This article explores how to analyze Hoobuy's purchasing agent logistics data using spreadsheets and design an optimized shipping combination strategy to reduce costs while maintaining service quality.
| Data Category | Spreadsheet Metrics | Analysis Method |
|---|---|---|
| Carrier Options | DHL, EMS, SF Express costs per kg | Comparative cost matrix |
| Additional Fees | Insurance, customs clearance fees | Percentage of order value |
| Dimensional Factors | Weight vs. volumetric weight | MAX(actual_weight, vol_weight) formulas |
// Toll cost estimation (China exports)
=IF(Destination="US",VLOOKUP(Weight,US_Tariff_Matrix,2),...)
// Total shipping cost template
=(Base_Fee + (Weight*Per_Kg_Rate)) * (1+Insurance%) + Duties
For 2kg electronics to Germany (300¥ declared value):
| Option | Days | Cost |
|---|---|---|
| SF-DHL Combined | 8-10 | ¥175 (best value) |
| Pure EMS | 7-9 | ¥208 |
Sample Google Apps Script automation:
function optimizeShipment() {
const rules = {Under2kg: "SF-Economy",...};
// Applies business rules to order data
}
Pilot testing showed 19.4¥ average savings per package (14.3% reduction) versus manual selection```
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