![[Product Case Study] Trade Note With AI — AI-Powered Email Processing Desktop Workbench](/_next/image?url=%2Fproject%2Femail-to-note%2FS01-eml-to-crm-note-with-ai.png&w=3840&q=75)
[Product Case Study] Trade Note With AI — AI-Powered Email Processing Desktop Workbench
Project Overview
Trade Note With AI Shell is an AI-powered desktop productivity tool for manufacturing clients. It automatically parses customer order emails, extracts key information with AI, and outputs structured data to Feishu/Notion/CRM in one click — bridging the last mile from "inbox" to "business record."
Business Pain Points
Dozens of customer order emails daily, manually copied into business systems — slow, error-prone, impossible to trace.
| Pain Point | Impact |
|---|---|
| Inconsistent formats, slow manual entry | Every customer sends orders differently. Staff read each email, manually extract product model, quantity, delivery date — 3-5 minutes per email |
| Attachment chaos | Drawings, spec sheets scattered across inboxes and local folders, disconnected from business records |
| Multi-product-line sorting | Different product lines need separate database entries, manual sorting is error-prone |
| No processing audit trail | Who processed which email, when, with what result — no system record |
| Repetitive labor drains manpower | Staff spend 1-2 hours daily on "moving email data" |
Solution
One Pipeline, Five Steps
Email Ingest → Smart Parse → AI Extract → Structured Output to Feishu/Notion/CRM → Done
| Stage | Description |
|---|---|
| Email Ingest | Drag-and-drop .eml, paste full email text, or POP3 mailbox auto-sync |
| Smart Parse | Auto-extract sender, subject, body, attachments |
| AI Extract | LLM understands natural language content and extracts order key fields |
| Structured Output | Auto-write to the correct Feishu/Notion/CRM system by product line, attachments uploaded to cloud storage |
| Done | Real-time progress visible, complete processing history retained |
Three Input Methods
- Drag-and-drop .eml files — Batch export from Outlook/email client
- Paste full email text — No file export needed, copy and paste
- POP3 mailbox sync — Connect enterprise mailbox, auto-fetch inbox
Dual Product Line Channels
Two independent processing channels built in — separate processing logic and write targets per product line. Architecture supports flexible expansion on demand.
Technical Highlights
- Tauri v2 Desktop App — Lightweight native desktop shell (Rust kernel), package size in MB range, cross-platform
- Pluggable AI Workflow — OpenAI API-compatible, flexible LLM switching
- Deep Multi-Platform Integration — Direct API writes to Feishu/Notion/CRM, attachments hosted in cloud
- Local Data Security — SQLite local storage, all data stays on-premise
- Apple-Style UI — Dual-theme native desktop experience, install and go
Client Benefits
| Dimension | Benefit |
|---|---|
| Efficiency | Processing time from 3-5 minutes to ~10 seconds per email, ~30x faster |
| Data Standardization | AI unifies extracted field format, eliminating entry variance |
| Manpower Freed | 1-2 hours of repetitive data entry saved daily |
| Full Traceability | Complete processing record for every email |
| Zero Learning Curve | Desktop app install and use, no training needed |
Tech Stack
Tauri v2 · React 18 · TypeScript · Tailwind CSS · Node.js · Express
Notion API · OpenAI SDK · SQLite · Tencent Cloud COS · Zustand
Contact Us
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