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公开(公告)号:US20230394388A1
公开(公告)日:2023-12-07
申请号:US17832746
申请日:2022-06-06
Applicant: NICE LTD.
Inventor: Disha AGRAWAL , Swapnil THAKARE , Gaurav SURYAWANSHI , Brijesh UPADHYAY
CPC classification number: G06Q10/06311 , G06Q10/06398 , H04M3/5175 , H04M2203/401 , H04M2203/402
Abstract: A computerized-method for increasing productivity of agents in a contact-center by improving an automatic-scheduling generation in a Workforce-Management (WFM) application, is provided herein. The computerized-method includes operating an Agent-Productivity-Score-Generator (APSG) module, for each agent. The APSG module includes: (i) receiving an activity-type and a period for agents shift-placement; (ii) retrieving historical-data of a preconfigured number of metrics for each scheduled-shift during a preconfigured period; (iii) calculating a weighted-sum of the retrieved historical-data of the preconfigured number of metrics and preconfigured attributed weight thereof to yield an Agent-Productivity-Score (APS) for each shift; and (iv) selecting a shift having a highest APS and adding the selected shift of the agent to a list-of-maximum-shifts. When the list-of-maximum-shifts is having all agents in a data-store then the list-of-maximum-shifts may be sent to the WFM for an automatic shift-schedule generation for the activity-type and a preconfigured period, based on the list-of-maximum-shifts and other input parameters.
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公开(公告)号:US20250078009A1
公开(公告)日:2025-03-06
申请号:US18458553
申请日:2023-08-30
Applicant: NICE LTD.
Inventor: Swapnil THAKARE , Gennadi LEMBERSKY , Brijesh UPADHYAY , Abhijit MOKASHI
IPC: G06Q10/0639 , H04M3/51
Abstract: Systems adapted to measure impact of supervisor actions and methods, and non-transitory computer readable media, include identifying an interaction where a contact center supervisor performed a supervisor action, where the supervisor supervised a contact center agent; identifying a supervisor intervention point in the interaction; determining an impact score for each of a plurality of behavioral factors; aggregating the impact scores for the plurality of behavioral factors and determining an average of the impact scores to provide an overall impact score for the supervisor action; and performing an action automatically based on the overall impact score to improve contact center performance.
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