Remove Customer Experience Remove Predictive Analytics Remove Unstructured Data
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

[link] Introduction: Todays businesses face a pivotal question: can emerging technologies like AI and real-time data platforms reduce or even replace the need for traditional customer surveys in managing customer experience (CX)? AI can infer customer sentiment from what theyre already saying or writing.

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Contact Centre Predictions for 2020

Callminer

An ability to capture conversational data across existing communication systems and then correlating insight within a common analytics platform offers a cost-effective means for blending omnichannel insight. Predictive Analytics Will Drive a Better Customer Experience.

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The Future of Customer Experience: Embracing AI, Predictive Analytics

SurveySensum

The future of customer experience is no longer being driven just by who is making a better product but also by who will create a better and more memorable experience. The future now stands on four pillars – data, AI, personalization, and convenience. Now how to resolve these issues?

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

However, traditionally customer interactions and agent performance at this touchpoint were handled manually which often leads to inefficiencies and missed opportunities when it comes to streamlining this touchpoint and improving customer experience. That’s where contact center analytics comes into play.

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

Superior call center technology, which leverages AI and omnichannel communication, enables companies to route incoming calls to the right agents and departments as well as to give faster and superior service to customers. That mainly happens when customers don’t get connected to the right agents at the very outset.

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Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

Text Analytics Tools. What Are Text Analytics Tools? In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. Lets find out more.

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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

One of the major applications of text analytics is to shift through thousands of reviews and conversations on social media to extract relevant information and recurring pain points, enabling brands to take action in real-time and boost their customer experience and engagement digitally.