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A Guide to Building Insightful Reports Using Pivot Tables

The Challenge: Siloed Logistics Data

For e-commerce sellers and supply chain managers using services like HubBuyCN, critical data often lives in separate streams. Quality Control (QC) fail ratesshipping timesparcel costs

The Solution: A Combined Analytics Hub

The HubBuyCN SpreadsheetThe Pivot Table.

By merging these datasets, you can analyze:

QC Pass/Fail Rate
Average Shipping Time & Cost
Total Landed Cost

Building Your Integrated Pivot Table Report

Follow this step-by-step guide to create your own analysis.

Step 1: Data Preparation

Create a master spreadsheet with the following columns for each shipment batch:

Data Source Suggested Columns

QC Data Batch ID, Supplier, QC Date, Quantity Checked, Quantity Failed, Failure Reason, QC Status (Pass/Fail)

Shipping Data Batch ID, Shipping Route/Carrier, Parcel ID, Dispatch Date, Delivery Date, Shipping Cost, Destination Country

Combined Field (Key) Use a unique identifier like Batch IDParcel ID

Step 2: Create the Pivot Table

Highlight your combined data range and insert a Pivot Table. Use these configurations:

Rows:Shipping RouteSupplier.

Columns (or separate sheets):
Values:

Average of Shipping Time (Days)

Sum of Shipping Cost

Count of Parcel ID
Average of QC Fail Rate %
Filters:Destination CountryTime Period
Step 3: Generate Insightful Comparisons Build these specific table views to drive decisions: Report Focus Pivot Table Layout Key Insight Cost vs. Quality by Route Rows: Route. Values: Avg. Shipping Cost, Avg. QC Fail Rate %. Identify routes that are "cheap but risky" vs. "reliable but premium." Speed vs. Reliability Rows: Route. Values: Avg. Shipping Time, Count of Parcels (Delivered), Avg. QC Fail Rate %. See if the fastest routes maintain consistent quality and delivery performance. Total Landed Cost Analysis Rows: Supplier + Route. Values: Sum of Product Cost, Sum of Shipping Cost, Calculated Cost of Failures. Determine the true total cost of each sourcing and shipping combination.
Actionable Outcomes This integrated analysis empowers you to: Negotiate Better: Optimize Routing: Forecast Accurately: Spot Systemic Issues: Conclusion The power of the HubBuyCN Spreadsheet Start merging your datasets today—your first insightful report is just a few clicks away.

HubBuyCN Spreadsheet: Integrating QC and Shipping Analytics for Smarter Logistics Decisions

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The Challenge: Siloed Logistics Data

The Solution: A Combined Analytics Hub

Building Your Integrated Pivot Table Report

Step 1: Data Preparation

Step 2: Create the Pivot Table

Step 3: Generate Insightful Comparisons

Actionable Outcomes

Data Source	Suggested Columns
QC Data	Batch ID, Supplier, QC Date, Quantity Checked, Quantity Failed, Failure Reason, QC Status (Pass/Fail)
Shipping Data	Batch ID, Shipping Route/Carrier, Parcel ID, Dispatch Date, Delivery Date, Shipping Cost, Destination Country
Combined Field (Key)	Use a unique identifier like Batch IDParcel ID

Report Focus	Pivot Table Layout	Key Insight
Cost vs. Quality by Route	Rows: Route. Values: Avg. Shipping Cost, Avg. QC Fail Rate %.	Identify routes that are "cheap but risky" vs. "reliable but premium."
Speed vs. Reliability	Rows: Route. Values: Avg. Shipping Time, Count of Parcels (Delivered), Avg. QC Fail Rate %.	See if the fastest routes maintain consistent quality and delivery performance.
Total Landed Cost Analysis	Rows: Supplier + Route. Values: Sum of Product Cost, Sum of Shipping Cost, Calculated Cost of Failures.	Determine the true total cost of each sourcing and shipping combination.