Effectively analyzing your PinguBuy data is key to optimizing your sourcing strategy. By tracking key metrics over time, you can identify trends, pinpoint issues, and make data-driven decisions. This guide will walk you through creating charts to visualize Refund Ratios, QC Pass Rates, and Average Shipping Costs.
Ensure your spreadsheet has consistent monthly columns with the following core data points:
Add calculated columns next to your raw data. Here are the essential formulas:
= (Refund Requests / Total Orders) * 100
This shows the percentage of orders resulting in a refund. Track this to assess product and supplier reliability.
= (QC Inspections Passed / QC Inspections Total) * 100
This indicates the quality compliance of your received items. A declining rate signals quality issues.
= Total Shipping Costs / Units Shipped
This represents the average cost to ship a single item. Use it to evaluate logistics efficiency and cost trends.
Use your spreadsheet's chart tool (like in Excel or Google Sheets) to plot these KPIs over time.
How to build:
Insight:
How to build:
Insight:
By systematically implementing these charts in your PinguBuy spreadsheet, you transform raw data into actionable visual insights. Regularly update and review this dashboard to continuously improve your sourcing performance, control costs, and enhance customer satisfaction.
