In the complex world of cross-border e-commerce, data often lives in isolated silos. Purchase costs are tracked in one place, while Quality Control (QC) results reside in another. The true performance of your sellers remains hidden. The EastMallBuy Spreadsheet
Typically, procurement teams manage: Analyzing these separately leads to incomplete conclusions. A seller might be cheap (good financials) but deliver poor quality (bad QC), or vice-versa. Without merging, you can't see the full picture. The core of the EastMallBuy approach is a single, master spreadsheet that connects every purchase order (PO) to both its cost and its quality outcome. Here's how to build it: Create a unique identifier for each order, such as a Purchase Order NumberSupplier Batch Code. This will be the anchor for merging data. In your master sheet, use a This brings the defect rate for that specific order directly next to its cost information. With merged data, you can create powerful visualizations to compare sellers holistically: Chart 1: Cost vs. Quality Scatter Plot Plot sellers on a graph with "Average Unit Cost" on the X-axis and "Pass Rate" or "Defect Rate" on the Y-axis. Instantly identify: Chart 2: Total Cost of Quality (TCOQ) by Seller Create a calculated column: The Problem: Disconnected Data Streams
The Solution: Creating a Unified Master Sheet
1. Define Your Key Linking Field
2. Structure Your Data Tables
Financial Data Table
QC Data Table
3. Merge Using Formulas
VLOOKUP, XLOOKUP, or INDEX-MATCH
=XLOOKUP(A2, QC_Table[PO Number], QC_Table[Major Defect Rate %], "No QC Data")Visualizing Full Purchase Performance
Seller Scorecard Dashboard
(Defect Rate % * Order Quantity * Unit Cost). This estimates the financial impact of poor quality. A bar chart ranking sellers by this "hidden cost" reveals who is truly expensive.Key Benefits of the Integrated Approach
EastMallBuy Spreadsheet: Merging QC Data with Financial Records
2025-12-29