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Inventory Aging Analysis

Identify risks, optimize stock, and maximize recovery

Free Tool
Analytics Tool

Inventory Aging Analysis

Monitor inventory age distribution, identify slow-moving items, and optimize stock management with actionable insights.

50 Items Tracked
Real-time Analysis
Risk Assessment

Total Inventory Value

$3,405,998.00

Avg Age

74d

At Risk

$2,081,997.00

Healthy Stock

$557,428.00

0-30 days

Moderate Aging

$766,573.00

31-60 days

Value at Risk

$2,081,997.00

60+ days

Write-off Risk

$1,597,477.00

90+ days

Value by Aging Bucket
Inventory value distribution across aging periods
Quantity by Age
Units in each aging bucket
Category Breakdown
Inventory analysis by product category
Aging Summary
Detailed breakdown by aging period
0-30 Days11 items

Quantity

2,194

Value

$557,428.00

% of Total

16.4%

31-60 Days9 items

Quantity

2,427

Value

$766,573.00

% of Total

22.5%

61-90 Days9 items

Quantity

2,047

Value

$484,520.00

% of Total

14.2%

90+ Days21 items

Quantity

4,975

Value

$1,597,477.00

% of Total

46.9%

Frequently Asked Questions

Everything you need to know about inventory aging analysis

What is Inventory Aging?

Inventory aging analysis is a method of categorizing inventory based on how long items have been in stock. It helps businesses identify slow-moving or obsolete inventory, assess risk exposure, and make informed decisions about markdowns, promotions, or write-offs.

Typical aging buckets include 0-30 days (fresh), 31-60 days (moderate), 61-90 days (concern), and 90+ days (critical). Each bucket represents increasing risk and potential value loss.

ABC Classification
Class AHigh value (typically 80% of value, 20% of items)
Class BModerate value (typically 15% of value, 30% of items)
Class CLower value (typically 5% of value, 50% of items)

ABC analysis applies the Pareto principle to inventory management, enabling differentiated control strategies based on value contribution.

Key Metrics
  • Days in Inventory: Time since receipt
  • Value at Risk: Inventory value in older buckets
  • Write-off Risk: Potential loss from obsolete stock
  • Slow-Moving Rate: Items with no recent sales
Understanding Aging Buckets
Risk levels and recommended actions by aging period

0-30 Days

Low Risk

Fresh inventory with normal turnover

Continue regular operations

31-60 Days

Moderate Risk

Monitor closely for sales velocity

Consider promotional pricing

61-90 Days

High Risk

Requires immediate attention

Implement markdown or bundle strategy

90+ Days

Critical Risk

High write-off risk

Liquidate or write off immediately

Best Practices
  • Run aging analysis weekly to catch issues early
  • Differentiate strategies by ABC classification
  • Set automatic alerts when items enter 60+ day buckets
  • Document reasons for slow movement to inform buying
  • Consider seasonal patterns before marking for liquidation
Common Pitfalls
  • Ignoring aging until it becomes a crisis
  • Applying one-size-fits-all markdowns regardless of ABC class
  • Not considering seasonal demand patterns
  • Delaying write-offs to avoid hitting financial targets
  • Failing to root cause slow movement issues
Frequently Asked Questions