AI-Driven: Building the "Intelligent Brain" for Mold Manufacturing
Leveraging proprietary large language models and self-built computing infrastructure, we deeply integrate an enterprise-exclusive AI knowledge base. We digitize decades of accumulated expertise—including stamping mold design standards, defect resolution strategies, and forming process parameters. An AI assistant aids engineers in rapidly retrieving technical solutions and streamlining workflows, achieving a qualitative leap in the collaborative efficiency of mold R&D and design.
Intelligent Manufacturing Platform: Establishing a Fully Digitalized Closed Loop
Tailored to the specific characteristics of white goods molds and non-standardized automation lines, our proprietary Intelligent Manufacturing Platform deeply integrates IoT technologies. This enables the interconnection of data across the entire business chain—from procurement and production to quality inspection and finance—breaking down data silos and ensuring real-time visibility into the operational status of stamping lines, thereby solidifying the foundation for digital transformation.
Intelligent Warehousing: Efficient Turnover of Mold Components and Materials
Through automated vertical storage systems and AGV-based intelligent handling, we achieve seamless integration with ERP systems and our Intelligent Manufacturing Platform. We implement fully automated, end-to-end management for the vast array of mold components and sheet materials required for stamping production, boosting inventory turnover efficiency, ensuring uninterrupted production lines, and achieving precise cost reductions in warehousing management.
Process Automation: Digital Workers Replacing Repetitive Tasks
By introducing RPA digital workers, we automate high-frequency, repetitive tasks such as report aggregation, production document verification, and workflow approvals. Replacing manual operations with a digital workforce effectively minimizes human errors in production scheduling and piece-rate calculations, thereby freeing up human resources to focus on higher-value activities, such as mold improvement and process optimization.
AR Collaboration: Direct Expert Connectivity and Knowledge Capture
We innovatively introduce industrial AR glasses to enable "first-person-view" synchronization between remote experts and the production floor. When facing complex mold debugging challenges or production line malfunctions, on-site personnel can initiate a connection at any time, allowing experts to join and provide real-time guidance via PC or mobile device. Issues are resolved instantly within a virtual collaborative session, and relevant data is simultaneously converted into digital assets—significantly reducing travel expenses and enabling the enterprise to truly achieve cost reduction, quality improvement, and efficiency gains.
Innovation in Talent Team Structure
● IDO comprises a workforce of over 170 employees, including 50 engineers, 1 Ph.D. holder, 3 Master's degree holders, and numerous graduates from prestigious "Project 985" and "Project 211" universities.
● Development of Versatile Talent: A comprehensive team proficient in both technical expertise and international trade operations.
● A core technical team composed of highly experienced senior specialists with deep, long-standing expertise within the industry.
● A tiered organizational structure that combines a youthful technical team with seasoned experts, fostering sustainable innovation through the synergy of new and veteran talent.
Innovation in Talent Development Systems
● Internal corporate training and growth mechanisms designed to foster sustainable R&D capabilities.
● Regular advanced professional technical training and instruction on emerging industry technologies.
● A structured development system for new hires, alongside a progressive advancement and promotion framework for engineers.
● External industry exchanges, participation in technical summits, and professional certification training.
● A strong emphasis on university-industry collaboration and talent cultivation; each year, exceptional talent is recruited from higher education institutions through targeted recruitment and joint development programs.
Core Strategic Directions
● Technological Leadership: Continuously invest in R&D to maintain a leading-edge technological advantage, drive product innovation and technical breakthroughs, and establish industry barriers.
● Business Model Innovation: Explore novel business models, optimize profit structures, enhance market competitiveness, and achieve sustainable growth.
Long-Term Strategic Directions
● Effective Growth and Industry Leadership:
Focus on core business expansion, optimize resource allocation, increase market share, strengthen industry leadership, and steer the direction of industry development.
● AI Empowerment and Digital Transformation:
Fully embrace the integration of AI and manufacturing, accelerate the digital transformation process, and enhance operational efficiency and the intelligence of decision-making.
● Sustainable Development for Employees and the Company:
Prioritize employee growth and well-being, establish sustainable development mechanisms, foster mutual growth between employees and the company, and promote robust, long-term development.