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Think Tank: Personalization in the Age of Artificial Intelligence

For the better part of a decade, retail has looked to “personalization” as its primary marketing strategy in an effort to combat a rapidly deteriorating landscape. It’s time to admit it’s not working. True personalization, a 1:1 marketing experience between the brand and the consumer, is incredibly difficult, if not impossible with the current tools at a marketing team’s disposal. In fact, it would probably take upward of 10,000 marketing managers to pull such a strategy off. Artificial intelligence and machine learning, on the other hand, could handle it in mere minutes. With a rising number of store closures this year, already up to at least 3,000, retailers can’t deny they’re struggling to find a strategy that works across the board to bring shoppers back into the fold and generate the loyalty they desperately need. AI, particularly as a marketing function, has the transformative power to cure some of these ills, but as it stands, only major companies like Amazon or Google are harnessing the technology in a way that impacts the bottom line. The challenge many brands face is how to catch up or even begin to compete. AI and machine learning are still intimidating concepts for retailers who aren’t sold

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