RetailAI® Protect provides state-of-the-art AI for loss prevention at self-checkout and staffed lanes. Leveraging award-winning product recognition technologies, the system accurately identifies and stops common scan errors as they happen – including mis-scans and ticket-switching – while helping to protect customer privacy. The system offers industry-leading accuracy while being massively scalable for effectively unlimited SKUs and stores.
SCO terminals are rapidly replacing staffed lanes – but shrinkage is significantly higher at SCOs than at staffed lanes.
Shrinkage cost retailers $40 billion in 2018, and and losses are trending higher each year.
Two of the most common forms of scan fraud are mis-scanning and ticket-switching.
A customer might substitute their product's barcode with a less expensive barcode (ticket-switch) or avoid scanning the barcode altogether (mis-scan).
A high-definition camera positioned over the SCO station processes video of the transaction using a server running RetailAI® Protect.
RetailAI® Protect identifies the issue in near real time, pauses the transaction, and flags it for the attention of the store staff.
Alerted by RetailAI® Protect, the store staff greets the customer and provides assistance with on-screen guidance of what item was not scanned.
As per experience in actual deployments, results show that RetailAI® Protect can deliver hundreds of percentage points in direct ROI by reducing the majority of shrink caused by mis-scans and ticket-switching. The business case for your stores can be easily proven during a PoC.
RetailAI® Protect is easily scalable to thousands of stores across your chain with one core model. The AI system self-learns new SKUs and continuously improves its understanding of previously seen SKUs via a novel weakly supervised learning algorithm.
The RetailAI® Protect system only focuses on products, not people. Video which contains people can be automatically obfuscated to protect their privacy. This automatic obfuscation works for people of any age, gender or ethnicity; it is accurate and occurs in real-time.
This white paper describes a solution that Malong Technologies has developed with Dell EMC and NVIDIA to make it easier and more cost-effective for retailers to employ new technology to reduce inventory loss at the checkout lane in stores.