Sprinklr Inc., USA.
International Journal of Science and Research Archive, 2025, 14(01), 448-458
Article DOI: 10.30574/ijsra.2025.14.1.0049
Received on 30 November 2024; revised on 08 January 2025; accepted on 10 January 2025
Large Language Models (LLMs) have revolutionized enterprise customer service by transforming how organizations interact with their customers. This article examines the implementation of LLMs across diverse industry sectors, focusing on financial services and e-commerce platforms. The findings demonstrate significant improvements in response times, first-contact resolution, and customer satisfaction scores. A novel architectural framework incorporating compliance, integration, and language processing layers provides a foundation for enterprise-grade LLM deployment. The results reveal enhanced operational efficiency, reduced costs, and improved service quality. Best practices and implementation guidelines establish a roadmap for organizations adopting LLM solutions while addressing technical and operational challenges. Future directions highlight emerging capabilities in personalization, context understanding, and predictive service delivery.
Enterprise AI Integration; Customer Experience Optimization; Language Model Implementation; Service Automation; Digital Transformation
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Chetan Manda. Innovation in AI-driven customer service: Impact of large language models on enterprise solutions. International Journal of Science and Research Archive, 2025, 14(01), 448-458. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0049.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0