Mobility intelligence provides a wide range of tools that can be used to reduce congestion, plan the deployment of EV charging stations, support MaaS, enhance road safety, and much more. These tools are based on anonymized and aggregated data, which is compiled from multiple sources – including mobile devices, multimodal mobility suppliers, municipalities and charging networks – as well as with the unique and rich data gleaned from multi-layered connected vehicles.
It goes beyond the raw vehicle data that must be treated and enriched before it becomes usable. Even further, aggregated data is used by many across the mobility economy to plan and understand our transportation environment. Mobility intelligence uses machine learning and data science to create a digital twin with unique indicators that allow predictive real-world modelling. It is a tool for assessing different facets of mobility and analyzing different real-world personas, and it provides context that can be transformed into actionable insights.
These data-centric insights can provide OEM and car manufacturers with the means through which to improve the driver’s experience and safety on the road, as well as in and around the vehicle. In a global environment where OEMs are facing a variety of new challenges with supply chain and production, mobility intelligence can offer them new avenues for profit, and new ways to engage their customers, increase their customer base, and monetize on their connected car data.
Mobility Intelligence allows OEMs to provide better service
Mobility intelligence allows OEMs to better understand the needs of potential clients, thanks to the information on aspects such as points of interest (POIs), personas and timeline analyses. This is especially true for OEMs today, as many of them are building an ecosystem around EVs that include partnerships with preferred charge point operators. Awareness of charge levels is good, but without both a geo-spatial context and a behavioral one, finding the optimal recommendations for nearby EV charging stations is simply impossible.
Understanding drivers’ behavior can also translate into better predictive maintenance based on driving style, prioritizing certain maintenance procedures over others, or better service for the inner-car entertainment system, by offering persona-based content, coupons, or benefits.
Mobility intelligence helps build a better understanding
Mobility patterns, durations of stay, and insights into traffic statistics – such as who is visiting a particular destination and why – all contribute to an OEM’s ability to better understand their customers (even after a car goes into the 2nd-hand market). Combining this knowledge with the ability to understand the same traits across the entire mobility economy provides the OEMs with a new set of tools for understanding their client base.
These insights into the customer base can be utilized to expand brand affinity reach, and as a guiding light towards new product development. The assignment of personas with differing preferences and goals can help OEMs further define their target audience and serve their needs. As vehicles are becoming increasingly more geared towards service platforms, these insights can be converted into direct revenue from premium services, infotainment offers, or even partnerships with third parties.
Better Efficiency through Mobility intelligence
Utilizing mobility intelligence insights to guide their decisions, OEMs can better allocate resources to the many service stations and outlets they support. Optimizing for mobility, spending power, or brand affinity, OEMs can focus their investments and plan for better bang for their bucks.
Mobility intelligence is transforming the planning and operations of transportation across the board, and OEMs can leverage it to gain valuable insights that can be used in multiple ways – providing better service, cutting costs, improving efficiency, and even getting a competitive edge.