USING A PREDICTIVE REQUEST MODEL TO OPTIMIZE PROVIDER RESOURCES

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United States of America Patent

APP PUB NO 20240127697A1
SERIAL NO

18396134

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Abstract

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The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to disclosed embodiments, a transportation matching system trains a predictive request model to generate a metric predicted to trigger an increase in transportation provider activity within the geographic area for a given time period. Furthermore, the system determines a predicted gap between expected request activity and expected transportation provider activity for the geographic area during a future time period, utilizes the predictive request model and the predicted gap to generate a metric for the geographic area, and generates an interactive map associated with a customized schedule for the geographic area and the future time period based on the generated metric.

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Patent Owner(s)

Patent OwnerAddress
LYFT INC185 BERRY STREET SUITE 400 SAN FRANCISCO CA 94107

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bajaj, Saurabh San Francisco, US 9 7
Crapis, Davide Berkeley, US 8 24
Davidov, Eran San Francisco, US 14 438
Khalid, Omar Redmond, US 12 69
Milo, Ehud San Mateo, US 14 101

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