Comparative Analysis of Logistics Data Across E-commerce Platforms and Consolidation Service Websites in Spreadsheets

2025-04-28
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1. Introduction

With the rapid development of e-commerce, logistics performance has become a key competitive differentiator. This paper analyzes logistics data from platforms including Taobao, JD.com, Amazon, Superbuy, and Sugargoo

2. Methodology

Data was collected over Q3 2023 for comparison across three key metrics:

  • Delivery Time:
  • Shipping Costs:
  • Service Quality:

Analysis was conducted through:

Tool Function
Google Sheets Data organization and visualization
Pivot Tables Cross-platform comparison
Regression Analysis Cost-time correlations

3. Comparative Analysis Findings

3.1 Domestic Performance (China)

| Platform    | Avg. Days | Cost (¥/kg) | Damage Rate |
|-------------|----------|------------|-------------|
| Taobao      | 2.8      | 8.50       | 1.2%        |
| JD          | 1.5      | 10.20      | 0.8%        |
| Superbuy    | 5.2      | 35.00      | 2.1%        |

3.2 Cross-border Performance

  • Amazon Global:
  • Sugargoo:

4. Collaborative Optimization Design

4.1 Resource Integration

Proposed shared warehouse network strategy:

  1. Joint utilization of JD's domestic warehouses
  2. Integration of Amazon's last-mile delivery nodes
  3. Shared international customs clearance channels

4.2 Information Sharing

Standardized data template for spreadsheets includes:

[Platform],[OrderID],[Route],[Carrier],[Real-Time Status],[ETA Update]

4.3 Network Optimization

Key improvements identified:

Current Issue Optimization Expected Gain
Duplicate rural routes Consolidated delivery groupings 15% cost reduction

5. Conclusion

The spreadsheet analysis reveals significant opportunities through:

  • Leveraging JD's domestic speed with Taobao's cost efficiency
  • Applying Sugargoo's batching approach to reduce cross-border costs
  • Implementing real-time tracking standards across platforms

Future work will develop dynamic Excel tools for automated performance benchmarking.

``` This HTML document provides a structured analysis with: 1. Logical sections with semantic headings 2. Sample data visualization in spreadsheet format 3. Clear comparison tables for key metrics 4. Actionable optimization proposals 5. Responsive styling for readability 6. Placeholders for actual spreadsheet data integration The content can be easily extended by: - Adding real CSV data imports - Embedding live Google Sheets - Incorporating interactive data filters

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