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AI Loss Prevention

AI loss prevention for retail stores.

Give your loss-prevention team a clearer starting point. AI Monitor connects supported behaviour alerts and checkout exceptions to the footage needed to investigate.

Start with your existing cameras. Compatibility assessed before rollout.

retail checkout environment for transaction review AI MONITOR / VIDEO INTELLIGENCE
PROTECT STOCK & REVENUEAI Loss Prevention
Suspected shopliftingPOS exceptionsCheckout review
WHAT THIS MEANS FOR YOUR BUSINESS

Focus investigation time

Start with flagged activity rather than reviewing recordings without a reference.

Add transaction context

Link compatible till exceptions to the relevant checkout footage.

Learn from reviewed events

Use confirmed findings to guide training, procedures and further investigation.

SEE IT IN PRACTICE

A checkout transaction needs a closer look.

A configured exception brings the till event to attention. The reviewer compares the available video and transaction record, then records whether it was a normal action, an error or an issue requiring investigation.

The business challenge behind this example

A stock discrepancy tells you there is a problem, but not necessarily where it started. Video and transaction context help investigators focus on events worth reviewing.

The exact setup is agreed for your site.
01Video or POS exception
02Review the full context
03Record finding & action
CHOOSE WHAT YOU NEED

The capabilities
behind the outcome.

Start with the features that answer your business question. Expand each card for how it works.

01

Suspected shoplifting

Flag behaviour that needs a closer look.

How it works

Supported behaviour analysis can bring possible concealment or unusual merchandise handling to attention. Human reviewers must check the complete context.

02

POS exception reporting

Start with transactions worth reviewing.

How it works

Assess available refund, void and other exception records from compatible point-of-sale systems. Link suitable transaction events to the relevant video.

03

Customer-not-present checks

Add visual context to a transaction.

How it works

Where supported, assess whether a customer appears to be present during a flagged checkout event. Camera view, synchronised timing and transaction data matter.

04

Staffed checkout analysis

Review possible scanning discrepancies.

How it works

Assess supported analysis of cashier-operated lanes to flag possible differences between visible checkout activity and transaction records.

05

Self-checkout analysis

Focus review on possible missed scans.

How it works

Evaluate supported self-checkout loss detection against the actual lane design and transaction interface. A potential exception is not automatically intentional theft.

06

Evidence & follow-up

Keep the investigation organised.

How it works

Agree how reviewed footage, transaction references, findings and corrective actions are retained and shared with authorised managers.

An AI alert is not proof of theft or fraud. Staff must verify the circumstances and follow the organisation's approved procedures before taking action.

WHAT YOUR TEAM CAN REVIEW

Useful information.
Clearer decisions.

Agree the information your managers and operators need, with access matched to their responsibilities.

Reporting depends on the selected features, configuration and available data.

  • Reviewed exceptions by type and location
  • Linked transaction references where available
  • Confirmed findings versus dismissed alerts
  • Recurring issues for training or investigation
GETTING STARTED

Start small.
Prove the value.

Begin with selected cameras and one clear objective. We assess, configure and test the solution before you scale.

  1. 01

    Assess the site

    Review your priorities, existing cameras, viewing angles and connectivity.

  2. 02

    Choose the applications

    Agree the required features, hardware, licences and integrations.

  3. 03

    Validate the results

    Test representative activity against clear pilot success measures.

  4. 04

    Put the insight to work

    Train the team and agree reporting, support and any monitoring service.

What we check at your site
  1. Clear views of merchandise handling and checkout activity.
  2. Compatible POS access for transaction-based applications.
  3. A documented review process and controlled access to evidence.
How we validate the pilot

Use authorised test scenarios and representative footage. Measure review usefulness and nuisance alerts; establish a loss baseline before claiming a financial improvement.

Pilot duration, equipment, costs and success criteria are agreed before deployment.

PLAN WITH CONFIDENCE

Questions about
your solution.

Does every feature require a till-system integration?

No. Some visual behaviour analysis can be assessed without transaction data. Transaction-based reporting and checkout correlation require suitable POS data and integration.

Will AI automatically identify someone as a thief?

No. The workflow flags activity for review. Findings and any intervention must be based on verified context, not the alert alone.

Can we use our existing CCTV cameras?

Potentially. We assess camera compatibility, image quality, coverage, recording access and connectivity before recommending equipment changes. Some views may need adjustment or additional hardware.

How is the solution priced?

Your proposal separates the selected software, on-site equipment, implementation, integrations and any ongoing monitoring or reporting service. Features are not automatically included in a base camera licence.

Can we start with a proof of concept?

A scoped pilot can be proposed around selected cameras and measurable objectives. The duration, equipment responsibilities, costs and success criteria are agreed before it starts.

How are privacy and access handled?

The assessment should define authorised users, viewing and export rights, retention, notices and data-handling requirements. Cloud locations and any required data transfers are reviewed for the selected platform.

YOUR NEXT STEP

See how this could work
at your site.

Tell us about your business and the problem you want to solve. We will guide you through a relevant demonstration and the next steps.

Request an AI demoStart with your requirements. No camera passwords needed.