Platform: Enolytics DTC

Summary:

What it is: Inventory Period (Days) shows how long products have been tracked in your inventory system, grouped into standard intervals from 30 to 366 days. Each product gets assigned to the highest period threshold it meets, creating consistent buckets for comparing inventory performance across products with different tracking histories.

How to use it:
• Compare sales velocity between newer products (30-60 days) and established inventory (180+ days) to identify which items need more time to gain traction versus those that might be slow movers
• Analyze inventory turnover rates by filtering to specific period buckets, helping you make better purchasing and production decisions based on how products perform over time

Tip: Products with longer tracking periods give you more reliable sales rate data, so focus your trend analysis on items in the 120+ day buckets for more confident forecasting.

Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below — it opens a quick chat so you can let us know.

Quick Stats:

The length of the inventory tracking window in days, bucketed into standard intervals (30, 60, 90, 120, 150, 180, 210, 240, 270, 300, 330, or 366 days). Products are assigned to the highest period threshold they meet based on how long they have been actively tracked. This standardized period enables consistent calculation of sales rates and inventory metrics across products with different tracking histories.

Inventory General

Type: int

Format: #,##0