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Report; Reimagining the Seafood Import Monitoring Program
https://www.stimson.org/wp-content/uploads/2024/07/REPORT_Reimagining-SIMP-Session-2-StimsonFishWise.pdf
Many workshop participants supported the idea that digitizing supply chain records is crucial for effective and efficient risk analytics. Although SIMP was developed as a risk-based program, it still needs an underlying automated risk analytics platform to synthesize the enormous quantities of data provided by the seafood industry and link to external datasets or databases. Automated and digitized systems play a crucial role in enhancing risk analyses for seafood products by leveraging advanced technologies such as AI/ML to gather, analyze, and interpret large volumes of data efficiently. By processing data from multiple sources, including historical data, supply chain data, and third-party data, automated systems lend themselves to regular monitoring of risks that adapt to the evolving nature of seafood supply chains. These automated processes can also help identify patterns, anomalies, or outliers that might have otherwise gone unidentified by manual systems. By analyzing both historical data and current conditions, automated systems even have the potential to predict the likelihood of future risks, allowing for proactive risk management and targeted allocation of resources and enforcement efforts.