Case Study: Sagra Technology achieves 98.3% SKU detection accuracy with Neurolabs ZIA

How Synthetic Computer Vision Delivers Faster & More Accurate Image Recognition For Sagra Technology

Sagra Technology, a Polish tech firm, struggled to quickly and accurately audit nearly identical pharmaceutical SKUs on store shelves for its mobile SFA solution. They needed a fast-to-implement image recognition system that could provide just-in-time results to sales representatives during pharmacy visits. They turned to Neurolabs and its ZIA (Zero Image Annotation) product for a solution.

Neurolabs implemented its synthetic computer vision technology, ZIA, which generates 3D models from product images instead of using manual annotation of real photos. This allowed them to deliver a custom solution for Sagra in just seven days, a fraction of the typical market time. The result was a 98.3% product detection accuracy rate, with results delivered in an average of five seconds, enabling Sagra to shift to a proactive approach with new product onboarding.

Sagra Technology