Retail demand forecasting using light gradient boosting machine framework

dc.contributor.authorHewage, C
dc.contributor.authorPerera, N
dc.date.accessioned2022-10-12T08:05:18Z
dc.date.available2022-10-12T08:05:18Z
dc.date.issued2022-09
dc.description.abstractPreparing product-level demand forecasts is crucial to the retail industry. Importantly, reliable in-ventory and replenishment decisions for retail products depend on accurate demand forecasts. This allows retailers to enable better pricing and timely promotion plans while leading to huge cost reductions [1]. Often, retail promotions create demand irregularities for products. Customers may change their buying behavior by purchasing more products for future consumption (stockpiling), thereby increasing sales in the promotional period. Then, for a brief time, sales may fall below normal levels before gradually returning to normal levels. The period with a dip in demand is known as the post-promotional period [2]. Thus, a retail promotion has three distinct periods: (1) normal, (2) promotional, and (3) post-promotional, each with its own set of demand fluctuationsen_US
dc.identifier.doihttps://doi.org/10.31705/BPRM.v2(1).2022.8en_US
dc.identifier.issue1en_US
dc.identifier.journalBolgoda Plains Research Magazineen_US
dc.identifier.pgnospp 28-31en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19095
dc.identifier.volume2en_US
dc.identifier.year2022en_US
dc.language.isoenen_US
dc.subjectRetail demand forecastingen_US
dc.subjectGradient boosting machineen_US
dc.titleRetail demand forecasting using light gradient boosting machine frameworken_US
dc.typeArticle-Full-texten_US

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