Ixigo brings its vast data base into play to predict chance for waitlisted rail passsengers
07th July 2015
Customer-friendly Big Data application for train travellers!
New Delhi, July 8 2015: Leading mobile travel player Ixigo has brought predictive analytics into play to help train travellers decide if their place on the waiting list has a good chance.
With over 1.5 million monthly active users, “ixigo trains & hotels”, will now get PNR confirmation predictions in addition to information, search & planning tools for train travellers.
For any given train’s wait-listed status, ixigo is now able to show the near accurate probability with which the ticket will confirm, so that travellers may decide whether or not to book a waitlisted ticket. PNR prediction feature also shows the probability of getting your ticket confirmed if already booked and solves a huge pain area for millions of daily train travellers. ixigo’s trains & hotels app gives more accurate PNR prediction than all existing PNR prediction services since ixigo has mined data from over 10 million PNRs over the last two years.
Says Rajnish Kumar, co-founder & CTO: “ixigo has always believed in simplifying the lives of travelers and one of the pain areas we wished to solve was to make it easier for train travelers to decide whether they should book a waitlisted seat / berth on a train or not. Over 50,000 PNR status checks and nearly 200,000 train information requests are done on our app every day. This was an interesting big data project and we are happy with the outcome. Our machine learning algorithms will keep improving the accuracy of the system with every new train PNR tracked inside our apps. We expect to go from the current 90% accuracy to 95% accuracy pretty quickly.”