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Intent Matching based Customer Services Chatbot with Natural Language Understanding

2022-01-07 08:30:32
Alvin Chaidrata, Mariyam Imtha Shafeeu, Sze Ker Chew, Zhiyuan Chen, Jin Sheng Cham, Zi Li Yong, Uen Hsieh Yap, Dania Imanina Binti Kamarul Bahrin
arXiv_CL
           
Abstract

Customer service is the lifeblood of any business. Excellent customer service not only generates return business but also creates new customers. Looking at the demanding market to provide a 24/7 service to customers, many organisations are increasingly engaged in popular social media and text messaging platforms such as WhatsApp and Facebook Messenger in providing a 24/7 service to customers in the current demanding market. In this paper, we present an intent matching based customer services chatbot (IMCSC), which is capable of replacing the customer service work of sales personnel, whilst interacting in a more natural and human-like manner through the employment of Natural Language Understanding (NLU). The bot is able to answer the most common frequently asked questions and we have also integrated features for the processing and exporting of customer orders to a Google Sheet.

Abstract (translated)

URL

https://arxiv.org/abs/2202.00480

PDF

https://arxiv.org/pdf/2202.00480.pdf

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