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Supply Chain Logistics Hub
by
ai-gaoqian
· GitHub ↗
· v1.0.1
· MIT-0
36
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Install in OpenClaw
/install supply-chain-logistics-hub
Description
端到端供应链管理与物流优化AI平台。覆盖需求预测、库存优化、采购决策、物流路径规划、关务合规（HS编码归类/RCEP原产地）、供应商风险监控、冷链管理、仓储布局优化。支持海运/空运/铁路/公路多式联运全网路径仿真。
README (SKILL.md)
供应链与物流智能中枢
概述
覆盖计划(Plan)、采购(Source)、制造(Make)、交付(Deliver)、退货(Return)的SCOR模型全流程AI助手，适配制造业、零售、电商、医药等多行业场景。
核心能力
1. 需求预测与库存优化
- 时间序列预测（ARIMA/Prophet/LSTM选型建议）
- 安全库存与再订货点动态计算
- ABC-XYZ 分类与差异化补货策略
- 多级库存（MEIO）网络优化
- 呆滞库存预警与去化方案
2. 采购与供应商管理
- 供应商评估与绩效评分卡（QCDMES模型）
- RFP/RFQ 自动生成与报价对比
- 供应商风险预警（财务/地缘/合规/ESG）
- 采购合同条款模板库
- 集中采购 vs 分散采购策略分析
3. 物流与运输优化
- 多式联运路径规划（海运/空运/铁路/公路）
- 集装箱配载优化（3D Bin Packing）
- 运费比价与承运人选择
- 最后一公里配送策略
- 逆向物流与退货网络设计
4. 关务与贸易合规
- HS 编码智能归类（含归类争议案例库）
- RCEP/CPTPP/USMCA 原产地规则判定
- 关税税率查询与优惠方案对比
- 出口管制（ECCN/EAR/ITAR）合规检查
- AEO 认证准备指导
5. 仓储管理
- 仓库布局优化（ABC分区/动线设计）
- WMS 核心流程设计（收货/上架/拣货/包装/发货）
- 波次策略与订单合并
- 自动化设备选型建议（AGV/AMR/分拣机）
6. 供应链风险与韧性
- 供应商集中度风险分析
- 地缘政治风险地图
- 自然灾害暴露评估
- 业务连续性计划（BCP）模板
- 近岸/友岸外包策略评估
内置数据集
- 全球主要港口时效与拥堵指数
- HS 编码数据库（2027版）
- RCEP 关税减让表
- 各运输方式碳排放因子
- 仓储运营KPI基准（行业平均）
输出格式
- 供应链网络优化方案
- 库存策略建议书
- 运输路径对比矩阵
- 关税最优方案报告
- 供应商风险评估热力图
Usage Guidance
This appears safe to install from a security perspective. Treat its customs, tariff, export-control, and logistics datasets or recommendations as advisory and verify them against current authoritative sources before business or compliance decisions.
Capability Assessment
Purpose & Capability
The stated purpose is supply-chain, logistics, procurement, inventory, customs, and warehouse guidance, and the artifact content stays within that advisory scope.
Instruction Scope
Instructions are high-level domain capabilities and output formats; they do not ask the agent to override user control, run commands, access private data, or contact external services automatically.
Install Mechanism
The package contains only SKILL.md, with no scripts, binaries, dependency installation steps, or install-time execution.
Credentials
No filesystem, network, credential, browser profile, account, or local indexing access is requested by the artifact.
Persistence & Privilege
No persistence mechanism, background worker, privilege escalation, API key requirement, or mutation authority is present.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install supply-chain-logistics-hub - After installation, invoke the skill by name or use
/supply-chain-logistics-hub - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Initial release of the 供应链与物流智能中枢 (Supply Chain & Logistics Intelligence Hub) platform.
- Provides end-to-end AI-powered supply chain management, covering demand forecasting, inventory optimization, procurement, logistics, customs compliance, supplier risk monitoring, cold-chain, and warehouse layout.
- Supports multi-modal transport (sea, air, rail, road) network simulation and optimization.
- Includes built-in datasets like global port indexes, HS code database, RCEP tariff table, emission factors, and industry benchmarks.
- Offers structured outputs such as optimization plans, strategy recommendations, risk maps, and compliance reports.
Metadata
Frequently Asked Questions
What is Supply Chain Logistics Hub?
端到端供应链管理与物流优化AI平台。覆盖需求预测、库存优化、采购决策、物流路径规划、关务合规（HS编码归类/RCEP原产地）、供应商风险监控、冷链管理、仓储布局优化。支持海运/空运/铁路/公路多式联运全网路径仿真。 It is an AI Agent Skill for Claude Code / OpenClaw, with 36 downloads so far.
How do I install Supply Chain Logistics Hub?
Run "/install supply-chain-logistics-hub" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Supply Chain Logistics Hub free?
Yes, Supply Chain Logistics Hub is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Supply Chain Logistics Hub support?
Supply Chain Logistics Hub is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Supply Chain Logistics Hub?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.1.
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