Advanced Sales ForecastingMade Simple

Generate accurate sales forecasts using multiple time series models. Compare ARIMA, ETS, Moving Average, and more to find the best model for your data.

How It Works

Three simple steps to get accurate forecasts

Upload Your Data

Upload your sales data and optional files for availability, events, and overrides.

Run Multiple Models

Our system runs ARIMA, ETS, Moving Average, Holt, and NA-CL models in parallel.

Get Best Forecasts

Intelligent selection picks the best model per SKU/Channel based on RMSE or MAPE.

Why This Beats Spreadsheets

Get enterprise-grade forecasting without the complexity

Key Features

  • Multiple time series models (ARIMA, ETS, Moving Average, Holt, NA-CL)
  • Automatic model selection based on RMSE or MAPE
  • Rolling origins competition for robust forecasts
  • Support for availability constraints and event lifts
  • Manual overrides for specific SKU/Channel combinations
  • Export results as CSV or JSON

Supported Models

Choose from multiple proven forecasting models

ARIMA

AutoRegressive Integrated Moving Average

ETS

Exponential Smoothing

Moving Average

Simple moving average

Holt

Holt's linear trend method

NA-CL

Naive with calendar effects

Outputs Explained

Understand what you get from each forecast

Projections

Forecasted sales values for each SKU/Channel/Period combination

Metrics

Performance metrics (RMSE, MAPE) for each model per SKU/Channel

Intelligent Selection

The best model selected for each SKU/Channel based on your chosen metric