ReddRadar
Agent skill
safety-stock-calculator
Dynamic safety stock and reorder point optimization skill based on demand variability, lead times, and service level targets
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/logistics/skills/safety-stock-calculator
Metadata
Additional technical details for this skill
- domain
- business
- category
- inventory
- priority
- high
- specialization
- logistics
SKILL.md
Safety Stock Calculator
Overview
The Safety Stock Calculator is a dynamic skill that optimizes safety stock levels and reorder points based on demand variability, lead time uncertainty, and service level targets. It uses statistical methods and optimization algorithms to balance inventory investment against stockout risk.
Capabilities
- Service Level to Safety Stock Conversion: Calculate required safety stock to achieve target service levels using statistical methods
- Lead Time Variability Modeling: Incorporate lead time uncertainty into safety stock calculations
- Demand Variability Analysis: Analyze demand patterns and variability to determine appropriate buffer stock
- Reorder Point Calculation: Calculate optimal reorder points combining expected demand and safety stock
- Order Quantity Optimization (EOQ): Determine economic order quantities balancing ordering and holding costs
- Min/Max Parameter Setting: Set minimum and maximum inventory parameters for replenishment systems
- Multi-Echelon Inventory Optimization: Optimize inventory across multiple distribution tiers
Tools and Libraries
- Inventory Optimization Libraries
- scipy (statistical functions)
- pyomo (optimization)
- NumPy/Pandas
Used By Processes
- Reorder Point Calculation
- Demand Forecasting
- ABC-XYZ Analysis
Usage
skill: safety-stock-calculator
inputs:
item:
sku: "SKU001"
unit_cost: 50.00
holding_cost_percent: 25
ordering_cost: 75.00
demand:
average_daily: 100
standard_deviation: 15
forecast_error_percent: 12
lead_time:
average_days: 5
standard_deviation_days: 1
service_level:
target_percent: 98.0
stockout_cost: 25.00
outputs:
calculations:
safety_stock_units: 87
reorder_point: 587
economic_order_quantity: 548
min_level: 587
max_level: 1135
inventory_parameters:
average_inventory: 361
annual_holding_cost: 4512.50
annual_ordering_cost: 4987.50
total_annual_cost: 9500.00
service_analysis:
expected_service_level: 98.2
expected_stockouts_per_year: 0.8
expected_stockout_quantity: 42
recommendations:
review_frequency: "daily"
next_review_date: "2026-01-26"
suggested_order_quantity: 548
Integration Points
- Enterprise Resource Planning (ERP) Systems
- Inventory Management Systems
- Demand Planning Systems
- Procurement Systems
- Warehouse Management Systems (WMS)
Performance Metrics
- Service level achievement
- Inventory turns
- Stockout frequency
- Excess inventory value
- Safety stock accuracy
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