An app that caters to users across several states unquestionably requires loads of user data to be processed on a daily basis. With the existing infrastructure, it was tough for RideYellow to manage all the incoming data and cater to all incoming user requests.
What’s more, as the incoming data gets uncontrollably immense, the service that could be delivered becomes that much slower. That’s when we were approached to bring in a well-needed technology upgrade for the RideYellow platform.
Their current state of affairs was rooted in three fundamental flaws in the system
- Redesign the app to make RideYellow a scalable platform
- The app should work in realtime while providing all the features customers love to use in RideYellow
- Transform RideYellow into a cloud-based infrastructure with efficient use of data
The team had already built a basic version of the product and had a small group of early adopters. These were seasoned professionals and data scientists who were familiar with their jargon.
Our task was now fourfold – create an aesthetic yet simple to use UI, couple it with a highly responsive front end, augment their back end team, and simplify the app experience for customers to quickly create their desired stats from uploaded data