Premium Apparel
Challenge
E-commerce apparel brand facing margin pressure from inventory markdowns and demand volatility. Needed to optimize SKU mix and reduce waste.
Solution
Diagnostic revealed slow-moving SKU concentration and seasonal forecasting gaps. Built demand model and markdown optimization framework.
Outcomes
Before / After
12-month lookback, weekly aggregation, 95% confidence. Values illustrative.
Timeline
Data Intake
0–2Sales by SKU/channel, inventory, markdowns, returns
Models & Scenarios
3–7Demand forecasting model, SKU performance analysis, markdown optimization
Board Plan
8–10SKU rationalization roadmap, markdown policy, forecasting process
Data Used
- • Sales by SKU
- • Inventory levels
- • Markdown history
- • Return rates
- • Seasonality data
- • Channel performance
Limitations
Analysis based on 12-month historical data. Future results may vary based on market conditions, operational changes, and external factors.
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