Unmasking Hidden Inventory Adjustments: How to Fix Shopify Report Discrepancies

Hey everyone,

Let's talk about something that can be incredibly frustrating for any store owner: inventory discrepancies. You know you've made adjustments, maybe a bulk upload or a sync from your inventory management system, but when you pull up your Shopify reports, something just doesn't add up. It's like some of your adjustments have vanished into thin air!

This exact scenario recently popped up in the Shopify Community forums, and it's a fantastic example of how a small misunderstanding of custom report queries can lead to big headaches. Our friend gagarwal shared their struggle:

"I am facing this issue where for a particular product I see two entries in inventory adjustment - One during bulk upload and one syncing from my inventory mgmt system but in the inventory adjustment report, I see only one entry."

gagarwal was using a query like this:

FROM inventory_adjustment_history
SHOW inventory_app_name, inventory_adjustment_change
WHERE product_variant_sku = ‘11359’
GROUP BY inventory_app_name

And they asked, "Any idea on how can I fix this?"

The 'GROUP BY' Gotcha: Why Your Adjustments Might Be Hiding

This is where the collective wisdom of the community really shines. My good friend Anthony_David_1, a sharp contributor in the forums, immediately pinpointed the culprit: the GROUP BY clause.

Here's a snippet from Anthony's insightful reply, complete with his avatar:

Anthony_David_1:

"the GROUP BY is collapsing your rows.

You have two adjustment records, but since you’re grouping only by inventory_app_name, the report is aggregating them into one row per app."

Think of GROUP BY in your custom Shopify reports like telling a librarian to combine all books by the same author into a single entry. If you have three books by 'Author A' and two by 'Author B', and you group by 'Author', you'll only see two entries: one for 'Author A' and one for 'Author B'. All the individual book details for each author get collapsed or hidden unless you specifically ask for an aggregate (like counting how many books each author has).

gagarwal's initial query was trying to SHOW inventory_app_name, inventory_adjustment_change while only grouping by inventory_app_name. The problem is, if there are multiple inventory_adjustment_change values for a single inventory_app_name, the report doesn't know which inventory_adjustment_change to display. This is why you often get an error saying inventory_adjustment_change is an "invalid column" when used this way without an aggregate function.

Seeing Every Detail: The Simple Fix to Uncover All Adjustments

The quickest and most straightforward way to see every single inventory adjustment for a product variant is to simply remove the GROUP BY clause. This tells the report, "Hey, just show me every single record that matches my criteria, don't combine anything!"

Anthony's suggested fix was spot on:

FROM inventory_adjustment_history
SHOW inventory_app_name, inventory_adjustment_change, created_at
WHERE product_variant_sku = '11359'

How to Implement This Fix in Your Shopify Custom Report:

1. Navigate to Analytics > Custom reports: In your Shopify admin, head over to the Analytics section, then click on "Custom reports."
2. Edit your existing report or create a new one: Find the report you're having trouble with, or click "Create custom report" if you're starting fresh.
3. Modify the query: In the query editor, locate the GROUP BY line and simply delete it.
4. Add created_at for clarity: It's always a good idea to include the created_at field in your SHOW statement when debugging. This timestamp helps you differentiate between multiple adjustments, even if they come from the same app or have similar change values.
5. Replace the SKU: Make sure to update '11359' with the actual SKU of the product variant you're investigating.
6. Run the report: Click "Run report" to see all individual inventory adjustments for that SKU.

By doing this, you'll get a granular view, showing each adjustment as its own row. If you had two adjustments (one from a bulk upload app, one from your inventory management system), you'd now see both distinct entries.

When You Do Need to Group (The Right Way)

Sometimes, you actually do want to group your data. Maybe you want to see the total inventory change per app, or per day. In such cases, you need to use an aggregate function for any non-grouped fields.

gagarwal actually tried this in their follow-up, which shows great initiative:

FROM inventory_adjustment_history
SHOW inventory_app_name, SUM(inventory_adjustment_change)
WHERE product_variant_sku = ‘11359’
GROUP BY inventory_app_name

This query is perfectly valid if your goal is to see the sum total of all inventory changes attributed to each specific inventory_app_name for that SKU. It correctly uses SUM() as an aggregate function for inventory_adjustment_change when grouping by inventory_app_name.

How to Use Aggregation for Summarized Views:

1. Decide on your grouping criteria: Do you want to group by app name, by day, or by both?
2. Choose your aggregate function: For inventory changes, SUM() is usually what you want. You could also use COUNT() to see how many adjustments occurred.
3. Construct your query:
• To see total change per app:

FROM inventory_adjustment_history
SHOW inventory_app_name, SUM(inventory_adjustment_change)
WHERE product_variant_sku = 'YOUR_SKU'
GROUP BY inventory_app_name

• To see total change per app per day (as gagarwal also attempted):

FROM inventory_adjustment_history
SHOW inventory_app_name, day, SUM(inventory_adjustment_change)
WHERE product_variant_sku = 'YOUR_SKU'
GROUP BY inventory_app_name, day

4. Run the report: This will give you a summarized view, which can be great for high-level analysis, but remember it won't show individual transactions.

The Importance of 'inventory_app_name' (and Why it Matters)

One crucial detail gagarwal mentioned was that "the inventory_app_name is different for both entries." This is super important! It means that your bulk upload likely registers under one app name (e.g., "Bulk Editor" or your custom app's name), and your inventory management system sync registers under another. This is actually a good thing, as it helps you trace the source of each adjustment.

When debugging discrepancies, always pay attention to the inventory_app_name field. It's your breadcrumb trail to understanding which tool or process initiated an inventory change.

So, if you're ever scratching your head over missing inventory adjustments in your Shopify reports, remember the power of understanding GROUP BY. Start by pulling all individual records without grouping, then layer in aggregation if you need a summary. It's all about asking the report the right questions to get the full picture of your stock movements. Happy reporting!