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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Retail Analytics: Using AI-Powered Image Recognition for Customer Insights and Behavior Tracking
Oleg Tagobitsky Oleg Tagobitsky

Retail Analytics: Using AI-Powered Image Recognition for Customer Insights and Behavior Tracking

AI-powered image recognition is transforming the way businesses understand customer behavior and optimize operations. By gathering real-time data on demographics, foot traffic, and even customer emotions, retailers can gain deep insights to enhance the shopping experience and drive sales. From personalized marketing and customer journey mapping to automated inventory management and security enhancements, AI is revolutionizing retail analytics. In this post, we explore how retailers can leverage this cutting-edge technology to stay ahead of the curve and offer tailored, efficient experiences that build customer loyalty.

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