Abstract
The purpose of this chapter is to investigate the novel use of ChatGPT, a strong language model, in order to comprehend and influence the purchasing decisions of customers in the retail and e-commerce industries. This in-depth research starts out by investigating whether or not ChatGPT is capable of facilitating discussions with clients that are both customized and participatory. In this chapter, the author deftly investigates the combination of machine learning and natural language processing in ChatGPT. It provides useful insights into ChatGPT’s capacity to assess client questions and modify replies in order to influence purchase choices. Real-world examples and practical illustrations demonstrate how the capability of ChatGPT may efficiently deliver personalized product suggestions, respond to consumer queries, and ultimately have an influence on decision-making. In the discussion, topics such as ethical issues, privacy problems, and the difficulties associated with integrating ChatGPT in applications that are directed toward consumers are discussed. Through this chapter, readers are provided with a full grasp of the interaction between ChatGPT and customer behavior. Additionally, this chapter sheds light on the potential transformational effect that conversational interfaces driven by artificial intelligence might have in the retail and e-commerce sectors.
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Arnone, G. (2024). ChatGPT to Decide Buying Behavior. In: AI and Chatbots in Fintech. Contributions to Finance and Accounting. Springer, Cham. https://doi.org/10.1007/978-3-031-55536-7_5
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DOI: https://doi.org/10.1007/978-3-031-55536-7_5
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