Camperoni

1. Challenge & Constraints

Live tracking latency bottlenecks, unoptimized route planning causing high fuel costs, and dispatch console slowdowns under high vehicle counts.

2. Architectural Solution

To solve these bottlenecks, the system was built using the following core patterns:

• Built a high-frequency FastAPI backend caching live transit coordinates in Redis.
• Rendered vehicle coordinates dynamically on optimized Mapbox layers.
• Developed route optimization algorithms calculating path runs dynamically.

3. Measured Outcomes

• Decreased transit delivery times by 15% on average.
• Scaled tracking capabilities to support 100+ active fleet vehicles concurrently.
• Boosted dispatcher productivity by 50% through simplified single-screen workflows.