How can we optimise the user's trips in the city?
Santander is looking for startups capable of optimizing daily journeys, anticipating the needs of the citizen, as well as managing the payment of the products or services offered. All this delivered through solutions which use machine learning and artificial intelligence.
Users take advantage of their travel time to take care of daily tasks. Facilitating these trips, with innovative solutions that include a payment method, is the main goal of this challenge.
Let's take walk in the user's shoes: he has to take the bus or other means of transportation to get to work every day, using a Mobility as a Service app, but first he has to put rides on his bus/travel pass. It's the beginning of the month and the queue is long. On his way back home, he stops at the store to make his usual purchases and also finds a long queue to pay. The time he spends en-route before he gets to his final destination increases with these daily routines...can you imagine a solution that can anticipate theses routines while also making the corresponding payments to save extra time on the user's way? For example, he could arrive at the supermarket and directly pick up his purchase, which has already been paid for, without having to queue, or he could have his bus pass prepaid and refilled every month without having to find a place to do so or wait in line.
If your startup meets this requirement, step up and respond to Santander's challenge!
One of the most frequent daily trips users make is from home to work, and back again. This means an average of 45 minutes of time in Madrid, 35 minutes in Barcelona and up to more than an hour in other European capitals.
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