abc-xyz-classifier

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Multi-dimensional inventory classification skill combining value (ABC) and demand variability (XYZ) analysis for differentiated policies

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# ABC-XYZ Classifier ## Overview The ABC-XYZ Classifier is a multi-dimensional inventory classification skill that combines value-based (ABC) and demand variability (XYZ) analysis to enable differentiated inventory policies. It automates Pareto analysis and demand pattern classification to recommend optimal stocking strategies, service levels, and review frequencies. ## Capabilities - **Pareto Analysis Automation**: Automatically classify inventory into A, B, C categories based on value contribution using Pareto principles - **Demand Pattern Classification**: Analyze demand variability to classify items as X (stable), Y (variable), or Z (erratic) - **Inventory Policy Recommendation**: Recommend appropriate inventory policies based on combined ABC-XYZ classification - **Service Level Differentiation**: Suggest differentiated service level targets based on item classification and business importance - **Review Frequency Optimization**: Determine optimal inventory review frequencies for each classification - **Stocking Strategy Suggestions**: Recommend make-to-stock, make-to-order, or hybrid strategies based on classification - **Cross-Docking Candidacy Identification**: Identify items suitable for cross-docking based on velocity and predictability ## Tools and Libraries - Statistical Analysis Libraries (pandas, numpy) - Inventory Optimization Models - Data Visualization Libraries - Classification Algorithms ## Used By Processes - ABC-XYZ Analysis - Reorder Point Calcula...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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