73% Of shrink is preventable
Employee theft accounts for 29% at around $26 billion. The rest is inventory error and operational inefficiency — the part nobody investigates.
Commerce & consumer · North America
Seventy-three percent of your shrink is preventable, and most of it is not theft.
Inventory error and process failure quietly cost more than the losses you investigate.
1.6%
of retail sales lost to shrink, against a total US figure of roughly $90 billion.
In North America
This is what it actually runs on here.
Platforms in this market
- Shopify
- NetSuite
- SAP Retail
- Manhattan Associates
- Square
Rules that apply here
- PCI DSS
- state sales tax nexus
- FTC advertising rules
- CPSC recalls
We read the rule before the call. It is the cheapest way to prove we did the work.
What is happening
Most of your shrink is preventable, and the till already knows where.
Stock accuracy decays between counts
The system says one thing, the shelf says another, and the gap is discovered at the point where it costs a sale.
Channels disagree about the same item
Store, warehouse and online each hold a version of availability. Overselling and cancelled orders follow.
Margin by SKU is a month-end discovery
Discounting, returns and shrink are known individually and combined too late to change a buying decision.
However hard, whatever it is
Shrink is one example. Bring the number nobody can explain.
We wrote this about stock the system cannot see. If yours is returns, ranging or a supplier catalogue in nine formats, same approach.
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01 We sit with you
Days where the work happens, not a workshop in a meeting room. We watch the job get done and write down the shortcuts nobody wrote down.
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02 We read everything
Your data, your rules, your vendors and their documentation, and the published research on your sector. We report what is actually in there.
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03 We break it to first principles
Not which tool fixes this. What is actually causing it, taken apart until we reach the piece that cannot be divided further.
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04 Then we build
Weeks, not quarters. By this point we are not guessing what to build, and guessing is the thing that makes projects long.
Where we sit
Your store platform stays. We build what your stock cannot see today.
4
What you get
- Found Shrink attributed to cause, not just measured
- Accurate One stock position across every channel
- Sooner Margin visible while you can still act on it
3
Built new for you — none of this exists in your stack today
- A shelf sensor for stock the system cannot count
- A store tablet that makes a count take ten minutes
- A shrink board that names the aisle and the hour
2
The stock-truth layer Reads your tills and warehouse. Moves no stock on its own.
Connectors, one agreed meaning per field, and a model reading what no
field holds. Accuracy measured on your own records.
1
- Shopify
- NetSuite
- SAP Retail
- Manhattan Associates
- Square
What you already run — unchanged, and still yours
If the store touched it, we can read it. A till with a nightly file, a warehouse system with no API, a shelf nothing is counting. All of it is reachable.
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No API -
No documentation -
A terminal from 1994 -
It arrives as paper -
The vendor said no -
It reports nothing
Not a list of limits. Name yours on the call.
And once we can reach it, a model can read it. Most of the value here is in the sources nobody ever structured — the note, the letter, the screen.
Intelligence, plumbed in
A supplier catalogue in any format becomes one product record.
The unglamorous half: a connector per supplier, one product meaning in the layer, and a scored test set of real lines.
How we make AI survive real data-
Connectors -
A semantic layer -
Evals you can check
What changes
Judge us on this, not on what we built.
Found Shrink attributed to cause, not just measured
Separating theft from receiving error, transfer error and system error — because each has a different fix.
Accurate One stock position across every channel
Reconciled between POS, warehouse and online, so availability is true at the moment of sale.
Sooner Margin visible while you can still act on it
By SKU, store and channel, net of discount, return and shrink.
Who this is for
The people who feel this first
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Head of Retail Operations -
Supply Chain Manager -
Loss Prevention Lead -
E-commerce Head -
CFO
Straight answers
The questions you would ask on the call
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Is this loss prevention software?
Partly, but the larger opportunity is not theft. About 73% of shrink can be prevented. Most of it is stock and process error, not theft. That makes it a data problem, not a security one.
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We run stores and online on different systems. Is that a problem?
It is the normal situation and it is the actual work. Reconciling them into one truthful stock position is usually the single highest-value thing we do for a retailer.
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Do we need to replace our POS?
No. We read from it. Replacing a POS is disruptive, expensive and rarely the cause of the problem.
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Can AI clean up supplier catalogues?
Any format becomes one product record. We score the mapping against real lines, and report which suppliers still need a human eye.
Do you know the rules that apply in the United States and Canada?
For retail that means PCI DSS, state sales tax nexus, FTC advertising rules and CPSC recalls. We read the rule before the call, so the first meeting is about your operation rather than about us catching up.
Whatever retail needs here, we can make it.
What you already run stays where it is. Around it we build software, hardware and the process itself. Here that means a shelf sensor for stock the system cannot count.
See everything we build-
Software -
Hardware -
Ways of working -
Whole ventures
Honest about the numbers
The figure above is from NRF National Retail Security Survey, for retail.
We have not localised it, because a number nobody can check is worth less than a real one plus this sentence. The pattern travels. The size of it in your market is a question for the call.
Same industry, other markets