Uber and Ola both are one of the fastest growing firms in the taxi aggregator industry. However, both run through very different operations and working logistics in terms of driver and rides, route optimization, area connectivity, and availability. With this paper, we aim to draw a comparison between daily working and logistics optimization of both Uber and Ola, so as to understand the workings and the shortcomings of both the firms on whole. For this purpose, we have used mathematical and analytical tools of operations research.