Toronto-Dominion Bank had 24 patents in ecommerce during Q3 2023. The Toronto-Dominion Bank has filed several patents related to ambient commerce systems, predictive context aware systems, and incentive management applications. These patents describe technologies that involve sensors, processors, and memory to detect engagement of entities with certain items, determine eligibility for acquiring restricted items, track customer attributes and predict customer intent, and provide access to incentive management applications at different access levels. The patents also describe systems for storing data associated with bulk orders of incentives, authenticating computing devices, generating customized incentive interfaces, and displaying them on the computing devices. GlobalData’s report on Toronto-Dominion Bank gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Toronto-Dominion Bank grant share with ecommerce as a theme is 25% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Enabling feature based on a sensed condition at ambient commerce premises (Patent ID: US20230274247A1)

The patent filed by The Toronto-Dominion Bank describes an ambient commerce system. The system includes a sensor located at an ambient commerce premises, a processor connected to the sensor, and a memory connected to the processor. The memory stores instructions that, when executed, allow the processor to perform various functions. These functions include detecting engagement of an entity with a first item that meets certain criteria based on the sensor's output, identifying the entity, determining a resource parameter for the identified entity based on their account data, and generating a notification on the entity's electronic device if the resource parameter meets specific criteria.

The patent also includes several claims that further detail the features and capabilities of the ambient commerce system. These claims specify that engagement of the entity with the first item can be detected by monitoring the entity's presence within a geofence for the item, and the notification can be generated while the entity remains within the geofence. The first predetermined criteria for engagement can be satisfied if a value parameter for the first item exceeds a defined threshold or if a class parameter associated with the item matches a defined class. The resource parameter can indicate access to a borrowed resource, and the second predetermined criteria for generating a notification can be met if the entity has access to the borrowed resource. Alternatively, the resource parameter can represent a resource balance, and the second predetermined criteria can be satisfied if the resource balance exceeds a threshold determined based on the value parameter for the first item.

The patent also describes a method for implementing the ambient commerce system. The method involves detecting engagement of an entity with a first item that meets certain criteria based on the sensor's output, identifying the entity, determining a resource parameter for the identified entity based on their account data, and generating a notification on the entity's electronic device if the resource parameter meets specific criteria. The method can also include identifying a second item based on the first item from an item mapping database and including this information in the notification. The second item can be an alternative to the first item.

Overall, the patent describes an ambient commerce system that utilizes sensors, processors, and memory to detect engagement with specific items, identify entities, determine resource parameters, and generate notifications based on predetermined criteria. The system aims to enhance the ambient commerce experience by providing personalized notifications to entities based on their account data and resource parameters.

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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.