inventory-optimizer

Calculate safety stock, reorder points, and EOQ for multi-warehouse inventory.

1|1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/huifer/Shopilot --skill inventory-optimizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inventory-optimizer
Source: https://github.com/huifer/Shopilot/tree/main/skills/inventory-optimizer
Command: npx skills add https://github.com/huifer/Shopilot --skill inventory-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps retailers and operations teams optimize inventory by calculating safety stock, reorder points, and turnover analyses to balance stock levels, service levels, and carrying costs.

Core Features & Use Cases

  • Safety stock calculations using simple and standard deviation methods
  • Reorder point settings with service-level targets
  • Economic order quantity (EOQ) and replenishment planning
  • Multi-warehouse distribution and inventory balancing
  • Slow-moving and obsolete-stock identification and actions
  • Data-driven forecasting inputs for demand planning

Quick Start

Calculate safety stock and reorder points for your top SKU using recent sales and lead times.

Frequently Asked Questions about inventory-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate safety stock for high-velocity SKUs with variable demand?

Safety stock calculation for variable demand uses standard deviation methods based on historical sales data and lead times to determine optimal buffer levels. This approach handles high-velocity items by applying statistical variance to demand forecasting inputs.

What's the best way to set reorder points across multiple warehouse locations?

Setting reorder points across multiple warehouses requires balancing inventory distribution using service-level targets and lead time data. Multi-warehouse distribution logic calculates location-specific reorder triggers based on demand velocity and stock turnover rates.

Can I use economic order quantity calculations for seasonal demand patterns?

Economic order quantity (EOQ) calculations can accommodate seasonal demand by integrating data-driven forecasting inputs that capture demand variability. The EOQ formula adjusts order sizes based on carrying costs and replenishment planning parameters.

How do I identify slow-moving and obsolete stock across my inventory?

Identifying slow-moving and obsolete stock requires turnover analysis that tracks SKU velocity and aging inventory metrics. This process flags low-velocity items and recommends actions to reduce carrying costs and free up warehouse capacity.

Does this inventory optimization approach work for retailers with diverse product catalogs?

This inventory optimization approach works for retailers and warehouses managing multiple SKUs with varying demand patterns. It handles high-velocity items, slow movers, and seasonal products using deterministic methods tailored to service-level targets.