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Test supply chain demand and supply analysis at a Thai chemicals group

Alibaba QwenWorkVendor case studyOct 2026

SCG Chemicals (SCGC) told a customer panel at Qwen Conference Thailand 2026 that it tested Qwen/QwenWork on supply chain demand and supply analysis. Its digital and AI director said the tool handled the complex context well and cost noticeably less than some pricier models; this was a test, and no results figures were shared.

What they did

At Qwen Conference Thailand 2026, SCG Chemicals' enterprise digital and AI director said the company, which uses several cloud providers and Western models heavily, brought in Qwen and QwenWork to test data analytics and supply chain demand and supply analysis. He also said more than 5,000 SCGC staff use AI tools in daily work.

What happened

According to TechTalkThai's report, he said Qwen handled the detailed logic of analysis with complex context on par with pricier models, at noticeably better cost efficiency.

Keep in mind

This was a test described on stage at the vendor's own conference, with no accuracy, time or business figures. It is not clear which parts used QwenWork rather than the Qwen models directly.

Try it with your agent

Here are our last <number> months of demand and supply data: <sales, orders, inventory and production files>. Find where demand and supply were out of balance by product and region, explain the likely drivers using the data, and flag the three products with the highest shortage or overstock risk for next quarter. Show your calculations and list any data gaps.

Replace the <angle brackets> with your own details.