Supply chain analysis, inventory optimization, logistics planning, vendor evaluation, and demand forecasting frameworks. Use when analyzing supply chains, optimizing inventory, or evaluating suppliers.
Quickly install supply-chain-optimizer AI skill to your development environment via command line
Source: travisjneuman/.claude.
Comprehensive frameworks for supply chain analysis, inventory management, logistics optimization, and vendor evaluation.
| Inventory Turns | COGS / Average Inventory | Industry-specific | | Days of Supply | Average Inventory / (COGS / 365) | Minimize | | Fill Rate | Orders Filled Complete / Total Orders | 97%+ | | Stockout Rate | Stockout Events / Total Demand Events | < 2% | | Carrying Cost % | Holding Costs / Average Inventory Value | 15-30% |
| Dead Stock % | No-movement Items / Total SKUs | < 5% | | Inventory Accuracy | Correct Counts / Total Counts | 99%+ | | GMROI | Gross Margin / Average Inventory Cost | > 2.0 |
Supply chain analysis, inventory optimization, logistics planning, vendor evaluation, and demand forecasting frameworks. Use when analyzing supply chains, optimizing inventory, or evaluating suppliers. Source: travisjneuman/.claude.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/travisjneuman/.claude --skill supply-chain-optimizerSupply chain analysis, inventory optimization, logistics planning, vendor evaluation, and demand forecasting frameworks. Use when analyzing supply chains, optimizing inventory, or evaluating suppliers. Source: travisjneuman/.claude.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/travisjneuman/.claude --skill supply-chain-optimizer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/travisjneuman/.claude