Multi-Intelligents Implementation for Supply Chain Scenarios
The application of AutoGen in supply chain management can be structured in this way:
- Role Definition: Create specialized intelligences for purchasing, warehousing, logistics, etc., and configure the corresponding domain knowledge base for each agent.
- Synergistic mechanisms: Establish cross-departmental communication protocols through GroupChat and set up approval workflows (message_filter)
- tool integration: Docking ERP system APIs to enable intelligent bodies to query inventory, orders and other business data in real time
- Decision support: Configuration Analytics Intelligence using Python Math Library for Demand Forecasting and Path Optimization Calculations
- human-machine collaboration: Introduction of UserProxyAgent at key decision points awaiting confirmation from purchasing manager
Typical application: In the inventory warning scenario, the monitoring intelligent body automatically triggers the replenishment dialog flow after discovering an abnormality, coordinates with the purchasing intelligent body to generate the order scheme, and finally confirms the execution by the human agent.
This answer comes from the articleAutoGen: A Multi-Intelligent Body Dialog Framework Developed by MicrosoftThe
May not be reproduced without permission:AI productivity tools " How can AutoGen's multi-intelligence body technology be applied in supply chain optimization scenarios?
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