In recent years, sophisticated artificial intelligence models have become commonplace in grocery stores. Spurred on by the pandemic and supply-chain challenges, it’s changing the grocery-buying experience rapidly, from AI-powered shopping carts that recognise the items you’ve picked up automatically to chef bots that generate recipes based on your purchases.
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Kraft Heinz uses machine learning to track demand for its products leading up to events such as the Super Bowl. Amazon opened a fully automated Whole Foods this year that uses deep-learning software to let customers shop without a cashier. Caper Cart makes shopping carts that automatically recognise what customers pick up and check them out. Supermarket chain Walmart uses machine learning to predict inventory for everything they make in-house, such as pies and rotisserie chicken. They also have “autonomous floor scrubbers”—or self-driving robots—to scan shelves and send alerts to staff. AI has helped the stores in becoming over 90 percent accurate in predicting demand to meet consumer’s satisfaction.
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