The Self-Improving Customer Service System: How AI Learns from Every Interaction

Author(s)	Mayank Choubey
Country	United States
Abstract	This article explores the transformative impact of self-improving AI systems in customer service, examining the parallels between AI and human learning processes, the mechanics of AI self-improvement, and the advantages of AI's learning at scale. It delves into real-world applications and impacts across various industries, highlighting improvements in personalization, efficiency, accuracy, customer satisfaction, and cost reduction. The article also addresses ethical considerations such as data privacy, transparency, and bias mitigation, while offering a future outlook on advanced AI capabilities in emotional intelligence, predictive service, and seamless human-AI collaboration. Through a comprehensive analysis of current technologies and future possibilities, this study provides insights into how self-improving AI is revolutionizing customer service, promising more efficient, personalized, and satisfying experiences for customers.
Keywords	Self-improving AI, Customer Service, Machine Learning, Natural Language Processing, Ethical AI
Field	Computer
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-11-07
Cite This	The Self-Improving Customer Service System: How AI Learns from Every Interaction - Mayank Choubey - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30111
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.30111
Short DOI	https://doi.org/g8qfsv

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