Ponybuy Product Category Analysis & Optimization Strategy Based on Spreadsheet Data
2025-04-25
1. Introduction
This report analyzes Ponybuy's purchasing agent product category performance through spreadsheet data visualization, aiming to optimize the product portfolio by identifying underperforming categories and emerging market opportunities to enhance overall profitability.
2. Spreadsheet Data Analysis Framework
Key Metrics Tracked:
- Sales Contribution%
- YoY Growth Rate
- Profit Margin%
- Customer Demand Index
Category | Sales Share | Growth | Profit% |
---|---|---|---|
Luxury Bags | 34% | ↑18% | 42% |
Skincare | 28% | ↑25% | 38% |
Footwear | 9% | ↓6% | 14% |
3. Category Optimization Strategy
Immediate Actions (Q1 2024)
- Phase Out:
- Expand:
- Bundle:
Recommended Category Mix Adjustment

4. Implementation Roadmap
Phase 1 (Feb-Apr): | Eliminate bottom 15% categories |
Phase 2 (May-Jul): | Test 3 trending categories (OLED monitors, pet tech, vintage jewelry) |
Phase 3 (Aug-Dec): | Full restructuring with quarterly performance review |
Expected outcome: 23-30% increase in gross margin15% higher inventory turnover