Multi-dimensional inventory classification skill combining value (ABC) and demand variability (XYZ) analysis for differentiated policies
Classifies inventory items by value and demand variability to recommend differentiated stocking policies.
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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.
skill: abc-xyz-classifier
inputs:
inventory_data:
- sku: "SKU001"
annual_value: 150000
monthly_demand: [100, 98, 102, 99, 101, 100, 98, 103, 99, 100, 101, 99]
unit_cost: 125
- sku: "SKU002"
annual_value: 45000
monthly_demand: [50, 75, 30, 60, 45, 80, 35, 55, 70, 40, 65, 50]
unit_cost: 75
classification_parameters:
abc_thresholds:
A: 80 # Top 80% of value
B: 95 # Next 15% of value
xyz_thresholds:
X: 20 # CV < 20%
Y: 50 # CV 20-50%
outputs:
classifications:
- sku: "SKU001"
abc_class: "A"
xyz_class: "X"
combined_class: "AX"
annual_value: 150000
value_rank: 1
cv_percent: 1.8
recommendation:
service_level: 99.5
review_frequency: "daily"
stocking_strategy: "make_to_stock"
safety_stock_method: "statistical"
- sku: "SKU002"
abc_class: "B"
xyz_class: "Y"
combined_class: "BY"
annual_value: 45000
value_rank: 15
cv_percent: 32.5
recommendation:
service_level: 97.0
review_frequency: "weekly"
stocking_strategy: "make_to_stock"
safety_stock_method: "buffer"
summary:
AX_count: 45
AY_count: 30
AZ_count: 25
BX_count: 150
BY_count: 200
BZ_count: 150
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