Turning Store Traffic Footage into Marketing Insights
Oleg Tagobitsky Oleg Tagobitsky

Turning Store Traffic Footage into Marketing Insights

In-store cameras are no longer just for counting people — they're becoming powerful tools for understanding shopper behavior. By analyzing how long customers dwell at displays, which products they interact with, and how store layouts influence decisions, retailers can unlock insights once limited to e-commerce. This post explores how modern computer vision turns everyday footage into data-driven marketing decisions that boost engagement and conversion — without compromising customer privacy.

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Personalized Retail Ads Triggered by Shelf Photos
Oleg Tagobitsky Oleg Tagobitsky

Personalized Retail Ads Triggered by Shelf Photos

Smart shelves are transforming in-store marketing by using cameras and AI to detect product changes and instantly update nearby digital signage. When a shelf runs low or a product gains popularity, the system reacts in real time — showing targeted offers that feel personalized to each shopper. This new approach boosts sales, improves efficiency, and creates a more engaging retail experience — all without adding extra staff. Discover how shelf photos and computer vision are reshaping the future of physical retail.

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