‘Orders Near You’ and User-Facing Analytics on Real-Time Geospatial Data

‘Orders Near You’ and User-Facing Analytics on Real-Time Geospatial Data

摘要

By its nature, Uber’s business is highly real-time and contingent upon geospatial data. PBs of data are continuously being collected from our drivers, riders, restaurants, and eaters. Real-time analytics over this geospatial data could provide powerful insights.

In this blog, we will highlight the Orders near you feature from the Uber Eats app, illustrating one example of how Uber generates insights across our geospatial data.

Orders near you was a recent collaboration between the Data and Uber Eats teams at Uber. The project’s goal was to create an engaging and unique social experience for eaters. We hoped to inspire new food and restaurant discovery by showing what your neighbors are ordering right now. Since this feature is part of our home feed, we needed it to be fast, personalized, and scalable.