Forecasting Methodology

How Our AI Forecasting Works

A comprehensive guide to understanding Finacast's forecasting models, mathematical foundations, and how to interpret results with confidence.

18+ Forecasting ModelsFull Mathematical FormulasDetailed Worked Examples

The Big Picture

Finacast analyzes your historical financial data and automatically selects the best forecasting method for each account. Think of it as having a team of expert forecasters who:

  1. 1Examine your data - Look for patterns like seasonality, growth trends, and volatility
  2. 2Test multiple approaches - Try 18+ different forecasting methods on your data
  3. 3Pick the winner - Select the method that performs best for your specific data
  4. 4Generate forecasts - Produce predictions with confidence ranges
  5. 5Maintain consistency - Ensure your P&L relationships stay realistic (e.g., COGS scales with Revenue)

What Makes This Different from Spreadsheet Forecasting?

Traditional SpreadsheetFinacast
One method for everything (usually "last year + X%")Optimal method selected for each account
Manual pattern identificationAutomatic seasonality and trend detection
Fixed assumptionsData-driven, self-adjusting
Single point estimateRange of outcomes with probabilities
Easy to break P&L relationshipsMaintains Gross Margin consistency

Quick Reference

When to Use Which Model

  • â€Ē Flat, stable → Moving Average or Naive
  • â€Ē Steady growth → Linear Trend (OLS)
  • â€Ē Seasonal pattern → Holt-Winters or ETS
  • â€Ē Complex seasonal → SARIMA
  • â€Ē Many features → XGBoost or Random Forest
  • â€Ē Holidays matter → Prophet
  • â€Ē Lots of zeros → Croston or SBA

Key Formulas

  • â€Ē MAPE = Avg(|A-F|/|A|)
  • â€Ē CI = Åķ Âą 1.96×σ×√h
  • â€Ē ETS: Åķ = (L+hT)×S
  • â€Ē Croston: Åķ = Z/P
  • â€Ē OLS: Åķ = Îą + Îēt

Ready to see these forecasting models in action?

Quick Help

Forecast Workflow (4 Steps)

1. Data Overview - Select and preview file. 2. Learning Phase - AI analyzes patterns and recommends models. 3. Configure - Set parameters per account. 4. Results - View and export forecasts.

AI Features

AI Translation: Chat in your language (Arabic, Spanish, French, etc.) with automatic translation.
Deep Insights: AI-generated correlations and executive narratives.
Learning Phase: Automatic pattern detection and model recommendations.

Understanding Models

The AI tests 27 models per account during Learning Phase. Simple models (Naive, Moving Average) need 1-3 periods. Advanced models (ARIMA, Prophet) need 24+. Trust AI recommendations or override with domain knowledge.

Dashboard Tabs

  • Overview: KPIs & period breakdown
  • Executive Charts: High-level visualizations
  • Trends: Time-series analysis
  • Analytics: CFO insights & advanced ratios
  • Balance Sheet: Assets, liabilities, equity
  • Statistical: Headcount & volume metrics

Keyboard Shortcuts

  • Ctrl+U Upload Data
  • Ctrl+F Run Forecast
  • Ctrl+K Search Help
  • Esc Close Panels