Jellibeans - AI Fashion Analytics Platform
client
Jellibeans
Jellibeans
industry
AI
platform
Web & Mobile
31 months
Duration
5 employees
Team
REQUEST
Develop an MVP version for an online platfrom where brands all over the world will be able to gather the necessary analytics to stay on top of the competition. The main goal was to figure out a way to provide complex data analysis in a user-friendly way.
CHAllENGE
The product had no close market analogues, so we couldn’t rely on established UX patterns for presenting complex fashion analytics. We had to experiment with multiple data visualizations and interaction models. The main challenge was to keep a strict six-month timeline to deliver an MVP, so the client could validate the idea and attract further growth.
OUR SOLUTION
We started with a focused two-week discovery phase to define the product vision, data structure, and interaction logic. Our client got detailed mockups and technical specifications. With this foundation, we successfully built and launched the MVP in 6 months without delay.
Core Features
Fashion Analytics
Jellibeans' platform, jelli.studio, uses powerful algorithms to help fashion brands and suppliers make smarter design and production decisions. We have developed a modern UI/UX to handle large data points and transform numbers into clear information.
Generative AI
Users are able to generate new piece of clothing at a click of a mouse. It takes a good AI model and a comfortable interface to bring designer's ideas to life. This approach helps brands of all sizes to plan their new collections.
Trend Forecasting
With AI at its core, Jellibeans predicts upcoming trends, compares competitors' strategies, and even helps fine-tune pricing and design ideas.
Collaboration tools
Jellibeans serves as a connecting point for suppliers and brands across the globe. The goal of this feature is make it quick and easy for partners to find each other.
Results
- 2 weeks spent on discovery to set product vision, data structure, and UX for complex analytics.
- 6 months to design and launch a working MVP ready for real market validation.
- Scalable architecture established early to support long-term platform growth beyond the MVP stage.
- Trend forecasting and competitor analysis combined in one view to support faster design and production decisions.
- Collaboration features connected brands and suppliers globally to reduce time spent on partner discovery and alignment.
Technologies we used
Project Team
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