Turn your raw records into actionable graphs to identify performance patterns and unlock cost-saving opportunities.
For e-commerce sellers using USFANS, managing Quality Control (QC) fails and customer refunds is a critical part of the business. While spreadsheets store this data, true insight lies beyond rows and columns. This guide shows you how to transform your USFANS spreadsheet records into clear, visual charts that tell the story of your performance and costs.
Why Visualize Your USFANS Data?
Spot Trends Instantly
See seasonal spikes in refunds or recurring QC issues for specific products at a glance, rather than sorting through tables.
Pinpoint Cost Centers
Identify which product lines, suppliers, or time periods are causing the greatest financial drain from refunds and failed inspections.
Track Improvement
Visualize the impact of new suppliers or updated QC checklists over time to prove what’s working.
How to Turn Your Spreadsheet into Graphs
- Prepare Your USFANS Data:Date, Product SKU, Supplier, QC Fail Reason, Refund Amount, Refund Reason.
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Choose the Right Chart Type:
- Line or Bar Chart:number of QC fails or total refund value per month
- Pie or Donut Chart:proportion of refunds caused by different reasons
- Column Chart:average refund rate across different suppliers.
- Scatter Plot:product price points and refund frequency.
- Pie or Donut Chart:proportion of refunds caused by different reasons
- Line or Bar Chart:number of QC fails or total refund value per month
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Use Your Tool's Chart Feature:
- Customize and Label:
Practical Example: Quarterly Cost Analysis
Imagine you create a dual-axis chart
This visualization may reveal that while QC fails spiked in January, the highest refund costs occurred in March due to a few high-value items. This insight directs your focus to cost controlfailure count.
Identifying Cost-Saving Opportunities
Your charts will directly highlight areas for action:
| Pattern Found | Potential Action |
|---|---|
| One supplier consistently leads in "Defective" QC fails. | Re-negotiate terms, implement stricter pre-shipment checks, or switch suppliers. |
| "Size/Fit" is the top refund reason for a clothing category. | Revise size charts, enhance product photos with measurements, or update description accuracy. |
| Refund rates plummet after a specific QC checklist update. | Standardize that checklist across all similar products and suppliers. |