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Introduction to Applied Big Data for Stores


derning
Shiny Day

“Applied Big Data for brick-and-mortar retail” includes platforms that have the ability to measure and draw actionable inferences from customers’ […]

“Applied Big Data for brick-and-mortar retail” includes platforms that have the ability to measure and draw actionable inferences from customers’ behavior in brick-and-mortar stores in the same way that their online partners have been doing for years. Applied Data for brick-and-mortar retailers accounts for diverse factors such as the physical location of shoppers and employees in the store; the layout, fixtures, and planogram of the store; staffing schedules; complete detail on actual sales, and even the weather. Input sources can include video cameras, Wi-Fi tracking tags, smart shelf sensors, and other in-store systems like those for Point-of-Sale (POS), staffing, and task management.

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