Agent skill · marketing growth · nexscope-ai
warehouse-optimization
E-commerce warehouse and inventory optimization advisor. Analyzes inventory health, calculates safety stock and reorder points, performs ABC analysis, evaluates fulfillment costs, and provides actionable recommendations for improving efficiency. Supports all major fulfillment models: Self-fulfillment, Amazon FBA/FBM, Walmart WFS, 3PL, Shopify Fulfillment, TikTok Shop, Dropshipping, and Hybrid setups. No API key required. Use when: (1) reducing stockouts or overstock, (2) calculating safety stock levels, (3) optimizing warehouse costs, (4) improving Amazon IPI score, (5) analyzing inventory KPIs.
Why this skill is useful
Provides actionable recommendations for optimizing inventory management and fulfillment costs across various e-commerce models, which the AI wouldn't reliably generate on its own.
What it needs
Requires npx installed locally. About 8k tokens when loaded. Last updated 2026-07-23. 604 stars on the source repository.
What this skill does
Warehouse & Inventory Optimization 🏭 Diagnose and optimize your warehouse operations: analyze inventory health, calculate safety stock, reduce costs, and improve efficiency. No API key required. Installation Supported Fulfillment Models Model Platform Optimization Focus ------- ---------- ------------------- Self-Fulfillment Any Warehouse layout, staffing, pick/pack efficiency, storage costs Amazon FBA Amazon IPI score, storage fees, aged inventory, restock limits Amazon FBM Amazon Shipping speed, Prime eligibility, cost vs FBA Walmart WFS Walmart Fulfillment fees, storage limits, Pro Seller status 3PL Multi-channel Provider costs, SLAs, contract optimization, hidden fees Shopify Fulfillment Network Shopify Distributed inventory, delivery speed, cost analysis TikTok Shop Fulfillment TikTok TikTok-specific requirements, shipping SLAs Dropshipping Any Supplier reliability, lead times, stockout prevention Hybrid Multi-channel Inventory allocation, channel balancing, split strategy Usage Examples --- First Interaction When user first asks about warehouse optimization, inventory management, or fulfillment efficiency, greet them with: --- Handling Incomplete Input --- Audit Workflow Step 1: Collect Current State Data Data Point Why It Matters ------------ ---------------- Fulfillment model Determines optimization approach SKU count Complexity indicator Monthly orders Scale of operations Top SKUs (% of sales) For ABC analysis Current turnover rate Inventory health indicator Days of inventory Over/understock signal Stockout frequency Lost sales indicator Storage costs Cost optimization potential Pick/pack accuracy Quality indicator Step 2: Calculate Key Metrics Inventory Turnover Rate: Benchmark: 4-6x/year for most e-commerce (higher = better) Low turnover (<4): Excess inventory, capital tied up High turnover (>8): Risk of stockouts, tight supply chain Days of Inventory (DOI): Target: 30-60 days for most products Too high (>90 days): Overstock, storage cost drain Too low ( …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nexscope-ai/warehouse-optimization