Demand Forecasting

This node can be used to help you accurately predict future demand for your products. By analyzing historical demand data and considering external factors, the app generates forecasts that support better planning and decision-making in your supply chain operations.
For this node three input table is needed. The first one contains the information about historical demand data. The second one contains the information about future demand data. The third table contains the information of te sku parameters.

To use this node you need an API Key from Log-hub Supply Chain Apps. This key you can generate with an Supply Chain Apps Pro Account. More information you can find on www.log-hub.com.

Log-hub video for API key generation: https://www.youtube.com/watch?v=FZgOn1IZ1Bk&t=255s

Input ports

1. Type: Table
   Historical Demand Data
   The Historical Demand Data table contains information about histprical demand of product. Columns Future Impact Factor 1,2, 3 and 4 are possible impact factors and they have same name in all tables. Required felds are the SKU, Date and Demand. Please map the fields accordingly in the configuration.
2. Type: Table
   Future Impact Factors
   The Future Impact Factors table contains information about future impacts on product demand. Columns Future Impact Factor 1,2, 3 and 4 are possible impact factors and they have same name in all tables. Please map the fields accordingly in the configuration.
3. Type: Table
   Port 3
   The SKU Parameters table contains information about sku parameters that are used in prevoius two tables. Columns Future Impact Factor 1,2, 3 and 4 are possible impact factors and they have same name in all tables. Required felds are the SKU and Forecast periods. Please map the fields accordingly in the configuration.

Output ports

1. Type: Table
   Prediction
   The Prediction table contains prediction about product demand. Lower and upper bound describe the approximate demand and Demand is closest demand prediction.