Your cameras don't prevent theft, they document it
Almost all retail video surveillance exists to reconstruct what already happened. Preventing it means watching while it happens, and nobody can watch every screen at once.
Ask any store manager what they use the camera system for. The answer almost always comes in the same tense: we use it when something has happened. The till is short, a gap appears on a shelf, a customer complains, and somebody sits down in front of the recorder to go looking.
That is not prevention. It is documentation.
Footage is watched backwards
A conventional surveillance system does three things very well: it records, it stores, and it lets you search by date. All three are operations on the past. For that material to work as prevention, someone would have to be watching at the exact moment, on the right camera, understanding what they see.
In a shop with people on the floor, on the till and in the stockroom, that person does not exist. And where they do — a control room, a guard with a monitor — their attention is a resource that runs out: the more simultaneous feeds, the lower the odds that the one that matters is the one being watched.
A system you only consult after noticing a loss will never see the losses nobody notices.
The part nobody reports
Here is the underlying problem. Retail shrinkage is not only the theft somebody reports. It is also the goods-in error nobody catches, the expired product pulled without a record, the mishandled return and the internal theft that triggers no alarm at all.
The gap between book inventory and real inventory is called unknown shrinkage, and it has an awkward property: it produces no incident. There is no timestamp to jump to in the recording, because nobody knows anything happened until stock is counted, weeks later.
of sales lost to shrinkage in 2022, up from 1.4% the year before
in total losses across US retail that year
What those figures do not say, and it is the part that is genuinely hard to manage, is how much of that shrinkage never produced a report at all. A reported theft leaves a trail. A delivery note signed without counting does not. And no security camera is going to "catch" the second one in the classic sense. What a system that understands what it sees can do is record the moment a box comes in through the back door and never turns up anywhere afterwards.
What changes when the camera understands
The difference is not in the capture hardware. The cameras you already have installed are usually perfectly adequate. The difference is in who is watching, and when.
- 01
Analysis happens in the moment
The scene is interpreted as it unfolds, not when somebody opens the recording three weeks later.
- 02
The alert reaches a specific person
Not a screen nobody is watching: the phone of whoever is on the floor and can walk over.
- 03
What never gets reported still gets logged
Zones and hours with anomalous patterns are recorded even when nobody files a complaint.
- 04
Footage stops being the only evidence
You go from hours of recording to a list of moments actually worth looking at.
What this does not solve
Worth saying plainly, because the sector overpromises.
Nor does it eliminate false positives. Anyone telling you otherwise is selling you a demo, not a system. The sensible thing is to measure how many useful alerts it produces per discarded one, and to require that ratio to improve over time.
Where to start
Without changing the installation. If you already have IP cameras and a cabinet to put a unit in, the place to start is picking one concrete question — a blind spot, a stockroom door, a time of day — and checking over a few weeks whether the system answers it better than your current method.
If the answer is no, you found out in weeks rather than in a year. That is a result too.
