Case Study: Ride-Share Company achieves faster, more accurate routing with NextBillion.ai

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Preview of the Ride-Share Company Case Study

Ride-Share Company Enables Faster, More Accurate Routing for Multiple Drop-Offs

Ride-Share Company, an on-demand ride-sharing service for office commuters, needed a more accurate and flexible routing stack to keep trip routes aligned with its own algorithm. The company’s existing setup, which relied on Google routing, often sent drivers to incorrect pickup and drop-off points around large building complexes and could not handle polyline-based navigation well.

NextBillion.ai provided Snap-to-Road, Distance Matrix, and Directions APIs to sync routing with the company’s algorithm, improve vehicle tracking, and deliver turn-by-turn directions within its existing map stack. With NextBillion.ai, Ride-Share Company improved pickup/drop-off accuracy, reduced trip times and fuel costs, and scaled operations more easily by supporting multiple stops and more drivers.


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