ChinaFood and restaurants2025 – ongoingYili Group
Qwen-based supply-chain queries and employee AI agents
Yili reported that Qwen-based analysis covered 70% of its supply-chain scenarios
Problem
Yili's business teams needed access to supply-chain data for operational decisions. Consumer research also required staff to prepare surveys and analyze feedback.
Approach
Yili introduced Qwen-based business intelligence in early 2025 so employees could query data in natural language and generate visual reports. It worked with Alibaba Cloud on AI infrastructure and applications. Yili also developed more than 800 agents using Qwen and other foundation models, including tools for consumer feedback and survey work.
Results
Takeaway
The disclosed coverage and agent counts measured adoption. Yili did not quantify the time saved on queries or research.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Logistics and supply chainInternal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
The report described natural-language supply-chain queries introduced in early 2025. It reported 70% scenario coverage and more than 800 agents, with examples in consumer-feedback analysis and survey preparation.
Full details are in the original sources.
