This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove ML Remove Touchpoint Remove Unstructured Data Related Topics
Structured Data Predictive Analytics AI Machine Learning Omnichannel Customer Retention NPS Artificial Intelligence Customer Expectations CRM More Related Topics >
article thumbnail

5 Reasons Why Traditional Retention Efforts Are Inadequate

VOZIQ

FEBRUARY 25, 2022

When the traditional customer retention model doesn’t operate as a whole, retention activities become fragmented across different channels and functions, making it challenging to leverage customer data from multiple touchpoints. The post 5 Reasons Why Traditional Retention Efforts Are Inadequate appeared first on VOZIQ AI.

Structured Data 40
Structured Data Unstructured Data Customer Retention ML 40
article thumbnail

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

Ameyo Callversations

APRIL 21, 2022

Next-gen technologies such as AI, ML, NLP, AR/VR, and more are capable of helping reduce cost and improving metrics such as revenues, wallet and market share, and steady cash flows. These span from a basic service around storage, networking, and computing to advanced frameworks for using AI and ML models.

Contact Center 52
Contact Center Technology Technology Unstructured Data 52
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 24,000+ Insiders by signing up for our newsletter

About
Webinars
About
Editions
Webinars
Editions
Topics
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024