RouteQ

Overview

RouteQ takes a depot, a list of stops, and a fleet of vehicles, and returns the fastest tour for each driver. We built the optimisation pipeline, the API, and the operations layer that runs it at scale.

What we built

• SolverVehicle routing (VRP) optimisation with time windows, capacity, and driver shifts.
• APIStateless REST API with idempotent job submission and webhook callbacks on completion.
• MapsDistance and ETA via Google Maps with caching to reduce per-request cost.
• QueueJob queue with Redis to absorb traffic spikes without blowing up the solver.
• ConsoleOperations dashboard for job inspection, replay, and rate-limit management.

Architecture

API on ECS, solver workers in a separate auto-scaled pool, Redis for queues and short-term cache. Stateless and horizontally scalable — capacity grows by adding workers, not redesigning.

Outcome

Used by logistics teams to plan thousands of routes a day. Cut average per-route planning time and freed dispatchers from manual sequencing.