The Gülsha method even pushes AI-powered self-checkouts to their limit: "Honest customers pay for the difference through higher prices"

Manipulation of self-checkout counters through deliberate incorrect scanning is costing the retail industry billions in losses. Supermarkets are now significantly upgrading with AI surveillance to stop this systematic shrinkage. Honest customers bear the additional costs through rising prices in the stores.

The Gülsha method even pushes AI self-checkouts to their limits: "Honest customers pay the difference with higher prices"

Retailers in the DACH region are facing a massive increase in shoplifting at self-service checkouts, which has gained new explosive power through prominent confessions such as that of Swiss podcaster Gülsha Adilji. In a recent debate in November 2026, it was publicly discussed that products are deliberately scanned incorrectly at self-checkout terminals to manipulate the final price. This development is forcing supermarket chains to make immense investments in artificial intelligence and surveillance technology, as the resulting losses now run into the billions. For honest customers, this indirectly means rising prices, while the industry faces a technological and ethical ordeal.

Technological armament against systematic shrinkage

To limit so-called shrinkage, retail groups are increasingly relying on camera-based AI systems that analyze movement patterns during scanning in real time. These systems recognize patterns when, for example, expensive organic products are declared as cheap standard vegetables or goods end up in the bag unscanned. However, the complexity of these algorithms reaches its limits when customers like Adilji specifically exploit the technical shortcomings. The economic damage is no longer a niche phenomenon, but a calculative factor that squeezes margins in the already competitive food retail sector. The costs for prevention and compensation for theft are systemically passed on to sales prices, further fueling inflation in retail.

Management challenges in smart retail

From the perspective of an MBA graduate or business administration student, this conflict represents a classic tension between operational excellence and customer experience. The introduction of self-checkouts was originally designed to reduce personnel costs and increase throughput. However, reality shows that the savings in personnel are partially neutralized by technological follow-up costs and loss of goods. For future executives in the field of retail management, this means that digital transformation processes must be evaluated not only from the aspect of efficiency, but increasingly under risk and behavioral aspects. Managing automated systems today requires a deep understanding of data analytics and behavioral economics.