Context:
The primary brief for this project was to work in a group with various professions to drive small digital innovation projects in the digital space. My role in this group with business majors Aslihan Özkoc, Elion Beqiri and engineering majors Andreas Reschke and Manuel Schmidbauer was the designer of an app. The outcome from this project had to utilise artificial intelligence (AI) to solve a major global issue.
DESIGN:
We saw an opportunity to prototype a car-pooling/ride-sharing app because of the amount of people who make their way to and from work in a car by themselves which contributes to heavy traffic congestion. “Zus” is derived from the German word, ‘zusammen’ which translates to ‘together’ and it aims to encourage car-pooling among individuals who live and work within the same vicinity. By utilizing AI, passengers are matched with a host driver who’s route conveniently picks up passengers heading the same direction without having to execute detours - a key factor which discourages people to ride share independently as individuals.
I would like to thank Prof. Daniel Ittstein for his mentorship and guidance in this project during my time at the Munich University of Applied Sciences.
PARTNERSHIPS:
Mock-ups for potential partnerships with other transport apps that provides ZUS with exposure. In the Google Maps app, ZUS appears in the suggestions for transport options as well as in the Munich Journey Planning App. For the FLixbus app, ZUS also prompts people to consider taking a ZUS to their departing destination from their homes as they browse travel plans.
ZUS transport suggestion in Google Maps
ZUS recommendation in the Munich Journey Planning App
