Wildberries tests AI tool that predicts shopper attention on product cards

Wildberries built Attention Analysis on eye-tracking data, but instead of tracking a real person's gaze with a sensor, the AI predicts where a shopper is likely to look based on computer vision research. The tool analyzes a product card image in about 15 seconds and returns three outputs: a heat map of attention zones, a gaze trajectory showing the path a viewer's eyes are likely to follow, and a percentage score for how much attention the product itself, the infographic and the background are likely to draw. Wildberries says the tool does not use cameras or collect personal data from shoppers. Sellers reach it through Товары и цены, then Карточка товара, then Фоторедактор, where they select Анализ внимания, upload an image and click Начать анализ. The feature is part of the Jem subscription and is currently in testing, available only to some sellers.
Sellers who rely on gut instinct for thumbnail and infographic design now get a directional read on attention before a card goes live, without waiting for click-through data to accumulate. That matters most for categories where product photos are crowded with badges, price call-outs and comparison graphics, since the heat map can flag when none of that reaches the shopper's eye. Wildberries still recommends confirming any hypothesis with A/B tests and actual sales figures, so the tool works as a fast first pass rather than a replacement for measured results.
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