Starbucks and Retail Location Analytics

Where should the next Starbucks store be built? How does the weather affect coffee orders? Which location is due for a remodel? How do you track customer sentiment through Twitter?

Starbucks is one our oldest and closest partners. In nearly a decade and a half we have created dozens of software applications that allow their analysts to make more informed judgements about real estate acquisition, supply chain improvements, and sales performance.


Since 2000 we have helped the Starbucks team create a complete and detailed data fabric of their and competitors’ store locations. On top of that we have built a suite of applications that operate and interface with the rest of Starbucks’ data infrastructure. Our applications’ algorithms help to show where sales cannibalization is happening, help to find locations that are in safe areas, and help to compare store performances.

Starbucks’ investment in geospatial analysis has provided them a lens, backed by hard data, to make clear and rational business decisions about where to locate, what to sell, and how to spot problems.

Please watch the video below, presented at the 2014 Esri User Conference, about how Atlas has become integral to Starbucks’ growth.

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