Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings
This study explores the potential for adapting AI-driven food waste management strategies from the hospitality industry for application in household settings. The hospitality industry, particularly hotels and restaurants, has implemented AI technologies through companies like Leanpath, Winnow, and K...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1429477/full |
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| author | Quintana M. Clark Disha Basavaraja Kanavikar Jason Clark Patrick J. Donnelly |
| author_facet | Quintana M. Clark Disha Basavaraja Kanavikar Jason Clark Patrick J. Donnelly |
| author_sort | Quintana M. Clark |
| collection | DOAJ |
| description | This study explores the potential for adapting AI-driven food waste management strategies from the hospitality industry for application in household settings. The hospitality industry, particularly hotels and restaurants, has implemented AI technologies through companies like Leanpath, Winnow, and Kitro, which use real-time data and predictive analytics to monitor, categorize, and reduce food waste. These AI-driven systems have demonstrated significant reductions in food waste, offering economic savings and environmental benefits. This study employs an instrumental case study approach, utilizing semi-structured interviews with representatives from these companies to gain insights into the technologies and strategies that have proven effective in hospitality. The findings suggest that with modifications for scale, cost, and user engagement, AI-driven solutions could enhance household food management by providing insights into consumption patterns, offering expiration reminders, and supporting sustainable practices. Highlighted are key considerations for household adaptation, including policy support, educational strategies, economic incentives, and integration with smart home systems. Ultimately, this study identifies a promising avenue for reducing household food waste through AI, underscoring the need for continued research and policy initiatives to facilitate the transition of these technologies from commercial kitchens to everyday homes. |
| format | Article |
| id | doaj-art-db8b02d910c346238db8fc35db465755 |
| institution | Kabale University |
| issn | 2624-8212 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-db8b02d910c346238db8fc35db4657552025-01-23T08:27:57ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122025-01-01710.3389/frai.2024.14294771429477Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settingsQuintana M. Clark0Disha Basavaraja Kanavikar1Jason Clark2Patrick J. Donnelly3Department of Agricultural Sciences Education and the Department of Educational Practice and Research, Oregon State University, Corvallis, OR, United StatesDepartment of Electrical Engineering and Computer Science, Science, Oregon State University Cascades Campus, Bend, OR, United StatesDepartment of Electrical Engineering and Computer Science, Science, Oregon State University Cascades Campus, Bend, OR, United StatesDepartment of Electrical Engineering and Computer Science, Science, Oregon State University Cascades Campus, Bend, OR, United StatesThis study explores the potential for adapting AI-driven food waste management strategies from the hospitality industry for application in household settings. The hospitality industry, particularly hotels and restaurants, has implemented AI technologies through companies like Leanpath, Winnow, and Kitro, which use real-time data and predictive analytics to monitor, categorize, and reduce food waste. These AI-driven systems have demonstrated significant reductions in food waste, offering economic savings and environmental benefits. This study employs an instrumental case study approach, utilizing semi-structured interviews with representatives from these companies to gain insights into the technologies and strategies that have proven effective in hospitality. The findings suggest that with modifications for scale, cost, and user engagement, AI-driven solutions could enhance household food management by providing insights into consumption patterns, offering expiration reminders, and supporting sustainable practices. Highlighted are key considerations for household adaptation, including policy support, educational strategies, economic incentives, and integration with smart home systems. Ultimately, this study identifies a promising avenue for reducing household food waste through AI, underscoring the need for continued research and policy initiatives to facilitate the transition of these technologies from commercial kitchens to everyday homes.https://www.frontiersin.org/articles/10.3389/frai.2024.1429477/fullAIfood wastesustainable technologyAI-drivenhouseholds |
| spellingShingle | Quintana M. Clark Disha Basavaraja Kanavikar Jason Clark Patrick J. Donnelly Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings Frontiers in Artificial Intelligence AI food waste sustainable technology AI-driven households |
| title | Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings |
| title_full | Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings |
| title_fullStr | Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings |
| title_full_unstemmed | Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings |
| title_short | Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings |
| title_sort | exploring the potential of ai driven food waste management strategies used in the hospitality industry for application in household settings |
| topic | AI food waste sustainable technology AI-driven households |
| url | https://www.frontiersin.org/articles/10.3389/frai.2024.1429477/full |
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