METHODS AND SYSTEMS FOR TRACKING WORKER BENEFACTION AT AN ORGANIZATION
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United States of America
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Issued Date -
Feb 13, 2025
app pub date -
Aug 11, 2023
filing date -
Aug 11, 2023
priority date (Note) -
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Abstract
Data associated with actions performed by workers of an organization is identified from multiple sources associated with the workers or the organization. The identified data is provided as input to a machine learning model that is trained to predict, based on data indicating actions of workers, a benefaction level associated with the workers relative to other workers. One or more outputs are obtained from the machine learning model, which indicate a respective benefaction level for each of the workers. A determination is made of whether the respective benefaction level for a worker satisfies criteria associated with a goal defined by the worker and/or the organization. A database associated with the organization is updated to indicate whether the respective benefaction level for a worker satisfies the criteria associated with the goal defined by the worker and/or the organization.
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