Calculating ROI on AI projects is often critical to secure resources; however, these calculations can also be notoriously challenging due to the complexity of quantification, number of teams and people involved, and often long delay in outcome.Learn More
Today, more than half of the world’s population lives in cities, and more than a billion people annually take to the road or to the skies to travel for tourism (while some tens of millions do the same for work). Indeed, today’s world is one in constant motion, but it’s also one where trends are clearly shifting.
For example, McKinsey predicts that by 2030, private cars will be used less, and autonomous shuttles could account for a quarter of passenger-kilometers. This kind of rapid change in passenger trends and habits – not to mention shifts in environmental concerns – necessitates more than ever before that mobility companies use data and AI systems to better understand and help their customers (as well as, eventually, to predict the future of travel to make the best possible business decisions).
This is the story of Europcar Mobility Group, who has been able to do just that by transforming their approach to executing data-driven projects at the company.