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In the competitive landscape of cross-border e-commerce, data-driven decision-making is crucial for sustained growth. Ponybuy, as a leading proxy purchasing platform, requires efficient management and optimization of its product categories to align with market trends and consumer demand. This analysis leverages Spreadsheet-based insights to evaluate sales performance, identify improvement opportunities, and propose actionable optimization strategies.
| Category | Sales Share (%) | YOY Growth | Profit Contribution | Inventory Turns |
|---|---|---|---|---|
| Skincare | 32% | +18% | High | 4.2 |
| Electronics | 25% | +9% | Medium | 3.1 |
| Luxury Goods | 18% | +22% | High | 2.8 |
| Home Decor | 10% | -5% | Low | 1.5 |
| Fashion Accessories | 15% | +2% | Medium | 2.1 |
| Quarter | Action Items | Expected Impact |
|---|---|---|
| Q1 |
|
Inventory reduction (8-12%) |
| Q2 |
|
Category mix correction (+3-5% GM) |
| Q3-Q4 |
|
Full-year sales uplift (projected 9-15%) |
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