Meituan Logistics Early-Warning & Diagnosis System
Built a real-time early-warning and diagnosis system for logistics fulfillment, connecting operational signals to root-cause analysis and measurable improvement actions.
Problem & Constraints
Grid-station operators worked across a complex fulfillment chain with fragmented signals and slow manual diagnosis. They needed timely warnings, clearer causes, and actions tied to operational outcomes.
Engineering Role
Built the analytical and diagnostic system, connected fulfillment metrics across the workflow, and translated data signals into operational visibility and improvement actions.
System Architecture
Technical Approach
- Unified monitoring signals across the fulfillment process
- Identified abnormal patterns and connected them to likely operational causes
- Delivered diagnosis and action guidance to grid-station teams
- Tracked operational outcomes to validate whether interventions worked
Production Impact
Raised the on-time rate to 75%, reduced the error rate from 0.3% to 0.2%, improved labor efficiency from 200 to 231, lowered sorting cost from ¥0.13 to ¥0.104 per item, and reduced weather-related incidents by 70%.
What This Proves
Shows how large-scale data systems become operational engineering tools that improve reliability, cost, and frontline decision quality.
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