Demand forecasting is the science of predicting the future demand for a product or service. This prediction is based on past behaviour as well as current trends.

Demand forecasting provides an estimate of the amount of goods and services that will be purchased in the foreseeable future. Demand forecasting facilitates decision-making and strategic planning.

ARIMA is a time-series forecasting tool that accommodates seasonality, varying trends and multiple parameters.

Time-series data with multiple seasonal effects are difficult to model and require the use of specialised algorithms. TBATS is a time-series forecasting method that accounts for multiple seasonalities.

Demand forecasting is essential for estimating how customer's demand for products and services vary in the foreseeable future

The Demand Planning main purpose is to identify "how Materials are moving (Fast, Slow & Non-Moving)"