Vionvision helps you combat retail fraud and protect your money in the real-time by integrating with AI modeling and fully utilizing ReID computer vision technology.
In cashier fraud scenario, Cashiers might process transactions through their personal PoS devices, diverting sales revenue away from the store and into their own accounts. While in return fraud scenario, Employees might helps process fraudulent returns or exchanges to obtain refunds or store credit for items that were not actually returned by customers.
Now using ReID and body movement tracking technology, we can track customer entry and cross-check it with PoS system data to assist in detecting staff fraud and return fraud. Along with LLM, some of the very complicated scenarios that need objective processing can now be also enabled to greatly increase the accuracy and timeliness.
Under-scanning and quick-in & quick-out behaviors can cause severe Economic losses. To prevent this from happening, we use advanced artificial intelligence and computer vision technology to detect unusual behaviors from customer gestures and time spent in the checkout area. For the aforementioned scenarios, alerts can be issued immediately to notify the store manager, central console, or directly trigger the alarm system.
The absence of staff members and disordered scheduling may create opportunities for theft, fraud, and other security issues that should be prevented with on-site monitoring. By tracking the status of the shop assistants, and monitoring the staff scheduling through cutting-edge technology, we could help the clients optimize understaffed situation in high accidence areas. and for scenarios where crime groups may randomly steal high-value merchandize for resale, which is becoming increasingly common, we utilize computer vision capabilities to instantly capture and issue alerts to ensure the economic security of the items.
