Czech Grocery Chain's AI Robots Hit 90%+ Shelf Accuracy

Shoppers at Albert supermarkets in the Czech Republic are less likely to find empty shelves these days, thanks to AI robots that roam the aisles while customers shop.

The grocery chain, which operates 350 stores nationwide, partnered with Brain Corp to deploy shelf-scanning robots that automatically detect missing products, incorrect prices, and inventory gaps. The results exceeded even the company's optimistic expectations.

Albert set an initial accuracy goal of 90% across all product categories. The AI-powered system consistently performed in the high 90s, identifying products, price tags, and exceptions with remarkable precision. The technology got smarter with each scan, learning to recognize items and empty spaces more accurately over time.

The robots solved a problem that's plagued grocery stores for decades. Staff shortages, time constraints, and varying experience levels meant manual shelf checks often fell behind. Products sat in back rooms while shelves stayed empty until the next delivery window, frustrating shoppers and hurting sales.

"The data was clear, consistent, and accurate," says Ivana Stastnikova, Store Operations Process Lead at Albert. The system caught human errors that had gone unnoticed, including outdated price tags that teams corrected immediately.

Albert first tested automation in 2022 with robotic floor scrubbers. When those machines proved reliable, the company felt confident expanding into the trickier challenge of inventory scanning. "After successfully deploying autonomous floor cleaning robots, we knew automation could deliver both operational consistency and valuable data," explains Pavel Klemera, Operations Support Consultant.

The Ripple Effect

The success in Czech stores is opening doors across Central and Southeastern Europe. Albert has laid the groundwork to scale these AI-driven inventory insights to other markets, potentially transforming how grocery chains manage stock across entire regions.

Store employees now spend less time crawling around shelves with clipboards and more time helping customers. Brand partners get better shelf visibility for their products. Shoppers find what they need without making second trips.

The robots work during regular store hours, navigating around customers as they scan. They're designed to blend into the shopping experience rather than disrupt it, gathering data that once required closing sections or pulling staff from other duties.

For an industry running on razor-thin margins, the combination of accuracy and consistency matters enormously. Every empty shelf represents lost revenue and disappointed customers, costs that compound across hundreds of stores.

Albert's approach shows how AI can augment human workers rather than simply replace them, giving teams better tools to do jobs that matter more.