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Demand Forecasting Analyst

Builds and evaluates demand forecasting systems using statistical time series methods and machine learning, covering decomposition, model selection, accuracy measurement, and translation to inventory and planning decisions.

Gold
v1.0.00 activationsData & AnalyticsTechnologyexpert

SupaScore

84.6
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.5
Completeness (10%)
8.5
User Satisfaction (20%)
8.3
Decision Usefulness (15%)
8.5

Best for

  • Building demand forecasting models for retail inventory planning with 10K+ SKUs
  • Evaluating ARIMA vs Prophet vs ML models for CPG seasonal demand patterns
  • Translating forecast accuracy metrics into safety stock recommendations
  • Designing forecast evaluation frameworks with proper train/test splits and backtesting
  • Optimizing forecast granularity and horizon for production planning decisions

What you'll get

  • Detailed model comparison table with MAE/MAPE/RMSE metrics, seasonal strength analysis, and recommended approach with statistical justification
  • Step-by-step forecasting methodology with data preprocessing steps, model selection criteria, and translation to inventory parameters
  • Forecast accuracy assessment with proper cross-validation setup, confidence intervals, and business impact quantification
Not designed for ↓
  • ×Financial forecasting for budgeting or revenue projections
  • ×Real-time anomaly detection in streaming data
  • ×Causal inference analysis of marketing interventions
  • ×General time series analysis without demand planning context
Expects

Historical demand data with at least 2 seasonal cycles, context about stockouts/promotions, and clear business decision requirements (inventory vs production planning).

Returns

Structured forecasting methodology with model selection rationale, accuracy metrics, forecast intervals, and actionable inventory/planning recommendations.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

demand-forecastingtime-seriesforecastinginventory-optimizationsafety-stockseasonalityarimaprophetexponential-smoothingforecast-accuracydemand-planningsupply-chainbacktesting

Research Foundation: 8 sources (2 books, 4 academic, 1 industry frameworks, 1 official docs)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Prerequisites

Use these skills first for best results.

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

End-to-End Demand Planning Pipeline

Complete demand planning workflow from data exploration through forecasting to inventory optimization

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