Abstract: A server computer system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to obtain a list of incentives associated with a bulk order of incentives and electronic addresses of recipients of the incentives; assign one or more of the incentives to one or more of the electronic addresses; send, via the communications module and to the one or more of the electronic addresses, the incentives; and monitor an error log to confirm successful delivery of the incentives.

Abstract: A server computer system comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to receive, via the communications module and from a computing device, authentication information to access an incentive management application; determine, based on the authentication information, an access level to access the incentive management application, the access level selected from an administration access level, a provider access level, or a purchaser access level, the administration access level assigned to one or more administration accounts and providing full access to the incentive management application, the provider access level assigned to one or more provider accounts and providing access to manage and fulfill incentive orders, and the purchaser access level assigned to one or more purchaser accounts and providing access to place and tra

Abstract: The disclosed embodiments include computer-implemented systems and methods that predicts targeted, agency-specific recovery events using a trained machine-learning or artificial-intelligence processes. For example, an apparatus may generate an input dataset based on elements of interaction data associated with an occurrence of a first event. Based on an application of a trained artificial intelligence process to the input dataset, the apparatus may generate elements of output data indicative of an expected occurrence of a corresponding one of a plurality of targeted second events involving each of a plurality of candidate event assignments during a future temporal interval. The apparatus may transmit at least a portion of the generated output data to a computing system via the communications interface, the computing system may perform operations that assign the first event to a corresponding one of the candidate event assignments based on the elements of output data.

Abstract: A pickup apparatus includes a plurality of pickers sliding along a first direction and a space adjuster including a plurality of space adjusting plates. Each picker includes a protruding portion combined with a picker body, and each of the space adjusting plates is between a respective pair of adjacent pickers. The protruding portion of each picker contacts sidewalls of adjacent space adjusting plates. At least one of the space adjusting plates moves along a second direction crossing the first direction. A width in the first direction of each space adjusting plate varies along the second direction.

Abstract: A pickup apparatus includes a plurality of pickers sliding along a first direction and a space adjuster including a plurality of space adjusting plates. Each picker includes a protruding portion combined with a picker body, and each of the space adjusting plates is between a respective pair of adjacent pickers. The protruding portion of each picker contacts sidewalls of adjacent space adjusting plates. At least one of the space adjusting plates moves along a second direction crossing the first direction. A width in the first direction of each space adjusting plate varies along the second direction.