Use Case

Accessibility & PRM

Predictive PRM demand forecasting and resource allocation for Indian airports

Industry Context

Passengers requiring mobility assistance (PRM) depend on timely, dignified support. Indian airports face strict SLA requirements, with Bengaluru achieving Level 3 Accessibility Accreditation in November 2025, advancing from Level 1 to Level 3 in less than a year. Yet wheelchair availability and staff coordination remain largely manual, leading to missed SLAs, passenger anxiety, and complaints.

Industry Data & Statistics

Bengaluru Airport achieved Level 3 Accessibility Accreditation in November 2025, advancing from Level 1 to Level 3 within less than a year

Source: ACI Asia-Pacific, 2025

Bengaluru Airport handled 43.82 million passengers in 2025 with comprehensive accessibility infrastructure and B-Included initiative

Source: Economic Times, 2025

More than 80% of travelers with disabilities have encountered obstacles when dealing with airlines and airports

Source: The Points Guy, 2025

PRM numbers are growing at 10-12% per year, double the rate of overall passenger growth

Source: Passenger Terminal Today, 2016

The Challenges

Manual wheelchair and staff coordination leads to missed SLAs at Indian airports
PRM passengers face uncertainty about when assistance will arrive
No predictive demand forecasting based on inbound flight manifests
Accessibility routing is absent from standard navigation tools at Indian airports

How AeroLytics Addresses This

AeroLytics provides predictive PRM demand forecasting based on inbound flight manifests at Indian airports, automated wheelchair and assistance resource allocation, and real-time pickup countdowns. This restores dignity and independence to PRM travelers while ensuring Indian airports exceed accessibility SLAs.