Verifying an address matches its stated postal code before checkout
A mismatched postal code and city on an order form looks like a small typo until it turns into a delivery sent to the wrong part of the country entirely.
Building a simple geofencing alert for a logistics app
A full fleet tracking platform was more than a small logistics company actually needed for the one specific thing its dispatch team kept asking for: a plain notification the moment a delivery truck arrived at or left a specific, important customer site, useful for customers who wanted advance notice of an arriving delivery and for the company's own record of when a delivery had actually reached its destination rather than relying on a driver's own end-of-day report.
The building blocks for this were simpler than a full tracking platform, and the company already had GPS coordinates streaming from its delivery vehicles through the mobile devices drivers carried. What it needed was a way to define a customer site as a boundary and check incoming coordinates against it, plus a way to make sense of a raw coordinate when something needed a human-readable description rather than a pair of numbers.
For each important customer site, the company geocoded the site's address through /v1/forward to get a fixed reference coordinate, then defined a small radius around that point representing the site's arrival boundary, a simple radius check rather than a complex custom-shaped boundary, since a radius was precise enough for the company's actual sites, mostly warehouses and loading docks without unusual or irregular boundaries to worry about. As a truck's incoming GPS coordinates streamed in, the company's own backend calculated distance from each tracked truck to each relevant site's reference point, triggering an arrival alert once a truck crossed inside the radius and a departure alert once it moved back outside it.
/v1/reverse played a supporting role for the human side of this system: when a dispatcher needed to review an alert or investigate an unexpected pattern, like a truck that seemed to leave a site and immediately return, having the raw coordinate resolved back into a readable address and location description made the dispatcher's review meaningfully faster than working from a pair of numbers on a map that needed manual investigation to interpret.
The company kept this deliberately simple rather than building toward a full route optimization or fleet management platform, since the specific problem it was solving, arrival and departure alerts for a defined list of important sites, did not need most of what a larger platform would offer, and building only what was needed kept the project small enough to ship quickly and maintain without a dedicated engineering team behind it.
Customers receiving arrival alerts reported real value from the advance notice, particularly ones with limited staff on-site who needed a few minutes' warning to have someone ready to receive a delivery rather than being caught off guard, a small operational improvement for the customer that cost the logistics company relatively little to build.
Site geocoding was a one-time setup cost, small given how few high-priority sites needed this specific treatment, and reverse geocoding usage tracked how often a dispatcher needed to investigate a specific alert, a light and occasional workload rather than a constant one. Both stayed comfortably inside the free daily allowance for a company of this size.
Documentation for both endpoints is at /docs/forward-geocoding/ and /docs/reverse-geocoding/.