LOCAL PLANNING DIAGNOSTIC

Planning Health CheckBETA

Surface data-quality, forecast, inventory, and coverage issues worth planner attention.

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Upload a CSV or download the artificial example to test the diagnostic.

Methodology, assumptions and limitations
Overall = weighted mean of available component scores

Base weights: data quality 25%, demand 30%, inventory 30%, supply 15%. Weights are redistributed only across available components.

Supply Planning Lab diagnostic score

This is a transparent internal diagnostic, not an industry-standard metric. Files with different data coverage are not directly comparable.

  • Demand combines WMAPE and bias with visible heuristic thresholds.
  • Inventory measures normalized deviation from target DOS.
  • Supply measures whether DOS spans stated lead time.
  • Duplicate SKUs are excluded from analysis to avoid double counting.