The Problem
Existing sourcing tools force procurement teams to work like machines. We flipped the paradigm - building a system that understands business requirements as humans do.
The Solution
Our architecture combines three technical breakthroughs:
Hybrid NLP Pipeline
- QWEN processes semantic meaning
- DeepSeek extracts technical specifications
- Custom fusion layer resolves conflicts
Dynamic Knowledge Graph
- Processes supplier data in real-time
- Maintains complex entity relationships
- Self-corrects data inconsistencies
Autonomous Agent System
- Learns negotiation strategies
- Adapts to market changes
- Explains its decisions
Why It Matters
This proves AI can handle complex enterprise workflows. The patterns we developed - particularly in model fusion and real-time graph processing - offer blueprints for other B2B applications.
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