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Inventory shrinkage: meaning, formula and how to reduce it

By mise · Updated September 29, 2026

Quick answer: inventory shrinkage is the difference between the stock you should have on record and what you physically count. Shrinkage % = (recorded inventory − counted inventory) ÷ recorded inventory × 100 (retailers often divide by sales). Causes: theft, unrecorded waste, receiving and counting errors. Around 1.5–2% of sales is typical in retail.

Shrinkage is the part of your stock that disappears without an explanation. Measuring it per product turns "we lose stuff" into a short list.

The formula

Shrinkage % = (recorded − counted) ÷ recorded × 100
Example: records say 48 bottles of a vodka (last count 30 + received 36 − sold 18). You count 44. Shrinkage = 4 bottles, 8.3% of recorded stock for that line.

Main causes

CauseSignFix
TheftHigh-value, small items; losses on certain shiftsLocked storage, weekly cycle counts, shift reports
Unrecorded wastePerishablesWaste log
Receiving errorsGaps right after deliveriesCheck against invoice, count cases
Over-pouring / portioningBar and kitchen usage above salesJiggers, scales, recipe cards
Counting errorsSwings up and downSame units, scanning instead of typing

Finding it

Compare expected and counted stock per product, sorted by dollar value. Cycle count the top items weekly. In mise, closing a count shows exactly this: expected vs counted, per product, in units and dollars.

Count your stock by scanning barcodes

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Keep reading Bar inventory: how to count liquor, beer and wine Convenience store inventory: how to count and control it Actual vs theoretical food cost: how to find the gap All guides

Frequently asked questions

What is inventory shrinkage?

Stock that is on record but not on the shelf: lost to theft, waste, damage or errors.

How do you calculate shrinkage?

(Recorded inventory − counted inventory) ÷ recorded inventory × 100, or divided by sales for a retail shrink rate.

What is a normal shrinkage rate?

Around 1.5–2% of sales in retail. In bars, liquor variance above 3–5% per product deserves a look.