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All Journal Smart Techno (Smart Technology, Informatic and Technopreneurship)
Ridho Aulia Rihhadatul Hudai
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Computer Science & IT

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Business Model Design of a Digital-Based Outfit Recommendation Application for Fashion Personalization Wahyudi, Nayla Nakeisha; Ariyani Mutiah Safitri; Darmadi, Anastasia Bella Clarisa; Ridho Aulia Rihhadatul Hudai; Petrus Sokibi
Smart Techno (Smart Technology, Informatics and Technopreneurship) Article in Press
Publisher : Primakara University

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Abstract

The rapid development of the digital fashion industry has increased the demand for personalization in outfit and makeup selection, particularly among Generation Z and millennial women who face time constraints and demonstrate growing awareness of sustainability. Common issues include difficulties in matching clothing according to personal characteristics, low self-confidence due to inappropriate outfit choices, and a tendency toward overconsumption influenced by fast fashion practices. This study aims to design a business model and develop a user interface prototype for the ColorMatch application as an AI-based outfit recommendation platform, utilizing the Business Model Canvas (BMC) framework and the Prototyping development method. A descriptive qualitative approach is employed to analyze the nine elements of the BMC, while the prototyping stages include requirement identification, wireframe design, mockup development, and feedback-based evaluation to produce a user-oriented UI/UX design. The results indicate that ColorMatch offers a value proposition in the form of outfit and makeup recommendations based on seasonal color analysis, mood-based styling, and personal wardrobe optimization. The integration of digital business model approaches, AI technology, and UI/UX design through prototyping results in a platform that is economically viable, responsive to user needs, and supportive of sustainable fashion practices.
Co-Authors Ariyani Mutiah Safitri Darmadi, Anastasia Bella Clarisa Petrus Sokibi Wahyudi, Nayla Nakeisha