Forecasting Methods & Evaluation Library

A practical catalog of forecasting algorithms, error metrics, backtesting patterns, and model-selection guidance to move forecasts from experiments into repeatable operations.

Workbook

Forecasting & Planning Workbook

Interactive workbook with step-by-step problem framing, a data-preparation checklist, baseline forecast choices, seasonal decomposition cues, configurable backtesting plan, selectable error metrics (including CRPS for probabilistic forecasts), and a scenario-planning worksheet that links forecasts to concrete operational decisions (inventory, staffing, budgets). Responses are saved so teams can iterate, compare runs, and track follow-through.

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Workflow

Forecasting & Planning — Validation & Backtest Workflow

An operational, step-by-step workflow to validate forecasting models, design and run backtests, select appropriate error metrics and horizons, generate probabilistic scenarios, and convert forecast outputs into S&OP, staffing, and inventory plans. Each step lists ownership, required artifacts, acceptance criteria, and common pitfalls so forecasts become reliable inputs for decisions.

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