It's an understatement to say that today's consumers expect a lot. To create and reinforce loyalty, retailers need to fulfil lofty expectations by creating customer experiences that are targeted and timely. And in order achieve this level of intimacy with each customer, retailers need data.

With better information, enabled by AI, retailers can create personalized experiences both online and in-store-and with NRF reporting that 79% of consumers make at least half of their purchases in-store, successful brick and mortar retailers are eager to exploit AI tools to improve the in-store experience.

Online mega-retailer Amazon attributes 55% of its sales to its recommendation engine, which aggregates variables such as prior purchases, purchases made by people with similar interests, purchasing frequency, and more. Other AI-enabled technologies savvy internet retailers are using to drive engagement and sales include curated social media feeds, chatbots, visual image search, and more. In-store innovations include smart shelves that display detailed product information, multi-lingual robots that guide shoppers, and virtual fitting kiosks to 'try on' clothes.

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Tableau Software Inc. published this content on 18 January 2019 and is solely responsible for the information contained herein. Distributed by Public, unedited and unaltered, on 18 January 2019 18:33:02 UTC