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Daisy Intelligence is one such artificial intelligence vendor. The Toronto-based company focuses on retail merchandise planning: promotion, pricing and demand forecasting optimization. We spoke with Gary Saarenvirta, CEO of Daisy Intelligence with the intention of finding answers to the following questions: 
Obinna Odenigbo's curator insight,
October 30, 2018 3:55 AM
AI could be very useful in the retail industry.
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The future of food retail is to be found in China. Following Alibaba, major competitor JD.com has also opened its technologically advanced supermarket: 7Fresh uses eCommerce technology and aims to open 1,000 stores.
Farid Mheir's insight:
WHY IT MATTERS: expect to see more robots in supermarkets in the near future - especially if you are in China 7fresh new high-tech supermarket. See a short description of the store here.
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Instacart is saving minutes per delivery by sorting shopping lists using deep learning. Emojis help to define the problem and outline both a simple and a more complex deep learning architecture.
Farid Mheir's insight:
WHY IT MATTERS Grocery shopping is often tedious, as most grocery stores have a slightly different layout. Instacart sends human shoppers to pick orders placed online on their website. Mapping every single one of their thousands of stores is not an option. Instead, they have trained a neural networks on millions of orders to predict the best sort order for their shopping lists. And in the meantime save precious minutes in the order picking process.
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Curated by Farid Mheir
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WHY IT MATTERS: the article presents possible use cases for AI in grocery Big Data analysis.Â