As the logistics and warehousing industry embraces digital transformation, the need for smarter, more efficient systems becomes paramount. Leveraging technologies like the Internet of Things (IoT) and big data, smart warehouses are revolutionizing operations through real-time monitoring and optimization. High-accuracy location tracking is a critical component in this transformation, improving warehouse management and significantly boosting operational efficiency.

LocalSense® RTLS in Warehousing

Accurate Positioning
Real-time, centimeter-level tracking of assets, inventory, personnel, and equipment.
Ensures full coverage and real-time updates of critical warehouse elements.
Efficient Operations
Data-driven support for intelligent resource allocation and seamless coordination.
Reduces manual intervention, automating processes and boosting efficiency.


Versatile Applications
Stable operation in automated warehouses, large distribution centers, and multi-site environments.
Flexible solutions that enhance supply chain efficiency and drive business value.
Technical Overview

LocalSense RTLS Warehousing Applications

Employee Tracking
Tsingoal’s LocalSense RTLS allows real-time tracking of warehouse employees, which improves workforce management and operational efficiency by offering accurate location data for optimizing labor allocation, ensuring safety and enhancing productivity. In emergencies, it can quickly locate personnel for faster response.

Forklift Tracking
LocalSense RTLS not only tracks employees but also forklifts and other warehouse vehicles in real time. By tagging forklifts with micro tags, warehouse managers can monitor vehicle locations for efficient fleet management, reduced idle times, and prevention of equipment misuse.

Process Tracking
Tsingoal’s LocalSense RTLS excels at process tracking, ensuring visibility and coordination across the entire warehouse operation. By tracking the movement of materials, products, and equipment through the facility, the system helps identify bottlenecks, streamline workflows, and optimize inventory movement.
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