Case Study: Rooter increases fan engagement with Stradigi AI's machine learning platform

Rooter uses Machine Learning to engage and excite their fans

Rooter, a sports community platform in India, faced the challenge of increasing user engagement, particularly during the Indian Premier League season. They wanted to incorporate accurate predictions on players and teams but lacked the in-house AI experience and infrastructure to develop the necessary models quickly. They partnered with vendor Stradigi AI to use its Kepler platform to overcome this barrier.

Using Stradigi AI's Kepler, Rooter built and deployed six performance prediction models within six weeks. The solution leveraged historical cricket data and utilized Kepler's workflows for clustering and feature impact analysis. This resulted in a nearly 10% increase in prediction accuracy over competitors and, most importantly, drove a 20% improvement in user engagement during the 2020 season compared to the previous one.

Rooter

Dipesh Agarwal

Co-Founder