As a savvy LoveGoBuy user, you know that not all Taobao or 1688 sellers are created equal. Leveraging historical data is key to building a reliable supplier portfolio. This guide will show you how to use simple spreadsheet analysis to identify top performers based on QC pass ratesdelivery times.
Step 1: Data Collection & Structure
First, export your LoveGoBuy order history or manually create a log. Your spreadsheet should include these core columns:
| Seller Name | Order Date | Item Received at Warehouse | QC Status (Pass/Fail) | Notes |
|---|---|---|---|---|
| Seller_A | 2023-10-01 | 2023-10-05 | Pass | Good packaging |
| Seller_B | 2023-10-03 | 2023-10-10 | Fail | Color mismatch |
Tip: Consistently log every transaction, including failures. More data means greater accuracy.
Step 2: Calculate Key Performance Indicators (KPIs)
Create a summary sheet to analyze each seller. The essential KPIs are:
- Historical QC Pass Rate:
- Average Domestic Delivery Time:
- Order Volume:
- Average Domestic Delivery Time:
Use spreadsheet functions like COUNTIFAVERAGEIF
Step 3: Visualize for Clear Comparison
Convert your data into charts for instant insight:
- Dual-Axis Chart:top-left corner
- Bar Chart:
Visualization quickly highlights outliers—both exceptional and problematic sellers.
Step 4: Make Data-Driven Decisions
Use your analysis to categorize sellers:
- Premium Partners:95%), fast & consistent delivery. Prioritize for valuable or time-sensitive items.
- Moderate/Selective Use:
- Needs Review/Replace:
This system minimizes risks, delays, and unexpected QC failures, saving you time and money.
Maintaining Your Advantage
Update your spreadsheet monthly. Tracking performance over time allows you to spot positive or negative trends, ensuring your LoveGoBuy sourcing strategy remains optimized for reliability and efficiency. Let historical data guide your future purchases for a smoother agent experience.