The Korean Journal of Food & Health Convergence (식품보건융합연구)

Korea Food & Health Convergence Association (한국식품보건융합학회)
권호 표지
DOI QR코드

DOI QR Code

A Study of AI Impact on the Food Industry

  • Seong Soo CHA (Dept. of Food Science & Service, College of Bio-Convergence, Eulji University)
  • Received : 2023.08.23
  • Accepted : 2023.09.07
  • Published : 2023.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

Keywords

References

  1. Beksh, D. (2023). Business plan for an anime-themed cafe.
  2. Bozkurt, A., Xiao, J., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., ... & Jandric, P. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1).
  3. Carvalho, I., & Ivanov, S. (2023). ChatGPT for tourism: applications, benefits and risks. Tourism Review.
  4. Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
  5. Fuste-Forne, F., & Orea-Giner, A. (2023). Gastronomy in tourism management and marketing: an interview with ChatGPT. ROBONOMICS: The Journal of the Automated Economy, 4, 42-42.
  6. George, A. S., & George, A. H. (2023). A review of ChatGPT AI's impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9-23.
  7. Gursoy, D., Li, Y., & Song, H. (2023). ChatGPT and the hospitality and tourism industry: an overview of current trends and future research directions. Journal of Hospitality Marketing & Management, 32(5), 579-592.
  8. Kargaran, A. H., Nikeghbal, N., Heydarnoori, A., & Schutze, H. (2023). MenuCraft: Interactive Menu System Design with Large Language Models. arXiv preprint arXiv:2303.04496.
  9. Lakhani, A. (2023). Enhancing Customer Service with ChatGPT Transforming the Way Businesses Interact with Customers.
  10. Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: Artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74(5), 570-581.
  11. Mogavi, R. H., Deng, C., Kim, J. J., Zhou, P., Kwon, Y. D., Metwally, A. H. S., ... & Hui, P. (2023). Exploring user perspectives on chatgpt: Applications, perceptions, and implications for ai-integrated education. arXiv preprint arXiv:2305.13114.
  12. Noever, D., & Noever, S. E. M. (2023). The Multimodal And Modular Ai Chef: Complex Recipe Generation From Imagery. arXiv preprint arXiv:2304.02016.
  13. Paul, J., Ueno, A., & Dennis, C. (2023). ChatGPT and consumers: Benefits, pitfalls and future research agenda. International Journal of Consumer Studies, 47(4), 1213-1225.
  14. Piriyakul, I. (2023). Automated Analysis of Causal Relationships in Customer Reviews.
  15. Schwark, N., Tiberius, V., & Fabro, M. (2020). How will we dine? Prospective shifts in international haute cuisine and innovation beyond kitchen and plate. Foods, 9(10), 1369.