DoorDash had five patents in artificial intelligence during Q2 2024. DoorDash Inc’s patents filed in Q2 2024 focus on a system that receives images and location data from agent devices to determine a consensus delivery location using machine learning. Another patent describes a method where a server computer selects an image from a plurality of images associated with service providers based on a scoring algorithm, and provides it as a response to an inquiry request from an end user device. GlobalData’s report on DoorDash gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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DoorDash had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Generating mapping information based on image locations (Patent ID: US20240203120A1)

The patent filed by DoorDash Inc. describes a system that receives images and location data from agent devices associated with delivery locations. These images are input into a machine-learning model to determine if they contain enough information. Based on this determination, the system calculates a consensus location for the delivery location by averaging or clustering the location information from the images. This consensus location is then stored as mapping information for the delivery location. The system can also handle feedback about missing or misplaced items, adjust location data accordingly, and prompt for additional images if needed.

Additionally, the system can receive requests for delivery items, retrieve the consensus location for mapping, and train the machine learning model using past delivery images for densely populated areas. The threshold amount of information includes the delivered item and details like entrance, door, or unit numbers. The patent covers a method and a non-transitory computer-readable medium maintaining instructions for configuring processors to perform these operations, ensuring accurate and efficient mapping of delivery locations based on image data and location information.

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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.