By leveraging natural language processing and image analysis technologies, complex data querying and processing tasks are automated, enabling ordinary employees to operate independently without relying on IT personnel, truly becoming production management assistants. 

By adopting template-based design and AI intelligent generation capabilities (such as automatically generating SQL and performing graphic matching), the traditional BI's long-term (weeks to months) launch cycle has been shortened to just a few hours, enabling the rapid solidification of the analysis process. 

By integrating large and small model technologies, solidifying manual experience and mining the potential patterns in data, it reduces human errors, accurately identifies abnormal trends and correlations, provides reliable basis for strategic decisions, and achieves a closed-loop optimization from data to action.