Data visualization tools and techniques for reverse logistic…

Search, describe and show some kind of data visualization tool and technique that can effectively communicate reverse logistics performance insights to stakeholders and support data-driven decision-making. Here are some hints and advice and directions to make this even fun and successful. Step 1: Search for Data Visualization Tools Start by searching for popular data visualization tools that are commonly used in reverse logistics. Some well-known tools include: Tableau: Known for its powerful data visualization capabilities and ease of use. Microsoft Power BI: Offers robust data analytics and visualization features. SAP: Provides specialized supply chain software with visualization options. Oracle: Another comprehensive tool for supply chain and logistics management1. Step 2: Describe the Chosen Tool Take Tableau as an example. Tableau is a leading data visualization tool that allows users to create interactive and shareable dashboards. It can connect to various data sources, including spreadsheets, databases, and cloud services. Tableaus drag-and-drop interface makes it easy to create complex visualizations without needing extensive coding knowledge. Step 3: Show a Data Visualization Technique One effective technique to communicate reverse logistics performance insights is to create a dashboard that includes key performance indicators (KPIs) such as return rate, cost per return, and average time to process a return. Heres how you can do it: Return Rate: Visualize the percentage of products returned by customers relative to the total number of products sold. Use a bar chart or line graph to show trends over time. Cost per Return: Display the total cost associated with processing returned items. A pie chart can break down the costs into categories like transportation, labor, and repackaging. Average Time to Process a Return: Use a gauge chart to show the average time it takes to complete the return process. This can help identify bottlenecks and areas for improvement. Recovery Rate: Show the percentage of value recovered from returned products using a stacked bar chart. This can include reselling refurbished products, recycling materials, or selling parts. By following these steps, you can effectively search, describe, and show a data visualization tool and technique to communicate reverse logistics performance insights to stakeholders and support data-driven decision-making.