A Data-Driven Approach to Smarter Sourcing
In the world of B2B sourcing, data is your most valuable asset. While supplier scorecards provide raw numbers, visual charts transform this data into immediate, actionable insights. By tracking QC Approval PercentageShipping Accuracy
1. Preparing Your Data
Consistent data entry is crucial. Maintain a dedicated sheet with the following columns for each order or monthly summary:
| Period (Month/Week) | Seller Name | QC Checked Items | QC Passed Items | QC Approval % | Total Orders Shipped | Accurate & On-Time Shipments | Shipping Accuracy % |
|---|---|---|---|---|---|---|---|
| 2024-01 | Supplier A | 500 | 485 | 97.0% | 45 | 43 | 95.6% |
| 2024-01 | Supplier B | 750 | 705 | 94.0% | 38 | 35 | 92.1% |
Tip: Use formulas to auto-calculate percentages. For QC: =(QC Passed Items / QC Checked Items) * 100. For Shipping: =(Accurate Shipments / Total Orders Shipped) * 100.
2. Building the Charts
Chart A: Dual-Axis Trend Line for a Single Seller
This chart tracks both key metrics over time for one supplier, revealing correlations between quality and logistics performance.
[Imagine a line chart here. X-axis: Time Periods. Left Y-axis: QC Approval % (0-100%). Right Y-axis: Shipping Accuracy % (0-100%). Two lines showing trends for each metric.]
Steps:
- Select your data range (Period, QC Approval %, Shipping Accuracy %).
- Insert a Combo Chart.
- Set "QC Approval %" as a Line series (primary axis).
- Set "Shipping Accuracy %" as a second Line series (secondary axis).
- Add axis titles and a clear chart title (e.g., "Supplier A: Performance Trends").
Chart B: Clustered Column for Multi-Seller Comparison
Compare the current performance of multiple sellers at a glance. Ideal for quarterly reviews.
[Imagine a clustered column chart. X-axis: Seller Names. Two grouped bars per seller: one for QC Approval %, one for Shipping Accuracy %.]
Steps:
- Select data for a specific period (Seller Name, QC Approval %, Shipping Accuracy %).
- Insert a Clustered Column Chart.
- Format data series distinctly (e.g., green for QC, blue for Shipping).
- Add data labels for clarity.
3. Interpreting the Visual Insights
- Upward Trends:
- Diverging Lines:
- Seasonal Dips:
- Peer Benchmarking:
- Diverging Lines:
Conclusion: From Data to Decisions
Static tables tell you what happened; dynamic charts show you whywhere