2 citations · 3 across the 3 of their papers we have counts for
3 papers
Hierarchical Time Series Forecasting Via Latent Mean Encoding
Alessandro Salatiello, Stefan Birr, Manuel Kunz
Coherently forecasting the behaviour of a target variable across both coarse and fine temporal scales is crucial for profit-optimized decision-making in several business applicatio…
Causal Forecasting for Pricing
Douglas Schultz, Johannes Stephan, Julian Sieber +4
This paper proposes a novel method for demand forecasting in a pricing context. Here, modeling the causal relationship between price as an input variable to demand is crucial becau…
Deep Learning based Forecasting: a case study from the online fashion industry
Manuel Kunz, Stefan Birr, Mones Raslan +13
Demand forecasting in the online fashion industry is particularly amendable to global, data-driven forecasting models because of the industry's set of particular challenges. These…