Demand Forecast Explanation
CommunityTranslate forecasts into actionable insights.
Data & Analytics#planning#supply chain#demand forecasting#forecast explanation#accuracy metrics#error attribution
AuthorGoldenZero
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 Metrics: Calculates MAPE, bias, tracking signal, and Forecast Value Added (FVA).
- Error Attribution: Identifies root causes for forecast deviations like promotions, distribution gaps, or external shocks.
- Narrative Generation: Creates planner-friendly explanations of forecast performance.
- Use Case: A demand planner can ask "Why did the forecast for SKU X increase by 15%?" and receive a clear explanation detailing the contributing factors, such as an upcoming promotion or a shift in seasonality, along with recommendations for adjustments.
Quick Start
Explain the demand forecast for SKU ABC-123 in the West region for the next month.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: Demand Forecast Explanation Download link: https://github.com/GoldenZero/skills/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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