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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40571
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project focuses on building an intelligent chatbot designed to streamline customer support by efficiently interpreting and addressing customer complaints or queries. The chatbot integrates seamlessly with an existing database to search for potential resolutions, providing instant responses to common issues. If no suitable solution is found in the database, the chatbot escalates the query to support staff, ensuring manual intervention when necessary. Leveraging machine learning, the chatbot continuously learns from interactions between customers and support staff, updating the database with new resolutions to handle similar queries autonomously in the future. This approach not only improves the chatbot’s ability to understand and respond to complex queries but also enhances its efficiency over time. By automating routine responses and fostering a self-improving system, the solution aims to optimize customer support processes, minimize response times, and deliver a consistently superior customer experience.
KEYWORDS
Publication Date
7/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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