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Uber wants to outsmart surge pricing

The ride-hailing service is reportedly using machine learning to better predict supply and demand.

Uber is looking for ways to reduce surge pricing.

The long-term goal of Uber is to use self-driving cars to mitigate the problem of limited drivers, according to NPR. But in the short term, the ride-hailing service is looking to machine learning to, hopefully, reduce the need for surge pricing.

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Uber is using technology to help reduce surge pricing.

Uber

Surge pricing, which ups the cost of an Uber ride, kicks in when extenuating circumstances like inclement weather or a big event create high demand. Some drivers seek out these situations to make extra cash, but Uber says it hopes to solve such scarcity before it becomes a problem.

"Uber is always looking for ways to better predict supply and demand in a city," said an Uber spokesperson on Tuesday. However, surge pricing will remain for now because "it's the only way to ensure that passengers can always get a ride when they need one."

Update, 8:22 a.m. PT: Adds comment and clarification from Uber. The ride-sharing service does not plan to stop using surge pricing, but wants to reduce the need for it using machine learning.