Intelligent Design Suggestion and Sales Forecasting for New Products in the Apparel Industry

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dc.contributor.authorTsao, Yu-Chung
dc.contributor.authorLiu, Yu-Hsuan
dc.contributor.authorVu, Thuy-Linh
dc.contributor.authorFang, I-Wen
dc.contributor.organizationDepartment of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan
dc.contributor.organizationArtificial Intelligence for Operations Management Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan
dc.contributor.organizationDepartment of Business Management, Tatung University, Taipei, Taiwan
dc.date.accessioned2025-02-07T10:36:40Z
dc.date.available2025-02-07T10:36:40Z
dc.date.issued2023-12-15
dc.description.abstractThis study demonstrates how algorithms can assist humans in decision-making in the apparel industry. A two-stage method including suggestions and intelligent forecasting was proposed. In the first stage, a web crawler was used to browse a B2C apparel website to identify popular products. In the second stage, machine learning methods were used to predict the sales demand for new products. Additionally, we used Google Trends to collect external information indices to adjust the demand forecasting. Our numerical study shows that the intelligent forecasting approach can effectively reduce the Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) by at least 45.79, 26.35, and 26.34 %, respectively.en
dc.identifier.citationTsao, Y.C., Liu, Y.H., Vu, T.L. & Fang, I.W. Intelligent Design Suggestion and Sales Forecasting for New Products in the Apparel Industry. Fibres & Textiles in Eastern Europe, 2023, Sciendo, vol. 31 no. 6, pp. 30-38. https://doi.org/10.2478/ftee-2023-0052
dc.identifier.doi10.2478/ftee-2023-0052
dc.identifier.issn1230-3666
dc.identifier.issn2300-7354
dc.identifier.urihttps://open.icm.edu.pl/handle/123456789/25403
dc.language.isoen
dc.publisherSciendo
dc.relation.ispartofseries31; 6
dc.rightsUznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Unporteden
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.sourceFibres & Textiles in Eastern Europe
dc.subjectnew producten
dc.subjectsuggestionen
dc.subjectforecastingen
dc.subjectweb crawleren
dc.subjectmachine learningen
dc.subjectGoogle Trenden
dc.titleIntelligent Design Suggestion and Sales Forecasting for New Products in the Apparel Industryen
dc.typearticle
dc.type.versionpublishedVersion
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