Case Study: Duke University achieves faster, lower-cost route optimization with NextBillion.ai

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Preview of the Duke University Case Study

How NextBillion.ai Boosted Duke University’s Route Optimization Application and Lowered Costs

Duke University was building a routing utility web app to optimize multi-stop trips and needed a more capable, cost-effective alternative to its existing API. NextBillion.ai’s Distance Matrix API was a strong fit because the previous provider had limited destination support and higher pricing, making it difficult to scale the application efficiently.

NextBillion.ai implemented its Distance Matrix API and Browse API to support large-scale route calculations, place lookups, and ETA estimation with real-time and historical traffic data. The result was faster API response times, better control over operational costs, and the ability to handle thousands of locations and complex route constraints, significantly improving Duke University’s route optimization workflow.


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