US 10,891,571 B2
Task management platform
Aditya Relangi, Irving, TX (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Aug. 23, 2018, as Appl. No. 16/110,982.
Prior Publication US 2020/0065736 A1, Feb. 27, 2020
Int. Cl. G06Q 10/06 (2012.01); G08G 1/01 (2006.01); G06N 20/00 (2019.01); G06F 16/951 (2019.01)
CPC G06Q 10/06316 (2013.01) [G06F 16/951 (2019.01); G06N 20/00 (2019.01); G06Q 10/0633 (2013.01); G06Q 10/0639 (2013.01); G08G 1/0137 (2013.01)] 20 Claims
OG exemplary drawing
1. A device, comprising:
one or more memories; and
one or more processors, operatively connected to the one or more memories, to:
receive, from a user device, a request for a recommendation identifying one or more tasks to be performed, of a set of tasks that are part of a job for an organization,
wherein the set of tasks are associated with managing a set of applications for a product or a service,
each application, in the set of applications, being associated with at least one individual applying for the product or the service;
obtain, after receiving the request, application status data for the set of applications;
generate, by processing the application status data, data identifying a set of application status metrics for a group of sites where prospective clients are able to submit particular applications;
obtain events data identifying real-time events associated with the group of sites,
wherein the events data includes at least one of:
traffic data identifying foot traffic or vehicle traffic within the group of sites, or
external events data identifying events that are external to the group of sites and that are likely to influence the foot traffic or the vehicle traffic within the group of sites;
generate the recommendation by using a data model that has been trained using one or more machine learning techniques to process the data identifying the set of application status metrics and the events data,
wherein the one or more processors, when generating the recommendation, are to:
provide the data identifying the set of application status metrics and the events data as input to the data model to cause the data model to output a set of priority values for the set of tasks,
 wherein the set of priority values are based on a likelihood of the events data delaying particular tasks from being performed;
process the set of priority values to identify a highest-available priority value; and
generate the recommendation based on the highest-available priority value;
provide the recommendation for display on an interface of the user device; and
perform, after providing the recommendation to the user device, one or more actions associated with assisting in performance of at least one of the one or more tasks.