My Drip - AI-Powered Personalized Shopping Experience
An innovative MVP that combines generative AI with personalized eCommerce, delivering daily outfit recommendations with realistic photos of users wearing them.
When ImageineMe approached us at Drool, they had a compelling challenge: how to pivot their AI image generation technology into a practical eCommerce application. My Drip became the solution - an innovative platform that uses generative AI to personalize shopping experiences by showing users realistic photos of themselves wearing recommended outfits.
The Challenge
ImageineMe was facing the reality of competing in the crowded image generation industry without a clear, practical use case. They needed to pivot their business model and make their generative AI technology more commercially viable by integrating it into personalized eCommerce.
The goal was ambitious yet focused: create an MVP web app that could demonstrate the feasibility of AI-powered personalized shopping before transitioning to mobile. The timeline was tight - just one month to deliver a complete solution that would validate their concept and provide insights for future development.
Initial branding exploration and rough sketches for the My Drip identity
Rapid Brand Development
Given the tight timeline, I managed the design operations with assistance from a junior designer. The first week was dedicated to rapid brand development - we needed to create a cohesive visual identity that could support the unique value proposition of AI-powered personal styling.
Symbol exploration focusing on the intersection of AI and fashion
Color palette exploration balancing tech innovation with fashion appeal
The branding exploration was intentionally quick and focused. We needed something that felt both tech-forward and fashion-conscious, appealing to users who would trust AI with their personal style decisions.
Final branding decisions implemented across the platform
Design Strategy & User Flow
The core challenge was designing for both web and mobile platforms simultaneously, knowing that the user experience would be vastly different between devices. I needed to create a design foundation that could work as a web MVP while anticipating the eventual mobile transition.
Low-fidelity wireframes exploring the core user journey
Comprehensive user flow mapping the entire personalized shopping experience
The user journey had to be intuitive yet sophisticated - users would upload photos, receive AI-generated outfit recommendations, see themselves wearing the clothes, and validate choices with friends before purchasing. Each step needed to feel seamless while handling complex AI processing in the background.
Simplified user flow for the MVP implementation
Web App Implementation
The web app needed to serve as both a functional MVP and a proof of concept for the mobile experience. I focused on creating an interface that could demonstrate the AI capabilities while maintaining simplicity and usability.
Web onboarding flow designed to capture user preferences and style data
Detailed onboarding screens for preference capture and AI personalization
The onboarding process was crucial - we needed to collect enough information to power the AI recommendations while keeping the experience engaging and not overwhelming for users.
Product pages featuring AI-generated visualizations and recommendations
Mobile Considerations
While the primary deliverable was a web MVP, I designed with mobile-first thinking to ensure the eventual transition would be smooth. The interface patterns and information architecture were built to adapt to mobile constraints.
Mobile interface concepts preparing for future app development
Results & Impact
Despite the compressed timeline and platform challenges, we delivered a functional MVP that successfully demonstrated the feasibility of AI-powered personalized shopping. The web app provided ImageineMe with valuable insights into user behavior and technical requirements for their vision.
The project proved that generative AI could be practically applied to eCommerce, creating a unique value proposition that differentiated them from generic image generation tools. More importantly, it laid the groundwork for their mobile app development and validated the market potential for AI-driven personal styling.
“This project demonstrated how quickly a focused team can validate complex AI concepts when design thinking guides technical implementation.”
Working on My Drip reinforced the importance of designing for rapid validation while maintaining long-term scalability - sometimes the best MVPs are the ones that prove a concept without trying to solve every problem at once.
