Exploring the Google Maps API for Logistics Route Visualization

A table of routes is useful; a map of routes is intuitive. We added a map view to our scheduling dashboard, and it changed how dispatchers understand coverage.

Setting Up the Google Maps API

You'll need a Google Cloud project with the Maps JavaScript API enabled. Restrict your API key to your domain. We load the API asynchronously using the `@googlemaps/js-api-loader` package to avoid blocking the page render.

Rendering a Map with React

We created a <GoogleMap> component that initialises a map on mount and exposes it via a ref. The key is to use `useEffect` with an empty dependency array and a cleanup function that destroys the map instance to prevent memory leaks.

Plotting Route Data

Each route in our dataset includes a series of lat/lng waypoints. We use the Maps JavaScript API's `Polyline` to draw the route path and `Marker` to denote stops. Custom icons differentiate between completed and pending stops—green for delivered, red for exceptions.

Handling Performance with Many Markers

With 200+ markers, the map gets cluttered. We implemented marker clustering using the `@googlemaps/markerclusterer` library. At zoom level 10, you see clusters; zoom into a neighborhood, and individual markers appear. It keeps the map responsive.