Indian Railways is upgrading its ticket booking process to make it faster and more reliable. A new AI and Cloud-based system will replace the old Passenger Reservation System that has been working since 1986. Railway Minister Ashwini Vaishnaw has directed officials to complete this transition by the first week of August 2026 to avoid any passenger inconvenience.
How will the new system improve Tatkal bookings?
The new system is designed to handle massive traffic without crashing. It will support up to 2 crore active users at once, compared to the previous limit of 10 lakh. The payment success rate during the first two minutes of Tatkal booking is expected to jump from 30-40% to 99.9%. Additionally, AI-powered bot mitigation has already removed 2.5 crore fake IDs from IRCTC to help genuine passengers get tickets.
What are the key features of the AI upgrade?
The most significant change is the AI-based confirmation prediction, which now has 94% accuracy compared to the old 53%. This feature will be available on the RailOne app before the August festive season. The system will also allow faster processing of tickets per minute.
| Feature | Old System | New AI System |
|---|---|---|
| Tickets per minute | 25,000 | 1.25 Lakh (Target 5 Lakh+) |
| Concurrent Users | 10 Lakh+ | 2 Crore |
| Confirmation Accuracy | 53% | 94% |
| Payment Success Rate | 30-40% | 99.9% |
What is the RailOne app and other new rules?
Launched in July 2025, the RailOne app is a super app with over 3.5 crore downloads. It integrates booking, refunds, live status, and coach positions in one place. To stop misuse, Aadhaar verification is now mandatory for online Tatkal bookings. There is also a possibility that passengers will be allowed to change travel dates without canceling confirmed tickets.
Frequently Asked Questions (FAQs)
When will the new AI booking system be launched?
The new AI and Cloud-based system is scheduled to roll out in a phased manner starting August 2026.
How accurate is the AI in predicting waitlist confirmation?
The AI-based waitlist confirmation prediction accuracy has improved significantly from 53% to 94%.