Lyft, Inc.

Tzu-Hsin Chiao

Ricky Chachra

Adriel Frederick

Christopher Sholley

Ashivni Shekhawat

Jerome Hong-Phat Thai

This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.

Growing community of inventors

Seattle, WA, United States of America

Tzu-Hsin Chiao