Inventory Insights 

1. Begin on the Inventory section of the dashboard 
2. Select Inventory Insights
   
   
3.  Click the settings wheel on the top left to open Configure Columns
   
4. To add product groups to your filter, click on Configure Quick Filters
   
5. Drag and drop the columns to rearrange their order 
   
6. Click the "X" next to any column to remove it, or drag it back under Column Order to reactivate it
   
7. From here, you can utilize the filters or the advanced filters on the left to view and sort: 
   
   On Hand — current physical inventory count
   
   Days Supply — how many days current stock will last based on real sales velocity, accounting for day-of-week patterns
   
   Sold (30d) — units sold in the last 30 days
   
   Trend — a 30-day trend line showing sales movement over time
   
   Movement Tags — automatic status labels: Breakout, Rising, Stable, Declining, Dead
   
   Cost — what the merchant paid for the item
   
   Retail — current selling price
   
   Market — how the merchant's price compares to nearby stores (see Understanding vs Market below)
   
   Margin % — calculated margin
   
   Inventory Value — total dollar value of current stock
   
   Revenue (30d) — revenue from this item in the last 30 days
   
   Profit (30d) — profit from this item in the last 30 days
   
   Status — overall stock status: In Stock, Low Stock, or Out of Stock

For a breakdown on how to utilize the parameters when using the Advanced Filter, view our article here.

How Inventory Insights Works

Product Import
When importing a new product, key fields are automatically filled in. Common product size is pulled from industry data, including vintage when applicable. Cost and price are pre-filled using the median price from stores in the same city, or state-level data if fewer than 5 city stores carry the item. If the item already exists in your inventory, cost and price pull from the existing record — market data is still shown for reference. Sale price can be set at the time of import, and size entry is structured to keep data consistent across your catalog.

Troubleshooting Data Issues
Insights are generated from price, quantity, and cost data. Occasional mismatches can occur — for example, a cost value recorded for a case being compared to the price of a single unit. If data looks incorrect, submit an integration ticket to resolve it. If no Market value appears for an item, there may not be enough nearby store data to generate a comparison — this is expected for very unique or specialty items.