The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry

In the last decade, food and drink supply chain management has become an important part of global operations strategy. The global food and drink industries (FDIs) is establishing supply chain operations across countries as a result of increasing demand, this expansion has created challenges in coordinating operations that connect multi-suppliers, one as such is the financial enabler for the multi-layered supply chain network. However, literature on artificial intelligence (AI) in FDIs is limited, this study explores AI theory in supply chain networks and alternative supply chain financing for the FDIs. This study proposes a new conceptual framework based on theoretical contributions identified through literature, a conceptual framework is established and further developed to a meta-framework. This study explored the set-theoretic comparative approach for data analysis, the outcomes of this research suggest that the probable contributions of supply chain networks driven by AI technologies provide a sustainable financing stream for the food and drink supply chain.

Automated summary

Over the past decade, food and beverage supply chain management has become a critical component of global operations strategy. The expansion of global food and beverage industries has led to challenges in coordinating operations across countries, particularly in terms of financial support for multi-layered supply chain networks. Despite limited literature on artificial intelligence in FDIs, the study explores AI theory in supply chain networks and alternative supply chain financing, proposing a new conceptual framework based on theoretical contributions identified through literature. The research indicates that AI-driven supply chain networks may provide a sustainable financing stream for the food and beverage supply chain.