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The intelligent warehouse jointly developed by GALAXIS Technology and Ninebot, a global leader in intelligent short-distance transportation and robotics, has officially gone into operation. Ninebot’s East China after-sales parts intelligent warehouse deploys a fully integrated three-dimensional storage and retrieval system, where multiple types of robots and automated equipment work in coordination to build a highly efficient automated after-sales fulfillment center for the electric two-wheeled vehicle industry.
In the e-commerce-driven after-sales logistics scenario, enterprises face increasing pressure from rapidly growing order volumes, high SKU fragmentation, and rising customer expectations for fast delivery and service responsiveness.
Traditional warehouse operations rely heavily on manual handling, resulting in low picking efficiency, limited scalability, and high labor dependency. As after-sales networks expand globally, challenges in storage capacity, operational efficiency, and labor cost control become increasingly prominent.
GALAXIS delivered a fully automated goods-to-person warehouse solution based on a multi-robot collaborative system and high-density three-dimensional storage architecture.
The system integrates Miniload stacker crane systems for high-speed box-level storage and retrieval, VFR pallet handling robots for unmanned pallet transportation, and CTU tote handling robots enabling direct goods-to-person picking. Through coordinated system control, materials are automatically delivered to picking stations, eliminating manual travel within warehouse aisles and significantly improving operational efficiency.
After implementation, the warehouse achieved a 2.4x increase in storage volume utilization, significantly improving space efficiency within the same footprint. Space efficiency increased by 53%, enabling a more compact and optimized storage layout.
Operational performance also improved significantly, with labor efficiency increasing by 92% through automation and system coordination. At the same time, labor cost was reduced by 49%, demonstrating a clear transformation from manual-intensive operations to an intelligent, automated fulfillment model.
