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The General Office of the Ministry of Transport issued the “Guidelines for Artificial Intelligence Application Scenarios in the Field of Water Transport”. It points out intelligent analysis of the economic activity of shipping companies. Construct a compliance dynamic monitoring model for shipping companies' economic activities to achieve dynamic monitoring of compliance status and early prevention and control of compliance risks in response to the enterprise's external regulatory requirements and internal operation management requirements. Build an intelligent system to monitor variable shipping cost levels, collect and collect expenses such as voyage category, operation category, business category, compliance category, etc. in real time, and generate detailed operational continuous improvement plans through budget benchmarking, historical benchmarking, and industry benchmark benchmarking to achieve abnormal warning and cost optimization.
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The General Office of the Ministry of Transport issued the “Guidelines for Artificial Intelligence Application Scenarios in the Field of Water Transport”. It points out intelligent analysis of the economic activity of shipping companies. Construct a compliance dynamic monitoring model for shipping companies' economic activities to achieve dynamic monitoring of compliance status and early prevention and control of compliance risks in response to the enterprise's external regulatory requirements and internal operation management requirements. Build an intelligent system to monitor variable shipping cost levels, collect and collect expenses such as voyage category, operation category, business category, compliance category, etc. in real time, and generate detailed operational continuous improvement plans through budget benchmarking, historical benchmarking, and industry benchmark benchmarking to achieve abnormal warning and cost optimization.
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