Taxi wait times dropped by 18%, while GMV grew by 28%

Demand for taxis can vary depending on the neighborhood, the weather, and the time of day. The ability to predict where it's going to be raining in the next 30-60 minutes drives better predictions of demand and improves car distribution around the city. Thanks to Meteum predicting where and when it will rain with up to 90% accuracy, a taxi service cut demand forecasting errors by 38%. The average wait time dropped by 18% since drivers were able to position themselves in anticipation of demand spikes. The company's driver loyalty index also jumped by 11% after the service made life easier for them. During inclement weather, incremental GMV was up 28%.