The Stylumia NXT Hackathon invites designers, data scientists, and innovators to reimagine the next generation of intelligence for fashion retail. Retailers face crucial decisions daily, such as determining which products to include in assortments based on trends, setting optimal pricing, and planning promotions. At Stylumia, we aim to overcome industry challenges like subjective forecasting and inefficient demand planning, which lead to unsustainable practices. This hackathon provides a platform to explore new possibilities at the intersection of AI, data science, and user experience, with the goal of enabling smarter, faster, and more sustainable decisions in fashion.
Participants will tackle key challenges in trend discovery and product intelligence, focusing on creating solutions that are not only functional but also future-proof. This collaborative event encourages participants to push boundaries and develop practical tools that align with Stylumia’s mission to augment human decision-making with technology, reducing waste and improving business outcomes.
Objective
Stylumia NXT Hackathon seeks to inspire solutions that leverage AI and build next-generation user experiences to redefine the future of fashion retail, focusing on two core challenges where innovation can drive meaningful change:
- Reimagining Trend Discovery for Designers: Designers often struggle with tools that are complex, generic, and static, limiting their ability to quickly identify and act on emerging trends. Participants will develop engaging, intuitive, and personalized interfaces to improve trend tracking and discovery. These solutions should empower designers with real-time insights, making the process of trend exploration dynamic, easy, and enjoyable.
- Developing a Universal Fashion Ontology & Feature Extraction System: Fashion products span a wide range of categories, from apparel and footwear to accessories, each with distinct attributes. Traditional systems often fall short in capturing and analyzing these intricate product details. Participants will design AI solutions capable of extracting, organizing, and understanding product attributes with greater precision, helping retailers optimize assortments and make better decisions based on consumer demand.
Eligibility Criteria
- Open to All
AI Problem Statement - Universal Fashion Ontology & Feature Extraction System
- Who is it for?
- This challenge is for AI enthusiasts, data scientists, and developers eager to create innovative solutions that enhance product discovery, trend forecasting, and personalization in fashion retail. It’s ideal for those skilled in computer vision, NLP, and scalable tech design.
UX Design Problem Statement – Designing the Future of Fashion Trend Discovery
- Who is it for?
- This challenge is for UX designers, product managers, and innovators passionate about transforming trend discovery for fashion professionals. It's ideal for those who want to create engaging, user-friendly B2B solutions for designers, planners, and merchandisers.
