"That's because most top AI companies - like OpenAI, Microsoft, Anthropic, or Meta - operate in a primarily virtual space, processing unfathomably complex rivers of information into more digital information. AI-adjacent companies like Nvidia, Intel, and Oracle focus on providing the physical infrastructure upon which the AI machines function. Then there are the companies that are using digital intelligence to deliver physical results through automation and augmented experiences, like Tesla and Amazon."
"Walmart, by contrast, has a vast and complicated set of physical challenges to solve as the largest retailer in the US - and the world. Those include everything from cleaning up spills in the dairy aisle to stocking shelves. "We move billions of items around every month, every year," Walmart US CEO John Furner said Tuesday at the Fortune Brainstorm Tech conference. He said the company has been developing machine learning tools and other automation projects since around 2015."
Walmart uses AI and automation to address extensive physical retail challenges across stores and supply chains. The company's combination of digital systems and massive physical operations creates opportunities to apply machine learning to inventory planning, logistics, and in-store tasks. Walmart moves billions of items monthly and models facilities with digital twins to simulate merchandise flow and optimize timing. AI-driven supply-chain automation helps ensure inventory arrives at the right aisle at the right time. Store associates receive chatbot assistance via handheld devices to manage operational tasks. Walmart has developed machine learning and automation projects since about 2015, leveraging scale as an AI advantage.
Read at Business Insider
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