Shopper AI, an Israel-based tech company that specializes in shopper behavior recognition, is making its official American debut at the ShopTalk retail convention.
Via computer vision and AI, they are able to collect anonymous data and offer actionable insights and personalized recommendations, using existing in-store cameras. The data this provides amounts to an exciting development in retail technology, closing a persistent gap with ecommerce, which has been able to leverage data analytics for years.
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“In ecommerce, you can analyze your clicks and abandon-cart rates, and run A/B tests to see what’s working and what’s not. It’s time to empower retailers and brands to make data-driven decisions in-store as well, and we are excited to start partnering with companies in America,” said Lanor Daniel, co-founder and CEO of Shopper AI.
Daniel believes that some of the most powerful data is gathered during what she calls a shoppers’ “moment of truth” — as they’re standing in front of the shelf with a product in hand, deciding whether or not to make the purchase.
“What makes someone buy? What makes them put a product back on the shelf or rack?” Daniel explained. “Through AI, we’re able to look at shoppers’ real-time behavior anonymously to help stores more deeply understand their customers and make data-backed decisions that drive stronger sales.”
Founded in 2018 by Lanor Daniel and Sivan Friedman Joseph, technology of the women-founded startup has already been used by global brands and other retailers across Israel, including Coca-Cola, Nestlé, and P&G.
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“By understanding shoppers’ needs, wants, and motivations, brands and retailers can tailor marketing strategies, product offerings, and in-store experiences more effectively,” said Friedman Joseph, who also serves as the company’s chief product officer. Shopper AI is able to help identify specific customer profiles, such as those given to impulse purchases versus others driven by price or quality or brand loyalty, or more, she said.
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