Intelligent Industrial Software is built relying on industrial data platforms, business asset centers, distributed AI training platforms, and AI Agent application development platform. It connects the entire chain of data, algorithms, processes, applications, and business systems, forming a closed loop of "data-model-agent-application". The platform is based on industrial LLM and intelligent engines, building an intelligent application matrix covering multiple business scenarios to assist enterprises in achieving automated and intelligent production and management decisions.
Realize the full link connection between data, algorithms, processes, applications, and business systems, forming an intelligent closed loop.
Integrate mainstream industrial systems such as ERP, MES, SCADA, etc., and support flexible expansion in multiple business scenarios.
Multi capability collaboration of data intelligence, model intelligence, and agent intelligence to enhance the level of business intelligence.
Preset intelligent application templates for multiple industries to quickly implement business scenarios.
Intelligent manufacturing process optimization
Intelligent scheduling of warehousing and logistics
Quality traceability and anomaly analysis
Energy consumption monitoring and energy-saving optimization
Multi system intelligent collaborative scheduling
Based on the intelligent assistant for device operation and maintenance, this industrial software is designed for customers to manage the entire lifecycle of equipment operation and maintenance. Maintenance personnel only need to describe the on-site situation in language to obtain the required information, significantly reducing troubleshooting time and improving equipment maintenance efficiency.
Deeply integrate the AI quality inspection system with quality management software (QMS), and apply industry knowledge from the AInnoGC industrial LLM to analyze quality inspection data through natural language interaction. Intelligent production visualization icons guide users in root cause analysis and provide process optimization suggestions, building a quality traceability analysis loop and greatly improving defect localization efficiency.
The beer quality management intelligent agent composed of AInnoGC industrial LLM and the beer taste analysis model is deeply integrated and bound with quality management industrial software and laboratory management systems to achieve quantitative analysis of beer taste and process formula optimization.
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