In cross-border procurement platforms like Hoobuy, logistics cost optimization directly impacts profit margins. This article explores analytic methodologies for shipping data in spreadsheets and proposes combinatorial solutions to reduce expenses while maintaining service standards.
| Data Field | Description | Example Values |
|---|---|---|
| Shipping Channel | Courier service provider | DHL, EMS, SF-Express |
| Weight Tier | Price brackets by weight | 0-500g, 501-1000g |
| Volumetric Divisor | DIM factor for dimensional weight | 5000 (China standard) |
| Base Freight | Per shipment charge | ¥15-35 |
| Per kg Rate | Variable weight charge | ¥45/kg for 0-5kg tier |
| Insurance % | Declared value fee | 3% of item value |
(L×W×H)/VolumetricDivisorMAX(ActualWeight, DimensionalWeight)BaseFreight + (BillableWeight × PerKgRate)
Use spreadsheet pivot tables to compare scenarios across:
For packages over 2kg: Use sea freight to regional hubslast-mile couriers, achieving 30-45% savings vs pure express.
Categorize items using VLOOKUP
QUERY
INDEX-MATCH
Proper implementation can yield: 18-22% logistics cost reduction
Pro Tip: Freeze threshold tables as NAMED RANGES
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