Verifying a business address for a directory listing
A local business directory kept publishing listings at addresses that turned out to be empty lots, until it started checking each submission before publishing it.
Real problems solved with location data: fraud checks, delivery zones, store finders, local times and analytics.
A local business directory kept publishing listings at addresses that turned out to be empty lots, until it started checking each submission before publishing it.
A property listing site let buyers filter by bedroom count and price for years, then added the one filter buyers actually asked for most: distance from work.
A checkout form used to make shoppers type a full street address by hand, until suggestions started appearing after the third or fourth letter.
A twelve-person team spread across four continents kept scheduling meetings that landed at midnight for someone, until it started tracking real time zones instead of rough offsets.
A weather app wanted to show today's forecast the instant a page loaded, before a visitor had typed a single letter of their city name.
An online store needed a shipping estimate before checkout, working from nothing but the postal code a shopper had typed into a single field.
A software company wanted to price the same subscription differently across markets without asking every visitor to declare their own country first.
A publisher wanted country-level traffic data without adding another tracking script to its pages, so it resolved location from the server logs it already had.
A regional bank replaced a static list of forty branch addresses with a tool that ranks them by distance from wherever a customer happens to be.
A media brand with followers across five continents stopped guessing when to post and started scheduling around when each audience segment was actually awake.
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