US 9,811,791 B2
Personalized work planning based on self-optimizing role-based crowd-sourced information
Dennis Koerner, Karlsdorf-Neuthard (DE); and Andreas Linke, Rauenberg (DE)
Assigned to SAP SE, Walldorf (DE)
Filed by Dennis Koerner, Karlsdorf-Neuthard (DE); and Andreas Linke, Rauenberg (DE)
Filed on Dec. 23, 2014, as Appl. No. 14/581,018.
Prior Publication US 2016/0180279 A1, Jun. 23, 2016
Int. Cl. G06F 3/06 (2006.01); G06Q 10/06 (2012.01); G06Q 50/00 (2012.01)
CPC G06Q 10/063114 (2013.01) [G06Q 10/06393 (2013.01); G06Q 50/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for personalized planning based on crowd-sourcing, the system comprising:
at least one processor;
a non-transitory computer-readable medium configured to store executable instructions that when executed by the at least one processor are configured to implement:
a crowd-sourced database configured to store self-optimizing crowd-sourced information, the self-optimizing crowd-sourced information including role-based task data and task-tracking information;
a data collector configured to collect task-related data specific to a user from a plurality of connected data sources including personal data sources and work-specific data sources;
a planning optimizer configured to determine a task list providing upcoming tasks to complete based on an analysis of the task-related data in view of the role-based task data and the task-tracking information, the planning optimizer configured to obtain a task from other users having a same role as the user based on the role-based task data, the planning optimizer configured to determine a suggested activity for completing the task based on the task-tracking information, the planning optimizer configured to provide the task list to the user via a user interface; and
a task selector configured to invoke an external system for completing the task in response to a selection of the task from the task list, the external system being one of the plurality of connected data sources.