Modelling Demand Forecasts
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.
Forecasting Product Demand
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.
Time-Series Forecasting using ARIMA model
ARIMA is a time-series forecasting tool that accommodates seasonality, varying trends and multiple parameters.
Time-Series Forecasting using TBATS model
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.
Estimating Future Customer Demand using Demand Forecasting
Demand forecasting is essential for estimating how customer's demand for products and services vary in the foreseeable future
How Compiere gives accuracy of revenue forecasts, align inventory levels with peaks
The Demand Planning main purpose is to identify "how Materials are moving (Fast, Slow & Non-Moving)"
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