Price promotion optimization model for multiperiod planning: a case study of beauty category products sold in a convenience store chain
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DOI: 10.1057/s41272-023-00438-6
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- Peter R. Winters, 1960. "Forecasting Sales by Exponentially Weighted Moving Averages," Management Science, INFORMS, vol. 6(3), pages 324-342, April.
- Harald J. van Heerde & Peter S. H. Leeflang & Dick R. Wittink, 2004. "Decomposing the Sales Promotion Bump with Store Data," Marketing Science, INFORMS, vol. 23(3), pages 317-334, December.
- Maxime C. Cohen & Ngai-Hang Zachary Leung & Kiran Panchamgam & Georgia Perakis & Anthony Smith, 2017. "The Impact of Linear Optimization on Promotion Planning," Operations Research, INFORMS, vol. 65(2), pages 446-468, April.
- Hübner, Alexander & Kuhn, Heinrich & Kühn, Sandro, 2016. "An efficient algorithm for capacitated assortment planning with stochastic demand and substitution," European Journal of Operational Research, Elsevier, vol. 250(2), pages 505-520.
- Baohong Sun, 2005. "Promotion Effect on Endogenous Consumption," Marketing Science, INFORMS, vol. 24(3), pages 430-443, July.
- Ma, Shaohui & Fildes, Robert, 2017. "A retail store SKU promotions optimization model for category multi-period profit maximization," European Journal of Operational Research, Elsevier, vol. 260(2), pages 680-692.
- Gerard J. Tellis & Fred S. Zufryden, 1995. "Tackling the Retailer Decision Maze: Which Brands to Discount, How Much, When and Why?," Marketing Science, INFORMS, vol. 14(3), pages 271-299.
- Ma, Shaohui & Fildes, Robert & Huang, Tao, 2016. "Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information," European Journal of Operational Research, Elsevier, vol. 249(1), pages 245-257.
- Pantano, Eleonora & Pizzi, Gabriele & Scarpi, Daniele & Dennis, Charles, 2020. "Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak," Journal of Business Research, Elsevier, vol. 116(C), pages 209-213.
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Keywords
Promotion effectiveness; Autoregressive distributed lag model; Retail pricing strategy; Promotion optimization;All these keywords.
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