AI-Driven Customer Support: Transforming User Experience and Operational Efficiency
Year: 2025
Type: article
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.
Author: Rakesh Konda -
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408909044