Revolutionizing IVR Systems with Generative AI for Smarter Customer Interactions

The incorporation of Generative AI into Interactive Voice Response (IVR) systems is revolutionizing the way businesses engage with customers, significantly boosting both operational efficiency and customer satisfaction. [1] Unlike traditional IVR systems, which rely on rigid, pre-recorded responses, modern AI-driven solutions offer more dynamic, adaptable, and intuitive interactions. These systems can process and generate natural language, enabling highly personalized, context-aware conversations that are more fluid and less frustrating for users. This paper examines the transformative potential of Generative AI in enhancing IVR systems, focusing on advancements in speech recognition, real-time customer need adaptation, and reduction of wait times. It also explores the technological, ethical, and implementation challenges faced by organizations while showcasing successful case studies of businesses integrating Generative AI into their IVR platforms. The outcome is a streamlined, scalable, and user-centric experience that meets the evolving demands of today's consumers..

Authors

Publication Details

Journal
International Journal of Innovative Research in Computer and Communication Engineering
Published
2025-01-28
DOI
https://doi.org/10.15680/ijircce.2025.1301001
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Revolutionizing IVR Systems with Generative AI for Smarter Customer Interactions

Vigneshwaran Jagadeesan Pugazhenthi, Joginder Singh, Gokul Pandy
International Journal of Innovative Research in Computer and Communication Engineering
Big Data and Business Intelligence
article

Revolutionizing IVR Systems with Generative AI for Smarter Customer Interactions

Vigneshwaran Jagadeesan Pugazhenthi, Joginder Singh, Gokul Pandy
article en

Abstract

The incorporation of Generative AI into Interactive Voice Response (IVR) systems is revolutionizing the way businesses engage with customers, significantly boosting both operational efficiency and customer satisfaction. [1] Unlike traditional IVR systems, which rely on rigid, pre-recorded responses, modern AI-driven solutions offer more dynamic, adaptable, and intuitive interactions. These systems can process and generate natural language, enabling highly personalized, context-aware conversations that are more fluid and less frustrating for users. This paper examines the transformative potential of Generative AI in enhancing IVR systems, focusing on advancements in speech recognition, real-time customer need adaptation, and reduction of wait times. It also explores the technological, ethical, and implementation challenges faced by organizations while showcasing successful case studies of businesses integrating Generative AI into their IVR platforms. The outcome is a streamlined, scalable, and user-centric experience that meets the evolving demands of today's consumers..

International Journal of Innovative Research in Computer and Communication EngineeringVol. 13(01)
Openalex Percentile: Top 77%
Big Data and Business Intelligence
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