Mission
Email Bots for Pega Customer Service
Archived
4 Modules
3 Challenges
2 hrs 40 mins
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.
Available in the following mission:
Intelligent email
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Module
Intelligent email
Archived
3 Topics
20 mins
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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 Tasks
15 mins
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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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Module
Routing email based on content
Archived
3 Topics
25 mins
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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 Tasks
15 mins
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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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Module
Creating a case from email
Archived
2 Topics
25 mins
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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 Tasks
20 mins
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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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Module
Training the email bot
Archived
2 Topics
20 mins
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Pega Email Bot uses natural language processing (NLP) to analyze and learn from patterns of conversation between customer service representatives...
