Provides a Neural Network solution to the Kaggle Store Item Demand Forecasting Challenge. Input contains 5 years of store-item sales data. Deep Learning models use both Keras Layer Nodes and DL Python Nodes. Output predicts the daily sales of 50 different items over the next two years. A comprehensive description of this workflow with step-by-step instructions can be found at the Scientific Strategy website: https://scientificstrategy.com/kn-302/ SCIENTIFIC STRATEGY: [KNIME Nodes] KN-302 Sales Demand Forecasting Neural Networks https://scientificstrategy.com/kn-302/ DATA SOURCE: Kaggle: Store Item Demand Forecasting Challenge https://www.kaggle.com/c/demand-forecasting-kernels-only