Abstract
The advent of the fourth industrial revolution has seen an increased integration of artificial intelligence in the management of food supply chains, representing a transformative opportunity to enhance efficiency, accuracy, and sustainability. Over the years, food supply chain has suffered from a myriad of challenges related to lack of transparency and sustainability. This study is an examination of the extent of the application of artificial intelligence within food supply chains, identifying key opportunities, challenges, and implications. The study employs a systematic literature review to synthesise findings from peer-reviewed journals, highlighting how disruptive technologies like machine learning, predictive analytics, and autonomous systems are being leveraged to optimize various stages of the food supply chain, from production and processing to distribution and retail. Key opportunities identified include improved demand forecasting, enhanced inventory management, and increased transparency and traceability. However, the review also uncovers significant challenges, including technological integration, data privacy concerns, and the need for substantial investment in infrastructure and skills development. This study offers valuable insights into how emerging technologies can be harnessed to enhance the efficiency and resilience of food supply chains, thereby advancing the discourse on AI's role in modern supply chain management.