Project Overview
A complete e-commerce ecosystem that leverages AI to personalize every customer touchpoint. The platform handles 100K+ monthly visitors with intelligent automation that drives conversions and reduces operational overhead.
🏗️ Technical Stack:
• Laravel 10 with repository pattern and service layers
• Vue.js 3 storefront with server-side rendering for SEO
• Python microservices for ML recommendation engine
• Elasticsearch for instant product search (50ms response)
• Redis for session management and cart caching
• Stripe + PayPal + local payment gateway integrations
🤖 AI-Powered Features:
• Smart Product Recommendations: Collaborative + content-based filtering
• Visual Search: Upload image to find similar products (TensorFlow)
• Dynamic Pricing: AI-optimized pricing based on demand and competition
• AI Chatbot: Handles 80% of customer queries automatically
• Fraud Detection: ML model prevents 99.2% of fraudulent transactions
• AI-Generated Descriptions: SEO-optimized product content
• Churn Prediction: Proactive retention campaigns
📈 Results Delivered:
✓ 35% increase in average order value
✓ 28% improvement in conversion rate
✓ 45% reduction in cart abandonment
✓ 80% of support queries resolved by AI chatbot
✓ $2.4M GMV in first 6 months
Client: Leading Fashion Retailer (Pakistan)
Duration: 12 weeks
Team: 3 developers, 1 ML engineer, 1 UI/UX designer
🏗️ Technical Stack:
• Laravel 10 with repository pattern and service layers
• Vue.js 3 storefront with server-side rendering for SEO
• Python microservices for ML recommendation engine
• Elasticsearch for instant product search (50ms response)
• Redis for session management and cart caching
• Stripe + PayPal + local payment gateway integrations
🤖 AI-Powered Features:
• Smart Product Recommendations: Collaborative + content-based filtering
• Visual Search: Upload image to find similar products (TensorFlow)
• Dynamic Pricing: AI-optimized pricing based on demand and competition
• AI Chatbot: Handles 80% of customer queries automatically
• Fraud Detection: ML model prevents 99.2% of fraudulent transactions
• AI-Generated Descriptions: SEO-optimized product content
• Churn Prediction: Proactive retention campaigns
📈 Results Delivered:
✓ 35% increase in average order value
✓ 28% improvement in conversion rate
✓ 45% reduction in cart abandonment
✓ 80% of support queries resolved by AI chatbot
✓ $2.4M GMV in first 6 months
Client: Leading Fashion Retailer (Pakistan)
Duration: 12 weeks
Team: 3 developers, 1 ML engineer, 1 UI/UX designer
Technologies Used
AI E-commerce
Laravel
Recommendation Engine
Personalization
Online Store
Machine Learning
Key Results
40%
Efficiency Gain
99.9%
Uptime Achieved
4.8/5
Client Rating
"Hcodecraft delivered exceptional results. Their technical expertise in Laravel and AI integration transformed our business operations. The team was professional, responsive, and delivered on time."
