Use Case

Airport Operations

Predict terminal congestion and optimize resource allocation at Indian airports

Industry Context

Indian airlines carried 166.95 million domestic passengers in 2025, with Bengaluru, Delhi, Mumbai, and Hyderabad serving as major hubs. Yet terminal operations rely on reactive management. Congestion at security, immigration, and boarding gates creates cascading delays that degrade the passenger experience and increase operational costs.

Industry Data & Statistics

Indian airlines carried 166.95 million domestic passengers in calendar year 2025, reflecting continued growth despite operational challenges

Source: DGCA, 2025

Bengaluru Airport handled 43.82 million passengers in 2025, an 8% increase year-over-year, with highest single-day traffic of 137,317 passengers

Source: ACI Asia-Pacific, 2025

Bengaluru and Chennai airports posted the highest on-time performance at 93% and 92.5% respectively in August 2025

Source: Economic Times, 2025

Airport passenger traffic in India is expected to reach 430-440 million in FY26, up 5-7% year-on-year

Source: ICRA, 2025

The Challenges

Unpredictable bottlenecks at security and immigration at Indian metro airports
Lack of real-time visibility into terminal-wide passenger flow
Reactive resource allocation that cannot prevent congestion before it forms
Siloed data systems that prevent a unified operational picture

How AeroLytics Addresses This

AeroLytics predicts terminal congestion 2–4 hours ahead using sensor fusion and flow modeling tailored for Indian airports. Gate-level passenger stress forecasts and automated resource allocation recommendations prevent bottlenecks before they form, giving operations teams at Delhi, Mumbai, and other major airports a proactive command layer.