Stanford Case Study

Merlin Entertainments, the parent company of Legoland, recognized the need to measure their ride dispatch, throughput, and live wait (queue) times at its theme park attractions. Without tracking these critical metrics, it can be challenging to identify bottlenecks, increase throughput, and optimize staff productivity.

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Calgary Flames Case Study

THE CALGARY FLAMES ARE PARTNERING WITH SAFARI AI TO MEASURE & OPTIMIZE REAL-TIME KPI’S INCLUDING 1) IMPROVING SPEED OF GUEST ENTRANCE, 2) INCREASING CONCESSIONS REVENUE AND 3) MONETIZING FOOTFALL IN THE ARENA

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7-Eleven Case Study

7-ELEVEN HAS PARTNERED WITH SAFARI AI TO MEASURE & OPTIMIZE REAL-TIME KPI’S INCLUDING 1) PEDESTRIAN TRAFFIC TO EVALUATE NEW PROPERTIES AND 2) DOOR COUNT/CAPTURE RATE AT OVER 10 LOCATIONS IN NEW YORK CITY

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ANAKEESTA

WITH LIMITED PARKING SPACE AND A BUSY CROSS STREET, ANAKEESTA IS ABLE TO IMPROVE PARKING AND PEDESTRIAN HEADACHES BY MONITORING VEHICLE TRAFFIC AND CAPTURE RATE; THEY ALSO GET EARLY INDICATIONS OF CROWDS COMING INTO THE PARK, PROVIDING INCREASED PREP TIME

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