Self-checkout systems have evolved rapidly over the past decade. Early systems did not have the sophisticated intelligence that today’s self-checkout technology offers. Retailers who are using self-checkout systems or are considering moving to customer self-checkout convenience should investigate the available solutions carefully.
To better understand today’s self-checkout technology, LPM asked Subramanian Kunchithapatham, vice president of engineering at Sensormatic Solutions, to explain how artificial intelligence (AI) helps retailers provide a better customer experience while helping prevent loss. To read a more in-depth discussion, download the LPM whitepaper “Navigating a Profitable Path on the Journey to a Cashierless Future.”
How have self-checkout systems incorporated artificial intelligence and what are the benefits of AI?
Artificial intelligence has become a critical component of loss prevention in self-checkout technology. Incorporated into the video and scanning systems, AI allows retailers to collect insights into the self-checkout process to predict patterns, identify frictions in checkout, and better understand how theft occurs. AI systems in self-checkout kiosks can detect anomalies in a customer checkout, flag suspicious transactions, and alert staff to suspected shoplifting in progress.
Continue reading: https://losspreventionmedia.com/how-ai-helps-retailers-manage-self-checkout-accuracy-and-loss/
To better understand today’s self-checkout technology, LPM asked Subramanian Kunchithapatham, vice president of engineering at Sensormatic Solutions, to explain how artificial intelligence (AI) helps retailers provide a better customer experience while helping prevent loss. To read a more in-depth discussion, download the LPM whitepaper “Navigating a Profitable Path on the Journey to a Cashierless Future.”
How have self-checkout systems incorporated artificial intelligence and what are the benefits of AI?
Artificial intelligence has become a critical component of loss prevention in self-checkout technology. Incorporated into the video and scanning systems, AI allows retailers to collect insights into the self-checkout process to predict patterns, identify frictions in checkout, and better understand how theft occurs. AI systems in self-checkout kiosks can detect anomalies in a customer checkout, flag suspicious transactions, and alert staff to suspected shoplifting in progress.
Continue reading: https://losspreventionmedia.com/how-ai-helps-retailers-manage-self-checkout-accuracy-and-loss/
