TY - CONF

T1 - The Demand Dynamics Forecasting for Perishable Products

AU - Firyago, Ulyana

AU - Kocherov, Ivan

AU - Pankratova, Yaroslavna

AU - Trofimova, Inna

N1 - Conference code: 6

PY - 2023

Y1 - 2023

N2 - In this paper, models for forecasting the dynamics of demand for products with a short expiration date are constructed. Here we propose to construct models for time series forecasting using the decomposition method and taking into account the assumptions of experts about the influence of certain factors on the behavior of product consumers. These models were implemented and tested on real data, and the obtained forecast were evaluated. The decomposition method and Holt-Winters method were used, and comparative analysis of these models was carried out, and a forecast are made.

AB - In this paper, models for forecasting the dynamics of demand for products with a short expiration date are constructed. Here we propose to construct models for time series forecasting using the decomposition method and taking into account the assumptions of experts about the influence of certain factors on the behavior of product consumers. These models were implemented and tested on real data, and the obtained forecast were evaluated. The decomposition method and Holt-Winters method were used, and comparative analysis of these models was carried out, and a forecast are made.

UR - https://link.springer.com/chapter/10.1007/978-3-031-21435-6_24

U2 - 10.1007/978-3-031-21435-6_24

DO - 10.1007/978-3-031-21435-6_24

M3 - Paper

SP - 277

EP - 287

T2 - 6th Computational Methods in Systems and Software 2022

Y2 - 13 October 2022 through 15 October 2022

ER -