Learn SKU classification using Python Pandas with real retail data! This tutorial teaches XYZ classification (demand variability) and ABC analysis (revenue value) to optimize inventory management for stock-keeping units (SKUs).
You’ll Master:
✅ Data Prep: Clean retail data & calculate key metrics (CV, revenue)
✅ XYZ Method: Classify SKUs by demand stability
✅ ABC Analysis: Prioritize high-revenue items
✅ Python Workflow: Pandas functions for automated classification
✅ Actionable Outputs: Identify "AX" items (High-Value + Stable Demand)
Tools Used:
🐍 Python · 🐼 Pandas · 📊 Matplotlib (Visualization)
Dataset: UK Online Retail Data
Perfect For:
Supply chain analysts, inventory managers, retail data scientists, and ops professionals! Subscribe for Python supply chain tutorials!
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