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AS A LEADING PROVIDER OF INTELLIGENT INTRALOGISTICS ROBOTS AND SYSTEMS, WE RECOGNIZE THAT OUR BUSINESS SUCCESS IS INTRINSICALLY LINKED TO OUR BROADER SOCIETAL IMPACT, WHICH IS CRITICAL TO OUR SUSTAINED GROWTH.

WE PRIORITIZE ESG PRINCIPLES TO FOSTER A SUSTAINABLE ECOSYSTEM WITH EMPLOYEES, PARTNERS, AND CUSTOMERS.

Our sustainability strategy aims to improve internal processes and behaviors, promote sustainable practices into our products and solutions throughout the entire value chain, and drive sustainable and responsible sourcing and supply chain management.

 

Our core objective is to optimize the effective utilization of resources within the logistics process and innovate a sustainable, high-efficient, intelligent warehouse systems and solutions. It is this objective that has driven GALAXIS to achieve continuous improvement and unveil innovations to conventional obstacles – the practice of “green intelligent logistics” that not only fulfills the demands of contemporary logistics but also ensure economic feasibility and achieve energy conservation.

Enables the easy and flexible integration of third-party suppliers
Low-code DevOps-enabled platform supporting global distributed deployment
Automatically generate and adjust business models, enabling dynamic optimization
Processes million-level daily orders efficiently, ensuring real-time data consistency across all operational links

ENVIRONMENTAL SOCIAL GOVERANCE PRINCIPLES

We place Environmental, Social, and Governance (ESG) principles at the core of our strategy and drive sustainable development through continuous operational improvements. By implementing an intelligent supply chain management system, we enhance efficiency by connecting supply chain management with system implementation progress, monitoring demand for intelligent robots and software, and enabling real-time feedback to support the intelligent transformation of our just-in-time supply chain. As production capacity expands, we will integrate renewable energy, intelligent management, and demand-side energy management into our manufacturing processes. Energy-efficient lighting and electrical systems will be deployed in offices and production facilities to reduce emissions, move toward greenhouse gas neutrality, and build environmentally friendly green factories.

Rich industry expertise and highly adaptable
Distributed multi-process system architecture to enable comprehensive control of large-scale equipment operations
Order execution module serves to enhance picking efficiency, enabling real-time optimization of goods-to-person operations
Reduce the risk of total system downtime,improve the system and warehouse utilization

OUR COMMITMENTS​

Intelligent logistics technology escorts the production of lithium batteries. As a rapidly developing supplier of intelligent logistics solutions, GALAXIS is well versed in the needs and pain points of the lithium battery industry, and has rich logistics experience and the spirit of innovation.

Energy Conservation

Most of GALAXIS products using lithium batteries with super-capacitor, longer product life and better efficiency;
Work autonomously 7/24, adapt to ‘dark factory’ mode;

Increased Efficiency

Low-weight design, outstanding performance and reliability;
Dense storage improves space utilization;

Cost Reduction

Power management module to reduce idle operation;
Intelligent energy recovery system, saving up 90% of energy compared to traditional systems;

Built for Scalable Warehouse Automation.

Designed to support your storage density, operational efficiency, and future growth with flexible intelligent automation solutions.

Energy Conservation
Most of GALAXIS products using lithium batteries with super-capacitor, longer product life and better efficiency
Work autonomously 7/24, adapt to ‘dark factory’ mode
Enables management of ultra-high volume and inventory operations to achieve efficient high-throughput storage requirements
Integrated with WMS/WCS/MES/ERP via standard interfaces, coordinated with robotic arms, conveyor, elevators and other equipment
RCS utilizes machine learning to automatically generate business data models,enabling dynamic adjustments based on order patterns and operational needs