Russia’s largest alcohol distributor, Novabev Group, has deployed autonomous inventory robots from Yandex Robotics in its main distribution center in Moscow. This marks the group’s first implementation of warehouse automation, boosting the speed of inventory checks along a single aisle by 60 times compared to manual counting.

  • The robots independently scan products, cross-check pallets against warehouse management system (WMS) data, and flag discrepancies without halting warehouse operations.
  • Inventory counting time per aisle dropped from several hours to just minutes.
  • According to a study by Yandex Robotics and Promrobotics, 88% of companies plan to introduce mobile robots in their warehouses within the next few years.

These robots navigate aisles autonomously and feed data directly to the WMS. Equipped with lidar, cameras, ultrasonic sensors, and other safety features, they ensure precise movement and obstacle detection. Previously, the same inventory tasks required manual labor involving work stoppages and risky operations at height.

Yandex Robotics inventory robot operating in Novabev Group's Moscow warehouse

Novabev Group’s strategy for warehouse robotics adoption

Novabev Group views warehouse automation as a strategic move to modernize operations and increase efficiency. The company promotes continuous improvement by leveraging technology to streamline processes while reducing employee exposure to repetitive and hazardous tasks by delegating them to robots.

Warehouse robotics adoption is rapidly growing across Russia. A collaborative study by Yandex Robotics and Promrobotics (formerly KUKA) found that 71% of Russian companies plan to deploy at least ten mobile robots at their facilities. The primary reasons are productivity improvements (32%) and addressing labor shortages (30%).

Unlike Western markets, where Amazon and Walmart have long integrated robotics into highly automated supply chains, Russian companies are just beginning to scale similar solutions. Novabev’s project highlights a growing trend toward digitization and automation in Russia’s logistics sector, traditionally reliant on manual labor.

As this technology matures and scales, it will be important to observe how regional warehouse automation competes with global leaders deploying fleets of robots optimized for ultra-fast, fully integrated fulfillment centers. Novabev’s success could accelerate broader adoption of robotics across Russia’s distribution networks.

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