China Industrial Machinery Sourcing Skill
Description
This skill helps international buyers navigate China's industrial machinery manufacturing landscape, which is projected to exceed
¥11.8 trillion in revenue by 2026. It provides data-backed intelligence on regional clusters, supply chain structure, and industry trends based on the latest government policies and industry reports.
Key Capabilities
- - Industry Overview: Get a summary of China's industrial machinery industry scale, development targets, and key policy initiatives.
- Supply Chain Structure: Understand the complete industry chain from raw materials and core components to downstream applications.
- Regional Clusters: Identify specialized manufacturing hubs for different machinery types (CNC machine tools, construction machinery, agricultural equipment, packaging lines, robotics, etc.).
- Subsector Insights: Access detailed information on key subsectors (metal cutting machine tools, construction machinery, agricultural machinery, packaging machinery, industrial robots, etc.).
- Sourcing Recommendations: Get practical guidance on evaluating and selecting suppliers, including verification methods, communication best practices, and typical lead times.
How to Use
You can interact with this skill using natural language. For example:
- - "What's the overall status of China's industrial machinery industry in 2026?"
- "Show me the supply chain structure for industrial machinery"
- "Which regions are best for sourcing CNC machine tools?"
- "Tell me about construction machinery manufacturing clusters in China"
- "How do I evaluate suppliers of packaging lines?"
- "What certifications should I look for in industrial robot suppliers?"
Data Sources
This skill aggregates data from:
- - Ministry of Industry and Information Technology (MIIT) official policies
- China Machinery Industry Federation (CMIF) annual reports
- National Bureau of Statistics of China
- 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 industrial machinery industry scale, targets, and key policy initiatives.
Example:
```python
from do import getindustryoverview
result = getindustryoverview()
Returns: industry scale, 2026 targets, automation rates, key drivers, etc.
中国工业机械采购技能
描述
本技能帮助国际买家了解中国工业机械制造业格局，该行业预计到2026年收入将超过
11.8万亿元人民币。它基于最新政府政策和行业报告，提供关于区域集群、供应链结构和行业趋势的数据支持型情报。
关键能力
- - 行业概况：获取中国工业机械行业规模、发展目标和关键政策举措的摘要。
- 供应链结构：了解从原材料和核心零部件到下游应用的完整产业链。
- 区域集群：识别不同机械类型（数控机床、工程机械、农业设备、包装线、机器人等）的专业制造中心。
- 子行业洞察：获取关键子行业（金属切削机床、工程机械、农业机械、包装机械、工业机器人等）的详细信息。
- 采购建议：获得评估和选择供应商的实用指导，包括验证方法、沟通最佳实践和典型交货周期。
使用方法
您可以使用自然语言与此技能交互。例如：
- - 2026年中国工业机械行业的整体状况如何？
- 展示工业机械的供应链结构
- 哪些地区最适合采购数控机床？
- 告诉我中国的工程机械制造集群
- 如何评估包装线供应商？
- 工业机器人供应商应具备哪些认证？
数据来源
本技能汇总来自以下机构的数据：
- - 工业和信息化部官方政策
- 中国机械工业联合会年度报告
- 中国国家统计局
- 行业研究出版物（2026年第一季度更新）
实现方式
技能逻辑在do.py中实现，该文件从data.json读取结构化数据。所有数据均为集群级情报，不包含单个工厂的联系方式。
API参考
以下Python函数可在do.py中用于程序化访问：
getindustryoverview() -> Dict
返回中国工业机械行业规模、目标和关键政策举措的概述。
示例：
python
from do import getindustryoverview
result = getindustryoverview()
返回：行业规模、2026年目标、自动化率、关键驱动因素等
