B&R Stores, a family-owned grocery operator in Nebraska, has deployed Simbe's Tally autonomous shelf-scanning robot to select locations in Lincoln. The technology captures real-time shelf-level data on product availability, pricing and placement to help store teams respond faster and improve the shopping experience. Tally automates manual inventory tasks that typically consume up to 30 hours weekly per store, freeing associates to focus on customer service and replenishment. The robot recently achieved UL 3300 certification, validating its safety in public retail environments. B&R Stores operates multiple supermarket banners including Russ's Market, Super Saver and Allen's across Nebraska, Iowa and Missouri. Simbe's platform is now deployed across 10 countries in various retail sectors including grocery and home improvement.

2026-05-29 [case study] Simbe elevates autonomous retail Store Intelligence with ASRock Industrial NUC-255H. Introduction As retailers increasingly rely on real-time data to optimize store operations, physical AI & automation systems are becoming essential to ensure accuracy and efficiency at scale. To support this transformation, Simbe partnered with ASRock Industrial to enhance the performance and reliability of its Tally autonomous shelf-scanning robot, part of the larger Store Intelligence(TM) platform. Built using ASRock Industrial's NUC-255H Industrial Motherboard, the system acts as the core computing platform, enabling real-time sensor fusion, navigation, and AI processing within fast-charging retail environments. This integration enhances operational consistency while supporting scalable deployment of intelligent, data-driven retail solutions. As Tally scaled globally to thousands of cities across 10 countries, both the system's capabilities and the demands on its compute platform evolved to support more advanced AI and navigation. Supporting these next-generation capabilities required a platform that could reliably operate under elevated temperatures, provide greater thermal headroom for increasingly advanced AI workloads, and enable long-term, always-on operation. Scaling innovation across a growing fleet also required a system optimized for consistency, reliability, and efficient deployment of new features. These evolving requirements highlighted the need for a more robust, purpose-built compute platform to support Tally's next phase of growth and innovation. To overcome these challenges, Simbe implemented ASRock Industrial's NUC-255H motherboard as the core compute platform for Tally 4.0, enabling a more robust and scalable foundation for autonomous navigation and operation. Acting as the central processor, the NUC-255H performs real-time sensor fusion to provide Tally with even more accurate awareness of its position and surroundings within dynamic retail environments. With its industrial-grade design, advanced Intel platform with integrated NPU for edge AI workloads, and expanded I/O for sensor integration, the system supports reliable and efficient operation. Through close collaboration between Simbe and ASRock Industrial engineering teams, a custom BIOS was also developed to enable secure boot using Simbe's signing key to protect customer data, streamline production with preconfigured settings, and support a branded system experience. * Enhanced Performance and Stability Delivers consistent system performance under sustained workloads, ensuring reliable operation in dynamic retail environments. * Improved Efficiency and Power Optimization Achieves approximately 20% lower power consumption while supporting advanced AI and navigation workloads. * Scalable Platform for Continuous Innovation Provides the flexibility to deploy new features and expand Tally's capabilities as AI and autonomy requirements evolve in complex store environments. Related Product

Simbe, a retail shelf digitisation company, has launched the Simbe Index, a retail insight engine tracking on-shelf availability during key shopping moments. The index analyses data from over 45 billion shelf photos captured globally through Simbe's Store Intelligence platform. The inaugural release examined the two-week period around Easter and Passover in 2025 and 2026. Out-of-stock rates increased 119% during holidays compared to preceding weeks, rising from 3.8% to 8.3%. Demand for eggs peaked two days earlier in 2026, creating a 131% surge, whilst chicken saw a 150% jump in out-of-stock pressure. The index will be released quarterly alongside major retail moments including back-to-school and winter holidays. Simbe's platform operates across 10 countries, serving retailers in nearly a dozen sectors.