Data Tools Boost Supply Chain Resilience Amid Port Delays
This paper analyzes the causes of international shipping terminal congestion from a data analyst's perspective, proposing a core response logic of 'early prediction + proactive avoidance + dynamic adjustment + emergency coordination.' Strategies such as port/route substitution, process optimization, and resource coordination are employed to mitigate the impact of congestion on cargo timeliness. The paper emphasizes the crucial role of data-driven approaches in risk management, decision support, and supply chain optimization, ultimately helping businesses enhance supply chain resilience. It highlights the importance of leveraging data for proactive problem-solving and improved operational efficiency.
