Leveraging Intent Detection and Generative AI for Enhanced Customer Support

Vamsi Katragadda ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 5, issue 1, 109-114

Abstract: Customer support plays a pivotal role in shaping customer satisfaction and fostering loyalty within any business. This paper delves into how the integration of intent detection and generative AI (GenAI) can transform customer support systems. At the core of this transformation is the ability to understand user intent, which is essential for directing customers effectively through the support funnel to the appropriate services. By employing sophisticated natural language processing (NLP) techniques, training LLM to perform RAG and machine learning models, businesses can precisely discern customer intents. This capability allows for the delivery of tailored, immediate responses. The paper further explores the methodologies employed, the advantages gained, and the challenges faced in the adoption of these advanced technologies in customer support systems.

Keywords: Intent Detection; Generative AI; Customer Support; AI-powered Assistance; Enhanced User Experience (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/178 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:5:y:2024:i:1:p:109-114:id:178

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().