COGNITIVE CLOUD-ORCHESTRATED AI CHATBOTS FOR REAL-TIME CUSTOMER SUPPORT OPTIMIZATION

In recent times, the advent of cloud based AI chatbots has transformed real time customer support by infusing the newer technologies to deliver better user experience and operational efficiency.The next steps have seen large language models (LLMs) including GPT 4 added into it to allow understanding and generation of human speech, enhancing quality of interaction.Also, voice recognition and natural language processing (NLP) integration provides a smooth voice based interaction experience for different customers' choices.Chatbots are capable of sentiment analysis making them able to detect customer emotions and respond according to the generated sentiment, or even escalate the case to human agents if required.Also, the multilingual support has been enhanced to enable chatbots to interact in multiple languages hence they become more accessible and effective.Also, the combination of AI systems with human intelligence in hybrid models allows for more accurate and context aware answers that can handle very wide range of customer queries.Together, these technologies help the optimization of the real time customer support process, which improves the satisfaction and the operational excellence.

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Publication Details

Published
2024-08-30
DOI
https://doi.org/10.34218/ijca_05_02_003
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
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article

COGNITIVE CLOUD-ORCHESTRATED AI CHATBOTS FOR REAL-TIME CUSTOMER SUPPORT OPTIMIZATION

Auction Theory and Applications
article

COGNITIVE CLOUD-ORCHESTRATED AI CHATBOTS FOR REAL-TIME CUSTOMER SUPPORT OPTIMIZATION

article en

Abstract

In recent times, the advent of cloud based AI chatbots has transformed real time customer support by infusing the newer technologies to deliver better user experience and operational efficiency.The next steps have seen large language models (LLMs) including GPT 4 added into it to allow understanding and generation of human speech, enhancing quality of interaction.Also, voice recognition and natural language processing (NLP) integration provides a smooth voice based interaction experience for different customers' choices.Chatbots are capable of sentiment analysis making them able to detect customer emotions and respond according to the generated sentiment, or even escalate the case to human agents if required.Also, the multilingual support has been enhanced to enable chatbots to interact in multiple languages hence they become more accessible and effective.Also, the combination of AI systems with human intelligence in hybrid models allows for more accurate and context aware answers that can handle very wide range of customer queries.Together, these technologies help the optimization of the real time customer support process, which improves the satisfaction and the operational excellence.

Vol. 5(2)
National Australia Bank (AU)
Openalex Percentile: Top 57%
Auction Theory and Applications
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COGNITIVE CLOUD-ORCHESTRATED AI CHATBOTS FOR REAL-TIME CUSTOMER SUPPORT OPTIMIZATION · (2024) | TGRS Research Map | TGRS