client success stories

Enabling effective monetization of connected car data

Development of in-vehicle edge components to support containerized app management

timer icon3 min read

$100-300

gross margin in Customer Acquisition Services per new customer

$10-15

in Driver Risk Intelligence per each data inquiry

$100-200

in Collision Analytics per incident

 

Challenge

Efficient data monetization presents both a significant opportunity and challenge for the automotive industry. MOTER Technologies identified edge processing as the key technology for accelerating data monetization while focusing on insurance use cases. MOTER wanted to build the key infrastructure needed to showcase their solution across a small fleet of vehicles. It was critical to develop a low impact embedded solution that could meet the strict requirements of automotive-grade software. This included an initial minimal viable product (MVP), scaling to a real-life fleet scenario and building an example to show target customers.

Solution

Zoreza Global was chosen to build this platform and firstly develop an MVP for 10 devices using the NXP hardware. The solution was scaled up to 500 vehicles. This new edge architecture has been submitted as an open-source standard to SOAFEE.

The solution uses containers to collect and process the data and to act as a local data broker. These containers are tied to the cloud and stored through an AWS IoT Greengrass component. To enable deployment as an aftermarket option, we leveraged a dongle option in the ODB2 port.

Result
  • Edge acceleration framework which supports the deployment and management of multiple in-vehicle apps — enables MOTER’s app to be deployed in a container
  • Enables the safe and secure deployment of third-party applications into the automotive ecosystem
  • Automakers and mobility companies may adopt this architecture directly in the vehicle software platform to enable additional data monetization use cases

 

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