Revolutionizing Customer Experience with AI-Powered Chat bots and Virtual Assistants

Customer service has historically been plagued with issues such as long call wait times, unavailability for real-time queries, inconsistent responses, poor engagement, and lack of coordination between multiple queries. However, an AI-powered chatbot and virtual assistant-based customer service has the potential to overcome these challenges and drive better performance. The proposed system uses advanced Natural Language Processing (NLP) with Bidirectional Encoder Representations from Transformers (BERT) and Reinforcement Learning (RL) to deliver real-time and personalized interactions with human level accuracy. The system is available 24/7, ensures reduced wait times, and learns from continuous data inputs. As performance evaluation indicates, human accuracy increased by 76.8%, which also led to better customer satisfaction scores. These serves as a significant driver of improved operational performance of using a machine-learning based AI system versus human service while also improving customer loyalty and retention rates.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910297
Primary Topic
AI in Service Interactions
Type
article
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article

Revolutionizing Customer Experience with AI-Powered Chat bots and Virtual Assistants

Shri Sakthi, M. Nithya, S Lingadurai., B Mohamedarsath.
AI in Service Interactions
article

Revolutionizing Customer Experience with AI-Powered Chat bots and Virtual Assistants

Shri Sakthi, M. Nithya, S Lingadurai., B Mohamedarsath.
article en

Abstract

Customer service has historically been plagued with issues such as long call wait times, unavailability for real-time queries, inconsistent responses, poor engagement, and lack of coordination between multiple queries. However, an AI-powered chatbot and virtual assistant-based customer service has the potential to overcome these challenges and drive better performance. The proposed system uses advanced Natural Language Processing (NLP) with Bidirectional Encoder Representations from Transformers (BERT) and Reinforcement Learning (RL) to deliver real-time and personalized interactions with human level accuracy. The system is available 24/7, ensures reduced wait times, and learns from continuous data inputs. As performance evaluation indicates, human accuracy increased by 76.8%, which also led to better customer satisfaction scores. These serves as a significant driver of improved operational performance of using a machine-learning based AI system versus human service while also improving customer loyalty and retention rates.

G.S. Science, Arts And Commerce College (IN)
Openalex Percentile: Top 74%
AI in Service Interactions
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Revolutionizing Customer Experience with AI-Powered Chat bots and Virtual Assistants — Shri Sakthi, M. Nithya, et al. · (2024) | TGRS Research Map | TGRS