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Supply Chain Optimizer
by
ai-gaoqian
· GitHub ↗
· v1.0.0
· MIT-0
43
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Install in OpenClaw
/install supply-chain-optimizer
Description
智能供应链优化与物流管理技能。覆盖需求预测、库存优化、路径规划、供应商评估四大模块，支持多级供应链网络建模与What-If场景仿真。适用场景：制造业库存管理、物流路由优化、供应商选择决策。
README (SKILL.md)
Supply Chain Optimizer
核心能力
| 能力模块 | 功能描述 |
|---|---|
| 需求预测 | 基于历史销量、季节性、促销事件的多模型预测，支持ARIMA/Prophet/LSTM |
| 库存优化 | 安全库存计算、EOQ经济订货量、ABC分类管理、多级库存联动优化 |
| 路径规划 | 多约束VRP路径优化，支持时间窗口/载重/多仓库/碳排放成本 |
| 供应商评估 | 多维供应商评分卡（价格/质量/交期/ESG），支持AHP层次分析法 |
| What-If仿真 | 供应链中断、需求波动、成本变化等场景下的影响分析与最优应对策略 |
触发场景
- 制造业企业库存周转优化
- 物流企业配送路线规划
- 采购部门供应商筛选与谈判
- 供应链中断应急方案
执行流程
- 数据接入：引导上传历史销售、库存清单、物流网络数据
- 建模阶段：构建多级供应链网络模型，定义约束条件
- 分析与优化：运行优化算法，输出最优库存策略、补货计划、配送路线
- 仿真验证：对关键风险场景进行蒙特卡洛仿真，验证方案鲁棒性
- 方案输出：生成可执行报告，含KPI对比和ROI预估
输出格式
- 需求预测报告（含置信区间图表数据）
- 库存优化方案（安全库存表/补货计划表）
- 路径优化方案（路线图数据+KPI对比表）
- 供应商评分卡（雷达图数据+排名表）
- 仿真分析报告（场景对比+决策建议）
注意事项
- 预测准确度受历史数据质量和长度影响，建议至少12个月数据
- 优化结果需结合实际业务约束验证，不可直接套用
- 供应链网络模型复杂度影响计算时间
- 建议定期更新模型参数以适应市场变化
Usage Guidance
Before installing or using it, treat sales, inventory, logistics, supplier, pricing, and customer-linked datasets as sensitive. Share only the minimum fields needed, redact personal data and confidential supplier terms where possible, and verify any optimization recommendations before applying them operationally.
Capability Assessment
Purpose & Capability
The stated capabilities, including demand forecasting, inventory optimization, routing, supplier evaluation, and simulations, match the skill name and description.
Instruction Scope
The workflow asks users to provide sales, inventory, and logistics data, which is purpose-aligned but would benefit from clearer data-minimization and confidentiality guidance.
Install Mechanism
The package contains a single SKILL.md file with no scripts, binaries, install hooks, or hidden execution mechanisms.
Credentials
Declared requirements for data analysis and simulation are proportionate to supply-chain optimization tasks.
Persistence & Privilege
No persistence, credential use, background agents, privilege escalation, destructive actions, or external exfiltration behavior is present in the artifacts.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install supply-chain-optimizer - After installation, invoke the skill by name or use
/supply-chain-optimizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Supply Chain Optimizer skill.
- 智能供应链优化与物流管理，覆盖需求预测、库存优化、路径规划、供应商评估四大模块
- 支持多级供应链网络建模及What-If场景仿真
- 适用于制造业库存管理、物流路由优化、供应商决策等多种场景
- 提供数据驱动的方案输出，包括预测报告、补货计划、最优路径、供应商评分与场景仿真分析
Metadata
Frequently Asked Questions
What is Supply Chain Optimizer?
智能供应链优化与物流管理技能。覆盖需求预测、库存优化、路径规划、供应商评估四大模块，支持多级供应链网络建模与What-If场景仿真。适用场景：制造业库存管理、物流路由优化、供应商选择决策。 It is an AI Agent Skill for Claude Code / OpenClaw, with 43 downloads so far.
How do I install Supply Chain Optimizer?
Run "/install supply-chain-optimizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Supply Chain Optimizer free?
Yes, Supply Chain Optimizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Supply Chain Optimizer support?
Supply Chain Optimizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Supply Chain Optimizer?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.
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