Glossary

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Glossary / Evaluation and implementation guide

Inventory Aging

Inventory aging looks at how long units have been held, grouped into age buckets such as 0-30, 31-90, or over 180 days.

What counts as too old depends entirely on your business context: fresh food ages in days, fashion in seasons, industrial parts in years.

Aging shows the distribution of stock by age, which is a different question from turnover, a single ratio about how fast stock moves overall.

A practical example

Example: a fashion seller reviews its aging report before a season change and finds 18 percent of units older than 120 days, concentrated in last season's prints, and plans a clearance path for those specific batches.

What to evaluate before investing

  • Can age buckets be customized to match your product categories instead of fixed defaults?
  • Does aging calculate from a defensible date, such as receipt into the warehouse, with lot or batch tracking where relevant?
  • Can the report trigger actions, like marking aged batches for markdown or exclusion from reorder suggestions?

Limitations and tradeoffs

Aging reports depend on accurate receipt dates and batch data; poor inbound tracking makes the age distribution unreliable.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.