AI Extraction / Cloud Migration
Yingdao RPA Gemini extraction and cloud-migration workflow
A workflow based on screenshot entries 提取GEMINI_云迁, 提取GEMINI, and 新建应用_云迁, turning messy data into structured sales and product intelligence.
Reference context
This workflow connects RPA task execution with AI extraction. It can read public pages, internal notes, product tables, or inquiry text, ask an AI model to structure the fields, and then migrate the result into a new app, sheet, Feishu message, or CRM-ready record.
This page is a clearly labeled benchmark, demo, or reference playbook unless separately confirmed as a Hexastruct closed client project.
Operating logic
- Collect source text from pages, tables, inquiry files, or product notes
- Use AI extraction prompts to identify category, buyer role, urgency, pain point, and missing fields
- Normalize the result into a stable JSON-like record
- Route clean records into cloud app, Feishu, CRM, or content-planning database
Expected outputs
- Structured extraction record
- Missing-field checklist
- Cloud migration table
- Feishu-ready summary
Why this matters for Google and buyers
Specific case pages help search engines understand Hexastruct services by category, market, workflow, and buyer problem. For human buyers, the same structure makes the offer easier to trust and easier to brief.
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