Artificial intelligence systems and methods configured to predict team management decisions
AssigneeState Farm Mutual Automobile Insurance Company
InventorsMichael Shawn Jacob, Manali Desai, Leah Garcia, Oscar Allan Arulfo
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Abstract
A task management platform generates an interactive display tasks based on multi-team activity data of different geographic locations across a plurality of distributed guided user interfaces (GUIs). Additionally the task management platform uses a distributed machine-learning based system to determine a suggested task item for a remote team based on multi-team activity data of different geographic locations.
Claims20
A machine-learning based system for presenting a suggested task via a graphical user interface (GUI), the system comprising:
- a dashboard application configured to execute on a client device of a first user, the dashboard application being in communication with a server over a computer network;
- wherein, the server is configured to execute instructions to:
- train a machine-learning model to suggest tasks based on (1) first activity data defining a first set of tasks of a first plurality of users other than the first user, and (2) trigger data that triggered generation of one or more tasks from among the first set of tasks of the first plurality of users,
- receive, via the computer network, from the dashboard application, second activity data defining a second set of tasks of a second plurality of users other than the first user, the second plurality of users being associated with the first user,
- generate a suggested task for assignment by the first user to at least one user among the second plurality of users, wherein the suggested task is determined by the trained machine-learning model based on the second activity data, and
- provide, to the dashboard application at the client device of the first user, the suggested task to cause the dashboard application to display a drag-and-drop interface to enable the first user to assign the suggested task to a selected user from among the second plurality of users via one or more drag-and-drop interactions with the GUI.
A machine-learning based method for presenting a suggested task to a first user via a graphical user interface (GUI), the method comprising:
- training a machine-learning model to suggest tasks based on (1) first activity data defining a first set of tasks of a first plurality of users other than the first user, and (2) trigger data that triggered generation of one or more tasks from among the first set of tasks of the first plurality of users,
- receiving, via a computer network, from a dashboard application, second activity data defining a second set of tasks of a second plurality of users other than the first user, the second plurality of users being associated with the first user,
- generating a suggested task for assignment by the first user to at least one user among the second plurality of users, wherein the suggested task is determined by the trained machine-learning model based on the second activity data, and
- providing, to the dashboard application at a client device of the first user, the suggested task to cause the dashboard application to display a drag-and-drop interface to enable the first user to assign the suggested task to a selected user from among the second plurality of users via one or more drag-and-drop interactions with the GUI.
One or more non-transitory computer readable media storing instructions that, when executed by one or more processors of a computing device, causes the computing device to:
- train a machine-learning model to suggest tasks based on (1) first activity data defining a first set of tasks of a first plurality of users other than the first user, and (2) trigger data that triggered generation of one or more tasks from among the first set of tasks of the first plurality of users,
- receive, via a computer network, from a dashboard application, second activity data defining a second set of tasks of a second plurality of users other than the first user, the second plurality of users being associated with the first user,
- generate a suggested task for assignment by the first user to at least one user among the second plurality of users, wherein the suggested task is determined by the trained machine-learning model based on the second activity data, and
- provide, to the dashboard application at a client device of the first user, the suggested task to cause the dashboard application to display a drag-and-drop interface to enable the first user to assign the suggested task to a selected user from among the second plurality of users via one or more drag-and-drop interactions with a graphical user interface.
Dependencies are inferred from the claim text.