Workbook

Inventory Risk Heatmap & Action Planner (Interactive Workbook)

An interactive workbook that guides SKU-level risk scoring by lead time, criticality, demand variability, and supplier reliability; helps you place SKUs into an ABC‑XYZ intersection heatmap; recommends buffer sizing guidance; and captures prioritized pilot actions, owners, and governance details so teams can reduce carry without increasing stockout risk.

Interactive Tool

Inventory Risk Heatmap & Action Planner

Purpose

This interactive workbook helps teams classify inventory risk, size buffers sensibly, and produce a prioritized action plan to reduce carrying costs while protecting on‑time delivery. Use it to evaluate individual SKUs (or paste summarized SKU groups), identify ABC‑XYZ heatmap priorities, and capture actionable pilots with owners and due dates.

How to use this form: evaluate one SKU at a time or paste summarised rows exported from your system. The form guides your judgment with practical guidance notes and captures structured outputs for reporting and pilot tracking.

Unique identifier for the item (SKU, part number, or product code).
Short description to help teams recognize the SKU.
Typical lead time from order to receipt. Use median if lead time distribution is skewed.
Useful for converting days into units when sizing buffers.
How quickly a shortage would disrupt production or customers. 5 = stops the line or critical customer impact.
Consider historical variation (coefficient of variation) and recent trend shifts.
Based on your delivery performance data or supplier scorecards.
Common ABC segmentation (annual spend, criticality, or strategic importance).
Use historical demand variability: X (predictable), Y (some variability), Z (highly unpredictable).
Physical or system balance at time of assessment.
If you track safety stock in days, enter it here. Otherwise leave blank or enter 0.
Enter your recommended buffer in days. Use the guidance below to calculate: suggested_buffer_days = round(lead_time_days * risk_factor + variability_adjustment). Risk factor increases with criticality and low supplier reliability. This form records your recommendation rather than calculating it automatically.
Select the cell that best represents this SKU. Use ABC for spend/importance and XYZ for demand variability.
Optional numeric score for prioritization. Teams often map scales to 0–100; higher = greater risk. If you use a spreadsheet to compute scores, paste the result here.
Suggested priority based on heatmap and risk score.
Examples: supplier development, dual sourcing, forecast refinement, packaging change, kanban, reorder point adjustment, or target pilot for demand smoothing.
Person or role responsible for implementing the action.
YYYY-MM-DD or your preferred date format.
Estimate of expected inventory reduction for planning and pilot measurement.
Assess the probability that the proposed change could increase stockouts if it fails or uncovers hidden variability.
Select measures you'll use to reduce risk during the change.
Mark as yes for SKUs you want to include in an initial phased reduction pilot.
Describe the pilot population, success metrics (e.g., inventory reduction %, service level maintained), and duration (e.g., 8 weeks).
Has the pilot been captured in your governance playbook with roles, escalation, and review cadence?
Any other observations, constraints, or context (seasonality, promotions, recalls, planned obsolescence, upcoming supplier changes).
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