In the world of B2B sourcing, particularly on platforms like BBD, data-driven decision-making is key. While seller metrics are often presented as raw numbers, visualizing this data through charts can instantly communicate reliability and performance trends. This guide will show you how to create simple yet powerful graphs to track a seller's Quality Control (QC) approval rate and shipping accuracy over time using common spreadsheet tools like Google Sheets or Microsoft Excel.
1. Preparing Your Data
First, organize your data in a structured table. You should have at least the following columns:
- Time Period:
- Orders Received:
- QC Passed:
- QC Approval %:
- Accurate Shipments:
- Shipping Accuracy %:
- Orders Received:
Maintain this log consistently for each transaction or over regular time intervals (e.g., weekly or monthly summaries).
2. Creating the QC Approval Percentage Chart
This line or column chart shows the trend of a seller's quality consistency.
Steps:
- Select the columns for Time PeriodQC Approval %.
- Insert a Line ChartColumn Chart.
- Format the chart:
- Title:
- Vertical Axis (Y):
- Horizontal Axis (X):
- Add a data label to each point for clarity.
- Vertical Axis (Y):
- Title:
Insight:
3. Creating the Shipping Accuracy Over Time Chart
This chart tracks logistical reliability separately from product quality.
Steps:
- Select the columns for Time PeriodShipping Accuracy %.
- Insert another Line Chart.
- Format similarly:
- Title:
- Y-Axis:
- X-Axis:
- Y-Axis:
- Title:
Insight:
4. Advanced Visualization: The Combined Reliability Dashboard
For a comprehensive view, place both charts side-by-side or combine them into a single, dual-axis chart.
Dual-Axis Chart Method:
- Select data for Time Period, QC Approval %, and Shipping Accuracy %.
- Create a Combo Chart.
- Set both metrics as line series. Use different colors (e.g., blue for QC, green for Shipping).
- Ensure both Y-axes are set from 0% to 100%.
- Title:
This combined view instantly reveals if there are correlations between quality drops and shipping errors, providing a powerful snapshot of overall seller health.
Conclusion
Moving beyond raw data to visual charts transforms how you assess sellers on BBDBuy. A simple monthly review of these graphs allows you to quickly identify reliable long-term partners, spot emerging issues before they become critical, and make informed sourcing decisions based on clear, historical performance trends. Start building your tracking spreadsheet today and let the charts guide your strategy.