How Retail Changes When Algorithms Curate Everything We Buy

Giant travel search engines such as TripAdvisor, Expedia, Kayak, and Google Flights have all but replaced travel agents as most consumers’ travel advisors. Soon, independent curating engines like these could trigger the next wave of disruption in retail. The first stage of the digital shopping revolution saved consumers time and money by letting them buy things they already wanted without having to go to a traditional retail store. A major part of the second stage will likely be a dramatic refinement of technologies that tailor recommendations and then scour the internet for the best deal.

Some established retailers already offer services to help customers find the most suitable products among those they supply. Amazon collects user reviews and makes customized suggestions based on learning algorithms. In the United Kingdom, womenswear retailer Topshop and department store John Lewis partner with online engine provider Dressipi to create personalized outfit recommendations based on initial profiling followed by machine learning applied to preferences.

A new generation of retail choice engines will work more clearly on behalf of customers by offering transparency, neutrality, and an unlimited catalog. Just as flight intermediaries such as Google Flights, Hopper and Skyscanner find the lowest possible prices, agnostic digital retail curators could direct consumers to the retailer offering the best deals — or advise them to delay a purchase when a promotion is likely. In the same way that Expedia makes bookings directly with hotel chains, these digital curators could negotiate terms directly with manufacturers.

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2019-01-10T16:07:48+00:00 January 10th, 2019|