Lyft had seven patents in digitalization during Q4 2023. Lyft Inc filed patents in Q4 2023 for a system that controls supply by predicting driver demand based on similar historic events and offering incentives to meet the demand. Another patent involves generating a global map using limited field-of-view cameras, where sequential image data is used to determine poses and overlapping poses to construct map portions. GlobalData’s report on Lyft gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Lyft grant share with digitalization as a theme is 57% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Driver supply control (Patent ID: US20230385978A1)

The patent filed by Lyft Inc. describes a system for supply control that utilizes historical event data to predict driver demand for expected events and determine incentives to meet that demand. The system involves receiving indications of expected events, analyzing historical data to select similar events, generating expected driver requests based on this data, selecting digital incentives, transmitting these incentives to drivers, monitoring user interactions, adjusting incentives based on responses, and updating the model based on driver yield.

The computer-implemented method and system outlined in the patent involve a detailed process of analyzing historical events, generating driver demand predictions, selecting incentives, and monitoring and adjusting the incentives based on user interactions. By utilizing historical data and a nonlinear incentive yield function, the system aims to efficiently manage driver supply in response to expected events. The patent also includes instructions for selecting similar historical events, combining data, transmitting incentives, and modifying notifications based on user responses, providing a comprehensive framework for supply control in the context of ride-sharing services.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.