The mobile taxi service has built a new recommendation platform for big cities based on where riders set as their destination

Want to have your cake and eat it too? Enter big data dining. That's right, Uber is now using passenger data to help customers find the most popular eateries in the area with their Uber Restaurant Guide.

Essentially the guide is a curated list of dining spots in cities such as Atlanta, Boston, Miami, Nashville, Los Angeles and New York City, incorporating popular, up-and-coming, brunch spots and date night picks. The restaurants tend to be quite pricey, since people who can afford to Uber to restaurants can afford expensive dining. As more data is processed, the service will likely expand to more cities in the months to come.

$15 provides access to this article and every case-study, interview, and analysis piece that we publish for the next 30 days. Our Premium Subscription also provides access to a database of over 100,000 articles on innovation in brand, customer, and retail experience.
Already a subscriber? Log in