1. QC Performance by Shipping Route
This reveals if certain carriers or corridors have higher defect rates.
- Rows:
- Values:% Failure Rate)
- Filter:
HubBuyCN Spreadsheet: Integrating QC & Shipping Analytics for Actionable Insights
2025-12-14
Learn how to build pivot tables to compare QC rates, shipping times, and costs across routes.
The Challenge: Disconnected Data
For e-commerce businesses using fulfillment services like HubBuyCN, quality control (QC) and shipping data often live in separate reports. This makes it difficult to answer critical questions: Are faster shipping routes leading to more QC failures? Is the lowest-cost carrier reliably delivering intact goods?
By combining these datasets in a single spreadsheet, you unlock a holistic view of your supply chain performance.
The Solution: A Consolidated Analytics Hub
The HubBuyCN SpreadsheetQC reportsshipping analytics
Use the Order IDVLOOKUPXLOOKUP
Key Data Points to Combine:
Power of Pivot Tables: Multi-Dimensional Analysis
With your consolidated data, pivot tables become your most powerful tool. Here’s how to structure them:
2. Average Shipping Time & Cost vs. QC Rate
A dashboard-style table to weigh speed and price against quality.
- Rows:
- Values:
Spot trends: Does the cheapest route have a 20% longer transit time? Does the fastest route have a higher QC pass percentage, justifying its cost?
3. Monthly Trend Analysis
Track performance over time to identify seasonal issues or carrier deterioration.
- Rows:
- Columns:
- Values:
- Columns:
Generating Insightful Reports & Actionable Steps
These pivot tables transform raw data into clear directives:
- Identify & Validate the Best Route:cost, speed, and reliability (QC pass rate)
- Flag Underperforming Corridors:
- Optimize for Product Type:
- Calculate True Total Cost:
- Flag Underperforming Corridors:
Conclusion: Data-Driven Decision Making
By combining QC and shipping data within the HubBuyCN Spreadsheet
Start by merging your next set of reports—the insights await.