What problem does it solve?
Inventory planners often rank SKUs by value alone (ABC) and ignore demand variability, leading to wasted forecasting effort on erratic items and over-buffering of stable ones. This Skill combines ABC value analysis with XYZ variability analysis to produce a 9-box segmentation where every cell carries a concrete planning policy.
Core Features & Use Cases
- ABC value classification: Ranks SKUs by annual consumption value with cumulative 80/15/5 thresholds, reporting the actual concentration found rather than assumed 20/80 splits.
- XYZ variability classification: Computes coefficient of variation per SKU with configurable thresholds, and forces intermittent-demand SKUs into Z regardless of CV arithmetic.
- 9-box policy matrix: Produces SKU counts and value share per cell, attaches a planning policy per cell (buffering, forecasting, make-to-order, rationalization), and names the planner-attention reallocation.
- Use Case: A supply chain analyst with 12 months of SKU demand history and unit prices asks which items deserve forecasting effort; the Skill returns the 9-box, per-cell policies, and a C-Z rationalization shortlist.
Quick Start
Analyze my SKU demand history and unit prices with ABC-XYZ segmentation and give me the 9-box with a planning policy per cell.
