M

Midea

Midea Wuhu reduces delivery lead time 39% with AI-driven direct-to-consumer value chain

39%End-to-end delivery lead time reduction
30%Inventory days reduction
86%Market defect rate reduction

The Challenge

Midea Wuhu faced mounting complexity from a five-tier distribution network and small-batch orders, alongside rising consumer expectations for shorter lead times and improved service quality.

The Solution

The company engineered a direct-to-consumer value chain with 113 digital use cases (35% AI-driven), including real-time customer order management, an AI-enabled APS system, a supply chain control tower, and AIGC-powered service assistance.

Results

The initiative delivered a 39% reduction in end-to-end delivery lead time, a 30% drop in inventory days, and an 86% reduction in the market defect rate.

Key Takeaways

  • AI-enabled APS and control towers transform five-tier distribution into direct-to-consumer
  • 113 digital use cases with 35% AI-driven show the scale of comprehensive transformation
  • 86% market defect rate reduction demonstrates end-to-end quality impact

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Details

AI Technology
Predictive ML
Company Size
Enterprise
Company
Midea
Quality
Verified

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