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License: CC BY
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Article . 2025
License: CC BY
Data sources: Datacite
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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From Reactive to Proactive: AI-Driven CCaaS Solutions in Predictive Customer Service

Authors: null Vipin Kalra; null Dr Shaveta Arora;

From Reactive to Proactive: AI-Driven CCaaS Solutions in Predictive Customer Service

Abstract

Customer service is no longer the answer to a complaint but a personal, accurate, timely interaction that is expected to be highly influenced by AI. AI is being integrated into CCaaS solutions as more and more of these platforms aim to provide better ways to engage with customers while anticipating their needs and even providing personalized updates. The role of advanced intelligent CCaaS solutions in the context of predictive customer experience transformation is the focus of this paper. These areas are: shift from traditional reactive systems to proactive AI, use of Predictive Analytics, Machine Learning Models and Conversational AI for customer satisfaction. In so doing, this article outlines a comprehensive approach to a literature review and case study analyses to stress the significance of embedding AI into CCaaS for long-term competitive advantage. It calls for the adoption of predictive customer service as critical to organizations that are determined to strive in the current volatile business environment.

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Keywords

Machine Learning, Conversational AI, AI, CCaaS, AI; CCaaS; Predictive Analytics; Customer Service; Machine Learning; Conversational AI; Customer Satisfaction, Predictive Analytics, Customer Satisfaction, Customer Service

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold