Real problems solved with location data: fraud checks, delivery zones, store finders, local times and analytics.
A software vendor's pricing calculator showed every number in one currency, which meant a visitor from almost anywhere else in the world had to do their own mental conversion before the price meant anything.
A franchisor expanding into a new region needed to know exactly where existing locations already were before drawing lines for new franchisee territories.
A retailer's fraud team found that orders where the billing country, shipping country, and connecting IP address all told different stories were disproportionately the ones that ended in a chargeback.
A solar installer wanted an early, rough answer for a homeowner asking whether their property was even worth a full site visit, before scheduling an engineer to check in person.
A publisher's newsletter open rates varied wildly by region, and the reason turned out to be simple: everyone was getting it at the same fixed hour regardless of where they lived.
A school district fielded the same question hundreds of times each spring: which school does my address actually belong to, and a self-service checker finally answered it directly.
An online retailer wanted to offer pickup locker delivery, but only if shoppers could actually find which locker was nearest without leaving the checkout page.
An insurer's online quote tool needed a location signal fast enough for an instant quote and specific enough to reflect real differences in local risk.
A digital goods seller needed to know, reliably and for every transaction, which country a buyer was actually purchasing from, not just what country they claimed on a form.
An insurance company's call center routed every inbound call to whichever agent was free, ignoring the fact that regional knowledge mattered more than raw availability.
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