ML-based agent staffing under uncertainty: The case of a call center for the deaf community
Samer Alsamadi  1@  , Cléa Martinez  1  , Franck Fontanili  1  , Canan Pehlivan  1  , Nicolas Cellier  1  
1 : IMT École nationale supérieure des Mines dÁlbi-Carmaux
Institut Mines-Télécom [Paris]

Operating within the stochastic environment of call centers governed by uncertain incoming volumes of calls, unknown call durations and a need for meeting the required customer demands with the available pool of agents, we decide to adopt a ML-based approach for agent staffing.


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