Year: 2024
Type: article
Abstract: Customer engagement is undergoing a massive transformation due to the advent of machine learning technologies. Customer engagement applications with Machine Learning capabilities can shift through vast amounts of customer data and extract meaningful insights to help businesses forge deeper engagement with their customers. With the help of machine learning techniques, applications can offer customers personalized recommendations and predictive analytics capabilities, as well as the ability to analyze customers’ sentiments, resulting in business growth. This paper outlines the current state of customer engagement and its channels to further detail machine learning algorithms and how businesses can extend features towards improving customer engagement. And how businesses respond in a much more efficient way. As more businesses leverage ML to drive business strategies, the perspective of these capabilities on customer engagement is becoming essential to maintaining competitive advantage in this hyper digital ecosystem.
Authors: Murali Krishna Pendyala, Vishnu Varma Lakkamraju, Hareesh Makam, Paradarami Varun Reddy
Institutions: Adobe Systems (United States), Comcast (United States)
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407001543