Abstract
Marketers are continuously looking for fresh, cutting-edge approaches to connect with their target consumers as businesses are becoming progressively more dependent on technology and digital platforms. ChatGPT, an AI-driven chatbot that employs natural language processing (NLP) to interact with users in a human-like manner, is one of their newest technologies. ChatGPT enables businesses to offer customized and immediate support to their audience by smoothly connecting with a variety of digital platforms. ChatGPT boosts client engagement by delivering a customized and captivating user interface owing to its capacity to grasp human-like discussions. It enables companies to have more meaningful contact with their clients, immediately resolving their issues and forging a solid brand-client bond. In this chapter, the role of ChatGPT in enhancing customer engagement and how it can help businesses in achieving their marketing goals is explored. This study is based on secondary sources, including books, publications, websites, reports, and more.
TopLiterature Review
Lund and Wang (2023) gave an overview of the important terms linked to ChatGPT, an open source program created by OpenAI, and the Generative Pretrained Transformer. An interview with ChatGPT about the potential effects on academic institutions and libraries is included in this paper. It was found that ChatGPT has the potential to significantly boost academic research and librarianship in both unsettling and novel ways.
Key Terms in this Chapter
Customer Engagement: The practice of building a relationship with current customers in order to increase brand recognition and customer loyalty is known as customer engagement.
ChatGPT: ChatGPT is a conversational model with AI at its core created by OpenAI that uses deep learning techniques to produce responses that resemble those of a human.
ChatBot: A chatbot is a computer software created to mimic conversations with human users, particularly online.
NLP: NLP is an area of AI that involves utilizing algorithms to analyze and interpret human language, such as text and speech, in order to extract meaning and useful information.
Generative Model: Models that generate new data instead of just classifying or making predictions based on input data are known as generative models.