International Journal on Science and Technology

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AI-Driven Customer Support: Transforming User Experience and Operational Efficiency

Author(s) Rakesh Konda
Country United States
Abstract The integration of artificial intelligence in customer support operations represents a transformative shift in how organizations deliver service and manage customer relationships. This comprehensive article examines how AI technologies, particularly Large Language Models, Case Deflection Systems, and Predictive Suggestion Systems, are revolutionizing traditional support paradigms. The article investigates the impact of AI implementation across multiple dimensions, including operational efficiency, customer satisfaction, cost optimization, and service quality. Through empirical evidence and case studies, this article demonstrates how AI-driven support solutions address traditional challenges while creating new opportunities for enhanced customer engagement. The findings reveal significant improvements in areas such as response time, accuracy, self-service capabilities, and agent productivity, while highlighting the importance of structured implementation approaches and ongoing optimization strategies.
Keywords Artificial Intelligence, Customer Support Automation, Service Optimization, Implementation Strategy, Customer Experience Management.
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-22
Cite This AI-Driven Customer Support: Transforming User Experience and Operational Efficiency - Rakesh Konda - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2600
DOI https://doi.org/10.71097/IJSAT.v16.i1.2600
Short DOI https://doi.org/g892gd
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