Midea Group(SZ:000333) Zheng Quan Ri Bao·2026-02-01 16:12Core Viewpoint - The manufacturing industry is at a critical juncture transitioning from "digitalization" to "intelligence," facing challenges in AI application due to issues like usability, interpretability, and IT governance [2][3]. Group 1: AI Platform Development - Midea Group's subsidiary, Meiyun Zhishu, launched the Meiqing AIGC 3.1 platform, aimed at addressing the difficulties in AI implementation within manufacturing [2][3]. - The success of AI applications relies on establishing a platform that supports the long-term operation of intelligent agents, rather than on specific models or applications [3]. - The Meiqing AIGC platform is designed as a unified base that connects existing enterprise systems like ERP, PLM, and MES, while also providing external computational power and algorithm support [4]. Group 2: Standardization and Scalability - The platform aims to transform intelligent agents from "custom development" to "replicable assets" through standardized development, evaluation, and operation processes [4]. - It includes over 50 intelligent agent templates and 500 enterprise connectors, significantly lowering the development threshold using no-code or low-code technologies [4]. - A standardized evaluation system with over 20 metrics is established to quantify the performance of intelligent agents before deployment [4]. Group 3: Knowledge Management and Decision-Making - The platform treats knowledge as an "engineering capability," emphasizing the entire process from collection to governance, which is crucial for building trust in AI outputs [5]. - The Meiqing AIGC platform boasts a semantic retrieval accuracy rate that exceeds mainstream open-source solutions by over 20% [5]. - It enables business personnel to directly pose questions in natural language, facilitating actionable insights rather than mere data interpretation [5][6]. Group 4: Industry Focus and Future Outlook - Meiyun Zhishu focuses on industrial scenarios rather than generic model development, leveraging Midea Group's extensive manufacturing experience [7]. - By 2025, Midea Group anticipates achieving over 600 million yuan in efficiency gains through AI applications, with cost reductions in certain scenarios reaching up to 90% [7]. - The integration of AI capabilities is viewed as essential for enhancing core competitiveness in the manufacturing sector, with the goal of creating scalable value through the Meiqing AIGC platform [7].