Real Time Scan Avoidance Detection at Self-checkout with Checkout Visual AI
Scan avoidance is the principal cause of losses at SCO
- Every retailer we’ve talked to in the world
Scan avoidance, or miss-scans 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 that lead to significant losses. To detect Scan Avoidance, we designed SCO-Check, a Visual AI solution powered by ML, DL and Computer Vision AI that cuts shrink and improves productivity by automatically monitoring the shopper transaction process at and around the SCO. SCO-Check uses a combination of self-teaching algorithms to analyse, 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. It can also 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 have an adverse impact on customers’ shopping experience and 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 major brands and can be used with, and adapted to, any Self-Checkout terminal design.
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Visual AI Solutions for Retail
Why is a solution like SCO-Check needed?
The self-checkout market is expected to expand by more than 13% year on year through to 2029/30. Despite productivity gains and customer experience improvements, loss at SCO at estimated to be 7% or higher.
- Losses at Self-checkout are estimated to be at least 7%
- 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%
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. Hosts can be efficiently directed to assist customers with their purchases when incidents are detected automatically.
Looking where you Cannot see
Visual AI Solutions for Retail
SCO Zone “Walk-Throughs” & “Push-Outs”
A “Walk-Through” refers to “shoppers” that walk through the Self-checkout zone without paying. 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 Visual AI 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. Store or Security Staff are notified before the visitor reaches the exit. Alarm notifications can be as discreet or attention grabbing as the client requires.
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