China Vehicle Sourcing Skill

Description

This skill helps international buyers navigate China's vehicle manufacturing landscape, which produces over 30 million vehicles annually and is projected to exceed ¥12.5 trillion in revenue by 2026. It provides data-backed intelligence on regional production clusters, vehicle types (passenger cars, commercial vehicles, motorcycles, NEVs), key manufacturers, and industry trends based on the latest government policies and industry reports.

Key Capabilities

Industry Overview: Get a summary of China's vehicle industry scale, production targets, and key policy initiatives.
Supply Chain Structure: Understand the complete vehicle supply chain from raw materials to manufacturing and sales channels.
Regional Clusters: Identify specialized production hubs for different vehicle types (passenger cars, commercial vehicles, motorcycles, NEVs) across China.
Vehicle Type Insights: Access detailed information on key vehicle segments (passenger cars, commercial vehicles, motorcycles, new energy vehicles).
Sourcing Recommendations: Get practical guidance on evaluating vehicle manufacturers, including verification methods, communication best practices, typical lead times, and payment terms.

How to Use

You can interact with this skill using natural language. For example:

"What's the overall status of China's vehicle industry in 2026?"
"Show me the supply chain structure for vehicle manufacturing"
"Which regions are best for sourcing NEVs?"
"Tell me about motorcycle manufacturing clusters"
"How do I evaluate commercial vehicle suppliers?"
"What are the requirements for importing vehicles from China?"

Data Sources

This skill aggregates data from:

Ministry of Industry and Information Technology (MIIT) official policies
China Association of Automobile Manufacturers (CAAM)
China Motorcycle Association
National Bureau of Statistics of China
China Customs export data
Industry research publications (updated Q1 2026)

Implementation

The skill logic is implemented in do.py, which reads structured data from data.json. All data is cluster-level intelligence without individual factory contacts.

API Reference

The following Python functions are available in do.py for programmatic access:

`get_industry_overview() -> Dict`

Returns overview of China's vehicle industry scale, targets, and key policy initiatives.

Example:

from do import get_industry_overview
result = get_industry_overview()
# Returns: production volume, revenue, NEV share, export volume, etc.