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Fujitsu Leverages AI to Cut Retail Self-Checkout Fraud

Fujitsu EMEIA

News facts:
  • New solution co-created with major European supermarket chain uses Artificial Intelligence (AI) to cross-check barcodes on items at self-scan checkouts
  • Solution helps retailers cut substantial losses from self-service checkouts, a significant step towards frictionless, cashierless stores
  • By reducing self-service checkout fraud, the new Fujitsu solution holds the potential to save retailers tens of billions of Euro annually
Munich, January 11, 2019 – Fujitsu today announces a new solution that uses Artificial Intelligence (AI) to cut fraud at supermarket self-checkouts – where losses are usually around double that of manned registers. Fujitsu has teamed up with a leading European hypermarket retailer to co-create and test the technology, which represents a significant step towards frictionless, cashierless stores.
The solution works by adding low-cost cameras to existing self-checkouts and using AI to cross-check scanned items, helping detect and prevent fraudulent barcode use by consumers. A large-scale study1 by the UK’s University of Leicester found that retailers in Europe and the US that utilize self-service checkouts experience a shop-lifting rate nearly double compared with traditional manned checkout. By reducing self-service checkout fraud, the new Fujitsu technology holds the potential to save retailers billions of Euros annually.

Developed at Fujitsu’s AI Center of Excellence at Paris-Saclay in France, the new AI-based fraud prevention solution – part of Fujitsu’s Zinrai portfolio of AI solutions – is designed to help retailers cut losses at self-checkouts. The technology complements existing self-checkouts by cross-checking customers’ barcode scans against images from cameras fitted to already-installed scanners. The new technology is able to identify mismatches without the cost and complexity of adding graphical processing units (GPUs) to each checkout, substantially reducing the total cost of ownership and dramatically raising the return on investment.

Following development workshops with a leading European hypermarket retailer in December 2018, a pilot trial is taking place during January 2019. Following a machine learning stage, in which the system learns the key visual characteristics of any item presented at the checkout, it can tell the difference between an expensive item and a lower-cost item with the same weight, even when a barcode is transferred from one item to another. If an item’s expected appearance does not match the scanned barcode, then the self-checkout calls for a manual intervention and check. Fujitsu is also working to further develop the solution to detect additional checkout fraud methods including sweethearting, scan-avoidance and basket-based loss.
Bruno Sirletti, Vice President and Head of Retail & Hospitality at Fujitsu EMEIA, comments: “Fujitsu has moved well beyond the AI hype and is delivering real business outcomes from this promising technology. The fraud prevention solution is one of the first commercial applications that was developed in our AI Center of Excellence in Paris. This is a particularly pertinent topic for grocers, as there is typically around twice as much fraud committed at supermarket self-service checkouts compared to manned registers. However, our breakthrough technology reduces this fraud by making it very difficult to trick the checkout, and achieves this without inconveniencing honest shoppers. Through cutting fraud at self-service checkouts, grocers can take a step towards the frictionless, cashierless supermarket of the near future, while still maximizing their existing scanner investment.”

Fujitsu expects the future application of AI to create even greater efficiencies across the retail supply chain, with barcodes evolving from a simple SKU (stock keeping unit) listing to including more detailed information, such as logistics data and expiry dates. By extracting and analyzing this data, retailers can increase the efficiency of the tracking of goods, resulting in shorter, more effective supply chains and reduced losses from spoiled produce.
The Fujitsu solution is available immediately in the EMEIA region (Europe, the Middle East, India and Africa) via Fujitsu’s direct channels, with availablity in other regions expected later in 2019.
Notes for editors
1A study of self-checkouts with handheld scanners, conducted by the University of Leicester in the UK, found evidence of widespread shoplifting, based on data from nearly 12 million shopping trips, of which one million were audited in greater detail, at major Belgian, British, Dutch and US retailers. Researchers found that introducing self-checkouts raised the rate of loss by 122 percent to an average 3.9 percent of turnover. The European retail grocery market alone is estimated by analysts IGD to have a turnover of nearly €2 trillion, implying a potential saving of approximately €80 billion.

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About Fujitsu

Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 140,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.1 trillion yen (US $39 billion) for the fiscal year ended March 31, 2018. For more information, please see

About Fujitsu EMEIA

Fujitsu promotes a Human Centric Intelligent Society, in which innovation is driven by the integration of people, information and infrastructure. In the Europe, Middle East, India and Africa region (EMEIA), our 27,000-strong workforce is committed to Digital Co-creation, blending business expertise with digital technology and creating new value with ecosystem partners and customers. We enable our customers to digitally transform with connected technology services, focused on Artificial Intelligence, the Internet of Things, and Cloud - all underpinned by Security. For more information, please visit

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Date: 11 January, 2019
City: Munich