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OrientDig: Evaluating Seller Performance Trends with Spreadsheet Analysis

In the dynamic world of e-commerce, identifying reliable sellers is crucial for business stability and growth. The OrientDig Spreadsheet, often containing key supplier data, can be transformed into a powerful tool for evaluating seller performance. By systematically analyzing specific metrics, you can spot trends, mitigate risk, and build a stronger supply chain.

Core Metrics for Evaluation

Focus on these three critical data points within your spreadsheet to build a clear performance picture:

  • QC (Quality Control) Results:
  • Rejection Rate:
  • Refund/Frequency:

Step-by-Step Analysis Using Spreadsheet Filters

Step 1: Data Organization

Ensure your OrientDig spreadsheet has clear columns for: Seller Name, Order Date, QC Pass %, Batch Rejected (Y/N), and Refund Issued (Y/N). Add a Performance Score

Step 2: Filtering for Trends Over Time

Use your spreadsheet's date filtersQC Results

Step 3: Identifying High and Low Performers

Apply conditional formattinggreenredVisually scan to quickly identify sellers with predominantly green or red highlights.

Step 4: Cross-Referencing Metrics

This is where filters become powerful. Follow these steps: filterRejection Rate below 3%. sortQC Pass % (Descending). Refund Frequencyhigh-performer.

Step 5: Creating a Shortlist & Taking Action

Copy the filtered list of high-performing sellers to a new worksheet tab labeled "Preferred Sellers." For sellers showing negative trends, use similar filtering to create a "Review Needed" list. Schedule proactive discussions with them to address the declining metrics.

Conclusion

You don't always need complex software to gain valuable insights. By strategically using the filter, sort, and conditional formattingQC results, rejection rates, and refund frequency

Tip: Perform this analysis monthly to keep your seller assessments timely and actionable.

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