Inventory Shrinkage Control for Australian Managers: Count Before Tech

The fastest way to cut inventory shrinkage is to measure it accurately, then apply a prioritised mix of process, physical and technology controls rather than chasing one fix. Start today by calculating last month’s shrinkage rate and scheduling a cycle count for your highest-value SKUs. For the physical and monitoring layer, specialists such as ABCO Security can help you design controls that match your actual risk.

TL;DR:
Calculate shrinkage using cost value, reconcile open orders, returns, and transit stock first, then compare results by SKU to expose losses hidden by averages.
Count top selling or highest value SKUs weekly and other lines monthly; use full stocktakes to confirm period totals, not to locate when losses occurred.
Build targets from six to twelve months of site data, then pilot one control for four to eight weeks against a baseline and weekly measures.
Trace the ten highest loss SKUs against locations, staff shifts, and receiving timestamps before buying controls; match fixes to the dominant cause.
OAIC guidance treats facial recognition as high risk and recommends a documented assessment, data minimization, clear retention limits, and strong justification and notification.

Abcosecurity

abcosecurity.com.au

Match Security Controls to Risk

ABCO Security combines licensed professionals, advanced technology and 24/7 monitoring to address security challenges across diverse sectors.

Explore security solutions

What is inventory shrinkage and why it matters
How to calculate inventory shrinkage (formula and worked example)
Common causes of shrinkage, with operational indicators
What an acceptable shrinkage rate looks like and how to set targets
Controls to reduce shrinkage: process, physical and technology controls
How to implement a shrinkage control plan: prioritise, pilot, scale
Monitoring and KPIs: how to track progress and prove ROI
ABCO Security perspective: where security services fit into a shrinkage programme
Reduce shrinkage with ABCO Security’s monitoring and guarding services
FAQ
Sources

What is inventory shrinkage and why it matters

Inventory shrinkage is the gap between what your records say you should have on the shelf or in the warehouse and what you can actually count. It shows up as missing stock, damaged goods written off, administrative errors that never get corrected, and theft from customers, staff or suppliers. Most operations lump these together into one shrinkage figure, but each cause needs a different fix.

The financial impact runs deeper than the retail price of missing goods. Shrinkage distorts your demand forecasts, because the system thinks stock sold that never actually left through a sale. That pushes safety stock calculations out of alignment, service levels drop when you think you have cover but don’t, and margins erode quietly because nobody notices a slow bleed the way they’d notice a single large loss.

Retail crime is a measurable part of this picture. Retail locations accounted for a significant share of all recorded theft incidents in Australia, representing many retail theft victims, according to the Australian Bureau of Statistics. That figure covers reported theft generally, not shrinkage specifically, but it confirms that customer and opportunistic theft is a structural cost of doing business in physical retail, not an occasional anomaly you can ignore until stocktake.

For warehouse and ecommerce operations, the same principle applies even without a shopfront: errors in receiving, picking and returns processing create a shrinkage line that behaves exactly like theft on your balance sheet, even when nothing was stolen.

How to calculate inventory shrinkage (formula and worked example)

The standard shrinkage rate formula is:

Shrinkage rate = (Recorded inventory value, minus Actual counted inventory value) ÷ Recorded inventory value, multiplied by 100

Here’s a worked example using illustrative figures. Say your records show $500,000 of stock on hand at the end of the month. A full count finds $482,500 on the shelves and in the back room. The difference is $17,500.

To build this into a repeatable process:

Pick a consistent valuation basis (cost price, not retail price) so the figure isn’t distorted by margin changes between periods.
Set a fixed count window, ideally after close of trade and before the next receiving dock cutoff, so nothing moves mid-count.
Reconcile open purchase orders, pending returns and in-transit stock before you lock the “recorded” figure, or you’ll count transit stock as missing.
Run the same formula at SKU or category level, not just store-wide, because a 3.5% average can hide a 20% problem on three lines and near-zero everywhere else.

Cycle counts and full stocktakes answer different questions. A cycle count checks a rotating slice of SKUs, often weekly for your top-selling or highest-value lines and monthly for everything else, and catches problems while they’re still small. A full stocktake gives you the definitive shrinkage number for the period but tells you nothing about when the loss happened. Use cycle counts to triage and full counts to confirm.

A few data pitfalls generate false positives before you even get to a real cause:

Unposted receiving documents that leave stock “in the system” before it’s physically checked in.
Returns processed to the wrong location or SKU, which shows a surplus in one place and a shortage in another.
Promotional or bundled items counted under the wrong code, splitting one SKU’s true stock across two records.
Timing mismatches between the count date and the last sales or dispatch cutoff.

Common causes of shrinkage, with operational indicators

Shrinkage rarely has one cause, and the right control depends on which cause is dominant at your site. The practical move is to triage before you spend.

Customer theft and organised retail crime often shows up as pattern losses on small, high-value, easily concealed items, and as repeat incidents in the same aisle or display. A recent analysis from Monash University notes an escalation in retail crime in Australia, with many retailers reporting more frequent customer theft and industry forums pushing for coordinated responses.
Employee theft and internal diversion tends to cluster around after-hours discrepancies, shortages concentrated on shifts with a single staff member, or losses on employee-discount or staff-access-only SKUs.
Process and data errors appear as mismatches between goods received notes (GRNs) and physical counts at receiving, mispicks that create a shortage in one location and a surplus in another, and mislabelled SKUs that make two different products look like stock movement on one line.
Supply-side causes include short-shipments that aren’t checked against the purchase order at the dock, and, less commonly, supplier-side fraud on invoiced quantities.
Damage and expiry losses are usually the easiest to confirm, since they leave physical evidence, but they’re often under-recorded because write-off paperwork gets deprioritised during busy periods.

A quick triage: pull your top ten shrinkage SKUs by value, check their location and access pattern, and cross-reference against shift rosters and GRN timestamps for the same period. That single exercise usually points you at the dominant cause before you commit to any new control.

What an acceptable shrinkage rate looks like and how to set targets

There’s no single benchmark that fits every operation. A jewellery retailer, a grocery chain and a warehouse distribution centre carry very different risk profiles because of SKU value, foot traffic and handling steps, so a target copied from an industry average is often meaningless for your site.

A more reliable method is to build your own baseline from six to twelve months of your own count data, then set an interim target that’s a realistic percentage reduction from that baseline, followed by a stretch target once the interim is sustained for two or three cycles. Pushing the target too aggressively too fast usually means spending on controls where the cost outweighs the loss they prevent, so weigh each control’s cost against the specific loss it addresses before locking in a stretch number.

Controls to reduce shrinkage: process, physical and technology controls

Start with the controls that cost the least and touch the most SKUs, then layer in higher-cost options where the data supports it.

Process controls come first because they’re usually the cheapest to fix and the biggest contributor to “unexplained” loss. Standardise receiving and returns SOPs so every goods received note is checked against the physical delivery before it’s signed off. Set a cycle counting cadence (daily for top SKUs, weekly or monthly for the rest) and build a separate workflow for high-value items that requires dual sign-off on movement.
Physical controls address the environment itself. Review store and warehouse layout for sight lines, keep high-value stock in locked cages or cabinets, and use electronic article surveillance (EAS) sensors on lines with a history of loss. For construction and industrial sites, a documented check-in process and locked storage cuts tool and materials theft without needing new technology.
Technology controls add visibility once the basics are in place. Barcode or RFID tagging closes the gap between what moved and what was recorded. POS exception reporting flags voids, discounts and no-sale transactions that correlate with internal loss. CCTV placement matters more than camera count, and AS 4806 placement guidance helps you cover entry points, high-value displays and blind spots without over-engineering the system. Monitored alarms and analytic alerts extend coverage outside trading hours.
Culture controls often get skipped, but staff training, clear ownership of loss-prevention tasks and regular briefings on what’s being tracked change behaviour faster than any camera. Accountability works best when it’s framed as protecting the team’s own numbers, not as surveillance of individuals.

Pro Tip: Run process and culture fixes for one full cycle before adding new technology. Tech spent on a problem that a tighter SOP would have solved is money you can’t get back.

One caution applies specifically to biometric technology such as facial recognition. The OAIC’s guidance on facial recognition treats it as high privacy-risk and recommends a documented risk assessment, data minimisation and clear retention limits before any deployment. A 2026 OAIC statement on the Bunnings decision reinforces that facial recognition use in retail settings carries a high bar for proportionality and notification. Treat this as a compliance step, not an optional extra, before any biometric system goes live.

How to implement a shrinkage control plan: prioritise, pilot, scale

Once you know your causes, score each potential control on three factors: the value of the loss it addresses, the likelihood it will actually reduce that loss, and the cost and effort to implement it. A locked cage for a $40,000-a-year loss category scores far higher than a full RFID rollout for a $4,000 problem, even though RFID looks more impressive on paper.

Design your first pilot to run four to eight weeks on one site or one category, with a baseline shrinkage figure captured before you start and the same metric checked weekly during the pilot. Set a decision point in advance, so you know before you begin what result will justify scaling the control and what result means you drop it.

Brief staff on the specific change, not just that “loss prevention is a priority,” and explain what’s expected of them operationally.
Update the relevant SOP documents the same week the pilot starts, so there’s no gap between the new process and the paperwork that describes it.
Assign one person as owner of the pilot’s data and reporting, separate from whoever approved the spend.

Pro Tip: Give every pilot a named owner and a hard review date. Controls that drift without a decision point tend to become permanent regardless of whether they worked.

For monitoring design, CCTV placement reviews or a forensic audit after a significant loss event, a licensed security specialist earns their fee quickly. Our team at ABCO Security works through exactly this kind of engagement, starting with a risk assessment before any equipment or patrol schedule is recommended.

Monitoring and KPIs: how to track progress and prove ROI

Shrinkage control only sticks when it’s reported on, not just implemented once and forgotten. Build a small KPI set and a fixed review rhythm around it.

Shrinkage rate, calculated the same way every period so trend comparisons are valid.
SKU or location variance, to catch a single problem area before it drags down the site average.
Exceptions per 1,000 picks or transactions, as a leading indicator that moves faster than the full shrinkage number.
Cycle count accuracy, which tells you whether your counting process itself is reliable.

Review exceptions daily, trend data weekly, and summarise for leadership monthly. Back this up with periodic sample audits on top-value SKUs, GRN reconciliation checks against supplier invoices, and a defined investigation workflow for any single-incident loss over a set dollar threshold. Skipping verification is how controls quietly stop working without anyone noticing.

ABCO Security perspective: where security services fit into a shrinkage programme

Shrinkage control usually fails when it’s treated as either a pure operations problem or a pure security service problem. It’s both. The process fixes above reduce the errors and easy-opportunity losses; physical and electronic security address the deliberate theft that process alone won’t stop.

Our typical engagement starts with a site risk assessment, moves into monitoring design (camera placement, alarm response, patrol scheduling) matched to the specific risk found, runs as a pilot against a baseline metric, and then settles into an ongoing service level agreement with regular reporting. We follow international quality and risk management standards and have extensive experience across diverse sectors, which shapes how we scope a monitoring programme against actual site risk rather than a generic template.

— Abco

Reduce shrinkage with ABCO Security’s monitoring and guarding services

If your shrinkage review points to theft rather than process error, we can help close that gap. Our A1 CCTV & Alarm Monitoring service covers continuous surveillance and alarm response, our Mobile Patrol Services add after-hours deterrence, and our Security Guarding and Construction Site Security Services put trained officers on-site for retail and construction loss-prevention needs. Our Night Owl Service starts from $5.45 a day for after-hours cover. Start with an on-site security assessment to see which controls match your actual risk.

FAQ

How to control inventory shrinkage?

Measure your shrinkage rate accurately first, then apply layered controls in order of cost and impact: process fixes like receiving SOPs and cycle counts, physical measures like locked storage and EAS sensors, and technology such as CCTV and exception reporting. Add staff training and clear ownership so the controls are actually followed day to day.

What is shrinkage in inventory management?

Inventory shrinkage is the difference between the stock your records say you have and the stock you can physically count, caused by theft, damage, expiry, supplier shortfalls or administrative errors. It’s usually expressed as a percentage of recorded inventory value for a given period.

How do you control shrinkage?

Control starts with accurate measurement at SKU and location level, followed by targeting the dominant cause found through a quick triage of count data, shift rosters and receiving records. From there, layer in process, physical and technology controls, prioritising whichever addresses the highest-value loss at the lowest implementation cost.

What is the 80/20 rule in inventory?

In inventory management, the principle generally refers to the idea that a small share of SKUs accounts for most of the inventory value or sales activity, which is why cycle counting and loss-prevention effort are usually concentrated on that smaller group of high-value lines rather than spread evenly across every SKU.