Frequently Asked Questions

There are two key reasons behind this focus:

Cost-effectiveness and ease of deployment –
Full-store loss prevention typically requires extensive wiring, a large number of cameras, and costly software infrastructure. In contrast, iDetector only needs a single camera and an AI software module. It can be deployed in as little as 10 minutes, offering a lightweight and high-ROI solution for retailers.

Accessibility for small and mid-sized businesses –
By designing a streamlined system, we make AI-powered loss prevention affordable and scalable. Our goal is to make advanced retail AI accessible to businesses of all sizes—not just enterprise-level retailers.

Although Winmore Digital was founded in 2018, our leadership team brings decades of experience across the retail value chain.

Our team includes former IBM consultants, project managers from CP Group, senior developers from top-tier ERP providers, cybersecurity specialists from Citibank, and even students of pioneers in AI research.

This unique blend of retail domain expertise and cutting-edge AI capability gives us a strong edge in delivering effective, practical, and scalable AI retail solutions

Importantly, all our AI models are designed to improve over time through continuous learning in real environments. Current customer deployments have demonstrated high satisfaction with recognition performance.

Our iScale product delivers over 99% accuracy in identifying fruits, snacks, and other retail goods.

iCanteen and iDetector, which are more customized and applied in cafeteria or checkout settings, achieve over 90% accuracy in real-world use.

iScale and iCanteen are AI vision solutions designed for different retail scenarios. iScale is an AI recognition solution for retail weighing systems, mainly used for fresh produce and weighed products. It focuses on single product recognition, identifying one item placed on the scale at a time.

iCanteen is designed for cafeterias, bakeries, and food service checkout. It supports multiple product recognition, allowing the system to identify several dishes or food items on a tray simultaneously.