Comparative survey identifies key features of AI-driven itinerary planners, highlighting strengths and limitations in travel personalization.
This paper presents a comparative survey of au- tomated travel itinerary planning systems, focusing on systems that use artificial intelligence and machine learning to personalize travel experiences. By examining three recent papers, we identify core features, strengths, and limitations across various trip planning technologies, including traditional POI-based itinerary planners, generative AI tools like ChatGPT, and community- based travel management apps. This survey highlights the poten- tial and limitations of current systems, shedding light on future research directions.
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Sataraddi et al. (2025) studied this question.
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