面向跨境电商公司的多 Agent 经营决策系统,覆盖广告数据治理、投放诊断、利润核算、选品、库存供应、消费者洞察、素材分析与合规审查。
Repository initialized. The current milestone is architecture and domain design; application code has not been implemented yet.
- Automatically ingest and normalize advertising, order, product, cost, inventory, refund, and exchange-rate data.
- Diagnose advertising anomalies with traceable metric evidence.
- Calculate contribution profit instead of relying on ROAS alone.
- Rank existing and candidate products and generate cold-start test plans.
- Analyze audience behavior, reviews, refunds, and advertising creatives.
- Enforce inventory, supply-chain, platform-policy, and compliance constraints.
- Produce human-reviewable operating decisions, alerts, and daily reports.
The system is organized around one supervisor and eight domain agents:
- Supervisor Agent
- Data Governance Agent
- Ad Performance Agent
- Product Intelligence Agent
- Customer Insight Agent
- Creative Intelligence Agent
- Profit & Supply Agent
- Compliance & Risk Agent
- Business Decision Agent
See docs/architecture.md for the system boundary and collaboration model.
.
├── docs/ Architecture and product decisions
├── .editorconfig Shared editor conventions
├── .env.example Environment variable contract
├── .gitignore Local and sensitive-file exclusions
└── README.md Project overview
Real merchant data must be anonymized before entering development, test, evaluation, or demonstration environments. Secrets and raw exports must never be committed.