AI-Based Voice Assistants for Automated Customer Care Systems

Authors

  • Mr. P. R. Kulkarni Assistant Professor, Computer Engineering, GCOERC, Nashik Author
  • Ms. Chanchal Sandip Aher Students, Department of Computer Engineering, GCOERC, Nashik Author
  • Ms. Akanksha Balasaheb Darade Students, Department of Computer Engineering, GCOERC, Nashik Author
  • Mr. Parth Gajanan Patil Students, Department of Computer Engineering, GCOERC, Nashik Author
  • Mr. Roshan Jankiram Pawara Students, Department of Computer Engineering, GCOERC, Nashik Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0435

Keywords:

AI Voice Assistant, Speech-to-Text (STT), Retrieval-Augmented Generation (RAG), Large Language Model (LLM), Conversational AI, Customer Care Automation, Voice Interaction

Abstract

AI-powered voice assistants automate customer support through phone calls using advanced Artificial Intelligence (AI) and Natural Language Processing (NLP). The sys- tem converts spoken customer queries into text using Speech-to-Text (STT), retrieves accurate information using Retrieval-Augmented Generation (RAG), and delivers re- sponses through Text-to-Speech (TTS).  The assistant provides context-aware, real-time, and policy-compliant answers, minimizing the need for human agents. It also allows call transfers to human representa- tives when necessary and logs conversations for future anal- ysis. The system ensures 24/7 assistance, reduces opera- tional costs, and enhances customer experience by deliver- ing consistent, efficient, and intelligent support.

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Published

2026-05-11

How to Cite

AI-Based Voice Assistants for Automated Customer Care Systems . (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(05), 3377-3382. https://doi.org/10.47392/IRJAEH.2026.0435