The retail industry is facing a digital revolution at a pace never seen before. With the digital behemoth that is Amazon, traditional brick & mortar retailers are challenged to find ways to integrate analytics to remain competitive. This article looks at how Walmart is taking large bets in artificial intelligence and machine learning (ML) to support its long-term growth and their vision of a 'newly imagined future of retail.'
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“We knew it was going to happen, it’s just happened faster than we thought.” – Peter Nordstrom
Walmart recently announced a partnership with Google to enable voice-activated shopping for Walmart products via Google Assistant and Easy Re-order via Google Express. The data this partnership provides should allow Walmart to create a more customized shopping experience for its customers at scale; in other words, deliver on the "mass customization" model Amazon has taught consumers to demand. The question remains whether Walmart can effectively integrate real time, end-consumer data into its existing supply chain infrastructure to deliver on these goals.
With the slogan, “Expect more, pay less,” Target has grown to become the second-largest discount retailer in the United States. As retailers across the country continue to digitize, how can Target continue to ensure that its customers can expect more?
Can Walmart use digitalization to develop a customer experience that Amazon currently cannot?
Using smartphones as barcode scanners has created a showrooming phenomenon. How can traditional retailers catch up?
Amazon: now offering instant product ordering in exchange for detailed consumer data
As it strives to maintain its global leadership, Walmart has joined hands with ride-sharing giant Uber, among other technological advancements.
As ecommerce takes hold, what will happen to Walmart’s 11,500 retail locations?