SmartAction
NOVEMBER 15, 2023
In today’s fast-paced business landscape, customer self-service has become a pivotal aspect of delivering exceptional customer experiences. As we look towards 2024, the world of customer self-service is at a crossroads, with new challenges and opportunities on the horizon. Key Trends in Customer Self-Service 1.
AWS Machine Learning
MARCH 31, 2023
The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. Gartner’s Customer Service and Support Leader poll estimates that live channels such as phone and live chat cost an average of $8.01
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Solvvy
NOVEMBER 30, 2022
Zoom Virtual Agent , an intelligent conversational AI chatbot solution, uses natural language processing and machine learning to accurately understand and painlessly resolve issues for customers. Zoom Virtual Agent works 24/7 on multiple support channels to deliver fast, personalized customer experiences.
Interactions
AUGUST 29, 2022
Virtual agents have come a long way. And while some companies are certainly still using automated systems from the dark ages, forward-thinking brands have taken advantage of advancements in technology for big steps forward in customer experience self-service. . But what’s next? Here’s what we found out. .
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.
CCNG
APRIL 12, 2024
You can program them or simply have them fetch the data to implement in your contact center. This is an example of static data. Where AI can help your self-service option is by learning from customer inquiries as you go. Possibly you have customer and conversational data already.
SmartAction
APRIL 1, 2021
AI-powered virtual agents have come a long way since the days of “Press 1 for billing. Press 2 for enrolling in new energy service.” This allows AI-powered virtual agents to follow complex dialogue at the rate of normal conversation — yes, even alphanumerical interactions, the most challenging type to capture.
Speaker: Brian Morin, CMO & Mark Landry, VP of Product at SmartAction
In a world where top businesses are always battling for the best technology, you have to ensure that your virtual agent's design is the best in the competition. How data + business logic keeps virtual agents in their "swim lane". But how do you do this? Schematics of successful interactions.
Speaker: Brian Morin, CMO, SmartAction & Patty Kleinfeldt, Director of Q&E, AAA
One of the most trusted brands in the world, AAA, took the most critical aspect of their Customer Experience and handed it over to an AI-powered virtual agent for omnichannel self-service. The secret of data + business logic to keep virtual agents in their "swim lane".
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If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.
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