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Did you know that 1 in 3 customers don't scan all of their purchases when they use Self-Checkouts?

Failure to scan incidents at the Self-Checkout (SCO) can be caused by a lack of familiarity with the technology, process failure, or by deliberate actions that lead to shrink in the form of either product abandonment or theft.

 

Whatever the reason, shrink at Self-Checkouts was set to increase by €3 billion in the EU alone in 2020.

 

To overcome the challenges posed by the Self-Checkout process, we designed SCO-Check, a Video Analytics solution driven by Deep Learning AI that cuts shrink and improves productivity by automatically monitoring customer transactions.

 

SCO-Check uses a combination of self-teaching algorithms to analyse live streaming video of every transaction in real time to detect Non-Scan and Non-Payment incidents. If required, it can even be used for Hot List Product Recognition.

Productivity also receives a boost from from SCO-Check's automatic monitoring. Self-Checkout Hosts can be notified when clients are experiencing difficulty with the scanning or payment process to prioritise their actions. This can mitigate issues that might have an adverse impact on customers' shopping experience or result in longer waiting times for other shoppers.

 

SCO-Check is tailored to meet the needs of each retailer's Self-Checkout process. It's compatible with CCTV cameras of all the major brands and can be used with, and adapted to, any Self-Checkout terminal design.

 

Why is a solution like SCO-Check needed?

The Self-Checkout retail market is expected to grow >13% year on year to 2027 as retailers continue adoption of this technology. Likewise, Self-Checkout use by consumers is growing daily.

However, despite productivity gains, supermarkets commonly experience higher shrink as a direct result of increased SCO use.

Shrink at Self-Checkouts alone was expected to increase by an estimated 3 Billion Euro in the EU in 2020 alone.

  • Self-Checkout hosts cannot physically monitor every customer transaction
  • Not all customers are adept at using new technology and require assistance with scanning and payment
  • Some customers deliberately avoid scanning and payment
  • For every 1% increase in the use of Self-Checkout terminals by customers, SCO shrink increases by ~10%
  • If >50% of transactions take place at the Self-Checkout, theft is as much as 30%+ higher than at traditional checkouts

SCO-Check monitors 100% of Self-Checkout transactions to automatically identify incidents of Non-Scan and Non-Payment.

Incident notifications can be sent to any networked device in real time.

In terms of customer service and staff productivity, Hosts can be efficiently directed to assist customers with their purchases when incidents are detected automatically.

 

SCO Zone "Walk-Throughs" & "Push-Outs"

A "Walk-Through" refers to "customers" that walk through the Self-Checkout zone without paying for the goods they carry out of the store.

A "Push-Out" refers to a customer pushing a cart full of goods out of the store without paying.

Self-Checkout Hosts are often busy assisting customers, it can be difficult to monitor every movement across multiple checkouts, especially at peak times.

iRetailCheck uses AI Video analytics to monitor 100% of visitor movements (with or without a shopping cart, basket or bag), to remotely and automatically detect this behaviour in real time. Staff or security agents are notified before the visitor reaches the exit.

In all cases, alarms and alerts can be as discreet or attention grabbing as the client desires.