Have you ever reviewed your store's CCTV footage only to realize you missed critical moments when suspicious activity happened? You're not alone. Many retail owners struggle with inefficient monitoring, blind spots, and delayed response times. Traditional surveillance systems often rely on manual observation, which is prone to human error, fatigue, and inconsistency. Even with existing security staff, it’s difficult to detect subtle behaviors that may indicate shoplifting. This leads to losses, security risks, and a constant sense of uncertainty in managing your store.

Our app, Octrum, provides a simple yet powerful solution. By leveraging advanced Machine Learning and real-time computer vision, Octrum analyzes customer behavior to identify potential shoplifting actions the moment they occur. Once suspicious movement or activity is detected, the system sends instant alerts, helping store owners and staff respond quickly and effectively. This enables proactive loss prevention, improved store safety, and greater operational confidence—ensuring your business stays protected.