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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

Real-world use cases that demonstrate how artificial intelligence can help you gauge customer sentiment and which customers are at risk for cancellation are here. You have to be already gathering customer data in a relational database. Opinions shared on social media and review sites might be in the thousands daily.

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Revolutionizing CX Management with Customer Experience Analytics

Lumoa

As the volume of data companies collect grows and as artificial intelligence (AI) gets better, analytics is set to become a key differentiator for customer experience management. But they’re only one small piece of the customer experience data puzzle. Think about it. Thankfully, these days are behind us!

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Guest Post: Understanding Digital Customer Experience in Retail Industry

Shep Hyken

Encourage social media engagement and sharing of in-store purchase . petabytes of unstructured data from 1 million customers every hour. Develop better listeners and encourage storytelling . Balance the real and virtual buying experience, through a channel-agnostic, seamless experience with in-store digitization .

Retail 72
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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

A contact center is a facility where customer service representatives answer customer queries over phone calls, emails, chat, social media, and other channels. Apart from Conversational AI, Artificial intelligence projects will help employees or customer service agents be more productive by performing repetitive tasks.

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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” It’s all about artificial intelligence and machine learning.

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The beginner’s guide to competitive benchmarking and how to get started

Sprinklr

And without real-time data, you cannot effectively inform strategies to your customer care, paid media, social media, and digital marketing teams. Manual data collection. The volume and complexity of unstructured data is growing exponentially and brings new challenges. Slow adaptations to strategy.

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How to build a customer-centric product strategy using real-time product insights

Sprinklr

But, the way customers give that feedback has shifted dramatically to digital channels like review sites, social media, and chat apps. Meanwhile, new channels are popping up all the time, and the volume of unstructured data from these sources continues to grow and grow.