The crucial role of Real-time Analytics in Sharing Mobility

How streaming data and real-time analytics can reduce operational costs

Vehicles sharing operators have gained some powerful momentum in the past three years, and they contribute to sharing mobility growth, reaching a market value of over 100 billion USD. However, they’re entering a critical new phase of development, where the goal is the delivery of real improvements against key metrics and priority outcomes. This development demands data to be embedded in service design to improve decision-making, support real-time operational control, increase service quality and efficiency, and improve engagement with customers, businesses, and other stakeholders.

Here’s a case in point

It is certainly not new that a vehicles-sharing service is expensive and not very sustainable. The proof is that an ongoing discussion within the vehicles-sharing community about the opportunity and convenience of vehicles redistribution is still open and unsolved. Vehicles-sharing system becomes unbalanced during the day, with vehicles stuck in a cold spot while they would be needed in hot spots. A possible solution would be to move unused vehicles from cold spots to hot spots, but efforts and costs of relocation can be significant –especially for car-sharing– and it is crucial to perform it in an efficiently, to address this imbalance between supply and demand and offer customers a valuable service.

We provide Event Stream Processing products designed to manage the entire data lifecycle over streaming oriented platforms, with Machine Learning integration.