Leverage historical metrics to build a more reliable and efficient supplier network.
For savvy LoveGoBuy users, managing a portfolio of sellers is key to successful sourcing. While price and product range are important, true reliability is measured by consistent quality and timely delivery. By analyzing your historical spreadsheet data—specifically Quality Control (QC) pass rates and delivery times—you can move from guesswork to data-driven decisions. This guide will show you how to pinpoint your most dependable sellers.
Step 1: Gather and Organize Your Historical Data
Begin by exporting or compiling your past order history into a spreadsheet (like Excel or Google Sheets). Ensure your data includes at least the following columns for each transaction:
- Seller Name/ID:
- Order Date:
- QC Result:
- Ship Date to Warehouse:
- Warehouse Received Date:
- Order Date:
Consolidating data from the last 3-6 months will provide a meaningful sample size for analysis.
Step 2: Calculate Key Performance Indicators (KPIs)
KPI 1: Seller QC Pass Rate
This metric is crucial for assessing product quality consistency.
- Create a pivot table or use formulas to count total orders per seller.
- Count the number of orders that passed
- Calculate the pass rate:
(Number of QC Passes / Total Orders from Seller) * 100. - Calculate the pass rate:
Insight:
KPI 2: Average Seller Delivery Time (to Warehouse)
This measures operational speed and reliability.
- For each passed order, calculate the handling time:
Warehouse Received Date - Order Date. - Use the
AVERAGEIF- Optionally, calculate the range
Insight:and
Step 3: Create a Comparison Dashboard
Visualizing your data makes comparison intuitive.
- Dual-Axis Chart:
- Scatter Plot:top-left corner
This dashboard becomes your master reference for future sourcing decisions.
Step 4: Implement a Tiered Seller Portfolio
Based on your analysis, categorize your sellers:
| Tier | Criteria | Action |
|---|---|---|
| Tier A (Premium) | High QC Pass Rate (>95%) + Low/Stable Delivery Time | Use for high-value items, new product tests, and priority orders. |
| Tier B (Standard) | Good QC Pass Rate (85-95%) + Acceptable Delivery Time | Mainstream suppliers for routine orders. Monitor for improvement or decline. |
| Tier C (Conditional) | Low QC Rate or Unstable/Very Slow Delivery | Use with caution for low-risk items only, or place on probation. Consider replacement. |
Conclusion: Build on a Foundation of Data
Turning your LoveGoBuy transaction history into structured performance data empowers you to optimize your supply chain proactively. By regularly updating your spreadsheet analysis—monthly or quarterly—you can reward reliable sellers, identify problematic trends early, and ultimately ensure a smoother, more predictable purchasing experience. Let data guide your portfolio, and minimize sourcing surprises.
Start by opening your latest order report and building your first comparison table today!