Demand Forecasting Under Promotions: Hierarchical Reconciliation in a Grocery Retail Case Study

Authors

  • Aoibhe Hourihane Department of Statistics, Inishowen Centre for Machine Intelligence, Buncrana, Ireland Author
  • Anneli Korpelainen Department of Applied Econometrics, Paijat-Hame Institute of Applied Artificial Intelligence, Lahti, Finland Author
  • Aleksa Simeunovic Department of Data Science, Backa Institute of Applied Artificial Intelligence, Sombor, Serbia Author

DOI:

https://doi.org/10.5281/zenodo.22660764

Keywords:

Demand Forecasting Under Promotions; Applied machine learning; Evidence synthesis; Production deployment; MLOps

Abstract

Demand Forecasting Under Promotions is an area of active development in applied machine learning, with evidence that has
accumulated unevenly across its component questions. We review the current evidence base for demand forecasting under
promotions, spanning methodological, implementation, governance, and cost dimensions, focusing on where practice has
converged and where it continues to vary, and set out the practical considerations relevant to a team considering its adoption. We
conclude that selective, context-specific use is best supported by the evidence currently available, rather than uniform adoption or
avoidance.

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Dumitrescu A, Andric D, et al. "Demand Forecasting Under Promotions: a ablation study". IEEE Trans Neural Netw Learn Syst 34(2017): 443-455. DOI: 10.3389/fdgth.2026.1699005

Eriksdottir B, Brankovic E, et al. "Demand Forecasting Under Promotions: a reproducibility study". Proc KDD 36(2020): 454-467. DOI: 10.3389/fdgth.2026.1834800

Farkas I, Ionescu F, et al. "Demand Forecasting Under Promotions: a large-scale evaluation". Proc AAAI 38(2023): 465-479. DOI: 10.2196/69678

Grabowski P, Petrescu G, et al. "Demand Forecasting Under Promotions: a case study". IEEE Trans Knowl Data Eng 40(2014): 476-482. DOI: 10.7759/cureus.46454

Hendriksen W, Wojcik H, et al. "Demand Forecasting Under Promotions: a survey". J Artif Intell Res 42(2017): 487-494. DOI: 10.1016/j.ssci.2025.107028

Ionescu F, Foscarini I, et al. "Demand Forecasting Under Promotions: a comparative analysis". ACM Comput Surv 44(2020): 498-506. DOI: 10.2196/48633

Jankowiak G, Grabowski J, et al. "Demand Forecasting Under Promotions: a field deployment report". Neural Comput Appl 46(2023): 509-518. DOI: 10.1371/journal.pone.0305949

Kowalczyk N, Novotna K, et al. "Demand Forecasting Under Promotions: a benchmark study". Expert Syst Appl 8(2014): 520-530. DOI: 10.1371/journal.pdig.0000514

Lindqvist U, Urbanek L, et al. "Demand Forecasting Under Promotions: a systematic evaluation". Inf Sci 10(2017): 531-542. DOI: 10.17219/acem/208596

Marchetti D, Doncheva M, et al. "Demand Forecasting Under Promotions: a empirical analysis". Pattern Recognit 12(2020): 542-554. DOI: 10.7759/cureus.104086

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Ostrowski L, Lindqvist O, et al. "Demand Forecasting Under Promotions: a reproducibility study". ACM Trans Softw Eng Methodol 16(2014): 564-578. DOI: 10.1016/j.mayocpiqo.2022.09.004

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Published

2024-09-13

Issue

Vol. 3 No. 2 (2024): vol 3 issue 2 2024

Section

Articles

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