Background
A logistics company faced challenges with low delivery efficiency, suboptimal route planning, and difficult driver scheduling. They needed an intelligent dispatch system to optimize daily operations.
Solution
System Architecture
- Frontend: Vue 3 + TypeScript + Amap API
- Backend: Go (Gin) microservices architecture
- Algorithm Engine: Route optimization (genetic algorithm + greedy strategy)
- Real-time Communication: WebSocket + MQTT
Key Features
- Intelligent Dispatch: Auto order assignment, route optimization, real-time adjustments
- Fleet Management: GPS tracking, trajectory playback, fuel consumption statistics
- Electronic POD: Photo capture, signature confirmation, exception reporting
- Analytics Dashboard: Operations overview, KPI analysis, cost reports
Results
- Delivery efficiency improved by 35%
- Vehicle mileage reduced by 20%
- On-time rate increased from 78% to 96%
- Monthly fuel cost savings of ¥150,000