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How to Reduce Inventory Shrinkage: Strategies That Actually Work

"Shrinkage" gets blamed on theft more than it deserves. In most small-to-midsize operations, the biggest sources are boring, fixable process gaps — not someone stealing off the shelf.

What shrinkage actually is

Shrinkage is the gap between what your records say you should have and what's actually there when you count it. It's usually expressed as a percentage of inventory value or sales. The number matters less than understanding where it's coming from — a single shrinkage percentage tells you almost nothing about what to fix.

Where it usually actually comes from

Roughly in order of how often they turn out to be the real cause once someone actually investigates:

The practical implication: before investing heavily in theft-prevention measures, it's worth ruling out the more boring causes first, since they're often both bigger and cheaper to fix.

Controls that address the actual biggest sources

For counting and data-entry errors: barcode or scanner-based receiving and picking instead of manual quantity entry removes the most common source of simple typos. Where scanning isn't practical, a second-person verification on large or high-value receipts catches errors before they get baked into the system.

For unrecorded damage/spoilage: make write-offs at least as easy as throwing something away — a quick scan-and-log step at the point damage is discovered, not a form that has to be filled out later (which mostly means never). If logging a write-off is more friction than just tossing the item, people will just toss the item.

For receiving-to-putaway gaps: don't mark stock as "received" until it's actually confirmed in its storage location, not just off the truck. A gap between "the system says it arrived" and "it's actually put away and findable" is exactly where stock quietly goes missing without any theft involved at all.

For theft specifically: cycle counting (covered in more depth in our cycle counting article) catches discrepancies far faster than an annual count, which matters because a problem caught within days is much easier to trace to a cause than one discovered eleven months later.

You can't fix what you can't see happening

Almost everything above depends on being able to look at inventory data broken down by location, category, or time period — not just one aggregate "total shrinkage" number for the whole warehouse. If shrinkage is concentrated in one storage area, one product category, or one shift, that pattern is the actual diagnostic information; a single overall percentage hides it completely.

Bin & Box gives you that breakdown automatically — shrinkage and adjustment history by location and category, not just one number for the whole operation, so a real pattern doesn't hide inside an average.

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