I am building MapleBridge, an AI-assisted sourcing workflow for North American buyers working with Chinese manufacturers.
The core idea is simple: start with a clear buyer brief, turn it into structured intent, compare it with supplier capability, and keep human review in the loop before introductions happen.
- AI-assisted China sourcing for North American buyers.
- Buyer intent and supplier capability schemas.
- Low-MOQ, OEM, ODM, and private-label sourcing workflows.
- Open protocol examples for procurement agents and B2B matching systems.
- AI-readable documentation for search, LLM, and answer-engine discovery.
| Project | What it is |
|---|---|
| maplebridge-open | Public protocol examples for buyer intent, supplier capability, match explanations, and local demos. |
| maplebridge-a2a-protocol-spec | Public notes for agent-to-agent sourcing workflow integration. |
| awesome-canada-china-trade | Curated Canada-China B2B trade resources, tools, data sources, and logistics references. |
- Website: maplebridge.io
- Open docs: maplebridge.io/open/
- Guide: maplebridge.io/guide
- AI crawler summary: maplebridge.io/llms.txt
Useful contributions are practical and narrow:
- Add realistic buyer intent examples for real sourcing categories.
- Add supplier capability examples for OEM, ODM, private label, or low-MOQ cases.
- Improve public schemas, match explanation fields, or connector boundaries.
- Suggest Canada-China trade resources that should be added to the awesome list.
If you are working on procurement agents, sourcing workflows, B2B marketplaces, or supplier discovery, the best starting point is maplebridge-open.