Technological innovations in accounting for food supply chain management have significantly transformed traditional practices, enhancing efficiency, transparency, and sustainability. This review explores the impact of technologies such as blockchain, IoT, AI, and big data analytics in the food supply chain. Blockchain provides an immutable ledger for tracking transactions, ensuring data authenticity and traceability. IoT devices monitor environmental conditions during food transportation and storage, reducing spoilage and improving quality. AI and machine learning optimize inventory management and demand forecasting, enabling accurate predictions and efficient resource allocation. Big data analytics helps stakeholders derive insights from large datasets, improving decision-making and operational performance. Despite these advancements, challenges such as data security, interoperability, and the need for skilled personnel remain significant. Addressing these issues is crucial for the widespread adoption of technology in food supply chain management. The future outlook is promising, with continued advancements expected to drive improvements in efficiency, transparency, and sustainability. Collaboration among industry stakeholders, technology providers, and regulatory bodies is essential to foster innovation and overcome existing challenges. By embracing these technologies, stakeholders can create a more resilient, transparent, and sustainable food supply chain ecosystem.Technological innovations in accounting for food supply chain management have significantly transformed traditional practices, enhancing efficiency, transparency, and sustainability. This review explores the impact of technologies such as blockchain, IoT, AI, and big data analytics in the food supply chain. Blockchain provides an immutable ledger for tracking transactions, ensuring data authenticity and traceability. IoT devices monitor environmental conditions during food transportation and storage, reducing spoilage and improving quality. AI and machine learning optimize inventory management and demand forecasting, enabling accurate predictions and efficient resource allocation. Big data analytics helps stakeholders derive insights from large datasets, improving decision-making and operational performance. Despite these advancements, challenges such as data security, interoperability, and the need for skilled personnel remain significant. Addressing these issues is crucial for the widespread adoption of technology in food supply chain management. The future outlook is promising, with continued advancements expected to drive improvements in efficiency, transparency, and sustainability. Collaboration among industry stakeholders, technology providers, and regulatory bodies is essential to foster innovation and overcome existing challenges. By embracing these technologies, stakeholders can create a more resilient, transparent, and sustainable food supply chain ecosystem.