With climate change, clean transportation options are becoming a focus all over the world.

The only downside of shared mobility is that it can be difficult for a consumer to rely on a vehicle at a specific place and time.

Using state of the art predictive modelling, we used app-usage data (mobile), generic business rules and intended target analysis to predict user demand across the city.

Using these forecasts, we select the most suitable spots to place kick-scooters to maximize the chances of use, overall profitability and increase uptake in emission-free transport.