Trainline uses predictive analytics to help rail passengers save money | Computer Weekly

Trainline has revealed details of how it is using predictive analytics to help rail passengers save money when buying tickets on its app through the roll-out of its Price Prediction tool.

This service uses big data to judge how the price of an advance ticket will increase in the days leading up to the passenger’s departure date, based on information gleaned from billions of passenger journeys.

According to Trainline, rail passengers can save an average of 49% on prices if they pay when they first search for the journey.

For example, an advanced single ticket for a trip from London Euston to Manchester Piccadilly costs £32 around 80 days before departure but rises to £87 two days before.

Jon Moore, chief product officer at Trainline, told Computer Weekly that Price Prediction is an example of the “consumer tech-orientated product innovation” needed to improve the overall travel experience for rail users.

Read complete article here:

Trainline uses predictive analytics to help rail passengers save money.