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The Chatbot & Virtual Agent Experts Have Spoken: Experience Matters

Creative Virtual

We take great pleasure in introducing this newly created whitepaper from Creative Virtual as it has a lot of straight talk about one of our favourite subjects: user experience in the realm of self-help tools. This is the sort of invaluable consultation experience you will receive when you work with the right virtual agent vendor.

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Building a Cohesive Virtual Agent and Live Chat Solution

Creative Virtual

Virtual agents. Some of you may remember the days when companies wanting to implement customer support on their website believed they had to make a decision: either a virtual agent or live chat; either automated self-service or human-assisted web chat. Adding a virtual agent to an existing live chat deployment.

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Virtual Agents vs. Live Agents: The Battle for CSAT

SmartAction

That’s where the use of an AI-powered virtual agent comes in — for a fraction of the cost of a human agent, an intelligent virtual agent (IVA) is available to assist customers 24 hours a day, 365 days a year. When it comes to customer satisfaction, how do virtual agents compare with live agents?

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AI-based call center: How do they work?

NobelBiz

It enhances the efficiency and effectiveness of the services provided and improves the working conditions for agents and satisfaction for customers. With capabilities like sentiment analysis, AI can detect customer moods and adjust interactions accordingly, ensuring that the customer feels heard and understood throughout their journey.

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AI-based call center: How do they work?

NobelBiz

It enhances the efficiency and effectiveness of the services provided and improves the working conditions for agents and satisfaction for customers. With capabilities like sentiment analysis, AI can detect customer moods and adjust interactions accordingly, ensuring that the customer feels heard and understood throughout their journey.

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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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Optimizing Order Management: Best Practices for Automating Order Management

SmartAction

Designing Customer-Centric Order Management Automation Understanding Customer Needs To build an automated system that truly resonates with your customers, begin by conducting a thorough analysis of customer behavior and preferences. This allows virtual agents to provide personalized updates.