Abstract:
An Estimated Wait Time (EWT) computing system for computing estimated wait time for customers in a contact center is provided. The EWT computing system includes an analysis module for analyzing each incoming contact to determine attributes corresponding to the incoming contact. The EWT computing system further includes a categorization module for categorizing the incoming contact based on the determined attributes and a past history of the incoming contact or similar contacts. The EWT computing system further includes a computing module for computing an estimated wait time for the incoming contact based on a category of the incoming contact and availability of suitable agents for handling the incoming contact. The EWT computing system further includes a reporting module for reporting the estimated wait time to the incoming contact.
Abstract:
An Estimated Wait Time (EWT) computing system for computing estimated wait time for customers in a contact center is provided. The EWT computing system includes an analysis module for analyzing each incoming contact to determine attributes corresponding to the incoming contact. The EWT computing system further includes a categorization module for categorizing the incoming contact based on the determined attributes and a past history of the incoming contact or similar contacts. The EWT computing system further includes a computing module for computing an estimated wait time for the incoming contact based on a category of the incoming contact and availability of suitable agents for handling the incoming contact. The EWT computing system further includes a reporting module for reporting the estimated wait time to the incoming contact.
Abstract:
A contact center, methods, and mechanisms are provided for dynamically scaling a contact center based on scaling triggers and monitored activity. The monitored activity includes information provided from one or more sources. This information serves to indicate whether a contact center activity is increasing, decreasing, or maintaining a steady-state. When the activity at a contact center is increasing, a scaling mechanism increases a number of resources provisioned to the contact center according to rules. When the activity at a contact center is decreasing, a scaling mechanism decreases a number of resources provisioned to the contact center according to rules. The scaling triggers are created, removed, modified, or otherwise classified as correlations between monitored activity and contact center scaling are observed.
Abstract:
A contact center, methods, and mechanisms are provided for dynamically scaling a contact center based on scaling triggers and monitored activity. The monitored activity includes information provided from one or more sources. This information serves to indicate whether a contact center activity is increasing, decreasing, or maintaining a steady-state. When the activity at a contact center is increasing, a scaling mechanism increases a number of resources provisioned to the contact center according to rules. When the activity at a contact center is decreasing, a scaling mechanism decreases a number of resources provisioned to the contact center according to rules. The scaling triggers are created, removed, modified, or otherwise classified as correlations between monitored activity and contact center scaling are observed.