Mission
Email Bots for Pega Customer Service
Archived
4 Module
3 Challenges
2 Std. 40 Min.
Learn how Pega Email Bot™ can act as a virtual assistant to your customer service representatives. Reduce time spent categorizing and routing inbound emails and provide quicker, more efficient responses to customer requests. As the Pega Email Bot learns from processing emails, you can completely automate some email cases.
In der folgenden Mission verfügbar:
Intelligent email
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Modul
Intelligent email
Archived
3 Themen
20 Min.
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Learn how Pega Email Bot™ leverages Pega’s industry-leading natural language processing (NLP) and process automation to interpret, route, audit, and...
Suggesting a reply based on email content
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Challenge
Suggesting a reply based on email content
Archived
6 Aufgaben
15 Min.
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Your team asks you to update the Pega Customer Service™ email channel. You need a suggested reply for when a customer sends an email and there is some...
Routing email based on content
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Modul
Routing email based on content
Archived
3 Themen
25 Min.
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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...
Routing email based on content
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Challenge
Routing email based on content
Archived
4 Aufgaben
15 Min.
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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...
Creating a case from email
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Modul
Creating a case from email
Archived
2 Themen
25 Min.
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Pega Email Bot™ can improve email response by starting a service case based on the content of a customer email.
Creating a case from an email
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Challenge
Creating a case from an email
Archived
4 Aufgaben
20 Min.
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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...
Training the email bot
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Modul
Training the email bot
Archived
2 Themen
20 Min.
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Pega Email Bot uses natural language processing (NLP) to analyze and learn from patterns of conversation between customer service representatives...