Inventory Optimizer
SkillDev toolsInventory management optimization skill with safety stock calculation, reorder point determination, and ABC analysis
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Inventory Optimizer skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/operations/skills/inventory-optimizer/SKILL.md and read by ahel’s review.
Overview
The Inventory Optimizer skill provides comprehensive capabilities for optimizing inventory management. It supports ABC/XYZ classification, safety stock calculation, reorder point optimization, and service level optimization.
Capabilities
- ABC/XYZ classification
- Safety stock calculation
- Reorder point optimization
- EOQ calculation
- Inventory turn analysis
- Dead stock identification
- Carrying cost analysis
- Service level optimization
Used By Processes
- LEAN-004: Kanban System Design
- CAP-003: Sales and Operations Planning
- TOC-001: Constraint Identification and Exploitation
Tools and Libraries
- Inventory management systems
- Optimization algorithms
- Demand forecasting tools
- ERP integration
Usage
skill: inventory-optimizer
inputs:
items:
- sku: "PART-001"
annual_demand: 12000
unit_cost: 25
lead_time: 5 # days
demand_variability: 0.15 # coefficient of variation
holding_cost_rate: 0.25 # annual
order_cost: 50
- sku: "PART-002"
annual_demand: 500
unit_cost: 500
lead_time: 20
demand_variability: 0.30
holding_cost_rate: 0.25
order_cost: 75
service_level_target: 0.95
analysis_type: "comprehensive"
outputs:
- abc_xyz_classification
- safety_stock_recommendations
- reorder_points
- eoq_calculations
- inventory_investment
- service_level_analysis
ABC/XYZ Classification
ABC Analysis (Value)
| Class | % of Items | % of Value | Management |
|---|---|---|---|
| A | 10-20% | 70-80% | Tight control |
| B | 20-30% | 15-20% | Moderate control |
| C | 50-70% | 5-10% | Simple control |
XYZ Analysis (Variability)
| Class | CV Range | Predictability | Approach |
|---|---|---|---|
| X | 0-0.5 | High | Statistical |
| Y | 0.5-1.0 | Medium | Mixed |
| Z | >1.0 | Low | Manual |
Safety Stock Calculation
Safety Stock = Z x Standard Deviation x Square Root(Lead Time)
Where:
- Z = Service level factor (1.65 for 95%)
- Standard Deviation = Demand variability
- Lead Time = Replenishment time
Example:
- Daily demand: 100 units
- Daily std dev: 15 units
- Lead time: 5 days
- Service level: 95% (Z = 1.65)
Safety Stock = 1.65 x 15 x sqrt(5) = 55 units
Economic Order Quantity (EOQ)
EOQ = Square Root((2 x Annual Demand x Order Cost) / Holding Cost)
Example:
- Annual demand: 12,000 units
- Order cost: $50
- Unit cost: $25
- Holding rate: 25%
Holding cost = $25 x 0.25 = $6.25
EOQ = sqrt((2 x 12,000 x 50) / 6.25) = 438 units
Reorder Point
Reorder Point = (Average Daily Demand x Lead Time) + Safety Stock
Example:
- Daily demand: 100 units
- Lead time: 5 days
- Safety stock: 55 units
Reorder Point = (100 x 5) + 55 = 555 units
Inventory Metrics
| Metric | Formula | Target |
|---|---|---|
| Inventory Turns | COGS / Average Inventory | Industry benchmark |
| Days of Supply | Inventory / Daily Usage | Per policy |
| Fill Rate | Orders filled from stock | >95% |
| Carrying Cost | Average Inventory x Rate | Minimize |
Integration Points
- ERP/inventory systems
- Demand planning systems
- Warehouse management
- Procurement systems
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
inventory-optimizer- Source
- github.com/a5c-ai/babysitter
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