International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-12,Issue-1  ( May, 2024 )
Statistics report
Jun. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 22
Paper Published : 242
No. of Authors : 695
  Journal Paper


Paper Title :
Machine Learning in Demand Forecasting for Retail

Author :Sabina Rakhmetulayeva, Yernur Turlybayev, Sanzhar Yerdessov

Article Citation :Sabina Rakhmetulayeva ,Yernur Turlybayev ,Sanzhar Yerdessov , (2023 ) " Machine Learning in Demand Forecasting for Retail " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 1-7, Volume-11,Issue-1

Abstract : This article presents a strategy for anticipating consumer demand based on essential indicators and the target variable. These models are based on traditional and contemporary techniques for predicting time series. Our proposed demand forecasting model is based on working with panel samples, clustering time series that are generated based on starting data of economic factors, and using machine learning techniques. The proposed models were tested using conventional regression performance metrics. Keywords - Machine Learning, Forecasting, Recommendation System, Retail Demand

Type : Research paper

Published : Volume-11,Issue-1


DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-19726   View Here

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