Malong Technologies develops AI-driven computer vision solutions for the retail sector, specifically focusing on loss prevention at self-checkout and staffed lanes through real-time product recognition. Their RetailAI® Protect system achieves 99% accuracy in identifying mis-scans and ticket-switching, significantly reducing shrinkage and enhancing customer privacy.
Funding
Funding not disclosed
Founders
Product
Problem
Retailers face significant losses due to mis-scans, ticket-switching, and other errors at self-checkout and staffed lanes, leading to reduced profitability and increased operational costs. Existing loss prevention methods often lack the accuracy and scalability needed to effectively address these issues across a wide range of products and store environments.
Solution
Malong Technologies offers RetailAI® Protect, a computer vision solution designed to prevent losses at self-checkout and staffed lanes. The system uses AI-powered product recognition to identify scan errors, including mis-scans and ticket-switching, in real-time. RetailAI® Protect achieves high accuracy while scaling to accommodate a large number of SKUs and store locations. By accurately identifying and preventing errors, the system reduces shrinkage and enhances customer privacy.
Target Audience
The primary target audience includes retail businesses seeking to reduce losses at self-checkout and staffed lanes, improve operational efficiency, and enhance the customer experience.
Features
- AI-driven product recognition for accurate identification of items at checkout
- Real-time detection of mis-scans and ticket-switching
- Scalable architecture supporting a large number of SKUs and stores
- Integration with existing self-checkout and staffed lane systems
- Protection of customer privacy during the checkout process
- Weakly supervised training to achieve 99% accuracy