Case Study: Tipplr reduces API costs by 60% with NextBillion.ai

A NextBillion.ai Case Study

Preview of the Tipplr Case Study

Tipplr Unlocks Cost-Efficient Growth By Switching to NextBillion.ai

Tipplr, a Bangalore-based food and beverage discounting platform, needed a more affordable way to calculate distances between customers and restaurants/merchants for delivery pricing. As order volume grew, its existing distance matrix API provider became too expensive at scale, creating pressure to find a cost-effective alternative. Tipplr chose NextBillion.ai’s Distance Matrix API to support its operations.

NextBillion.ai delivered a flexible, high-performance Distance Matrix API that produced accurate distances and ETAs quickly, with far larger matrix support than standard APIs. Tipplr reported that the results matched Google’s API while cutting API costs by 60%, improving unit economics and enabling expansion into Mysore and four other cities. Tipplr also plans to use NextBillion.ai for ETA calculations, route optimization, and navigation as it expands further.


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Tipplr

Srinivas Jayaraman

Co-founder


NextBillion.ai

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