Project Overview
Styld is an AI–powered shopping platform designed to deliver personalized product discovery. Its core idea is to use artificial intelligence to understand user preferences and provide relevant, curated shopping experiences. The site uses technologies like Firebase for backend/data-storage, PWA (Progressive Web App) for performance & mobile friendliness, reCAPTCHA & security headers like HSTS for safety, and analytics tools for user behaviour tracking.
Goals & Challenges
Goals:
Create a highly personalized shopping experience that adapts to each user’s tastes.
Make discovery and browsing smoother, so users find what they like more quickly.
Ensure the site performs well on mobile and desktop (fast, responsive).
Maintain strong security and privacy, protecting user data.
Challenges:
Collecting and interpreting enough data (preferences, browsing history, etc.) to meaningfully personalize content without overwhelming or slowing down the UI.
Designing an interface that feels both very functional and tailored, but also clean and uncluttered.
Dealing with performance trade-offs: personalization often means dynamic content, which can increase load times or complexity.
Making sure user trust is built via secure handling of information, data privacy compliance, and transparency.
Approach
Research & Discovery
Studied other personalized shopping platforms to see what works (e.g. how they surface recommendations, filters, product suggestions).
Analyzed what triggers user trust — things like fast load, clean UI, visible security features.
Investigated how to gather user preference data ethically and unobtrusively (implicit signals, opt-ins).
Information Architecture
Designed user flows for onboarding (collecting preferences), browsing/discovery, product pages, and purchase.
Built layouts that dynamically adapt content: recommended items, trending items, user favourites, etc.
Ensured mobile first design, since many users shop from phones.
Design & Development
Technology stack: Firebase backend (database), front-end built as progressive web app for performance and offline/fast caching benefits.
Security: used reCAPTCHA, HSTS, secure data communications.
Performance optimizations: minimalistic UI, efficient loading strategies, prioritizing above-the-fold content.
Features: personalized recommendations, browsing history or saved preferences, dynamic content served based on user behaviour.
Final Solution
A responsive PWA-based shopping platform that works smoothly across devices, with fast loading times and a clean, modern design.
Personalized product recommendations and curated content that align with each user’s preferences.
Strong backend infrastructure (Firebase) enabling scalable data handling and real-time interactions.
Security & privacy built-in; visible measures that increase users’ trust.
Analytics integrated to monitor usage, measure what works, and continuously refine personalization.
Results
Improved user engagement: users spend more time exploring because content feels more relevant.
Likely higher conversion rates and better retention (users coming back because recommendations match their taste).
Better trust from users due to faster performance, security features, and transparent UX.
Scalability: the platform is well-positioned to add features like wish lists, notifications, personalized deals, etc., without reworking the core.
Ready to Transform Your Online Presence?
Let’s bring your vision to life with cutting-edge websites and innovative apps. Partner with us to elevate your brand in the digital world
Visuals
