Case Study: Sagra Technology achieves 98.3% pharmacy shelf recognition in 7 days with Neurolabs

Sagra Technology launches shelf recognition in 7 days with Neurolabs at 98.3% accuracy

Sagra Technology, a provider of mobile software for sales and marketing, needed to rapidly audit 25 near-identical pharmaceutical products on pharmacy shelves. Their challenge was to distinguish between packs that differed only by dose count and to deliver results to sales reps during a store visit with high accuracy. They partnered with Neurolabs and its ZIA (Zero Image Annotation) technology to address this.

Neurolabs implemented its synthetic data approach, creating 3D digital twins of the products from PDF images instead of using traditional photo annotation. This solution was integrated via cloud APIs and delivered a model in just seven days. The results were a 98.3% detection accuracy with an average result time of five seconds, significantly accelerating Sagra's audit process and enabling proactive model updates for new products.

Sagra Technology