Case Study: Uber achieves more accurate ETAs and improved rider experience with Tomorrow.io

A Tomorrow.io Case Study

Preview of the Uber Case Study

Uber Uses Tomorrow.io to Integrate Better Weather-Related Insights

Uber partnered with Tomorrow.io to tackle weather-related disruptions that affect driver and rider experiences, like heavy rain, snow, strong winds, extreme temperatures, and air pollution. Tomorrow.io’s MicroWeather on-demand forecasts and weather API (including its Insights Dashboard) were chosen to supplement Uber’s existing data and better account for the true local impact of weather on travel times.

Tomorrow.io integrated hyper-granular, minute-by-minute, street-by-street weather insights into Uber’s platform, feeding real-time forecasts into ETA modeling. As a result, Uber can provide more accurate estimated arrival times and an improved customer experience during disruptive weather events under the multi-year agreement with Tomorrow.io.


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Uber

Nick Johnson

Maps and Technology Partnerships


Tomorrow.io

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