AeroFlow
Real-time passenger flow, queue and baggage intelligence
A live analytics engine precision-engineered for the hyper-growth Indian aviation market. It visualizes terminal movement, congestion heatmaps, and baggage belt dynamics, giving airports like IGI Delhi and Mumbai T2 the foresight to prevent bottlenecks.
The Problem
Indian airports struggle with extreme peaks and unpredictable bottlenecks at security and immigration, leading to significant "Time Anxiety" for passengers in highly congested terminals.
Human Impact
Optimizes operations at India’s busiest hubs and reduces passenger anxiety through radical transparency about wait times and baggage.
Who This Is For
Airport Operations, Business Travelers (Time-sensitive)
Capabilities
- Queue Prediction: Forecast security wait times to manage passenger expectations.
- Dynamic Gate Load Balancing: Direct passengers to less crowded entry points.
- BeltTimer: Predict exactly when bags will hit the carousel to reduce crowding.
- Movement Analytics: Granular tracking of passenger density using mmWave and IoT.
- Flow Modeling: Predictive algorithms to optimize throughput at every checkpoint.
Use Cases
Queue Prediction
Forecasting security wait times to manage expectations and reduce anxiety.
Dynamic Gate Load Balancing
Directing passengers to less crowded entry points in real time.
BeltTimer
Predicting exactly when bags will hit the carousel to reduce crowding.
Related Use Cases
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Ready to explore AeroFlow?
Talk to our team about how AeroFlow can address your specific challenges.