Babysitter safety-stock-calculator

Dynamic safety stock and reorder point optimization skill based on demand variability, lead times, and service level targets

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/logistics/skills/safety-stock-calculator" ~/.claude/skills/a5c-ai-babysitter-safety-stock-calculator && rm -rf "$T"

manifest: library/specializations/domains/business/logistics/skills/safety-stock-calculator/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