This grocery industry leader sought to overcome the limitations in their fraud detection methods. Learn what they achieved with Secure Coach. Read More
Explore how AI-powered EBR (exception-based reporting) can help you detect and reduce retail shrinkage in this four-minute podcast episode. Read More
Secure Inventory helps retailers optimize store inventory through artificial intelligence and advanced analytics. Read More
Discover how Secure contributed to a reduction in erosion and loss for a gaming and entertainment retailer. Read More
See how retail loss prevention and asset protection departments can identify the root causes of loss due to procedures, policies, or systemic errors, and improve profitability. Read More
This retailer found ways to control costs and reduce retail loss in two popular service areas—mobile self-checkout (SCO) and discretionary gifts. Read More
This supermarket used loss prevention/asset protection technology to keep up with overall growth and the addition of self-checkout and cashier-assisted checkout. The results were immediate. Read More
This retailer wanted an EBR system to address revenue, margin, and stock loss plus create actionable insights. It achieved ROI in just 3 months. Read More
Learn how this UK-based retailer achieved a 200+% ROI in the first year and a 15% reduction in retail fraud overall. Read More
A department store wanted to learn more than its data was revealing and to prove the value of adding artificial intelligence (AI) to its analytics arsenal — starting with loss and shrink from employee fraud. Read More
Learn how today’s AI evolved from rules and queries to predictive models and machine learning, helping reduce retail shrink and loss. Read More
Appriss® Secure exception analytics helps retailers reduce loss from employees, vendors, and processes. Find out in this quick overview. Read More
Sales reducing activities (SRAs) indicate where retail shrink may have taken place, but they can also be used as an early indicator of future retail shrink, too. Read More