The cost of invisible stock in the AI era
How AI shopping turns temporary stockouts into permanent lost visibility, and what it costs as you grow. With original data from 375 product brands:
- ~$21,000 — what the typical brand loses a year to stockouts on its best sellers
- 59% — of stockouts hit a product that had already run out earlier that year
- 393% — year-over-year growth in AI shopping traffic to US retailers (Adobe, 2026)
Get the report
What’s inside
In this playbook you’ll find:
- What stockouts cost product brands, measured across a year of data from 375 real businesses
- Why the same best sellers keep running out, and the pattern most brands never spot in their own numbers
- How the cost changes once buyers shop through AI, and why it gets harder to recover from
- What the least-exposed brands do to stay in stock and stay visible
About the report
The real cost of stockouts and what changes with AI shopping
A data-backed look at what stockouts cost product brands today, drawn from a year of real data across 375 businesses. Learn how much stockouts cost SMBs, why most brands fail to spot the loss, how that cost changes with AI shopping and what you can do to manage it.
What stockouts cost today
Stockout costs show up in small amounts over the year instead of as one big number, which makes them easy to overlook.
We’ve added it up: the typical brand loses around $21,000 a year on its best sellers. The cost sits mostly with higher-volume brands where more revenue runs through each product. And the same best sellers tend to run out more than once, a pattern most brands don’t catch in their own numbers.
How AI shopping changes the cost
AI shopping tools show buyers the products that match their request and are available to buy at that moment. A product listed as out of stock is left out, and the buyer sees a competitor instead.
That turns availability into a discovery factor. And this is happening quickly: AI shopping traffic to US retailers grew 393% year over year in early 2026, and those buyers convert better than traditional search.
How the least-exposed brands stay visible
Some brands lose far less to stockouts than others, no matter their size. The difference comes down to how accurately their systems track what’s available and where.
AI shopping makes that accuracy even more important. It decides whether a brand shows up when a buyer asks, or gets passed over for a competitor. Getting it right is becoming the foundation of staying visible as AI shopping grows.
Katana Cloud Inventory
One inventory record across every channel you sell on
Keep the right products in stock, every time. Katana forecasts demand and keeps one live inventory record across Shopify, Amazon, wholesale and more.
