Machine Learning Algorithms and its Impact on Customer Engagement |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-11 |
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| Year of Publication : 2024 | ||
| Authors : Murali Krishna Pendyala, Vishnu Varma Lakkamraju, Hareesh Makam, Paradarami Varun Reddy | ||
| DOI : 10.14445/22312803/IJCTT-V72I11P108 | ||
How to Cite?
Murali Krishna Pendyala, Vishnu Varma Lakkamraju, Hareesh Makam, Paradarami Varun Reddy, "Machine Learning Algorithms and its Impact on Customer Engagement," International Journal of Computer Trends and Technology, vol. 72, no. 11, pp. 72-82, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I11P108
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.
Keywords
Machine learning, Customer engagement, Recommendation systems, Predictive analytics, Sentiment analysis, Chatbots, Personalized experiences, Consumer-brand relationships.
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