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Linking Consumer's Needs with Product Performance on E-shopping Platforms with Fashion Big Data (FBD) API Plugins
15th Textile Bioengineering and Informatics Symposium, TBIS 2022 ; : 205-215, 2022.
Article in English | Scopus | ID: covidwho-2125365
ABSTRACT
Since 2020, the precedence of COVID-19 and its variants has made a significant impact on the global fashion industry and instigated a fundamental change in consumer purchasing behaviour. A series of lockdowns, travel restrictions, social distancing has forced consumers to rely on and adapt to online shopping methods, causing major branding retail companies to innovate new online based consumer interaction systems. Moreover, work from home has significantly cut down sales in formal wear, while outing restrictions and social distancing has further cut down demand for fast and luxury fashion. Consumer needs and preferences in turn have reoriented towards home comfort and athleisure wear, as well as essential wearables. However, the current online shopping platforms do not provide a way for consumers to specify their own needs and preferences which leads to dissatisfaction for consumers, uncertainty in consumer purchases resulting in high inventory risk for branding retailers, as well as suppliers. This paper introduces how consumer's needs and preferences can be linked with product performance on e-shopping platforms with the novel consumer interactive system "Fashion Big Data (FBD) API plugins". It will describe how the FBD API plugins can enable consumers to set their own needs and preferences;compare consumers' needs and preferences with certified product performance;and provide respective smart personalized product recommendations. The paper will demonstrate real business case examples with hand feel, skin feel and thermal wear comfort FBD API plugins from the EU Horizon 2020, Fashion Big Data Model (FBD B_MODEL) project. This will be followed by FBD B_MODEL business case partner and consumer feedback. © Textile Bioengineering and Informatics Symposium Proceedings 2022 - 15th Textile Bioengineering and Informatics Symposium, TBIS 2022.
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Collection: Databases of international organizations Database: Scopus Language: English Journal: 15th Textile Bioengineering and Informatics Symposium, TBIS 2022 Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Language: English Journal: 15th Textile Bioengineering and Informatics Symposium, TBIS 2022 Year: 2022 Document Type: Article