Top OEM Develop Customer Insight

Problem

In industrial automation pre-sales, product definition, and OEM customer development, public materials often include only websites, job posts, and scattered news, without engineering details such as machine architecture, process routes, and automation control targets. This skill addresses how to turn fragmented public information into development-oriented material that helps judge a customer’s technical boundary, tier position, and entry points, rather than producing vague claims like “technically advanced” or “strong capability”.

How It Works And Limits

The skill runs as an OEM Insight Expert and applies a horizontal-vertical analysis workflow around the customer name provided by the user. Key steps include:
- Vertical evolution: trace the customer’s expansion from single machines to multi-machine lines and integrated lines, and identify major technology transitions.
- Horizontal comparison: select three leading domestic peers and compare tier positioning, homogeneity, and technology-route differences.
- Technical profiling: define the role of the main equipment in the upstream and downstream chain, reconstruct Process A → Process B flows, and extract automation targets such as tension control, multi-axis synchronization, and ±0.01mm accuracy.
- Conclusion: classify the customer as high/medium/low-end and performance- or cost-driven, with every claim labeled 【Public Information Confirmed】, 【Industry Inference】, or 【High-Risk Assumption】.

The skill fits industrial OEM customers with clear equipment categories and searchable public information. For pure software vendors, highly confidential projects, or micro-firms with little public data, conclusions rely more on industry inference and should be manually checked against process details and revenue estimates.