Case Study: EasyHealth achieves 62.5% cost savings and faster scheduling with NextBillion.ai

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Preview of the EasyHealth Case Study

EasyHealth Improved Scheduling Efficiency and Saved 62.5% with NextBillion.ai

EasyHealth, a US-based healthcare company that supports in-home preventive care, needed a faster and more scalable way to calculate travel times and distances for scheduling member visits. Their existing distance matrix API created high API usage, rising costs, and operational inefficiencies as they scaled, making it difficult for schedulers to quickly identify the best providers. NextBillion.ai provided the needed scheduling support through its Distance Matrix API, along with Maptiles API and Directions API.

With NextBillion.ai, EasyHealth streamlined route planning and provider selection with low-latency travel time and distance calculations. The company completed testing, integration, and production deployment in under 10 days, cut scheduling time by 40%, and reduced API costs by 62.5% compared to its previous solution.


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