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HubBuyCN: How to Visualize Shipping Efficiency Through Spreadsheet Charts

2025-12-18

Transform raw logistics data into actionable insights by creating graphs to analyze average delivery times and identify seasonal delays or customs bottlenecks.

For businesses using services like HubBuyCN for cross-border sourcing and shipping, managing logistics efficiency is crucial. Spreadsheet tools like Microsoft Excel or Google Sheets offer powerful, accessible ways to visualize shipping data. By moving beyond simple tables, you can quickly spot trends, pinpoint problems, and make data-driven decisions to optimize your supply chain.

Step 1: Preparing Your Data

Effective visualization starts with well-organized data. Your spreadsheet should include at least the following columns for each shipment:

Order ID: Unique identifier.
Ship Date: Date the item was dispatched.
Delivery Date: Date the item was received.
Total Transit Days: Calculated (Delivery Date - Ship Date).
Shipping Method: e.g., Air Express, Sea Freight.
Destination Country
Cleared Customs Date: Date it cleared customs (optional but valuable).
Status: Delivered, In Customs, Delayed, etc.

Ensure your dates are in a consistent format to allow for accurate calculations.

Step 2: Creating Charts for Analysis

1. Analyzing Average Delivery Times

Recommended Chart: Column Chart or Line Chart

First, calculate average transit days for relevant groups (e.g., per month, per shipping method, per destination).

How to Create:

Create a summary table showing, for example, Average Transit Days per Month.
Highlight the data (months and averages).
Insert a Clustered Column ChartLine Chart.

Insight Gained:

2. Identifying Seasonal Delays

Recommended Chart: Line Chart with Multiple Years

Seasonality often impacts shipping (e.g., Chinese New Year, Black Friday, holiday seasons).

How to Create:

Organize your data by month and year (e.g., Jan-2023, Feb-2023).

Pivot your data to compare the same month across different years.

Plot this data as a multi-line chart, with each line representing a year.

Insight Gained:

3. Spotting Customs Bottlenecks

Recommended Chart: Combo Chart (Column + Line) or Scatter Plot

To analyze customs delays, calculate "Customs Hold Days" (if you have the data): Cleared Customs Date - Arrival at Port Date.

How to Create - Method A (Combo Chart):

Create a summary of Average Transit DaysAverage Customs Hold Days
Insert a Combo Chart. Use columns for Average Transit DaysAverage Customs Hold Days.

How to Create - Method B (Scatter Plot):

Use raw shipment data. Plot Total Transit DaysCustoms Hold Days
Color-code points by destination country.

Insight Gained:

Pro Tips for Effective Charts

Keep it Simple:
Use Color Strategically:
Add Trendlines:
Create a Dashboard:

Conclusion

Visualizing HubBuyCN shipping data through spreadsheet charts transforms complex logistics information into clear, visual stories. By systematically tracking average delivery times, seasonal patterns, and customs performance, you move from reacting to problems to proactively managing your logistics. This empowers you to communicate more effectively with your supplier and logistics partners, adjust timelines with customers, and ultimately build a more resilient and efficient import process.