How I Decoded Why Most Forecasting Models Fail — The Missing Intelligence Layer | SCM Decoded Ep.04

**Why Most Forecasting Models Fail — The Missing Intelligence Layer | SCM Decoded Ep.04** Most forecasting models don’t fail because they are statistically weak. They fail because they are applied to the wrong problem. In this episode of *SCM Decoded*, we break down the **Intelligence Layer** most organisations skip — **ABC-XYZ segmentation** — and why reversing one simple sequence is quietly costing companies millions. **Choose model first → apply to everything → systematic error.** **Segment first → match method → systematic improvement.** This is not a modelling issue. It is a **decision architecture problem**. --- ### 🧠 What You’ll Learn * Why “one model fits all” is the most expensive assumption in planning * The **ABC-XYZ framework**: 2 dimensions, 9 segments, 1 decision system * How high-value unpredictable SKUs (AZ) should be managed differently from stable revenue drivers (AX) * Why some SKUs should **not be forecasted at all (CZ)** * The hidden cost of tail inventory — and why most companies never see it * How AI planning tools depend on clean segmentation (and amplify bad inputs) --- ### ⚠️ The Core Insight Your planning system may be forecasting every SKU. That does not mean you are planning correctly. The real question is: **Should this SKU be forecasted — and with what level of attention?** --- ### 🏭 Real-World Perspective From pharma to fashion to FMCG, the failure pattern is identical: * Misapplied effort * Misallocated inventory * Invisible carrying costs The framework exists. The discipline to apply it does not. --- ### ⏱️ One Action This Week Run your ABC-XYZ segmentation: 1. Classify SKUs by revenue (ABC) 2. Measure demand variability (XYZ) 3. Identify your **AZ and CZ exposure** ⏱ Takes 2 hours. 📊 Changes how you plan permanently. --- ### 📌 Series Context * Ep.03 → *Why Most Forecasting Models Fail* * Ep.04 → *The Missing Intelligence Layer (this episode)* * Next → *Moving Average & The N-Value* --- ### ⚖️ Disclaimer This content is created for **educational and informational purposes only**. It reflects general industry frameworks and professional experience, not organisation-specific advice. All examples, numbers, and scenarios are **illustrative** and may not apply universally. Viewers should evaluate concepts in the context of their own business environment before making operational or financial decisions. --- ### 🔔 Subscribe New episode every week. *SCM Decoded — The Global Supply Chain Community.* --- #SupplyChain #DemandPlanning #Forecasting #InventoryManagement #SCMDecoded #ABCXYZ #OperationsStrategy #AIinSupplyChain