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+iDigiChat: Intelligent Digital Marketing Service Chatbot for Efficient Customer Service via Artificial Intelligence

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DOI: 10.23977/jaip.2025.080107 | Downloads: 22 | Views: 475

Author(s)

Lin Xianxin 1, Su Qian 1

Affiliation(s)

1 Advanced Manufacturing Technology College, Guangxi Technological College of Machinery and Electricity, Nanning, 530007, China

Corresponding Author

Lin Xianxin

ABSTRACT

Under the wave of digitalization, using intelligent technology to improve customer service efficiency has become a hot spot in industry research. Based on this background, this article clearly puts forward the research theme, that is, to explore how intelligent chat robots can help upgrade digital marketing services. This article focuses on the application of intelligent chat bot in the field of iDigiChat marketing services and its far-reaching impact. On the research method level, this article combines theoretical analysis with practical discussion, and discusses the design concept, technical architecture and intelligent interaction of intelligent chat robot. By simulating or based on the application examples of existing intelligent chat bots, the application potential of intelligent chat bots in different digital marketing scenarios is demonstrated. The research results show that the intelligent chat robot can improve the efficiency of customer service, shorten the waiting time of customers, provide personalized service experience and optimize the overall feeling of consumers. Its powerful data collection and analysis capabilities provide accurate data support for the formulation of digital marketing strategies, making marketing activities more targeted and effective.

KEYWORDS

Intelligent chat robot; Digital marketing service; Customer service efficiency; Marketing effect

CITE THIS PAPER

Lin Xianxin, Su Qian, +iDigiChat: Intelligent Digital Marketing Service Chatbot for Efficient Customer Service via Artificial Intelligence. Journal of Artificial Intelligence Practice (2025) Vol. 8: 53-58. DOI: http://dx.doi.org/10.23977/jaip.2025.080107.

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