SATUS SmartCount™ | Completed example

See how a 20-product count becomes a useful stock-and-cash signal.

This worked example uses simple grocery items to show what the free sample calculates and how to interpret a difference.

Example count

Count first. Compare second. Investigate every difference before adjusting the record.

ItemUnitActual countExpected Quantity On HandDifference
White ricebags1820-2
Flourbags12120
Granulated sugarbags910-1
Cooking oilbottles24240
Table saltpacks15150
Cornmealbags78-1
Dried peas / beansbags10100
Margarineunits13130
Canned tunaunits30282
Powdered milkpacks11110
Parboiled ricebags16160
Pasta / macaronipacks22220
Canned peas / beanscans14140
Corned beefcans871
Evaporated milkcans18180
Breakfast cerealboxes10100
Oatspacks990
Breadloaves68-2
Eggstrays/dozens12120
Cooking saucebottles15150
20

Products compared

All 20 items had both an actual and expected quantity.

14

Exact matches

Fourteen items matched the record exactly.

6

Differences

Six items need recounting and investigation.

AMBER — DEVELOPING70%

Count match

This is an amber directional signal for the sample—not a final diagnosis.

What should happen next?

Recount the six different items. Check receiving, sales or usage, returns, damage, expiry, transfers, storage locations and unit-of-measure errors. Correct the record only after the difference has been investigated and approved.

Try it with your own stock

Twenty products are enough to reveal whether a deeper count-control problem may exist.

Open the Free Sample