Inventory Aging Analysis
inventory
stock
aging
Industry
Retail
For Whom
Inventory Managers, Supply Chain Managers, Retail Store Managers
Why You Need This
Identify slow-moving or obsolete inventory to reduce holding costs, prevent write-offs, and optimize stock levels for better cash flow.
How It Works
Categorize inventory based on how long it has been in stock (e.g., 0-30 days, 31-60 days, 60+ days) and analyze quantities, value, and sales velocity for each aging bucket.
Data Type
Tabular
What You Need
Inventory data including stock levels, purchase dates, and sales dates for each SKU.
What You Get
- Detailed reports on inventory by age category
- Identification of stagnant or slow-moving SKUs
- Insights into potential write-off risks and storage cost drivers
How To Use It
Implement strategies to clear aged inventory (e.g., promotions, bundles), optimize future purchasing to avoid overstocking, and improve inventory turnover rates.
Technique
Statistical Analysis
Business Impact
How We Deliver This
Can Be Extended To