Demand forecasting with high dimensional data: the case of SKU retail sales forecasting with intra- and inter-category promotional information
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Publication:320919
DOI10.1016/J.EJOR.2015.08.029zbMath1346.62165OpenAlexW2114062456MaRDI QIDQ320919
Tao Huang, Shaohui Ma, Robert Fildes
Publication date: 7 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://eprints.lancs.ac.uk/id/eprint/71746/1/SKU_sales_forecasting_EJOR_final_Working_Paper.pdf
Related Items (9)
Data Aggregation and Demand Prediction ⋮ Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness ⋮ Tactical sales forecasting using a very large set of macroeconomic indicators ⋮ Penalized averaging of parametric and non-parametric quantile forecasts ⋮ Sparse regression for large data sets with outliers ⋮ A retail store SKU promotions optimization model for category multi-period profit maximization ⋮ Retail sales forecasting with meta-learning ⋮ Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains ⋮ Forecast adjustments during post-promotional periods
Uses Software
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