Which retail giant famously uses machine learning algorithms that incorporate satellite imagery to analyze foot traffic patterns before selecting new store locations in emerging markets?

In the competitive world of global retail, geographic positioning of flagship stores has become an art form. Major brands now analyze population density, tourist flows, and cultural relevance when selecting prime retail locations. This trend has led to fascinating retail analytics practices where machine learning algorithms predict the success potential of locations based on geographical and demographic data. How well do you understand the strategic geographic placement of major retail flagships?

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Uniqlo, whose 'GeoRetail AI' system analyzes 200+ geographical variables before finalizing any new location in Southeast Asia
Amazon, whose 'Terra Analytics' platform combines satellite imagery with local spending data to identify optimal locations for Amazon Go stores
Starbucks, whose 'Atlas' program uses satellite imaging and demographic mapping to predict store success with 85% accuracy
IKEA, whose 'GeoScan' technology assesses population density, transportation networks, and regional income levels to determine ideal store placement