IRCTC plans to triple ticketing capacity to over 1 lakh bookings a minute
IRCTC plans to upgrade its NGET ticketing platform from 37,000 to more than 1 lakh tickets processed per minute. The rail booking platform has also launched a simplified beta website and is considering an active-active disaster recovery facility in Secunderabad.
What happened
IRCTC plans to upgrade its NGET ticketing platform, raising processing capacity from 37,000 to more than 1 lakh tickets per minute. It is also considering an
Key facts
- 37,000 tickets per minute
- Over 1 lakh tickets per minute
- Rs 150 crore
Why this matters
IRCTC’s NGET upgrade creates potential partnership opportunities for travel, payments, and ancillary-service players seeking access to a higher-throughput rail-booking ecosystem.
What to watch
- Measured tickets processed per minute and successful payment-to-ticket issuance rates during Tatkal and festival periods.
- Changes in booking abandonment, queue duration, app/web crash rates, and customer complaints.
- Bot-blocking actions, CAPTCHA or identity-policy changes, and enforcement against unauthorized booking agents.
- Launch timing, adoption, and conversion metrics for the simplified beta website.
- Confirmation of the Secunderabad active-active facility, successful failover tests, and any migration-related outages.
- Growth in IRCTC ancillary revenue per booking and new partnerships in food, hotels, insurance, and ground transport.
- Deploy virtual waiting rooms, dynamic throttling, and bot-risk scoring alongside the throughput upgrade.
- Use the simplified beta site to shorten search-to-payment flows and test personalized ancillary bundles for food, insurance, hotels, and first/last-mile transport.
- Prioritize payment failover, real-time booking-status messaging, and one-click rebooking/refund workflows to convert reliability gains into customer trust.
- Create peak-period merchant partnerships around station pickup, destination services, and rail-linked travel packages.
- Phase active-active disaster recovery with load tests during non-peak windows and publish reliability metrics to demonstrate improvement.