Shopperception Analyzes, Reveals And Responds To At-Shelf Behavior

Brick-and-mortar retailers competing directly with online sellers are at a disadvantage: Offline merchants must measure store traffic, shopper activity, and SKU and promotional performance, often lacking the breadth of digital tools in place for e-Commerce.

But the gap is closing with in-aisle behavior analysis tools such as Shopperception. Shopperception technology employs 3D sensors installed directly above store shelves. The sensors, visual heat maps and proprietary algorithms detect traffic, follow people within sensor reach, and analyze actions at the shelf. With this tool, retailers can discover how spaces are performing; adjust planogram strategies; and conduct A/B testing of brand placement and promotions.

Shopperception supports multiple and simultaneous people tracking, traffic flow analysis based on zones and time of day, average time spent in a zone, product conversion rates per SKU and product traction analysis. Data can be integrated with various in-store technologies, such as business intelligence solutions.


The Shopperception platform also can trigger real-time responses, including tailored messages delivered through digital signage and mobile advertising, based on specific activities.

Both Walmart and Heineken leverage Shopperception to put the in-store experience in context, according to a recent article from Forbes. The tool provides offline retailers with “far deeper and more meaningful information than was previously pragmatic or even possible,” according to the article. For example, Heineken executives can identify where each can and bottle was purchased, and determine which section of the cooler or shelf position will move the most products.

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