期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：2
页码：3696-3707
DOI：10.9756/INT-JECSE/V14I2.398
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：This article aims towards development of a Demand forecasting model for retail automobile inventory using soft computing Technique. The forecasting of the quantitative value of the dependent variable under the influence of independent variables is explained. One of the most important decisions a retailer in the automobile sector can build on information obtained by soft computing based on the predictive model. This paper proposes a data mining technique that may be used to forecast demand. The proposed soft computing-based forecasting model resulted in a reduction in inventory and an improvement in consumer service, resulting in enhanced retail automobile inventory performance. To increase inventory performance and operations profitability, the proposed model for retail demand forecasting required a variety of factors.
