Turo, a peer-to-peer carsharing marketplace, has partnered with Yhat, a provider of data science management software. Turo will be using Yhat’s ScienceOps software to power its mobile app.
ScienceOps software will provide dynamic pricing and product recommender algorithms directly into Turo’s car rental app, according to the company. The Turo data science team can then provide data driven pricing and vehicle recommendations to people listing and renting cars via the app.
Yhat’s algorithms use variables like car make and model, user attributes, and predicted competition.
"Customer-level data is everywhere, which gives companies an incredible opportunity to serve their customers in a more tailored, personalized way,” said Austin Ogilvie, CEO and co-founder of Yhat. “The challenge is finding a way to convert that into a strategic function. Turo is an example of a company that has actually brought data science to life in their product, which is immediately evident when you use their app. It's a seamless experience. We're privileged to be a part of their journey."
"Turo has millions of data points about how people lend and borrow vehicles,” said Jerome Selles, Turo’s director of data science and analytics. “As Turo expanded, we wanted to leverage our data in real time to make it easier and more fun to lend or borrow a car. Thanks to Yhat, we're able to embed our data science models into the app as REST API endpoints, which cuts the technical deployment phase time from weeks, or even months, down to seconds. ScienceOps allows us to realize the value of our data science work almost immediately."
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