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Accio by Alibaba Group
Accio by Alibaba Group

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Implementing Multi-Agent AI for B2B Procurement Search

Multi-Agent System

We designed specialized AI agents to handle different aspects of procurement:

  • Supplier Evaluation: Verifies transaction history and ratings
  • Logistics Optimization: Calculates real-time shipping costs
  • Compliance Checker: Screens against export control lists

Key Update: In February 2025, we enhanced this system by integrating DeepSeek's inference models for improved decision support in complex scenarios.

AI Model Stack

Layer Components Functionality
Foundation Qwen2.5 + Custom Algorithms Cross-language search optimization
Enhancement DeepSeek Models Advanced decision support

This hybrid approach allows us to:

  • Process queries in 5 languages (EN/DE/FR/ES/PT)
  • Understand industrial terminology (e.g., "ASME B16.5 flanges")

Data Infrastructure

Our real-time processing handles:

  • 250,000+ supplier profiles
  • 30M+ cross-border trade relationships
  • Continuous updates via ERP system CDC pipelines

Performance Highlights

  • Query Response: <30 seconds for complex procurement plans
  • Accuracy: 20-30% higher conversion rates than traditional search (per our 2024 tests)
  • Scalability: Serves 1M+ enterprise users as of March 2025

Lessons Learned

  1. Industrial NLP: Requires heavy domain adaptation
  2. Multi-Lingual Support: Business terminology differs significantly from general language
  3. Real-Time Data: Supplier information has shorter validity than consumer goods data

For fellow engineers: How would you approach the challenge of standardizing industrial part numbers across languages?

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