AI/ML Based new smart customer feedback system for hospitality Industry

Ramnarayan, None; Joshi, Kapil; Reshi, Jagdeep; Memoria, Minakshi; Gupta, Ashulekha; Rastogi, Neha

doi:10.1109/icccs55188.2022.10079480

Cited by 22 publications

(1 citation statement)

References 18 publications

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“…To fully capitalize on the bene ts of customer feedback, it is crucial for businesses to provide relevant training to their staff. Previous studies have indicated that staff training is indispensable in the café and restaurant industry, offering a range of bene ts from improved service quality and customer satisfaction [1][2][3][4] to increased e ciency [5,6] and innovation [7,8]. Speci cally, in today's rapidly changing world, people's thoughts and preferences evolve swiftly, making the ability to adapt quickly to these changes crucial.…”

Section: Introductionmentioning

confidence: 99%

Introducing AIRSim: An Innovative AI-Driven Feedback Generation Tool for Supporting Student Learning

Sung,

Leong

2024

Preprint

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This paper introduces AIRSim (AI Responses Simulator), an innovative AI tool designed to support students in practicing their questionnaire analysis skills within the café and restaurant discipline. Utilizing artificial intelligence (AI), AIRSim generates hypothetical feedback data to facilitate student learning. Through a series of 16 experiments, we evaluated AIRSim's capability in simulating participant responses to user-uploaded questionnaires. Our findings demonstrated a notable degree of diversity in the generated results, as indicated by the Entropy Index, across various perspectives and participant-question combinations. To the best of our knowledge, there exists a lack of relevant studies exploring this specific application of AI in the context of student learning within the café and restaurant discipline. By introducing the AIRSim tool, educators can efficiently enhance their students' analytical abilities and responsiveness to customer needs. This practical contribution addresses the pressing need for effective training methods in the hospitality sector while also capitalizing on the transformative potential of Generative AI technologies, such as ChatGPT. Overall, this study provides valuable insights into AI-driven student learning and identifies areas for future research.

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