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Email Bots for Pega Customer Service
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Misión
Email Bots for Pega Customer Service
4 Módulos
3 Retos
2 horas 35 minutos
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Learn how Pega Email Bot™ can act as a virtual assistant to your customer service representatives. Reduce time spent categorizing and routing inbound...
Creating a case from email
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Módulo
Creating a case from email
2 Temas
20 minutos
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Pega Email Bot™ can improve email response by starting a service case based on the content of a customer email.
Routing email based on content
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Módulo
Routing email based on content
3 Temas
25 minutos
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Pega Email Bot can detect the topic or sentiment of an email and route the email to the appropriate operator or queue. Intelligent routing allows the...
Service requests
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Módulo
Service requests
9 Temas
50 minutos
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This module shows you how to create service requests using the Customer Service Request Template. Learn about the purpose, customization options, and...
Training the email bot
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Módulo
Training the email bot
2 Temas
20 minutos
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Pega Email Bot uses natural language processing (NLP) to analyze and learn from patterns of conversation between customer service representatives...
Creating a case from an email
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Reto
Creating a case from an email
4 Tareas
20 minutos
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Your customer, U+ Bank, wants to speed up email interactions for address changes by pre-populating cases with the correct values. For address change...
Creating a new service request
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Reto
Creating a new service request
4 Tareas
10 minutos
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U+ Bank wants to offer its employees lunch services by creating a service request in which employees can select and then submit what they want to eat...
Routing email based on content
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Reto
Routing email based on content
4 Tareas
15 minutos
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U+ is a major company in the financial industry that wants to improve engagement with customers. U+ has recently opened an email channel where...
Suggesting a reply based on email content
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Reto
Suggesting a reply based on email content
4 Tareas
15 minutos
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Your team asks you to update the Pega Customer Service™ email channel. The team wants to add a suggested reply for when a customer sends an email and...