AI Six Pillars
New Strategy: AI strategic roadmap formulation · AI maturity assessment · Data asset capitalization planning
New Ecosystem: AI-driven customized design · Intelligent quoting and order commitment · Predictive maintenance as a service
New Business: Dynamic pricing and inventory optimization · Full-chain production parameter intelligent optimization · AI visual inspection full coverage
New Operations: AI-driven supply chain intelligent scheduling · Building the "AI Factory Commander"
New Organization: Digital employees (RPA+AI) popularization · Human-machine collaborative decision-making mechanisms · Embodied intelligence
New Technology: AI operations platform · Knowledge graph and intelligent Q&A · Digital twin · Supply chain collaboration platform · Co-creating industry standards
Core AI Capabilities
Full-Scene Precision Sensing: Industrial cameras, sensors, IoT platforms, real-time high-precision collection of equipment status, process parameters, product quality, and environmental information
Adaptive Precision Control: Automatic parameter, path and action adjustment based on sensory feedback, handling material deviations, positioning errors and other uncertainties
Natural Language Interaction & Knowledge Management: Enterprise knowledge brain, intelligent Q&A, document retrieval, automatic generation of technical proposals, training materials, and analysis reports
AI Visual Quality Inspection: LCD/OLED defect detection, surface scratches, alignment accuracy — 7×24 high accuracy, replacing and assisting human visual inspection
Predictive Maintenance: Analyzing equipment vibration, sound and temperature data, early fault warning, automatic maintenance work order generation
Agent Scheduling & Coordination: Large language model as the "commander", decomposing tasks, scheduling RPA/API to complete complex cross-system process automation
Business Decision Analysis: Analyzing massive internal and external unstructured data, providing deep insights and simulation projections for strategic planning and investment decisions
Product & Business Innovation Generation: Analyzing customer feedback and technology trends to generate new product concepts, design solutions, and marketing copy
AI-Driven Full-Process Innovation
AI-Driven Operational Excellence: Quality prediction, intelligent scheduling, resource optimization — improving quality with intelligence, enhancing efficiency with data, advancing toward the 6,000-employee RMB 10B goal
AI-Empowered Talent Growth: "AI + Talent" strategy, building an intelligent learning platform, activating organizational vitality, achieving win-win for individuals and the company
AI-Empowered Precision Win-Win: Integrating AI insights to precisely meet customers' explicit and implicit needs, creating beyond-expectation value through intelligent products and data services
AI-Led Green Manufacturing: AI-driven new materials R&D and process innovation, managing energy and resources, building a new model of green intelligent manufacturing
Intelligent Risk Early Warning System
Customer data transparent AI Agent · Project risk early warning AI Agent · Project-level dashboard
Data-driven proactive project risk control
Customer data access governance · Service governance · Integration governance · Experience governance
Six AI PillarsAI Visual Quality InspectionDigital Employee RPA
Intelligent Risk Early WarningFull-Chain Intelligent OptimizationCompany-Wide Innovation — AI