Case Study: Health-Tech Firm achieves 25% cost savings with NextBillion.ai Route Optimization

How NextBillion.ai Helped Health-Tech Firm Improve Sample Collection Schedules and Achieve 25% Cost Savings

Health-Tech Firm, a health-tech logistics provider, needed to manage highly complex sample collection routes across 1,600+ stops with tight scheduling constraints, including +/- 15-minute visit flexibility and multiple daily deliveries to a central lab. NextBillion.ai helped address these field service routing challenges with its route optimization solution for sample collection and logistics.

Using NextBillion.ai’s Clustering API and Route Optimization API, the company built optimized multi-stop routes, localized meeting points, and more efficient rider schedules while respecting time windows and service-time constraints. The results included 25% cost savings, 35% more visits per rider, 25% lower conveyance expenses, reduced travel distance, and faster sample turnaround times.