Remove 2021 Remove Customer Expectations Remove ML
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Nowhere to Go But Up: Bold AI Predictions for 2022

Uniphore

And if tech companies aren’t bridging into more traditional industries, they are enabling more conventional counterparts with the technologically advanced tools that our modern customers expect. What a wild ride the 2020 and 2021 holiday seasons were. Supply Chains will Automatically Adjust to Meet Demand.

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Current Status of Speech (and Text) Analytics

DMG Consulting

But it’s only in the last 18 months that AQM solutions are seeing significant adoption, due to innovations in the area of artificial intelligence (AI) and machine learning (ML). Analytics-enabled QM has been talked about for at least 12 years and has been available to some degree for 10 of them.

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Handpicked Resources for Customer Retention Leaders – March Edition

VOZIQ

A 20% annual churn rate would mean 200,000 customer cancellations and $10 million per year in lost revenue. Three Ways ML Can Help w ith Customer Retention. S ome customers are more valuable than others. The hard part is determining which valuable customers are happy and which are on the verge of leaving.

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Handpicked Resources for Customer Retention Leaders – March Edition

VOZIQ

A 20% annual churn rate would mean 200,000 customer cancellations and $10 million per year in lost revenue. . Three Ways ML Can Help w ith Customer Retention . S ome customers are more valuable than others. The hard part is determining which valuable customers are happy and which are on the verge of leaving.

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A tale of two contact centres: Omnichannel versus multi-channel 

Logicalware

Omnichannel is advantageous for several reasons, but most importantly because customers expect it. Customers today want the convenience of contacting businesses on their preferred channel and the ability to easily pick up the conversation where they left off.

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2023 in review: Highlights from this year’s best conversations

Intercom

Same with customer expectations of the tech. We’re probably only a year away from people expecting to be able to expand on text within a text field, as one simple example. Liam: That’s interesting to hear you say because I thought your training data cut off in 2021. That’s not how ML works.

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