Voice AI in Action: Transforming Customer Service with Real-Time Transcription and Insights

Lakshman Kumar Jamili; Soham Sunil Kulkarni; Dr. Lalit Kumar

doi:10.36676/urr.v12.i1.1460

Authors

Lakshman Kumar Jamili University of Missouri-Kansas City (UMKC), 5000 Holmes St, Kansas City, MO 64110 United States
Soham Sunil Kulkarni University of California, Irvine, CA 92697, United States
Dr. Lalit Kumar IILM University , Greater Noida, India

DOI:

https://doi.org/10.36676/urr.v12.i1.1460

Keywords:

Voice AI, real-time transcription, customer service, automated analytics, sentiment analysis, data-driven engagement, operational efficiency.

Abstract

In today’s fast-paced digital era, customer service is experiencing a transformative shift powered by Voice AI. By integrating real-time transcription with advanced analytical insights, organizations are redefining the way they engage with clients. This paper explores how Voice AI converts spoken conversations into precise, actionable data, enabling businesses to promptly address customer needs. Leveraging state-of-the-art voice recognition algorithms, these systems capture detailed transcripts of every interaction, which are then analyzed to detect trends, sentiments, and potential areas for service improvement. Such immediate analysis not only accelerates issue resolution but also lays the foundation for proactive support strategies.

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