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Guest Post: The Future of The Customer Experience: Understanding the Impact of Data Analytics on Your Customers

ShepHyken

This week, we feature an article by Miika Makitalo, CEO of HappyOrNot , the company behind the Smiley Touchâ„¢ customer experience improvement solution and a leader in data analytics. He discusses how feedback and data analytics can make or break the customer experience. The customer experience has come a long way in the past decade.

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10 Must-have Chatbot Features That Make Your Bot a Success

CSM Magazine

In today’s always on economy, customer experience managers face the challenge of meeting consumer expectations round-the-clock. Enter chatbots – the tireless, automated assistants revolutionizing customer service. Multi-Channel Integration Today’s customers are on multiple platforms, and so should your chatbot be.

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Why Are Chatbots a Great Tool For Strategically Using Marketing Automation & AI ?

OctopusTech

As automation revolutionizes business operations, Chatbots have become a powerful marketing tool. Chatbots are artificial intelligence-powered virtual assistants that simulate human conversations with customers through messaging apps. How do artificial intelligence Chatbots work? But how do AI Chatbots work?

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. To assist those who may be starting with a blank canvas, Amazon Lex provides the Amazon Lex automated chatbot designer.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Cutting Through the Buzzwords of AI in the Contact Center

CCNG

There are many types of AI, however, 95% of AI is being utilized effectively and most of the innovation in the contact center is based on Generative and Analytical. Analytical AI analyzes large amounts of data and processes quickly, sometimes in real-time, and creates actionable insights from that data.

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Optimizing Order Management: Best Practices for Automating Order Management

SmartAction

Having a strong order management strategy can be a key differentiator for businesses. Businesses who thrive at building robust, complete customer journeys harness the power of automation to build self-service solutions in their order management strategy. This feedback will be instrumental in refining your automation system.

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Study: The Health of the Contact Center

What does it take to engage agents in this customer-centric era? Download our study of 1,000 contact center agents in the US and UK to find out what major challenges are facing contact center agents today – and what your company can do about it.

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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.

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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.