With our product, a brand could monitor current trends in a specific product category by tracking new competitors products and product extensions. By analyzing segmented data, a brand could detect opportunities in higher growing segments or segments with higher margins.
With these insights, brands can evaluate consumer responsiveness to their product in-store. They can also optimize advertising investment (i.e. drive specific demographic groups in a specific zip code to the store)
and assess competitive dynamics with actual shoppers.
The total economic impact of this information and actions based on this information is up to 30% of the sales
and marketing budgets of brands.
Today, retailers arrange products in a store by product category. Figure It helps to arrange products by probability
We connect to security cameras in a store and build a skeletal model of all the shoppers. We use standard cameras, no specialized hardware required. We are then able to know when a person: stops at the shelf, turns to the product, looks at the product or picks up the product.
We determine the direction of view and the product in their hands. When a person’s face enters the camera, we determine their age, gender, and other demographic data.
We build AI software that sits on top of security cameras to automate analysis. Hence there is no need for new software and hardware.
Your data on-site. All personalized data will stay with the retailer alone. At no point will it be possible to recognize faces and identify a person. We never store any data nor backlink processed data to the original image source. This guarantees full GDPR compliance without having to obtain customer consent.
Plug & Play
We aggregate & anonymize
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