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Glossary · Stocktaking

What is a stock discrepancy?

The system says 24 units, the shelf holds 22. The gap between them is the stock discrepancy. Here you will learn how to calculate it, what level of deviation is still normal – and how to find out where the two units went.

  • 5 min read
  • Updated November 2026
  • With free calculator
Book stock 24, physical stock 22: stock discrepancy of minus 2 units BOOK STOCK IN SYSTEM PHYSICAL ON SHELF 24 22 · discrepancy −2
The discrepancy is quick to calculate. The real work is the question of why.

In brief

A stock discrepancy (also inventory variance) is the difference between the physical stock counted during the stocktake and the book stock according to accounting or the inventory system. If there is less than expected, it is a shortage; if there is more, a surplus. Common causes are unrecorded withdrawals, mix-ups, counting errors and shrinkage.

FormulaPhysical − book
NegativeShortage
PositiveSurplus
ValuationUnits × unit cost

Stock discrepancy: definition

Every inventory system keeps a book stock: receipts are added, withdrawals subtracted. During the stocktake, this book stock is compared with reality. If the two do not match, there is a stock discrepancy – for each individual item and in total for the whole warehouse.

A discrepancy is not automatically a loss. A surplus is also an error: somewhere something was recorded that did not happen that way – or a goods receipt was forgotten.

Calculating the stock discrepancy

Quantity and value

Discrepancy = physical stock − book stock

Value
Discrepancy in units × unit cost
Deviation in %
Discrepancy ÷ book stock × 100

For the whole warehouse, it is also worth looking at the sum of discrepancies relative to inventory value. Watch the absolute amounts: shortages and surpluses can cancel each other out on paper, even though both point to errors.

Stock discrepancy calculator

Enter book stock, physical stock, price and your tolerance. The calculator shows the discrepancy in units, euros and percent and tells you whether you should recount. The example below is pre-filled.

The calculator needs JavaScript. Please enable JavaScript in your browser.

Example: brake discs at a car repair shop

Car repair shop, 9 employeesParts store with wear parts for the most common models

At the annual stocktake, the system shows 24 units of a common brake disc, but 22 are counted. Unit cost: €38.

  1. Discrepancy: 22 − 24−2 units
  2. Value: −2 × €38−€76
  3. Deviation: −2 ÷ 24−8.3%
  4. 2% tolerance exceededrecount

The recount confirms 22 units. A look at the workshop orders shows the cause: a set of brake discs was fitted and invoiced to the customer, but never booked out of stock. The discrepancy is not a loss – it is a missing entry.

Cause foundunrecorded withdrawal

The most common causes

CauseTypical patternRemedy
Unrecorded withdrawalShortage of material that is needed quicklyRecord withdrawals right at the shelf by scan
Mix-upShortage of item A, surplus of similar item BUnique labels with codes, clear storage locations
Forgotten goods receiptSurplus shortly after a deliveryRecord goods receipts immediately, not in batches
Counting or typing errorTransposed digits, deviation by a factor of 10Capture directly instead of typing up paper lists, recount
Wrong unitPack instead of piece, meters instead of rollDefine one stock unit per item
Material off-siteShortage that is actually in a van or on a siteInclude assignments in the count
ShrinkageRecurring shortages with no patternControl access, compare causes across several counts

How to deal with discrepancies

  1. RecountIdeally by a second person, before anything is corrected.
  2. Find the causeCheck recent movements, orders and similar items.
  3. CorrectSet stock in the system to the confirmed physical value.
  4. DocumentRecord the discrepancy, cause and approval.
  5. PreventChange the process that caused the error.

What level of deviation is still normal?

Hardly any warehouse is completely free of discrepancies. A sensible approach is a tolerance above which you recount – in two dimensions:

  • Percent: a deviation of 2 units is not critical with 300 disposable gloves, but with 10 cordless drills it is 20%.
  • Units or value: 1% of 5,000 screws is 50 units – little in percentage terms, but perhaps too much in absolute terms.

For expensive A items set a tighter tolerance, for cheap small material a more generous one. That way recounting focuses on the positions where it really matters.

4 typical mistakes in dealing with discrepancies

  • Writing off immediately. Without a recount, you may be correcting a counting error into your stock.
  • Only looking at the total. Shortages and surpluses cancel each other out on paper. Look at the amounts per item.
  • Ignoring surpluses. They also point to a process error – often a mix-up with another item.
  • Not recording causes. Patterns only become visible across several stocktakes.

Discrepancies under control with Scanwiz

In a stocktake in Scanwiz, every counted quantity is compared with the book stock immediately. You set a tolerance in percent and in units for each stocktake: positions within both limits go through, anything above goes to approval. In blind count mode, the expected quantity is hidden while counting – so people count instead of just confirming.

Spot check in Scanwiz on desktop and smartphone: counted positions with expected quantity and a flagged deviation per item
Deviation right at the position – in units and percent.
  • Tolerance in percent and units per stocktake
  • Approval only for deviations above the tolerance
  • Discrepancy list with number, period and participants

Frequently asked questions about stock discrepancies

What is a stock discrepancy?

The difference between the counted physical stock and the book stock in the system. Less than expected is a shortage, more than expected a surplus.

How do you calculate a stock discrepancy?

Physical stock minus book stock. You get the value by multiplying the discrepancy in units by the unit cost, and the percentage deviation by dividing it by the book stock.

What are the most common causes?

Unrecorded withdrawals, mix-ups of similar items, forgotten goods receipts, counting and typing errors, wrong units, material off-site and shrinkage.

What stock discrepancy is normal?

There is no fixed limit. A sensible approach is a tolerance in percent and in units above which you recount – tighter for expensive items, more generous for cheap small material.

Sources & methodology

  1. Wikipedia: Inventory control – stock discrepancies and their causes. en.wikipedia.org, accessed 10 November 2026.
  2. Worked example: Scanwiz’s own calculation with realistic figures from a car repair shop.

Updated November 2026 · Scanwiz editorial team

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