Scheduling webinars that show the right time per attendee
A B2B software company kept sending webinar invitations in one fixed time zone, then fielding a wave of confused emails from attendees who showed up an hour late or early.
Real problems solved with location data: fraud checks, delivery zones, store finders, local times and analytics.
A B2B software company kept sending webinar invitations in one fixed time zone, then fielding a wave of confused emails from attendees who showed up an hour late or early.
A trail guide app was rating hikes as easy, moderate, or difficult based on distance alone, which put a flat six-mile walk in the same bucket as a six-mile climb.
A digital bank needed the address a new customer typed in to actually correspond to a real, well-formed location before it moved on to the rest of its identity checks.
A regional internet provider wanted visitors to check service availability at their address in one step, without a lengthy address form before the answer appeared.
An ad platform wanted to swap in the right country name, currency symbol, and shipping promise for each viewer, without asking the advertiser to build a version for every market.
A regional relief coordinator needed to plot shelters, supply points, and reported needs on one shared map, fast, with addresses arriving in whatever format volunteers happened to type them.
A franchise's central website listed the same "open until 9 PM" for every location, which was wrong for at least a third of them on any given day.
A farm equipment manufacturer's dealer network spans mostly rural areas, where "nearest dealer" can mean an hour's drive either way depending on which road you take.
A marketplace noticed that a cluster of seemingly unrelated seller accounts kept logging in from the same narrow slice of network address space.
A campus ride-share app needed to confirm a pickup request actually fell inside its approved operating zone before dispatching a driver.
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