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ACBuy: How to Analyze Seller QC Trends from Spreadsheet Data

2026-01-14

In the world of sourcing, data is more than just numbers—it reveals patterns. For users of the ACBuy platform, the spreadsheet data generated from product inspections is a goldmine of insights into seller reliability. By analyzing Quality Control (QC) trends, you can move beyond one-off transactions and build relationships with consistently high-performing suppliers. This guide will show you how to track average QC performance by seller category within your ACBuy Spreadsheet.

Why Track Seller QC Trends?

Simply reviewing individual QC reports is reactive. A proactive sourcing strategy requires identifying patterns over time. Tracking trends allows you to:

  • Identify Rock-Star Sellers:
  • Spot Deteriorating Performance:
  • Benchmark Suppliers:
  • Mitigate Risk:

Step-by-Step: Analyzing Average Performance by Seller Category

Your ACBuy Spreadsheet typically contains key columns like Seller Name, Product Category, QC Date, QC Score/Result, and Defect Details. Here’s how to transform this raw data into actionable insight.

Step 1: Standardize & Clean Your Data

Ensure consistency. Group similar sellers or product types under standardized category names. For example, "T-Shirts," "shirts," and "Apparel" should be consolidated into a single category like "Garments." This clean-up is crucial for accurate trend analysis.

Step 2: Categorize Your Sellers

Create a Seller Category

  • Product Type:
  • Business Model:
  • Performance Tier: Categorization allows for meaningful comparisons between like-for-like suppliers.

    Step 3: Calculate Key Metrics

    For each seller and each order, calculate or note the primary QC metric. This is often a Pass/Failnumerical score

    • Average QC Score:
    • Pass Rate (%):
    • Major Defect Frequency:

    Step 4: Visualize the Trends

    Use your spreadsheet's charting tool (like Pivot Charts in Excel or Google Sheets).

    • Create a bar chart
    • Build a line chart
  • Identifying Consistent High Performers

    The true value comes from layering time on your analysis. A consistent high performer isn't defined by a single 100% score but by a sustained high average with low variance

    1. Filter for Time:
    2. Rank Sellers within Category:
    3. Check for Consistency:98%)?
    4. Flag for Strategic Partnership:

    Turning Insight into Action

    The patterns revealed are only as good as the decisions they inform. Use your analysis to:

    • Create a Preferred Seller List:
    • Guide Sourcing Decisions:
    • Structure Better Agreements:

    By systematically analyzing QC trends from your ACBuy Spreadsheet data, you convert routine quality checks into a powerful strategic tool for building a resilient and high-quality supply chain.