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2026/04/09 21:45:00

AI Reshapes A New Paradigm of Full-Link Management | Burgeon Invited to the 1st Meeting of International Supply Chain Committee 2026

Hosted by the International Supply Chain Committee under the China Chamber of Commerce for Import and Export of Textiles, the 1st Meeting of the International Supply Chain Committee 2026 was held at Chenfeng Fashion Industrial Park, Huaqiao, Kunshan. Centered on the theme “AI Empowers the Future – Outlook on Intelligent Transformation and Robot Application in the Textile and Apparel Industry”, the event brought together representatives from industry associations, AI technology enterprises and leading companies spanning the upstream and downstream textile and apparel industrial chain. Participants conducted in-depth discussions on key application scenarios and development trends of artificial intelligence within the sector.

The meeting was organized by the International Supply Chain Committee of the China Chamber of Commerce for Import and Export of Textiles, undertaken by Chenfeng Fashion Industrial Park and the Administrative Committee of Huaqiao Economic Development Zone, and co-organized by the Shanghai Garment Industry Association, Jiangsu Garment Association, Henan Garment Industry Association and Anhui Textile Industry Association.

 

 

Burgeon has developed a three-tier AI architecture consisting of Touchpoint Layer – Operation Layer – Strategy Layer, delivering a comprehensive blueprint for full-link retail management.

At the Touchpoint Layer, empowered by generative omnichannel content and intelligent shopping guides, it elevates marketing capabilities from personalized recommendations tailored to individual customers (“thousand people, thousand faces”) to scenario-adaptive engagement (“thousand people, thousand scenarios”) for an ultra-customized consumer experience.

At the Operation Layer, dynamic demand forecasting, intelligent production scheduling and real-time global inventory allocation enable an agile and flexible supply chain, addressing persistent challenges around inventory pressure and operational efficiency.

At the Strategy Layer, an “Invisible Brain” breaks down data silos, supporting granular management and democratized decision-making, equipping frontline practitioners with analytical insights comparable to C-suite executives.

Mr. Chen emphasized that 80% of AI transformations stall at the POC stage. The root cause lies in treating AI merely as an IT procurement project rather than thorough reconstruction of business models. Upholding the principle of a “top-leader-driven initiative”, Burgeon adheres to a long-term implementation roadmap featuring scenario definition, agile verification and seamless integration. By embedding AI deeply into all retail workflows, the company helps enterprises evolve from partial optimization to holistic growth and seize critical opportunities in digital transformation amid the AI era.

 

 

Chen Yulu, CTO of Burgeon Technology, was invited to attend the conference. Delivering a themed speech titled Empowering Global Operations: AI Reshapes the New Paradigm of Full-Link Management, he shared insights on intelligent management and big-data & AI-driven industrial ecological collaboration, and analyzed the pivotal role of data intelligence in supply chain management and marketing operations.

Amid the wave of AI-driven transformation reshaping the retail industry, the digital upgrading of most enterprises is trapped in isolated “point-based automation”. Fragmented AI tools only enable partial efficiency optimization, failing to facilitate cross-departmental collaboration or support overall business growth. Mr. Chen pointed out that genuine AI empowerment is far more than superficial technical iteration. Instead, it aims to build an integrated enterprise nervous system that unifies perception, decision-making and execution. Through a full-link AI architecture, it realizes non-linear collaboration and global optimization, enabling AI to serve as the core engine driving sustainable growth for retail enterprises.

 

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