Preventing revenue losses: fraud prevention at the self-service scale

A wide variety of technologies based on innovative process automation and digitally supported shopping experiences are booming in the stationary retail sector. In particular, networked retail solutions featuring artificial intelligence (AI) are growing in popularity. AI-based self-service scales with object recognition in the self-service are of the convenience store are just one example.

The 6 benefits of networked self-service scales with object recognition

• Reduced revenue shortfalls by minimizing incorrect registrations  
• Reduced losses, because the ability to recognize packaging means there is no need for manual selection and use of a standard tare  
• Shorter wait times, because the checkout process is sped up  
• Eases the load on cashiers because there is no need for weighing and item searching  
• Positive customer experience with self-service weighing without having to manually enter information  
• Improved sustainability because of unpackaged products, with no added effort 

Produce departments within the retail sector have visibly changed over the last 20 years. Product ranges have increased dramatically in size and the percentage of unpackaged products requiring weighing has increased. An AI-based scale with object recognition is a faster, more reliable solution for declaring items than input by shoppers or cashiers. It is time for the self-service scale to make a comeback in the produce section – for example, the new K3 from Bizerba with object recognition.