In our previous blog (Already connected the car – What’s Next?), we talked about the ongoing technology-driven transformation in the transportation industry and how Automotive OEMs need to step up. We also detailed how connectivity enables next-generation monetization, optimization & security use cases for Automotive OEMs and how Airlinq can be a partner in this journey.
In this article, we take a look at how connected car data coupled with technologies like AI and ML shape the way for innovative use cases and how these use cases affect Industries & businesses that envision reinventions in their business models.
Connected Car Data
Connected car, by definition, is any connectivity enabled vehicle that can communicate with Automotive OEM or Fleet owner cloud infrastructure. According to a report published by McKinsey, the revenue pool generated by car data monetization at a global scale might add up to $450 – $750 Billion by 2030.
Monetization of Connected car data is feasible by securely exposing data to an ecosystem of third-party service providers, thus creating a personalized user experience for the driver. This customized experience can vastly improve brand loyalty and advocacy. Use cases created by car data enable Automotive OEM to enhance safety & security features and cost reductions in the vehicle. From predictive maintenance to road & infrastructure planning to insurance and many more, connected car data is reshaping businesses where revenue & business models foresee a change towards a customer-centric outlook.
• Connected Car data monetization enablers include
• In-vehicle sensors, cameras, and onboard computers/TCUs
• Connectivity like 3G/4G/5G
• Software enablers like Big Data analytics, Cloud computing, HD maps & V2X Communication
• Security enablers that enable exposing of driver data with privacy, regulatory norms along with user consent
• Ecosystem enablers and third-party service providers like Digital Insurers, Smart Cities, Dealerships, retailers, and many more.
Industries that envisage business model transformation
Connected car data is being churned by the Insurance industry for quite some time now in providing (PAYD/UBI) Pay as you drive/Usage-based insurance. Underwriters more accurately can measure risk profiles, allowing them to offer personalized premiums based on driving behavior. Good drivers pay lower insurance premiums in comparison to rash drivers.
Insurance fraud and liability can also be detected accurately due to advance car sensors and data analysis systems. Car accidents are immediately made aware to insurers, along with video data of accident and extent of damage automating the claim & settlement process.
Electric vehicles since their launch have become the preferred choice for consumers akin to the automotive industry major transformational shift towards CASE (Connected, Autonomous, Shared, & Electric), lower running costs, and emission standards.
Energy companies leverage historical traffic data to place EV Charging stations optimally to distribute energy across the grid accurately. Real-time vehicle location data can assist in the navigation to the nearest charging station to enhance the driving experience. Utility companies are using connected car data to navigate long-distance trips for EV drivers to ensure that en-route optimal charging to make seamless journeys.
Smart cities aim at creating a sustainable environment and lifestyle. City agencies use connected car data to manage traffic congestion, reduce carbon footprint, road repair & infrastructure planning. Real-time traffic data helps manage red lights & intersections aptly, reducing blockages and traffic jams. Video data collected from cars helps them repair potholes and bumps on roads to ensure smooth traffic.
With the advent of 5G, Cars will communicate with other cars and infrastructure (V2X). Connected car data would be useful to place Roadside units enabling additional safety features to be embedded in the vehicle paving the way to an autonomous driving future.
Dealerships and Maintenance Agencies
Connected car data enables predictive maintenance of vehicles. Real-time data about vehicle health indicators like mileage, tire pressure, ambient temperature, oil levels, and RPM enables dealerships and maintenance agencies to detect mechanical problems. They can plan inventory and intimate the owner to maintenance visits. Roadside assistance can also be provided based on diagnostic codes captured from the vehicles.
Leveraging connected car data, dealerships, and maintenance agencies get an early insight into the vehicle conditions and driving habits to avoid vehicle-related issues and avoid breakdown. They can fine-tune maintenance packages based on this data to provide a personalized offering to their customers.
Imagine a scenario where on a highway when a driver needs to make a pit stop, he is alerted a few miles beforehand about potential discounts offered from a fuel pump and a coffee shop. Would he make that stop? Yes, he would! In the future, where autonomous pods start plying, retailers would display product catalogs and offer e-coupons. Customers would shortlist items to enable in-vehicle transactions whenever the driver is in store vicinity.
Leveraging real-time location, vehicle health and traffic data, Roadside assistance, and emergency services can be planned and dispatched instantly based on the severity of the situation, thus reducing the time of response and saving lives.
Parking is a huge hassle, especially in downtown and urban areas. People waste significant amounts of time searching for parking areas nearby their destination causing traffic jams.
Parking facility owners can use Connected Car data to update parking slot availability and let drivers know about vacant spaces near their destinations in real-time. They can automate the payment based on the time the slot is being used. They can also plan new parking spots in vacant lots based on historical traffic and mapping data.
Mapping and Planning
Connected car data in terms of aggregated and normalized traffic information helps map agencies develop and update HD maps. They can promptly place speed limits and road hazard signs in cases of repair work being undertaken. This assists in real-time navigation updates, route assists, and parking availability.
Autonomous vehicles would rely on HD maps for charting journeys to their destinations. High definition maps, location-specific ride requests which are continuously updated, will be helpful for AV ecosystems enabling optimal routing and scheduling.
Vehicle fleet owners like rental car agencies, logistics companies, and car-sharing companies can use connected car and fleet data to monitor their fleet’s health and usage patterns and save costs on maintenance. Real-time location data enables fleet owners to calculate Hours of Service (HoS) to ensure safe driving.
Fleet owners like Car sharing or rental providers use connected car data to optimally place their vehicles based on demand and rebalance & service them optimally. They can serve more requests based on historical demand data and optimize car sharing.
Automotive OEM Enabler : Airlinq
Airlinq plays a pivotal role in enabling Automotive OEMs and Fleet owners to capture the real value of connected car data. Airlinq mobility platform enables Automotive OEMs to offer infotainment, safety, and utility services inside the vehicle for new streams of digital revenues and enhancing the customer experience.
Automotive OEM can create a branded storefront hosting a personalized, tailored ecosystem of in-house or third-party applications and services.
They can securely expose connected car data with full control and visibility of service quality, billing, driver consent, privacy, payments, and regulation. Third-party service partners can offer usage-based, and personalized services to consumers, increasing brand loyalty, customer satisfaction, and driving significant revenues.
Automotive OEMs can also manage localization for global deployments with different currencies, time zones, and languages.
To know more, please visit: https://www.airlinq.com/automotive-industry/