Contact Center Self service Virtual Agent 
CCNG
DECEMBER 11, 2024
The short answer is ChatGPT will not replace Conversational AI, particularly for customer service and contact center use cases. Responses must be consistent and predictable Customer service deals with the same issues day in and day out. So, lets start with the basics for meeting those needs and where ChatGPT stands.
TechSee
FEBRUARY 20, 2018
Customer self-service refers to customer-initiated interaction technologies that enable customers to access information and perform routine tasks without requiring the assistance of a live customer service representative. Drivers for customer self-service.
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CCNG
AUGUST 28, 2024
While almost all industries are going digital, there’s one industry that is leading the charge in the digital revolution, i.e., Contact Centers. By rapidly embracing digital tools like AI, Analytics, and Automation, contact centers are completely changing how they function and deliver customer experience.
CCNG
JULY 17, 2024
If you received a penny for every time you heard “automation” or “AI” in the contact center, you could pay off the national debt in about a month. However, understanding the differences between these technologies is crucial for any organization striving to optimize operations in its contact center.
Speaker: Brian Morin & Helena Chen from SmartAction
Self-service is on the rise. Enter a conversational AI solution for your contact center. AI virtual agents can help resolve a lot of routine and repetitive interactions, but not all are created equal. More and more customers are looking to solve their own issues without human intervention.
AWS Machine Learning
DECEMBER 23, 2024
Interaction model The following are different customer experiences a caller may have depending on what they say and the transcription confidence scores returned by Amazon Lex: Conversation 1: Virtual Agent: Thank you for calling Acme Travel. Virtual Agent: In a few words, what is the reason for your call today?
TechSee
MARCH 19, 2019
Once upon a time, measuring customer service success was straightforward. Hire some agents, train them, and use standard contact center KPIs to measure how well they perform. With many of these channels and tools enabling self-service, old-school KPIs are no longer sufficient. New Self Service KPI Metrics.
Speaker: Tom Lewis, CEO of SmartAction
This means more and more companies are implementing cloud-based virtual agents that automate conversations traditionally handled by live agents, all of which can be done across several different channels. How to design “lanes” for virtual agents to outperform live agents. Tune in to discover: Where to start.
Speaker: Brian Morin, CMO, Mark Landry, VP Product, Marilyn Cassedy, Director of Customer Success, SmartAction
It just so happens that whenever we design and deploy a new AI-powered virtual agent over voice, the self-service application invariably falls into one of 5 distinct categories. This has been true for more than a hundred clients encompassing hundreds of use cases across 12 industries.
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Speaker: Sofia Burton & Tiffany O'Malley from SmartAction
Contact center leaders have faced an onslaught of burdens exacerbated by the pandemic. Agent attrition has always been a huge problem, but now the difficulties of the worker shortage make securing live agents for call centers highly competitive. Determining which calls are best for automation.
Speaker: Brian Morin, CMO, SmartAction & Aarde Cosseboom, Director of GMS Technology and Product, TechStyle Fashion Group
Adapting to a post-COVID world means recession-proofing your contact center with AI that reduces reliance on live agents with virtual agents that are always on, perfectly trained, and at a fraction of the cost. Also joining is SmartAction, who manages the AI-powered CX for more than 100 brands.
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