Remove Chatbots Remove Knowledge Base Remove Management Remove Virtual Agent
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How an Artificial Intelligence Chatbot Can Revolutionize Your Customer Support Operation

Solvvy

Chances are, the last time you called a customer support number, you interacted with an artificial intelligence chatbot. If the company had a great AI chatbot, the interaction might have been so natural that it took a while to realize that you weren’t actually talking to a human. Introduction to Artificial Intelligence Chatbots.

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Millennial Generation Customer Service – The Ultimate Guide

TechSee

Utilize robust self-service tools such as FAQs, AI-powered knowledge bases and virtual technicians to help them find answers by themselves quickly. According to a Retale poll, 86% of Millennials said that brands should use chatbots to promote products and services. AI-powered virtual agents.

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7 Knowledge Management Best Practices That Drive Great Customer Service

Uniphore

Why are so many knowledge bases inefficient to use when contact centers invest so much money in them? How can organizations more effectively direct customers to the knowledge they’re looking for? That’s simply too much time and a large portion of the blame lies with poor knowledge base management.

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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

If the speech engine is still having trouble understanding the caller, the auto-attendant may connect them with a human agent or ask the customer if they would prefer to converse in their native language. An NLP-powered virtual agent understands the semantics and context of keywords to respond more efficiently to mobile customer questions.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

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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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

If the speech engine is still having trouble understanding the caller, the auto-attendant may connect them with a human agent or ask the customer if they would prefer to converse in their native language. An NLP-powered virtual agent understands the semantics and context of keywords to respond more efficiently to mobile customer questions.

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12 Interesting Rounds of Funding for SaaS Customer Service platforms

CSM Magazine

To address these challenges, many businesses rely on software as a service (SaaS) platforms that offer customer service solutions, such as chatbots, ticketing systems, live chat, knowledge bases, feedback tools, and more. Company Website: siena.cx Company Website: smartaction.ai million in seed funding.