About the Company

Samplify, a health-tech logistics disruptor, accelerates high-speed sample collection and logistics services for diagnostics providers. They focus on efficient sample management processes to improve the accessibility and affordability of high-quality diagnostics.

Explore their journey with NextBillion.ai’s Route Optimization solution.

The Problem

Samplify faced complex logistical challenges in managing sample collections from various locations with specified time windows.

The challenges unfolded as follows:

  • Multi-stop route planning: Samples collected during visits were consolidated and delivered to a single lab three times a day. Managing 1600+ stops for multi-stop route planning posed a challenge due to the complex geographical spread of their operations.
  • Time flexibility and aggregation: Scheduled visits had the flexibility of +/- 15 minutes, and samples collected needed aggregation at common meeting points during specific time ranges.
  • Optimization objectives: Samplify aimed to minimize the number of riders, reduce travel distance and increase the number of visits per rider, all within a rider’s working hours of around 9 hours.

Our Solution

Optimal multi-stop routes using Route Optimization API

NextBillion.ai developed a customizable route optimization solution tailored to Samplify’s specific needs. The solution comprised:

  1. Clustering API
    • Strategically clustered endpoints, creating localized meeting points at the conclusion of each shift.
    • Facilitated a streamlined handover process by intelligently grouping samples at common meeting points, enhancing operational efficiency.
  2. Route Optimization API
    • Identified the optimal multi-stop routes and number of vehicles needed to efficiently fulfill orders.
    • Created optimized routes based on time windows, minimizing riders and travel distances.
    • Maximized the number of visits per rider.
    • Efficiently handled the hard constraint of service time per location using the API’s capabilities.
    • Additionally, we incorporated +/- 15-minute flexibility for scheduled visit/arrival times, leveraging the soft constraint capabilities.

The Outcome

Localized meeting points using Clustering API

NextBillion.ai’s tailored route optimization solution successfully addressed Samplify’s challenges, providing a cost-effective, efficient and flexible approach to field force management and sample collection operations.

The solution’s adaptability to specific constraints showcased its ability to meet diverse requirements in the dynamic healthcare logistics landscape.

“Great Route Optimization solutions with flexible options and good support from NB team. What we like best about NextBillion.ai is the flexibility and speed to bring in requested features. Our major pain was around the route optimization for our logistics services and NB is able to solve the same. It is helping us reduce the cost of manpower and kms travelled thereby improving unit economics. “

–Nitin Reja – Director and CFO at Samplify

The health-tech company was able to:

  • Achieve significant cost savings by minimizing the number of riders and travel distances.
  • Improve overall field force management and maximize fleet utilization, allowing for more visits per rider with optimized routes.
  • Minimize conveyance costs through intelligent route planning and resource allocation.
  • Adapt to dynamic constraints, including service time per location and varied arrival times.
  • Provide a consistent and superior healthcare experience for patients through reliable and timely sample collections.
  • Intelligently aggregate samples, reducing complexity in sample collections/deliveries and overall turnaround times.

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