Control-oriented modeling of SKU-level demand in retail food market
Abstract
In food market, modeling the dynamics of Stock-Keeping Unit (SKU) requests is of fundamental importance, not only to understand the market but also for optimization and control purposes. In fact, standing on model-based predictions of future demand, an efficient planning of the promotional calendar can be devised. Moreover, better inventory management can be achieved, by reducing losses due to expired aliments remained unsold and improving distribution operations. In this work, data-driven control-oriented modeling of such a demand is discussed and a novel switching dynamical strategy is proposed. When applied to experimental data from a real food company, the above strategy is shown to accurately predict future sales under fixed promotion events and outperform the state-of-the-art modeling methodsecause the distribution of the disturbances which affect the system is usually not gaussian. [Paper, Code]
Reference
M. Mazzoleni and S. Formentin and F. Previdi and S.M. Savaresi, "Control-oriented modeling of SKU-level demand in retail food market", 20th IFAC World Congress , Toulouse, France, 2017, doi: 10.1016/j.ifacol.2017.08.1951 , ISSN: 2405-8963, pp. 13003-13008.
Bibtex
@article{MAZZOLENI201713003,
title = "Control-oriented modeling of SKU-level demand in retail food market",
journal = "20th IFAC World Congress",
volume = "50",
number = "1",
pages = "13003 - 13008",
year = "2017",
issn = "2405-8963",
doi = "https://doi.org/10.1016/j.ifacol.2017.08.1951",
author = "M. Mazzoleni and S. Formentin and F. Previdi and S.M. Savaresi",
}