STEP 01
Describe what you need
Start with a product brief, technical requirements, target market, pricing expectations, or reference images with notes. The workflow is built to capture sourcing context before research begins.
Natural-language product briefs
Multiple image attachments
Specifications and requirements
Target price and MOQ context
STEP 02
Search and compare sources
The platform gathers supplier signals, marketplace evidence, and public company information across the active sourcing workflow so you can compare options in one place.
Marketplace and web evidence collection
Supplier profile normalization
Pricing and trust signal comparison
Structured shortlist generation
STEP 03
Review supplier fit and risk
Each result is organized around sourcing relevance, trust indicators, and missing-data warnings so you can quickly spot which suppliers deserve follow-up.
Requirement-fit scoring
Trust and risk indicators
Contactability checks
Missing-information warnings
STEP 04
Take action with confidence
Save the best options, export findings, contact suppliers, and share a report with your team instead of repeating the same sourcing research manually.
Saved suppliers
Exportable results
Supplier outreach prep
Team-ready reports
Traditional sourcing vs. AI-assisted sourcing
Traditional sourcing
- Hours spent checking separate platforms
- Manual supplier comparison work
- Higher risk of missing warning signs
- Scattered notes across chats and spreadsheets
- Slow handoff to teammates and decision-makers
China Sourcing AI workflow
- One research flow for briefs, images, and notes
- Structured supplier comparison in one place
- Trust signals and missing-data flags surfaced earlier
- Source-backed outputs you can review quickly
- Faster team alignment and follow-up