Our forecasting system is based on state-of-the-art deep learning for time series data. Using an AutoML solution, the forecasting models are automatically retrained when their error reach a configurable threshold. Research has been done to correlate external factors, such as weather conditions and promotional activities, with future demand. The system has been evaluated by actual retail experts, who claim that it is essential for purchase order automation.