Demand Forecast Explanation
CommunityTranslate forecasts into business narratives.
Data & Analytics#supply chain#S&OP#demand forecasting#forecast explanation#accuracy metrics#error attribution
Authorwassemgtk
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill bridges the gap between complex statistical demand forecasts and the practical needs of demand planners, making forecast drivers and deviations understandable and actionable.
Core Features & Use Cases
- Forecast Decomposition: Breaks down forecasts into baseline, trend, seasonality, promotions, price, and external factors.
- Accuracy & Bias Analysis: Computes key metrics like MAPE, Bias, and Tracking Signal.
- Error Attribution: Identifies root causes for forecast deviations (e.g., promotions, distribution issues, external shocks).
- Narrative Generation: Creates clear, business-friendly explanations for forecast variances.
- Use Case: A demand planner can use this Skill to understand why a specific product's forecast changed significantly, enabling them to make informed adjustments and communicate the rationale to stakeholders.
Quick Start
Explain the forecast drivers for SKU 'XYZ-123' at location 'Store-A' for the period '2024-W10 to 2024-W14'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Demand Forecast Explanation Download link: https://github.com/wassemgtk/skills-testing/archive/main.zip#demand-forecast-explanation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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