Why Track Seller QC Trends?
Raw data in your ACBuy spreadsheet is a goldmine of insights. By moving beyond individual order checks and analyzing trends over time, you can make smarter, more reliable sourcing decisions. Identifying which seller categories and specific vendors consistently deliver high quality reduces risk and improves your operational efficiency.
Step-by-Step Analysis Method
Step 1: Standardize Your Data
Ensure your ACBuy spreadsheet has consistent columns for:
Seller NameSeller CategoryQC ScoreOrder Date
Step 2: Calculate Average QC by Seller Category
Use spreadsheet functions to segment your data:
- Create a pivot table or use the
AVERAGEIFS - Set the "Seller Category"
- Calculate the average "QC Score"
- Add a count of transactions to ensure statistical significance.
Step 3: Identify Consistent Individual Sellers
Within top-performing categories, drill down further:
- Filter the data for a specific category (e.g., "Electronics Premium").
- Calculate the average QC score and standard deviation
- A high average scorelow standard deviation
- Flag sellers whose performance shows a positive or negative trend over time using a simple line chart.
Step 4: Visualize the Trends
Create simple charts directly in your spreadsheet:
- A bar chart
- A line chart
- A scatter plot
Turning Data into Decisions
By systematically analyzing your ACBuy data, you can:
- Reward Consistency:
- Mitigate Risk:
- Improive Negotiations:
- Optimize Sourcing Strategy: