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What CTOs Should Know Before Implementing Conversational AI in the Contact Center

SmartAction

The customer connects with an AI-powered virtual agent that uses a trained and constantly optimized deep neural net, utilizing Natural Language Processing to understand the customer’s problems and intents. Our virtual agents can solve 80% to 90% of customer problems. This emphasizes ethical training and deployment.

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100+ Customer Service Statistics & Facts of 2019

ProProfs Blog

In 2017, 35% reported reaching out on social channels, up from 23% in 2014 and 17% in 2012. 30% of US consumers rate chatbot interactions as “very effective” in dealing with customer service issues. Takeaway: The use of self-service platforms or chatbots on the website has increased over a period of time. American Express.

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Customer Service in the Digital Age

CSM Magazine

Omni-channels, chatbots, artificial intelligence, and e-commerce represent new cornerstone technologies to achieve that goal. While retailers utilize a wide range of support options such as human and virtual agents, social media, or mobile apps, existing single and multi-channel support systems necessitate access to each channel separately.

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Contact Center Technologies 2017: find out what 23 experts say

RichCall

In fact this number increased from 67% in 2012 to 84% in 2015. In the worst case, if they were not able to solve their issue, the portal can include a click to call button where they are transferred to an agent and they don’t have to repeat all their information in order to get assistance. In 2011 Gartner predicted that. Lutz Remmers.