Bayesian Intermittent Demand Forecasting for Large Inventories

A scalable and robust Bayesian method for demand forecasting in the context of a large e-commerce platform, paying special attention to intermittent and bursty target statistics, which outperforms competing approaches on fast and medium moving items.