Out-of-stocks (OOS) are a problem that every brand navigates at one point or another. Just ask Chobani or Oatly. In 2011, Chobani made headlines for OOS which Melissa Stagnaro, a Chobani spokeswoman, attributed to increasing demand due to their sponsorship of the U.S. Olympic team. In the early 2020s, oat milk producers, including Oatly, faced real shortages as consumer demand outpaced supply. Right now, it's eggs! According to a Numerator survey, 55% of shoppers reported seeing out-of-stocks at their local grocery stores when shopping for eggs.
OOS impact everyone involved and can negatively impact an emerging brand.
A Harvard Business School and Emory University study analyzed how consumers react to stockouts using data from 71,000 shoppers across 29 countries. When faced with an out-of-stock product, shoppers do one of five things:
Most stockouts are preventable. The Harvard Business Review study found that:
You can’t fix what you can’t measure. Here are a few ways brands attempt to track OOS:
The real problem isn’t just knowing when an item is out—it’s fixing it in real time. That requires systems that align inventory, sales, and shelf visibility data across platforms.
Computer vision (CV) tools like Trax and Repsly give brands “eyes in the store,” helping detect when shelves are empty. But visibility alone isn’t enough—you also need a way to act on that data.
That’s where Pantry AI comes in. Unlike rigid, single-solution systems, Pantry retailer data sources automate order replenishment and prevent stockouts before they happen. Whether you’re in grocery, beauty, or consumer electronics, Pantry is an distributorsand brands capture every possible sale.
Stockouts aren’t going away, but the right tech stack makes them predictable, measurable, and fixable. If your business is still relying on manual audits and guesswork, it’s time to rethink how you track and prevent OOS.