Here's how you can enhance import/export performance evaluations through data analysis and reporting.

This can be achieved by following the steps below: 1. Automate data collection to gather information from customs, shipping logs, and inventory. 2. Correct errors and remove duplicates during data cleaning and preparation. 3. Define key performance indicators (KPIs) to focus on metrics such as lead time, cost per shipment, and delivery accuracy using historical data or industry standards for comparison. 4. Utilize data analysis techniques to summarize historical performance and issues using predictive analytics, and recommend actions for improvement through prescriptive analytics. 5. Use tools like Tableau or Power BI for interactive visualizations and tailor reports to different stakeholder needs for effective reporting and visualization.

To start enhancing your import/export performance evaluations, you must first identify the key data metrics that impact your operations. These metrics could include lead times, shipping costs, customs clearance times, and the accuracy of documentation.

Este punto es la base de cualquier modelo de datos, tener el ejercicio de ingreso de datos a una base, limpios y purificados es clave para avanzar en cualquier métrica.

To enhance Import/Export performance evaluation based on data analysis we could do based on : 1. Achievement of previous KPI 2. Achievement of contractual 3PL previously 3. Study suggested improvement 4. Lack of shipment flow indentification

Enhance import/export performance by defining key metrics, collecting and integrating data, and using advanced analytics. Create visual dashboards and detailed reports to highlight trends and performance. Conduct comparative analysis, set actionable recommendations, and continuously monitor and review outcomes to drive data-driven decisions and improvements.

It’s great if you have budget for tools, but if not you can build xlsx reports for all metrics that important to track. You must be accurate and update all reports on regular basis.

With the volatility levels that we have been seeing in international logistics processes lately, having tools that can provide real time and reliable information is key to have a commercial advantage.

There is always opportunity to improve processes, and having the right metrics and information can help you improve performance of even the most efficient supply chains.

I think, it is great to use data analysis to identify and address bottlenecks in the import/export process. Example, Discover that most delays occur during customs checks and work to streamline this part of the process. Always perform cost analysis to identify cost-saving opportunities and optimize shipping routs and methods. For example, Try to find that shipping through a particular port is more expensive and look for cheaper alternatives.

Track compliance with international trade regulations and identify potential risks. For example, Regularly check that all shipments meets the necessary regulations. Analyze risk factors and implement strategies to mitigate them. Example, Assess potential risks, such as changes in customs rules, and plan accordingly.

Regularly monitor and review the performance evaluation process to ensure it meets business objectives. Example, Send out weekly emails to the team with updates on shipments statuses. Establish a feedback loop to continuously improve the data analysis and reporting processes based on stakeholder input. Example, Ask the team for suggestions on improving the data collection process.

It's important to analyse the outliers during analysis otherwise key metrics will be distorted. Additionally, before analysing the data it is very important to prepare the data as in collecting reliable data and cleaning the data.