Built an AI-powered logistics scheduling system with a dual-mode backend: users can query or modify existing schedules via natural language or generate optimized schedules based on live data.
The backend workflow validates chassis, container, and return availability using n8n and OpenAI, then returns structured assignments.
A connected frontend UI displays schedules by truck, load, and route with optimization insights—creating a fully automated dispatch planning tool.