Invention Grant
- Patent Title: Using a predictive request model to optimize provider resources
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Application No.: US17808238Application Date: 2022-06-22
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Publication No.: US11887483B2Publication Date: 2024-01-30
- Inventor: Saurabh Bajaj , Davide Crapis , Eran Davidov , Omar Khalid , Ehud Milo
- Applicant: Lyft, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Lyft, Inc.
- Current Assignee: Lyft, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Keller Preece PLLC
- Main IPC: G01C21/34
- IPC: G01C21/34 ; G08G1/00 ; G06Q50/30 ; G08G1/123 ; H04W4/30

Abstract:
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.
Public/Granted literature
- US20220358844A1 USING A PREDICTIVE REQUEST MODEL TO OPTIMIZE PROVIDER RESOURCES Public/Granted day:2022-11-10
Information query
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