Case Study: GOIN’ achieves 40% cost savings and scalable NEMT operations with NextBillion.ai

A NextBillion.ai Case Study

Preview of the GOIN’ Case Study

NextBillion.ai Helps GOIN Scale Their NEMT Services + Achieve 40% Cost Savings

GOIN’ is a public transportation technology provider that supports micro-transit, paratransit, and NEMT services for transit agencies. As its routing needs grew, GOIN’ struggled with rising and unpredictable costs, a limited 25 x 25 matrix size from its previous mapping provider, and the need for a smooth migration without disrupting service.

NextBillion.ai stepped in with its Distance Matrix API and Directions API to support larger-scale route planning, dispatch, and ETA accuracy. With NextBillion.ai, GOIN’ cut costs by 40%, reduced driver idle time by 30%, and achieved 95% ETA accuracy, while scaling to nearly 2 million API calls per month and handling matrices up to 5000 x 5000.


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GOIN’

Micko Jel Dela Rosa

Technical Program Manager


NextBillion.ai

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