1. QC Approval Rate Trend Chart (Line Chart)
This chart shows the percentage of orders passing QC over time.
- X-axis:
- Y-axis:
- How to Create:(Number of QC Approved Orders / Total Orders Sampled) * 100
- Y-axis:
Insight:
HubBuyCN Spreadsheet Analytics: Visualizing QC & Refund Ratios
2026-03-14
Track performance trends through clear data visualization to optimize your sourcing strategy.
Effective data analysis is crucial for successful sourcing. By transforming raw HubBuyCN spreadsheet data—specifically Quality Control (QC) approval ratesrefund frequencies—into intuitive charts, you can move beyond reactive problem-solving to proactive strategy improvement. This guide outlines the process to create visualizations that reveal long-term supplier and product performance.
Step 1: Data Preparation & Structuring
Organize your HubBuyCN order data in a structured format. Essential columns include:
- Order Date / Month:
- Supplier Name/ID:
- Product SKU:
- QC Status:
- Refund Status:
- Order Value:
- Supplier Name/ID:
Use consistent categorization. For example, standardize all QC rejections under codes like "Color Mismatch" or "Defective."
Step 2: Creating the Visualizations
2. Refund Frequency & Reason Chart (Stacked Bar or Column Chart)
This visualization highlights the volume and causes of refunds.
- X-axis:
- Y-axis:
- Segmentation:
- Y-axis:
Insight:
3. Supplier Performance Scatter Plot / Bubble Chart
A powerful chart for rating suppliers on two key metrics simultaneously.
- X-axis:
- Y-axis:
- Bubble Size (Optional):
- Y-axis:
Insight:
Step 3: Identifying Long-Term Trends
With your charts created, analyze them for actionable trends:
| Trend Pattern | Possible Cause | Actionable Step |
|---|---|---|
| Gradual decline in QC rates for a specific supplier | Declining manufacturing standards, communication breakdown. | Initiate a supplier review meeting; increase inspection frequency. |
| Seasonal spikes in refunds for all suppliers | Holiday rush, logistics congestion. | Plan inventory and shipping timelines earlier; adjust customer expectations. |
| High refund rate despite good QC for a product | Possible misaligned expectations, inaccurate product listing. | Audit and improve product descriptions, images, and specifications. |
Conclusion: From Data to Decisions
Static spreadsheets hide insights; visualizations reveal them. By regularly updating and reviewing QC Approval RateRefund Ratio