Lyft, Inc.

Bao Kham Chau

Alex Collier Mazure

Jonathan Patrick O'Keefe

Joanna Mun Yee Chan

Anthony Michael Padin

Harel Sheniak

Samuel Soffes

Ko-Ay Timmy Siauw

Dennis Li

Janette Yuen-Sum Fong

Jimmy Young

Mohammad Ali Motie Share

Humboldt Jayme Ramirez

The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system identifies low engagement transportation providers by analyzing information associated with the transportation providers to generate engagement levels. Furthermore, the system identifies an optimal match between a low engagement transportation provider (regardless of whether the transportation provider is online or offline) and a scheduled transportation request by utilizing attributes associated with a scheduled transportation request and attributes associated with transportation providers to generate rankings for the transportation providers. Additionally, the system provides the scheduled transportation request exclusively to a selected transportation provider based on the generated rankings.

Optimizing engagement of transportation providers

The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty. Additionally, or alternatively, in certain implementations, the disclosed systems generate a transportation efficiency metric for modifying a projected transportation route for a shared transportation to account for a cancellation of a shared-transportation request. Based on the transportation efficiency metric, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

Intelligently customizing a cancellation notice for cancellation of a transportation request based on transportation features

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Oakland, CA, United States of America

Bao Kham Chau