DoorDash had three patents in artificial intelligence during Q4 2023. DoorDash Inc’s patents filed in Q4 2023 focus on methods for optimizing delivery operations. One patent involves identifying adverse delivery zones in a geographical area and taking additional actions to ensure successful deliveries in those zones. Another patent involves using machine learning to analyze data on service providers and predict their rank and value based on various features. These innovations aim to enhance efficiency and effectiveness in the delivery process. GlobalData’s report on DoorDash gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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DoorDash grant share with artificial intelligence as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: System and method for address verification (Patent ID: US20230401527A1)

The patent filed by DoorDash Inc. describes a method implemented by a server computer to manage deliveries in adverse zones within a geographical area. The server computer receives delivery data, identifies adverse delivery zones, and determines if a specific delivery location falls within these zones. If the location is in an adverse zone, the server computer takes additional actions to ensure successful delivery to the end user, such as prompting for more information or providing data to transporter user devices. The method utilizes machine learning models and transporter movement data to define adverse zones and improve delivery success rates.

Additionally, the patent outlines the use of location coordinates to define boundaries for adverse delivery zones, with each set of coordinates represented by a hexagon. The server computer also interacts with transporter user devices to accept or reject fulfillment requests based on the location's status within an adverse zone. Furthermore, the system described in the patent involves end user devices, transporter user devices, and the server computer working together to optimize delivery processes in challenging areas, ensuring successful and efficient item delivery to end users despite adverse conditions.

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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.