Shopify has the raw inventory data, but it is spread across separate reports that never come together in one view. This guide covers what a working inventory dashboard actually shows, exactly what Shopify gives you natively, and the three practical ways to get a live picture of your stock.
Here is the daily reality for most Shopify store owners: stock counts live in the Inventory section, sales velocity lives in Analytics, inventory value lives in a month-end report, and the question that actually matters, which products are about to run out, lives nowhere. You find out about stockouts from customers.
An inventory dashboard fixes that by putting the operational numbers in one live view. The key word is operational. A dashboard is not a pile of reports. It is the answer to four questions, visible in ten seconds: what is about to run out, what needs ordering now, what is wasting money, and what is actually making money.
These are the numbers that change decisions. For each one, we note whether Shopify provides it natively or not.
Which products run out in the next 7, 14, or 30 days based on current sales velocity. The single most actionable number in inventory.
Units on hand divided by daily sales velocity. Tells you how long each product lasts at the current pace.
Products that have crossed their reorder point and need a purchase order placed now to avoid a stockout.
Cash tied up in products with no sales in 60+ days. Most stores are shocked by this number the first time they see it.
Total cost value of current stock. Shopify provides this in month-end snapshots, not as a live operational view.
Percentage of received inventory sold in a period. Shows which products move and which sit.
Revenue minus COGS at the product level. Your best seller by volume is not always your best seller by profit.
Raw stock counts per size and colour. Shopify covers this well in the Inventory section.
To be fair to Shopify, the native reporting has improved. Inside Analytics you will find these inventory reports:
The limitation is structural: each of these is a separate report you open, read, and close. Nothing combines them, nothing watches them for you, and nothing connects a number to an action. The month-end snapshot will not tell you that your best seller runs out next Tuesday. For a deeper look at the native tracking features, see our Shopify inventory tracking guide.
Shopify Analytics has the raw ingredients spread across separate reports. You can check month-end value, sales velocity, and stock levels in different screens. What you cannot do is see them in one place, and nothing alerts you. You have to remember to check, run the math, and catch problems yourself.
Export inventory and sales CSVs from Shopify, build formulas for days of stock and reorder points, and refresh the data weekly. It works until the manual export-refresh cycle breaks down, usually within a few months. The data is always stale by the time you look at it.
An app syncs your Shopify data continuously and computes the operational metrics automatically: stockout predictions, days of stock, reorder alerts, dead stock, margins. The dashboard is live, and the important problems surface on their own instead of waiting to be found.
Most stores follow the same path: native reports, then a spreadsheet, then an app once the spreadsheet stops being refreshed. The switch usually happens after a painful stockout or after dead stock quietly eats a season of profit. If you want the underlying decision framework, our complete Shopify inventory management guide covers it end to end.
Debnix was built around exactly the operational view described above, for Shopify stores in the 50 to 500 SKU range. Connect your store and the dashboard populates from your live Shopify data:
AI risk levels per product with run-out timelines, so the next stockout shows up on the dashboard weeks before it shows up in customer emails.
Auto-calculated reorder points from sales velocity and supplier lead time. Products past their point surface at the top, ready to turn into a purchase order.
Products with 60+ days of no sales, with the cash value tied up in them. The number most owners have never seen for their own store.
Every product ranked by revenue contribution so attention and safety stock go where the money is. See our ABC analysis guide for the method.
Revenue vs COGS per product with charts and CSV export, so volume bestsellers and profit bestsellers stop being confused for each other.
Per-SKU predictions from your sales history, including a Surge Mode to simulate demand spikes before a promotion or season. More in our forecasting guide.
Shopify has inventory data spread across several areas: the Inventory section shows stock counts per variant, and Shopify Analytics includes reports like month-end inventory snapshots, average inventory sold per day, and percent of inventory sold. There is no single operational dashboard that combines stock levels, run-out predictions, reorder alerts, and dead stock in one live view. For that, stores use a third-party inventory dashboard app.
Go to Analytics, then Reports, and filter the category to Inventory. The most useful native reports are month-end inventory value, average inventory sold per day, and percent of inventory sold. Each lives in its own report, so building a complete picture means switching between several screens and exporting to a spreadsheet for any calculated metrics like days of stock remaining.
A working inventory dashboard answers four questions at a glance: what is about to run out (stockout risk with timelines), what needs ordering now (reorder alerts), what is wasting money (dead stock value), and what is actually profitable (margin per product). Supporting metrics include days of stock remaining, sell-through rate, and total inventory value on hand.
It depends on store size. Enterprise tools like Inventory Planner or Cin7 offer deep analytics from $100 to $300+ per month. For stores in the 50 to 500 SKU range, Debnix provides a live dashboard with AI stockout predictions, auto reorder points, dead stock detection, ABC analysis, and profit margins at a flat $21.99/month with a 30-day free trial.
The formula is units on hand divided by average daily units sold. Shopify has a basic days-of-inventory estimate in some reports, but it uses a simple historical average. For practical use you want the calculation per variant, updated continuously, and weighted toward recent sales so trends and seasonality are reflected. That typically requires either a maintained spreadsheet or an inventory app.
Yes. Export your products with inventory quantities and a sales-by-product report, then build columns for daily velocity, days of stock, and reorder points. The limitation is freshness: the dashboard is only as current as your last export, and most owners stop refreshing it within a couple of months. It is a good way to learn your numbers and a poor way to run daily operations long term.
Debnix gives your Shopify store a live inventory dashboard with AI stockout predictions, reorder alerts, dead stock detection, ABC analysis, and real margins. Built for 50-500 SKU stores. $21.99/mo, 30-day free trial.
Built solo.