Analysis and Optimization of Hoobuy's Purchasing Agent Logistics Costs in Spreadsheets

2025-04-27

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.

1. Spreadsheet-Based Logistics Cost Analysis

Table 1: Logistics Cost Components Analysis
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

Key Analysis 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

2. Optimization Strategy Development

  • Parameter Weighting:
  • Carrier Selection Algorithm:
    1. Filter carriers meeting minimum delivery standards
    2. Apply cost minimization script
  • Typical Optimization Scenario

    For 2kg electronics to Germany (300¥ declared value):

    Option Days Cost
    SF-DHL Combined 8-10 ¥175 (best value)
    Pure EMS 7-9 ¥208

3. Spreadsheet Implementation Design

Proposed Sheet Structure

  1. Input Tab:
  2. Calculation Engine:
  3. Carrier rate matching with INDEX-MATCH
  4. IMP because tare brackets differ annually
  5. 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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