This study examines consumer perceptions of vase life (VL) guarantees for cut flowers based on artificial intelligence (AI) predictions. Data were collected through surveys conducted in Osaka and Fukuoka, Japan, targeting both general customers and individuals in the flower industry. Results revealed that although awareness of AI technology was widespread, trust in AI’s ability to predict VL varied among customer groups. General customers in Fukuoka showed greater interest in VL guarantees, a willingness to pay higher prices, and higher trust levels in AI-based prediction systems compared with customers in Osaka. Conversely, flower industry professionals expressed less interest in VL guarantees and were less inclined to pay higher prices regarding AI systems, despite moderate trust in AI’s capabilities. Consumer preferences highlighted demand for VL guarantees, particularly in Osaka, whereas guarantees of up to 7 days were preferred. Notably, 48.3% of general customers favored a 7-day guarantee, whereas 44.7% of flower industry professionals preferred a 10-day guarantee. Understanding these differences in consumer perceptions of VL guarantees and AI can inform the development of effective guarantee systems for cut flowers and enhance public relations strategies in distribution and export markets.

Introduction
Methods
Results
    Demographic characteristics of surveyed customers
    Flower purchase behavior of surveyed customers
    Consumer’s preferences regarding vase life guarantees
    Trust in AI technique for vase life prediction
    Willingness to pay for AI-guaranteed vase life system
Discussion
Conclusion
Acknowledgments
References

• Suong Tuyet Thi Ha(Department of Smart Horticultural Science, Andong National University, Andong 36729, Korea)
• Yong-Tae Kim(Department of Smart Horticultural Science, Andong National University, Andong 36729, Korea)
• Ji Yeong Ham(Department of Smart Horticultural Science, Andong National University, Andong 36729, Korea)
• Byung-Chun In(Department of Smart Horticultural Science, Andong National University, Andong 36729, Korea) Corresponding author