For savvy LoveGoBuy users, building a reliable supplier network is key to a smooth shopping experience. Moving beyond guesswork, you can leverage historical data from your orders to make informed decisions. This guide will show you how to use simple spreadsheet analysis to compare sellers based on Quality Control (QC) Pass RatesDelivery Times, helping you identify your most dependable partners.
Step 1: Data Collection and Organization
Start by creating a spreadsheet (e.g., in Excel or Google Sheets) with data from your past LoveGoBuy orders. Your columns should include:
- Seller Name/ID: The specific store or supplier.
- Order Date
- QC Result: Mark as "Pass" or "Fail".
- QC Photos Received Date
- Warehouse Received Date: When LoveGoBuy confirms the item is in their warehouse.
- Shipping Date: When the parcel is dispatched.
Consistently logging this information for 10-20 orders per seller will provide a meaningful sample size.
Step 2: Calculating Key Performance Indicators (KPIs)
A. Seller Reliability Score: QC Pass Rate
This metric reveals a seller's consistency in sending items that meet your standards.
Formula:
In your spreadsheet, use the COUNTIF95% pass rate70% rate
, as the latter likely leads to more exchanges, refunds, and delays.
B. Seller Efficiency Score: Average Processing & Delivery Time
This measures speed from order to warehouse. Calculate two columns:
- Processing Time:
QC Photos Date - Order Date - To-Warehouse Time:
Warehouse Received Date - Order Date
Then, use the AVERAGE
Step 3: Visual Comparison and Decision Matrix
Create a summary table for a clear, side-by-side view:
| Seller | Total Orders | QC Pass Rate | Avg. to-Warehouse Time (Days) | Reliability Tier |
|---|---|---|---|---|
| Seller_A | 15 | 98% | 5.2 | Top Tier |
| Seller_B | 12 | 85% | 7.8 | Balanced |
| Seller_C | 10 | 65% | 12.5 | High Risk |
You can now plot this data on a simple scatter plot, with Pass Rate on one axis and Delivery Time on the other. The sellers in the top-left quadrant
Implementing Your Findings
Use this analysis to strategically manage your LoveGoBuy portfolio:
- Prioritize Top Performers: Funnel more orders to your high-tier sellers (like Seller_A).
- Use Mid-Tier Wisely: For less critical items, the balanced sellers may offer better prices.
- Flag or Avoid High-Risk Sellers: Set stricter rules for sellers like Seller_C, or avoid them for valuable purchases.
- Monitor Trends: Update your spreadsheet regularly. A declining pass rate is an early warning sign.
By transforming raw order data into actionable insights, you take control of your sourcing quality and efficiency, ensuring a smoother, more predictable LoveGoBuy experience.