AI-Powered Personalization Engine
The recommendation engine analyzed 50+ data points per customer including browsing behavior, purchase history, size preferences, style affinity, price sensitivity, and seasonal patterns. Machine learning models predicted complementary products with 82% accuracy, powering 'Complete the Look' suggestions that increased cross-selling by 156%. The system A/B tested layouts, product imagery, and messaging in real-time, automatically optimizing for conversion. Personalized email campaigns achieved 42% open rates and 18% click-through rates, both 3x industry averages.
Omnichannel Features & Integration
Real-time inventory visibility showed exact stock levels at each store location, with estimated availability times. BOPIS orders were ready for pickup within 2 hours with SMS notifications. The 'Reserve & Try In Store' feature let customers hold items for 24-hour in-store try-on before purchasing. Unified customer profiles tracked all interactions: a customer who browsed winter coats online would receive personalized recommendations when visiting any retail location. Returns were seamless across channels—online purchases could be returned in any store with instant credit.
Performance & Technical Excellence
The Next.js frontend achieved 95+ Lighthouse scores across all metrics. Server-side rendering (SSR) and static site generation (SSG) ensured fast page loads and excellent SEO performance. Product pages loaded in under 1.2s, with image lazy loading and modern WebP format. The platform handled 45,000 concurrent users during Black Friday without performance degradation through auto-scaling on Vercel's edge network. We implemented progressive web app (PWA) capabilities, enabling offline browsing and native app-like experiences.
Digital Marketing Integration
We implemented comprehensive marketing automation including abandoned cart email sequences (recovering 24% of abandoned carts worth $3.2M annually), post-purchase nurture flows, win-back campaigns for lapsed customers, and VIP segmentation. Dynamic product feeds powered Google Shopping, Facebook, and Instagram ads with real-time inventory and pricing. User-generated content from Instagram was curated and displayed on product pages, increasing social proof and conversion by 31%. Referral program integration drove 18% of new customer acquisitions.
Mobile Experience & App
Mobile accounted for 68% of traffic and 52% of revenue. The responsive design featured thumb-friendly navigation, streamlined checkout (down to 3 steps from 7), and Apple Pay/Google Pay integration. We launched a companion mobile app built with React Native featuring barcode scanning for in-store price checks, digital loyalty cards, exclusive app-only deals, and AR try-on for accessories. The app achieved 42,000 downloads in 6 months with 4.6 App Store rating.