Seat and IBM develop Mobility Advisor

By Simon Warburton | 27 February 2019

Seat is using IBM Watson AI for its Mobility Advisor to help urban citizens make informed decisions about their daily transportation options, from cars to scooters, to bikes and public transport.

"Traffic congestion and environmental challenges are putting huge pressure on cities to transform," said Seat head of New Urban Mobility Concepts,"  Jordi Caus.

"At Seat we are working with cities and technology companies to come up with solutions to make mobility easier and more efficient. With its cloud and AI technologies, IBM is helping us to innovate new approaches to mobility that will transform our business strategy while improving the lives of people living in urban areas."

Currently under development and designed to run as a mobile app on 4G/5G networks, Mobility Advisor uses IBM Watson Assistant to provide users with a conversational interface to plan and optimise routes and suggest the most suitable transportation options.

With IBM Watson Machine Learning, Mobility Advisor can learn a user's preferences and make personalised recommendations for how best to complete a journey. Connected to the IBM Cloud, it adapts to changing conditions by taking into account weather forecasts, traffic reports and events happening in the city that day.

It incorporates the user's appointments and historical data about previous choices in order to suggest the best modes of transportation each time; even if that means leaving the car behind, walking, or using one of Seat's e-KickScooters for the part of the journey.

Seat's R&D Mobility team will continue working with IBM technicians on the evolution of Mobility Advisor proof of concept and its different potential applications.

Together with Xmoba, SEAT's independent company testing new solutions which contribute to better mobility, Seat will analyse the future integration of Mobility Advisor with Justmoove, the collaborative mobility solutions platform the company already offers to its customers.

On IBM's side, the project is being implemented by Viewnext, an IBM subsidiary in Spain.