Forecasting demand AT the outlet–product level in distribution using machine learning algorithms: a conceptual model

Ne’matov Abdug‘ani, Ismailov Shixnazar Rashid o‘g‘li, Ashiraliyev Zokirjon Nosirali o‘g‘li

Innores · 2026-yil

Annotatsiya

In the distribution of fast-moving consumer goods (FMCG), the basis for building acorrect plan for sales agents and van-sellers is an accurate forecast of future demandfor each outlet and product. This article — the first part of a three-part series —proposes a conceptual and methodological model for forecasting weekly demand atthe outlet–product (SKU) level using machine learning (ML) algorithms. Based onthe data schema of a real distribution information system (DMS/SFA), it describesthe feature set, the choice of models (Random Forest, XGBoost), and the evaluationmethodology (MAE, RMSE, MAPE, R²). The article provides an integratedframework for practical implementation; empirical verification is intended to becarried out on real data.

Maqola ma’lumotlari
MualliflarNe’matov Abdug‘ani, Ismailov Shixnazar Rashid o‘g‘li, Ashiraliyev Zokirjon Nosirali o‘g‘li
JurnalInnores
NashriyotАндижон давлат техника университети
Nashr sanasi2026-06-30
Jild2
Son6
Betlar79-85
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

distribution, demand forecasting, machine learning, XGBoost, Random Forest, FMCG, SKU, conceptual model

Ilmiy soha

Texnika

Iqtibos keltirish

APANe’matov Abdug‘ani, Ismailov Shixnazar Rashid o‘g‘li, & Ashiraliyev Zokirjon Nosirali o‘g‘li (2026). FORECASTING DEMAND AT THE OUTLET–PRODUCT LEVEL IN DISTRIBUTION USING MACHINE LEARNING ALGORITHMS: A CONCEPTUAL MODEL. Innores, 2(6), 79-85. https://innores.uz/index.php/T/article/view/289
GOST (OAK)Ne’matov Abdug‘ani, Ismailov Shixnazar Rashid o‘g‘li, Ashiraliyev Zokirjon Nosirali o‘g‘li FORECASTING DEMAND AT THE OUTLET–PRODUCT LEVEL IN DISTRIBUTION USING MACHINE LEARNING ALGORITHMS: A CONCEPTUAL MODEL // Innores. – 2026. – T. 2, № 6. – P. 79-85.
MLANe’matov Abdug‘ani, Ismailov Shixnazar Rashid o‘g‘li, and Ashiraliyev Zokirjon Nosirali o‘g‘li. “FORECASTING DEMAND AT THE OUTLET–PRODUCT LEVEL IN DISTRIBUTION USING MACHINE LEARNING ALGORITHMS: A CONCEPTUAL MODEL.” Innores, 2(6), 79-85, 2026. https://innores.uz/index.php/T/article/view/289
ChicagoNe’matov Abdug‘ani, Ismailov Shixnazar Rashid o‘g‘li, and Ashiraliyev Zokirjon Nosirali o‘g‘li. “FORECASTING DEMAND AT THE OUTLET–PRODUCT LEVEL IN DISTRIBUTION USING MACHINE LEARNING ALGORITHMS: A CONCEPTUAL MODEL.” Innores, 2(6), 79-85 (2026). https://innores.uz/index.php/T/article/view/289
HarvardNe’matov Abdug‘ani, Ismailov Shixnazar Rashid o‘g‘li, and Ashiraliyev Zokirjon Nosirali o‘g‘li (2026) ‘FORECASTING DEMAND AT THE OUTLET–PRODUCT LEVEL IN DISTRIBUTION USING MACHINE LEARNING ALGORITHMS: A CONCEPTUAL MODEL’, Innores, 2(6), 79-85. https://innores.uz/index.php/T/article/view/289
BibTeX
@article{nematovabdugani2026,
  title = {FORECASTING DEMAND AT THE OUTLET–PRODUCT LEVEL IN DISTRIBUTION USING MACHINE LEARNING ALGORITHMS: A CONCEPTUAL MODEL},
  author = {Ne’matov Abdug‘ani and Ismailov Shixnazar Rashid o‘g‘li and Ashiraliyev Zokirjon Nosirali o‘g‘li},
  journal = {Innores},
  year = {2026},
  volume = {2},
  number = {6},
  pages = {79-85},
  url = {https://innores.uz/index.php/T/article/view/289}
}

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