Automotive industry connected to mobility app

Case Study

Your car in your pocket

Looking to modernize the automotive industry, telematic app is developed for India's first electric car


India’s first experience with connected mobility

UST Moonraft engaged with Mahindra e2o to design and develop a telematic mobile app for India's first electric car. This application gives complete control to the consumer to operate as well as check car parameters straight from his/her phone. It incorporates essential features that remove the usual pain point associated with electric vehicles. The app was designed to transcend the car experience to device of the user.


“ For the e2o (car) we developed a feature rich and sophisticated telematics platform, arguably one of the most advanced in the world today. " said Chetan Maini

-Chief executive of Mahindra Reva Electric Vehicles.

“The Mahindra e2o is not just a car, but the future of mobility. The telematics application developed by Moonraft is designed to help bring the smarter experience to the smartphone, and is in-line with our focus to bring next generation experiences to our customers." says R Chandramouli

-Former COO at Mahindra Reva


Overcoming anxiety and a lack of awareness associated with a new concept

Being the first electric car in India, there was a strong need to address the anxieties and lack of awareness associated with the concept. Concerns around issues like range, battery recharge ecosystem, and maintenance needed to be prioritized and addressed in the simplest manner possible.


A tailored approach to the future of mobility

Connected cars opened up multiple possibilities of translating actual physical features into digital ones through mobile devices. The interactive design for the telematic app was born out of thorough user research which identified hidden anxieties and incentives. Features such as ease of use through a one-hand operation, range check, and a reserve power boost to address range anxiety were revealed. The application made adoption easier by making sense of the massive amounts of data available and making sense of it in the user's context.



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