Category: Cognitive Search for Customer Support

Solving Customer Issues with Intelligent Answers and Insights

When it comes to customer support, the entire process is built on a simple idea: when someone communicates a problem, the representative dealing with the case uses their dashboard to review, work, resolve, and close a ticket. This ticket then remains open until the issue is closed, along the way acting as a repository for information about that particular request or problem. 

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How to make the most out of your customer support interactions

There are plenty of reasons why you want to keep you customers happy: Happy customers make great “brand ambassadors.” The cost of attracting a new customer is higher than retaining an existing one. Today’s social media makes it possible for an unhappy customer to do harm in the marketplace. Etc. 

 

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How Customer Experience will Save Your Brand

In a world in which anyone can order any product at any time with just the click of a mouse, the once dominant differentiators of price and product are quickly disappearing. In fact, it’s predicted that in just two years, customer experience will become the key competitive advantage for any organization, no matter the product or service.

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The Broken Promises of Federated Search

Some time ago, people looking for answers to solve business problems realized that the information they sought resided in different places. It could have been in a file system, on an intranet, on the web, or in a proprietary database associated with a specific line-of-business application. What could be done to make sure employees and customers had a way to search once and get answers back from any source?

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In Customer Support, Every Minute Matters

This article first appeared on KMWorld (gated).  

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Beyond the Chatbot: How AI Can Turn On Your Customer Support

With customer support & service at the forefront of the brand battle, it's no wonder that companies are turning to artificial intelligence (AI) for help. The customer churn caused by poor customer service is $62 billion problem, so finding ways to speed response time is no small matter. 

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[Infographic] Millennials Expect More from Customer Support

By 2020 Millennials are projected to comprise more than half of the modern workforce.

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[Infographic] AI-Powered Search for Customer Support

Your customers have multiple channels by which they can seek support for issues, problems, and questions. This could be self-service through an online portal, via social media or online chat, or through more traditional means like phone and email. In recent reports, 70% of consumers prefer to resolve problems and issues via self-service; however, 65% of self-service attempts fail. Self-service is the most cost-effective channel, so companies are looking for means to deflect routine and simple issues from the call center by enabling customers to solve their problems on their own.

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How Machine Learning Understands Machines

Here in Massachusetts, we find ourselves surrounded by beautiful old mill buildings that act as a constant reminder of how our nation’s history is built on manufacturing. In the early days of the industrial revolution, water powered the mills that produced the products the young nation needed to move forward.  

Even today, with tech companies all around us, we know that machines continue to power the world. They move us from place to place, whether that’s a car, train, airplane, or ship. They provide the power we need and till the soil to provide the food we eat.  

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How AI-Powered Search Drives Better Customer Support

Most customers don’t like calling customer support. It takes too long to get the answers they want, and they walk away feeling exasperated. Many organizations find themselves frustrated with their customer support experience as well. They know they need to provide a better, seamless experience for their customers, but they are challenged with information silos, an incomplete view of the customer, and a support team that has to hunt and peck to find the right information.

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