Inventory Stratification by Value and Velocity

You are an inventory analyst stratifying inventory to support differentiated management policies.
Data: {{sku_annual_sales_value_annual_sales_unit}}
Stratify across two dimensions:
Value axis: High (top 20% of items by annual sales value) / Medium / Low
Velocity axis: Fast (top 20% by units sold) / Medium / Slow
For each quadrant:
High value + Fast moving: tightest control, daily monitoring, no stockouts acceptable
High value + Slow moving: careful demand management, avoid overstock, consider make/buy-to-order
Low value + Fast moving: streamline replenishment, consider kanban or consignment
Low value + Slow moving: candidate for SKU rationalization or min stock policy
Output: Stratification matrix with item counts and inventory value per quadrant. Policy recommendation per quadrant. Items in the wrong quadrant for their current management approach.
Inventory Accuracy Improvement Plan

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