Fashion-Tech Challenge Lab
Fashion-Tech Challenge Lab
Practical business technology challenges for fashion students
1 challenge open
5 challenge concepts in development
France launch
Open to fashion, luxury and retail students
Product Data & AI Readiness Challenge
Help a fashion brand become ready for AI-powered ecommerce.
Audit Studio Noire's product data across 200 SKUs, identify gaps, and build a PIM migration plan and AI readiness framework.
CRM & Clienteling Challenge
500 VIPs generate 62% of revenue. They're being ignored.
Design a clienteling strategy and CRM segmentation playbook for Brûlé London, a luxury multi-brand retailer with a disengaged VIP base.
Returns Reduction Challenge
25–40% return rates are killing margins. Build the fix.
Analyse return data patterns and design a data-driven returns reduction strategy for a contemporary fashion brand, combining UX, logistics, and analytics.
Omnichannel Inventory Challenge
They sell online and in-store. Their inventory has no idea.
Design an omnichannel inventory visibility framework for a brand operating 5 stores and an ecommerce site, using OMS and WMS best practices.
AI Demand Prediction Challenge
Use AI to predict what a fashion brand should produce, in the right quantity, at the right time.
A premium fashion brand struggles with overproduction and stockouts. Students must design an AI-assisted demand prediction approach that connects fragmented data sources and transforms them into smarter buying and merchandising decisions.
More challenges launching soon. Open each challenge to register or get notified when it opens.
Sponsor A Challenge
Every student completing a challenge is researching, comparing and recommending technology tools in your category.
This is not passive brand awareness. Your category becomes part of a structured student project where participants assess options, justify tradeoffs, and produce recommendation decks around the tools a growing fashion business should adopt.
For software vendors, service firms, and infrastructure partners, that means early preference formation with future operators, consultants, and decision-makers across fashion, luxury, and retail.
Business value
- ✦Category exposure inside a challenge built around a real technology buying decision
- ✦Student submissions that compare vendors, recommend stacks, and explain the commercial case
- ✦Access to standout work for market insight, employer branding, and early talent discovery
- ✦Clear sponsor presence on the challenge page and in winner communications