AI-Powered Fleet Route Optimization Platform
Built a customized route orchestration engine using integrated AI agents and Google Cloud mapping pipelines to coordinate 400+ vehicles.
28%
Reduction in Fuel Costs
Execution Walkthrough
Business Problem
TransitVelo was suffering from skyrocketing fuel costs and manual dispatch delays due to legacy routing systems that couldn't adapt to live traffic congestion.
Research & Analysis
We analyzed 6 months of GPS tracking logs and dispatch sheets, uncovering that 35% of routes had redundant paths and that drivers frequently encountered sudden urban blocks.
Planning & Architecture
Our solution design architects planned a serverless routing scheduler that isolates scheduling requests from live telemetry data streams, guaranteeing high throughput.
UX/UI Design
Created an interactive dispatcher dashboard with high contrast metrics, live map clusters, and visual progress grids that simplify alert resolutions in three clicks.
Development & Testing
Written with a Next.js frontend, an ASP.NET Core microservices backend, and custom Python AI models that dynamically re-order route waypoints using real-time coordinates.
Deployment & CI/CD
Deployed using Docker containers on AWS ECS with automated GitHub Actions. Setting up Prometheus and Grafana for server alerts.
Client Benefits
- Sub-second route re-optimization
- Comprehensive dashboard analytics
- Reduced fleet overhead costs
Interface Gallery
