The application of big data in fashion retailing: a narrative review Online publication date: Mon, 04-Jan-2021
by Dag Øivind Madsen; Emmanuel Sirimal Silva; Hossein Hassani
International Journal of Management Concepts and Philosophy (IJMCP), Vol. 13, No. 4, 2020
Abstract: Big data continues to disrupt the fashion retail industry and has revolutionised traditional business models. Today, both leading fashion brands and new start-ups are using big data analytics to improve business operations and maximise profitability. The current paper aims to take stock of the literature on big data in fashion and concisely summarise the fashion industry's current position. We uncover five main reasons that are driving the utilisation and application of big data analytics in the fashion industry. These are: 1) trend prediction; 2) waste reduction; 3) consumer experience, consumer engagement and marketing; 4) better quality control and the need for a world with fewer counterfeits; 5) shortening supply chains. We also identify key challenges which must be overcome as the most fashionable industry now seeks to model the fashion market and consumer behaviour with big data.
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