Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1981
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dc.contributor.authorGanhewa, N. B-
dc.contributor.authorAbeyratne, S. M. L. B-
dc.contributor.authorChathurika, G. D. S-
dc.contributor.authorLunugalage, D-
dc.contributor.authorDe Silva, D. I-
dc.date.accessioned2022-04-19T10:09:44Z-
dc.date.available2022-04-19T10:09:44Z-
dc.date.issued2021-12-09-
dc.identifier.citationN. B. Ganhewa, S. M. L. B. Abeyratne, G. D. S. Chathurika, D. Lunugalage and D. De Silva, "Sales Optimization Solution for Fashion Retail," 2021 3rd International Conference on Advancements in Computing (ICAC), 2021, pp. 443-448, doi: 10.1109/ICAC54203.2021.9671152.en_US
dc.identifier.isbn978-1-6654-0862-2-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1981-
dc.description.abstractThe Fashion industry is one of the extensive, changeable, and growing businesses to exist. It encompasses fashion retailing which functions as a mediator between the manufacturers and clients. On account of the inconsistency of this industry, maximizing sales has been a crucial task. The objective of this research study is to analyze and explore product and consumer behavior and thereby maximize sales in the fashion retail industry for women’s clothing to overcome the struggles regarding gaining sales confronted by the industry. The emergence of big data and machine learning has a positive influence on fashion retailing. ML has been utilized in this research to implement a web application that aids in optimizing sales. It comprehends sales forecasting, customer segmentation, and customer demand analytics. Each research component obtains diverse inputs to initialize the prediction and visualization procedure. The models are built employing the Extra Trees Regressor algorithm, K-means algorithm, and Naïve Bayes algorithm. Finally, for specified inputs, results will be predicted that comprise sales forecasts for products, segmentation of consumers, and forecasts about most demanded fashion item’s characteristics. This paper portrays the proceedings of data preparation, model development, and results of each research component.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 3rd International Conference on Advancements in Computing (ICAC);Pages 443-448-
dc.subjectSalesen_US
dc.subjectOptimization Solutionen_US
dc.subjectFashion Retailen_US
dc.titleSales Optimization Solution for Fashion Retailen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671152en_US
Appears in Collections:Research Papers - Dept of Computer Science and Software Engineering
Research Papers - SLIIT Staff Publications

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