Tags: artificial-intelligence*

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  1. There's a lot of buzz about artificial intelligence (AI) right now, and when you consider the possible applications of AI in customer experience (CX) measurement, the excitement seems justified. Just think of companies like Affectiva that measure emotions in facial expressions. If we can measure how customers actually feel about their experiences, we can finally measure what matters most to customer loyalty.
    http://www.destinationcrm.com/Articles/CRM-News/CRM-Featured-Articles/Customer-Experience-Effective-CX-Measurement-Requires-a-CX-Culture-121718.aspx/
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  2. Imagine possessing the ability to resolve a problem for your customer before she had a chance to contact your company to complain. Alternately, by aggregating the customer’s interactions with your company and purchase history, your marketing solution identifies her as the perfect candidate for your new product and sends her a promotion. These are the promising ways in which artificial intelligence (AI) can improve the customer experience.
    http://www.destinationcrm.com/Articles/CRM-News/CRM-Featured-Articles/Customer-Experience-How-Artificial-Intelligence-Can-Help-Transform-Customer-Engagement-and-Sales-123447.aspx/
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  3. The true value of IoT lies in its ability to revolutionize user experiences, whether that is in your home, in the office, within your car or even as you walk down a sidewalk. Embedded sensors are generating the data that is powering a new revolution for business and their consumers — the power of customer experiences, or CX. As various industries face commoditization on a grander scale than ever before, CX has become the prime differentiator in driving differentiation and consumer purchases. Modern businesses must reprioritize around CX to optimize on costs and provide better user experiences, ultimately driving customer and brand loyalty.
    http://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/How-AI-is-transforming-customer-experiences-and-the-role-of-APIs/
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  4. 80% of companies consider customer experience to be one of their most powerful competitive differentiators. In order to keep pace and be a disruptor in this digital customer experience battlefield, you should consider tapping into artificial intelligence. Machines and algorithms have become increasingly smart, to an extent that they can pick up the slack and speed up different business processes.

    In this guest post, Qeedle’s Michael Deane shares some of the most effective ways AI-based automation tools can help you wow your customers.
    https://mopinion.com/how-can-ai-based-automation-tools-improve-customer-experience/
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  5. Here are four examples of brands, from Sephora to the NBA’s Sacramento Kings, that have successfully pivoted to a mobile-first world, implementing strategies that include a range of targeting techniques such as location-based marketing, personalization, push notifications, and even augmented reality and artificial intelligence.
    http://www.adweek.com/digital/4-brands-explain-how-their-apps-improve-customer-experience/
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  6. Artificial Intelligence (AI) has caught everyone's attention in recent years, mainly because of its disrupting nature which gives it enormous potential with countless applications.

    Among the many possibilities that AI promises, customer experience (CX) is an area that offers immense opportunity for organisations to differentiate.
    https://biplatform.nl/1863618/is-artificial-intelligence-the-future-of-customer-experience.html/
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  7. Unless you’ve been living under a rock, you’ve probably noticed that the term ‘artificial intelligence’ is being thrown around just about everywhere. It has become a major corporate buzzword and hype, especially among digital marketers. Meanwhile half of us still don’t really know what it means or better yet, what it can do for our business. That’s why we’re here to tell you specifically what AI can do for you and how it can make your customer feedback more actionable.
    https://mopinion.com/customer-feedback-artificial-intelligence-ai/
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  8. Mopinion released a new machine learning technology within its digital feedback analytics platform: automatic feedback categorisation. This technology employs machine learning techniques that make the analysis of qualitative feedback data – by way of labeling and categorisation – a much more fluid and systematic process.
    https://mopinion.com/machine-learning-technology-for-advanced-feedback-categorisation/
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  9. Nationwide, which banks 15 million customers in the UK, has enlisted AI from analytics firm SAS to analyze customer interactions more effectively and resolve issues earlier, per Finextra.

    Nationwide's deployment of AI comes amid growing digital transformation efforts from incumbent lenders as they look to reduce operational costs and improve how they service customers. In September 2018, for example, Nationwide announced its intention to step up its digital transformation, saying it would invest a further £1.3 billion ($1.7 billion) on technology, taking its total tech investment over the next five years to £4.1 billion ($5.4 billion).

    Here's how Nationwide deployed AI to identify customer pain points and strategize to resolve issues:
    https://www.businessinsider.com/nationwide-sas-ai-customer-experience-2019-3?international=true&r=US&IR=T/
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  10. We live in an age of constant distraction. Screens light up with countless notifications in a day, and with consumers bombarded by a steady stream of information -- from their sister, their boss, their doctor’s office -- brands today are fighting even harder to cut through the noise. Now more than ever, companies should make the most of customer interactions, capitalizing on valuable moments when consumers make time to reach out to them.

    At the same time, the customer service industry is undergoing massive change. Companies are moving to omnichannel customer care, and emerging technologies like artificial intelligence (AI) are reshaping the industry through intelligent robots and assistants. Especially now that contact centers can leverage AI to field customer inbounds, taking some of the pressure off of bandwidth concerns, the focus on familiar metrics like average handle time (AHT), first-call resolution (FCR) and adherence to schedule is shifting.
    https://www.forbes.com/sites/forbescommunicationscouncil/2019/03/12/take-your-customer-experience-beyond-traditional-metrics/
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