CNFANS Spreadsheet: Monitor Delivery Speed by Courier Line
The CNFANS Spreadsheet transforms how e-commerce sellers analyze shipping performance by automatically calculating and ranking courier lines based on your actual delivery data.
The Shipping Analysis Challenge
Most sellers struggle with:
- Manual calculation of average delivery times across multiple shipping lines
- Difficulty identifying consistently underperforming couriers
- No clear data to justify switching to better-performing shipping options
- Time-consuming spreadsheet updates with each new shipment
Automated Courier Performance Ranking
The CNFANS Spreadsheet solution automatically:
- Calculates average delivery time for each courier line using your historical data
- Ranks shipping lines from fastest to slowest
- Updates rankings as new delivery data is added
- Highlines consistent performers and identifies problematic carriers
How to Set Up Automatic Courier Ranking
Step 1: Input Your Historical Shipping Data
Add columns for:
| Column | Description | Example |
|---|---|---|
| Order Date | When the order was placed | 2024-01-15 |
| Shipping Line | Courier service used | Yanwen Economic, China Post |
| Delivery Date | When customer received package | 2024-02-05 |
Step 2: Add Delivery Time Calculation
Create a column that calculates total delivery days:
=Delivery Date - Order Date
Step 3: Configure Automatic Averaging
Use spreadsheet functions to calculate averages by courier:
=AVERAGEIF(Courier_Column, "Specific Courier", DeliveryTime_Column)
Step 4: Implement Automatic Ranking
Use the RANK function to sort couriers by performance:
=RANK(Average_Delivery_Time, Range_of_All_Averages, 1)
The courier with rank "1" has the fastest average delivery time.
Step 5: Set Up Automatic Updates
As you add new orders, the calculations automatically update, and rankings adjust in real-time.
Sample Courier Performance Dashboard
| Rank | Courier Line | Average Delivery (Days) | Total Shipments | Performance Status | Example |
|---|---|---|---|---|---|
| 1 | UPS Express | 6.2 | 15 | Best Performer | Spain: 4-8 days |
| 2 | DHL eCommerce | 7.8 | 24 | Reliable | Brazil: 6-10 days |
| 3 | Yanwen Economic | 18.5 | 42 | Economy Option | Canada: 16-21 days |
| 4 | China Post Air Mail | 24.3 | 56 | Slowest | USA: 21-29 days |
Key Benefits of Automatic Courier Ranking
Data-Driven Shipping Decisions
Choose couriers based on actual performance data rather than assumptions or advertised speeds.
Eliminate Manual Analysis
No more manual calculations or sorting through multiple shipments to compare courier performance.
Identify Trends Over Time
Watch how courier performance changes seasonally and adjust your shipping strategy accordingly.
Optimize for Different Destinations
Create separate rankings for different regions to identify the best courier for specific countries.
Practical Applications for Your Business
Premium vs. Economy Shipping Tiers
Use your performance data to create clearly defined shipping tiers with realistic delivery expectations.
Courier Performance Contracts
Use your data to negotiate better rates with couriers based on their demonstrated performance.
Customer Communication
Provide accurate delivery estimates based on your actual shipping data to specific destinations.
Inventory Planning
Adjust your restock timing based on the actual delivery speeds of your preferred shipping lines.
Troubleshooting Common Issues
Inconsistent Delivery Time Data
Standardize your tracking method to ensure accurate delivery date information.
Small Sample Size
Wait until you have at least 5-10 shipments with a courier before drawing conclusions about performance.
Seasonal Variations
Be aware that holiday seasons and peak shopping periods may temporarily affect delivery times.