Our cutting-edge routing and matching algorithms are built on top of massively scalable data platform and compute-intensive analytics infrastructure. The ability to capture millions of data points at the tick of a clock and run high-speed analytics on top of it empowers us to evaluate every technical factor in making the ride sharing efficient and friendly.
How do we do it?
Logging and Analytics
- Integrated visualization to eyeball the state of the world and understand the network from a birds eye perspective. Many routing and matching issues stand out from a visual analysis of the data. Whether it is the the number of unfulfilled requests or SLA slippages, a birds eye perspective helps us overlay the data in a form that helps us catch the underlying issues.
- Real-time metrics for those metrics that cannot wait.It is essential that we monitor some metrics such as number of unfulfilled requests or SLA slippages to help ensure quality of service. The system provides for easy methods to pick and plumb such metrics for realtime monitoring.
A/B testing capability enables us to test various strategy and choose the one that works best for a region.While a configurable matching engine helps to develop new matching strategies that improve customer experience, A/B testing helps us verify the impact in an unbiased and data-driven manner.