In the world of fashion hauls and replica sourcing, consistency is king. Tracking a seller's long-term Quality Control (QC) performance is the most reliable method to identify trusted partners for your future purchases. The OrientDig spreadsheet is a powerful tool designed precisely for this purpose.
Why Historical QC Data Matters
An individual QC photo set provides a snapshot—a single data point. It can show if a specific itemseller or store
Navigating the OrientDig QC Spreadsheet
The OrientDig spreadsheet typically organizes data by seller or store name, with columns tracking performance across multiple dimensions.
| Store/Seller Name | Total QC Posts Tracked | Avg. Rating (1-10) | Common Flags | Consistency Score | Last Updated |
|---|---|---|---|---|---|
| ExampleStore_A | 142 | 8.7 | Minor stitching, color variance | High | 2024-05-15 |
| ExampleSeller_B | 89 | 6.2 | Sizing issues, material flaws | Low | 2024-05-10 |
Key Metrics for Comparison
- Volume & Longevity:
- Average Quality Rating:
- Flag Frequency & Type:same type of flaw? This indicates a persistent weakness in their sourcing or quality check process.
- Consistency Trend:
- Average Quality Rating:
Step-by-Step Comparison Guide
- Filter and Sort:
- Analyze the Trend Line:
- Cross-Reference with Reviews:
- Make a Shortlist:
- Analyze the Trend Line:
Building a Reliable Sourcing Strategy
By systematically using the OrientDig spreadsheet to compare historical QC results, you transform from a casual buyer into a strategic sourcing expert. This process minimizes the risk of disappointing hauls and maximizes your chances of receiving high-quality items. Remember, the goal is to find partners, not just products. Invest time in tracking performance, and your future hauls will thank you.
Start tracking today, and contribute your own QC findings to help the community build an ever-more reliable database.