How AI will drive profitability in Micro-mobility
Driven by a passion for AI and micro-mobility solutions, we wanted to write an article related to AI adoption within the micro-mobility industry whose influence keeps rising in our cities. Thanks to our experience at ofo, Mobike and within several AI departments (Global brands and Consulting firms), we wrote this article.
AI solutions need to address specific challenges. Through our experience, we have seen that this market is quite unique because of its nature (explosion of data available, the number of competitors, etc.). The main risk is for micro-mobility players to end up using generic solutions that don’t really help them to create a unique competitive advantage.
Fleet management
One of the key aspects of running a micro-mobility service is fleet management.
Indeed, your business model is based on your ability to control your fleet and maintain low running costs. In the last years, AI experts have been busy trying to develop an advanced business dashboard.
Indeed, it becomes more and more complicated to manage a fleet based on the complexity of the urban environment and flows of travelers combined with the number of competitors. As a consequence, bike sharing operators want to gain insights from data and make not only faster decisions but…
