In this blog post series we will explore how data and personalization can be used in the automotive context to (improve customer satisfaction), covering personalization (this post), predictive maintenance (part 2, coming soon), and our vision of what would be possible for personalization in the automotive sector.
Recommendations and personalization are used by companies from Amazon to Zalando, so to give a general idea of what it is, it's best to start with some examples.
You've overslept despite having an early morning meeting and had barely enough time to get ready as you step out into the freezing winter day toward your car, rushing to make it to your meeting. Sitting down, you notice that the interior of the car and your seat have been preheated. The navigation system already has the route to your meeting set, avoiding a congested road; you will make it in time. It's still dark outside, so the headlights are lit. Your favorite station on the radio is running. As you drive and it starts snowing, the windshield wipers turn on automatically. Everything is prepared. You can focus on driving. All these systems focus on the immediate driving experience, but personalization does not have to stop there.
These advancements are not far-off; in fact, some of them already exist: Tesla cars detect rain on the windshield wipers, and some manufacturers like Kia are going further to develop windows that repel water in the first place. Mercedes and Microsoft are working on "In Car Office", a service that integrates with, amongst other things, your calendar and could allow routing you to your next meeting.
Besides creating an enhanced and more comfortable driving experience, today and even moreso in the future, smart systems in cars will play a role in creating safer roads. Through a multitude of sensors, it can alert the driver when it registers dangerous situations on the outside, but could also look at the driver's seat to make sure you aren't too tired to drive.
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