Harnessing Artificial Intelligence (AI) to Mitigate Food Waste: Innovative Strategies for Sustainable Consumption

The capacity of artificial intelligence (AI) to transform food waste management is rooted in its capability to analyse extensive data sets and enhance processes throughout the food supply chain. Despite the potential of AI to transform food waste management, many organisations and consumers remain uninformed about its capabilities and the innovative strategies it can provide to effectively reduce food waste. This study aimed to review innovative strategies for sustainable consumption by harnessing AI to mitigate food waste. This study employed a review analysis as a methodological approach to synthesise existing literature on the intersection of AI and food waste management. The review analysis revealed several innovative strategies for sustainable consumption by harnessing AI to mitigate food waste, including: (a) smart inventory management; (b) recipe suggestions based on available ingredients; (c) automated waste tracking; (d) predictive analytics for meal preparation; and (e) consumer behaviour insights. In conclusion, utilising AI to reduce food waste offers a viable strategy for promoting sustainable consumption practices throughout the food supply chain. Future research should prioritise longitudinal analyses to assess the long-term effectiveness of AI interventions across sectors including agriculture, retail, and hospitality.