Stitch Fix DTC Business Model Innovation Path Based on Data Driven

Wenhua Li and Lu Sun
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Wenhua Li: Taizhou University
Lu Sun: Taizhou University

A chapter in Innovation of Digital Economy, 2023, pp 261-280 from Springer

Abstract: Abstract Using the interpretative case analysis method, through the collection and analysis of second-hand data, and based on the four element theoretical model of business model with technological innovation as the core, this paper describes the DTC model innovation process of clothing vertical e-commerce stitch fix with the help of data science. The case mainly introduces and shows the development process and key success factors of stitch fix in recent 10 years from four aspects: customer value proposition, key processes, key resources and profit model, that is, the data model algorithm runs through all processes of the company's business, and improves the accuracy of personalized recommendation system, the sustainability of subscription service and the efficiency of logistics optimization, It has certain reference significance for Chinese garment enterprises to carry out digital transformation with the help of e-commerce platform.

Keywords: DTC business model; Model innovation; Data science; Personalized recommendation; Subscription service (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-981-99-1741-9_21

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DOI: 10.1007/978-981-99-1741-9_21

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