Weekly Demand Forecast LSTM

This neural network diagram shows a small sequence model for weekly demand forecasting. The input block collects twelve weeks of sales history alongside price and promotion context. An LSTM layer processes the ordered observations so the forecast can reflect recent trends and repeating patterns. A dense layer transforms the LSTM representation before the final block estimates next-week units. The diagram gives planners and engineers a shared view of the model boundary: what history enters, where sequence learning happens, and what the model returns. It does not imply that the forecast is a purchase recommendation; inventory constraints, lead times, and service targets belong in a planning layer around the model.