What Does “Out of Stock” Really Mean?
Imagine this: a shopper walks into a store looking for your product. They check the usual aisle—and it’s empty. No product, no sale, no brand loyalty.
That’s Out of Stock (OOS)—and while it may seem like a small gap on a shelf, it creates a massive gap in revenue and customer trust.
At Infilect, we’re solving this challenge at scale. Our platform, InfiViz, uses AI-driven image recognition to detect Out of Stock issues with precision—across thousands of stores and SKUs.
Here’s how it works:
- Every store is mapped with a complete SKU list—what should be on the shelf
- In-store images are captured and processed through InfiViz
- The system compares what’s expected with what’s actually on the shelf
- Any missing SKUs are flagged instantly, with exact details on product, brand, and shelf location
Learn more about how AI transforms retail execution
Looking Back to Move Forward: Historical OOS
It’s one thing to know what’s missing today. But what if you could look back over time to understand patterns? To identify which products consistently go missing, in which stores, and when?
That’s what Historical Out of Stock helps you do.
With InfiViz, each shelf is digitally tracked by bay, row, and product sequence—so you can compare images month over month, and see what’s changing, and more importantly, what isn’t.
Even if a product is missing but the price tag remains, InfiViz can detect that signal and trace it back to the intended SKU. It’s smart shelf memory, built for real-world retail.
Explore visual shelf analytics to see how this works in practice
Why It Matters: The Cost of Not Knowing
Most brands operate in the dark when it comes to stockouts. They rely on field teams or manual reporting, which miss the nuances.
Without Historical OOS insights, you’re likely:
- Missing out on revenue due to unnoticed stockouts
- Struggling to measure performance over time or across stores
- Making replenishment decisions based on assumptions, not data
- Lacking accountability from teams on the ground
- Operating without a feedback loop from store to strategy
See how leading brands are solving this in our case studies
What You Can Do With Historical OOS Data
With a clear view of past shelf conditions, you gain control over future outcomes.
InfiViz helps you:
- Restock faster and smarter, especially for fast-moving SKUs
- Spot high-risk products that frequently go out of stock
- Improve store-level ROI by increasing on-shelf availability
- Strengthen relationships with retailers using shared, reliable data
- Make decisions with confidence—grounded in real trends, not guesswork
Learn more about InfiViz
