Lumoa
JANUARY 24, 2024
After that frustrating experience, I had a newfound appreciation for customers who have to deal with unresponsive customer experience (CX) teams that fail to act on customer feedback! Just like a hapless tourist, customers are eager to share details of their experience. An organization that can act on feedback.
Execs In The Know
OCTOBER 9, 2022
Are artificial intelligence (AI) and machine learning (ML) buzzwords or a practical reality for your contact center? Capture customer sentiment and learn from it. Capture customer sentiment and learn from it. Contact centers are an organization’s window into customer feedback, trends, and sentiment.
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Lumoa
NOVEMBER 21, 2023
But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. But it is one thing to claim that a business values customer feedback and another to sift out the actionable data.
Lumoa
JANUARY 15, 2024
This article will explore ways to leverage conversational commerce to improve customers’ experiences with your brand. Conversational commerce is all about interacting with customers through various communication tools, like live chat, chatbots, and contact centers. What’s more, some customers still prefer to speak with a human.
Lumoa
JANUARY 8, 2024
And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). AI tools are changing the way we analyze customer feedback.
Intercom, Inc.
SEPTEMBER 9, 2022
In CX, neural networks will likely be used with more traditional machine learning methods to choose actions that provide the best interaction possible with the customer. While it’s likely that more realistic claims close fewer accounts, it pays off in customer retention. Do you think teams should have embedded ML engineers?
DMG Consulting
NOVEMBER 1, 2022
Today’s artificial intelligence (AI)-enabled KM solutions take it a step further by proactively delivering context-aware knowledge articles to agents so they can provide accurate, consistent, and efficient responses to customers. The more innovative KM solutions now apply ML to identify redundant, outdated, and missing content.
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