RouteMind is a multi-tenant fleet management SaaS with live GPS tracking and an AI voice agent for operators. I built the full stack and the AI layer end to end.

The hardest part was the data architecture. Structured records like fleet profiles, driver data, and route history sit in MySQL. The high-frequency GPS event stream, which would choke a relational setup, runs through MongoDB instead. Vehicle positions render on a live map with latency low enough that movement feels real-time. That split is what kept the dashboard fast while thousands of GPS events landed every minute.

The AI layer is a voice agent built on a RAG pipeline and the OpenAI API. Operators call in, and the agent retrieves from a vector database of indexed fleet policies and route procedures before answering, never generic output. Questions outside its scope trigger a clean handoff to a human.

The platform is fully multi-tenant with strict data isolation between businesses. Roles and permissions are set from the dashboard, so onboarding a new operator needs no code change.

What the client gets: live fleet visibility, an AI agent that answers policy questions without tying up staff, and an architecture that holds up as the fleet grows.