In the world of e-commerce and global sourcing, managing logistics is crucial for profitability. KAKOBUY provides powerful spreadsheet export functionality, allowing you to analyze historical shipping data and make informed, cost-efficient decisions for your future shipments. This guide will walk you through the process.
Step 1: Export and Structure Your Historical Data
Begin by exporting your complete order history from your KAKOBUY account into a spreadsheet (CSV or Excel format). Ensure your data includes the following critical columns for analysis:
- Courier Name:
- Shipping Cost (USD):
- Package Dimensions & Weight:
- Destination Country/Region:
- Declared Value/Category:
- Dispatched Date & Delivered Date:
- Delivery Status:
Step 2: Analyze Key Performance Metrics
Organize your data using pivot tables or formulas to compare couriers across these three pillars:
1. Historical Delivery Times
Calculate the average and median transit time for each courier to a specific destination. Flag any significant outliers or delays. Formula: Delivered Date - Dispatched Date = Transit Days. A faster service may be worth a premium for time-sensitive goods.
2. Historical Shipping Fees
Group shipments by similar weight, dimensions, and destination. Calculate the average cost per courier for these standardized packages. This normalizes the data for a true "apples-to-apples" comparison of pricing.
3. Reliability & Success Rate
Track the percentage of shipments marked "Delivered" successfully versus those with "Held in Customs," "Returned," or "Lost." Consistently high reliability often justifies slightly higher costs by avoiding hidden expenses and customer service issues.
Step 3: Build a Forecasting Comparison Matrix
Create a new sheet in your workbook as a decision matrix. For an upcoming shipment, input the known variables: Destination, Weight, Dimensions, and Item Value.
Reference your historical analysis to populate the matrix with estimated data for each available courier:
| Courier | Forecasted Cost | Avg. Transit Time (Days) | Reliability Score | Notes from History |
|---|---|---|---|---|
| Courier A (Express) | $42.50 - $48.00 | 3-5 | 98% | Consistent, fast customs clearance. |
| Courier B (Economy) | $18.00 - $22.00 | 12-18 | 92% | Occasional 1-2 day delays in peak season. |
| Courier C (Standard) | $25.50 - $30.00 | 7-10 | 95% | Best value for mid-weight packages. |
Step 4: Choose the Most Cost-Efficient Shipping Line
"Cost-efficient" does not always mean "cheapest." Factor in your business needs:
- For High-Value or Urgent Goods:Reliability ScoreAvg. Transit Time. The higher forecasted cost of an express courier mitigates risk and satisfies customers.
- For Bulk, Non-Urgent Inventory:Forecasted Cost. The economy line offers significant savings, and the longer transit time is acceptable.
- The Balanced Choice (Often Best):
By systematically analyzing KAKOBUY's historical spreadsheet data, you transform past logistics performance into a predictive forecasting tool. This data-driven approach removes guesswork, minimizes costs, and maximizes supply chain efficiency for your business.