real-time data feeds and computer vision to monitor
aircraft turnaround operations, predict bottlenecks before they occur, and
automatically optimize
resource allocation — keeping aircraft moving and passengers on schedule.
Key capabilities
Computer Vision Monitoring
Real-time aircraft turnaround tracking using AI-
powered visual
recognition
Turnaround Optimization
Predictive models to minimize ground time and
prevent delays
Resource Coordination
Automated crew, gate, and ground equipment
scheduling
Performance Analytics
Real-time dashboards tracking OTP, congestion,
and efficiency metrics
Who it's for
Airports, airlines, ground handlers, aviation authorities
Every minute on the ground, optimised.
How iPurvey Works
Connect data sources & systems
Connect to AODB (Airport Database) and track all turnaround tasks in real-time
AI models monitor risk continuously
AI identifies which tasks are running late and calculates impact on departure time
Disruption is predicted before impact
Automated alerts sent to ground ops teams with recommended interventions
Automated actions, alerts, or workflows are triggered
Aircraft departs on schedule, avoiding cascade delays across the network
Explanatory Video
Designed to Plug Into Your Existing Stack
iPurvey integrates seamlessly with enterprise systems, operational platforms, and data
providers —
enhancing what you already use, not replacing it.
SAP S/4HANA & BTP
ERP
Microsoft Dynamics 365
ERP
Odoo
ERP
Airline Systems
Industry
Rail Platforms
Industry
Port Systems
Industry
Insurer Core Platforms
Industry
Claims Management
Industry
What's real vs roadmap
We're transparent about what's live, what depends on data, and what's planned.
- AODB integration (major airports)
- Real-time task tracking dashboard
- SMS/mobile alerts for ground teams
- Performance analytics & reporting
- Predictive delay models (require 3+ months of historical data)
- Some budget carriers provide limited real-time status updates
- Weather impact modeling (requires meteorological data feeds)
- AI-powered resource reallocation (Q3 2025)
- Cross-airport network optimization (Q4 2025)
- Passenger impact forecasting (2026)
Limitations & Dependencies
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.
What Changes
Fewer missed connections
From reduced delay costs
More flights, same resources
Book a Demo, Optimize Every Turnaround with
AeroFlow
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