How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats - Machine Learning Times - machine learning & data science news

In Uber's ride-hailing business, a driver picks up a user from a curbside or other location, and then drops them off at their destination, completing a trip. Uber Eats, our food delivery service, faces a more complex trip model. When a user requests a food order in the app, the specified restaurant begins preparing the order. When that order is ready, we dispatch a delivery-partner to pick it up and bring it to the eater. Modeling the real world logistics that go into an Uber Eats trip is a complex problem.