Through this collaboration, all of Parkopedia’s services are available today through the CloudCar platform.
SANTA CLARA, Calif. (PRWEB) January 30, 2020
CloudCar Inc., a Silicon Valley company and leading provider of infotainment services for the automotive industry, and Parkopedia, the world's leading parking services provider, today announced a cloud-based integration to enable complete, predictive parking services through the CloudCar infotainment platform. With this partnership, CloudCar is also now authorized to provide Parkopedia’s parking services globally within their platform to OEMs as a fully integrated infotainment solution from a single supplier.
Parkopedia’s full portfolio of services, covering off-street garage and on-street static and dynamic data, as well as transactions, ensures that drivers are able to find parking locations across 15,000 cities and 89 countries, see predicted parking availability, make reservations and pay for parking. Through this collaboration, all of Parkopedia’s services are available today through the CloudCar platform.
"This agreement is yet one more demonstration of how Parkopedia is enabling seamlessly integrated parking experiences,” said Derek Rohloff, VP Automotive at Parkopedia. “Backed by our relationships with parking operators and transaction providers, the integration with CloudCar means we are bringing real benefits to drivers, enabling them to reserve off-street parking and pay for both, on-street and off-street parking directly from inside the vehicle."
CloudCar further enriches the user parking experience through justDrive™ X, the future of the automotive personal assistant recently announced at the Consumer Electronic Show, that simplifies infotainment communication using natural voice interaction. With justDrive™ X, the car determines the driver’s destination either after making a restaurant or event reservation, using a personalized profile, from an entry on the driver’s calendar, or from an active navigation. justDrive X will then suggest optimal on or off-street parking options derived through the API integration with Parkopedia. For off-street parking, the driver can reserve and then pay for parking, all without taking their hands off the wheel.
Mark Bowlby, the Director of Partnerships at CloudCar gave this perspective: “Parking is a crucial and challenging part of every trip in a car. Often drivers don’t think about where they will park until after starting to drive toward their destination. Through our collaboration with Parkopedia, drivers can enjoy the drive and the destination and let their car worry about finding them a place to park.”
To learn more about this intelligent parking experience delivered by CloudCar and Parkopedia, please contact email@example.com.
CloudCar is developing the future of connected car technology for automotive OEMs. Their platform enables a global ecosystem of infotainment cloud-based services and delivers a contextualized, personalized and voice-first experience in the vehicle. Founded in 2011, CloudCar is a privately-held company head-quartered in Santa Clara, California, with offices in France, Germany and China. The company was ranked as one of the 20 most promising Automotive Technology Solution Providers and named Global IoT Cloud Company of the Year in 2019. For more information, visit http://www.cloudcar.com.
Parkopedia is the world's leading parking services provider used by millions of drivers and organizations such as Audi, Apple, BMW, Coyote, Ford, Garmin, GM, Jaguar, Land Rover, Mercedes-Benz AG, Peugeot, Sygic, TomTom, Toyota, Volkswagen, Volvo and many others.
Parkopedia is available in 15,000 cities across 89 countries globally, covering over 70 million parking spaces, helping drivers take the pain out of parking. Parkopedia helps drivers find the closest, cheapest or available parking to their destination, pay in selected locations, and navigate directly to the parking space.
Parkopedia is also a founding member of the Autonomous Valet Parking consortium, developing highly detailed parking maps and corresponding algorithms to help self-driving vehicles navigate to an open parking space and park autonomously.