For e-commerce sellers and sourcing professionals, managing data across multiple stages—from quality control inspections to final shipping costs—often means juggling disparate reports and documents. This fragmentation slows down analysis, complicates cost calculation, and hinders agile decision-making. The solution? Consolidating QC and shipping data into a single, master spreadsheet.
Typically, information lives in isolated files: Cross-referencing these to calculate the true landed cost per unit
By creating a single spreadsheet that integrates key fields from each stage, you build a comprehensive view of every order. Here’s a blueprint for your consolidated document: Key Formulas: Combining QC and shipping data into a single spreadsheet is more than an organizational tactic—it's a strategic move towards greater supply chain intelligence. VigorBuy
The Problem: Disconnected Data Silos
The Solution: A Unified Data Structure
Order ID
SKU
Quantity
Unit Cost ($)
QC Status
Defect Rate (%)
Actual Shippable Qty
Shipping Cost ($)
Total Landed Cost ($)
Cost Per Good Unit ($)
VB2024001
WB-105
1000
5.00
Passed
2%
980
450
5450
5.56
Total Landed Cost = (Unit Cost * Quantity) + Shipping Cost
Cost Per Good Unit = Total Landed Cost / Actual Shippable Qty
This immediately reveals the financial impact of QC failures on your final cost.
Implementation Steps
Benefits for Decision-Making
Conclusion
VigorBuy: How to Combine QC and Shipping Data in a Single Spreadsheet
2026-02-18