A growing fashion retailer was struggling with a generic e-commerce platform that offered zero personalization, had a 78% cart abandonment rate, and converted only 0.9% of visitors. After building a custom AI-powered e-commerce platform, conversion rates jumped to 3.5%, cart abandonment dropped to 25%, and the company scaled from $8M to $45M in annual revenue—all while delivering personalized shopping experiences to 2M+ customers.
Client Overview
Company: [Confidential - Fashion & Apparel Retailer] Industry: E-commerce / Fashion Retail Business Model: Direct-to-consumer (D2C) Product Range: 15,000+ SKUs across 8 categories Challenge: Generic platform limiting growth and personalization
The Problem
Generic Platform Limitations:
Platform Issues:
- One-size-fits-all experience
- No personalization capabilities
- Limited customization options
- Poor mobile experience
- Slow page load times (4-7 seconds)
- No AI/ML capabilities
- Limited integration options
- High transaction fees (2.9% + $0.30)
Resulting in:
- Low conversion rate (0.9%)
- High cart abandonment (78%)
- Poor customer retention (23% annual)
- Limited average order value ($67)
- No cross-sell/upsell
Customer Experience Problems:
Navigation Issues:
- Generic product recommendations
- No size/fit guidance
- Difficult product discovery
- No style matching
- Poor search functionality
- Limited filtering options
- No visual search
Checkout Friction:
- 7-step checkout process
- Account creation required
- Limited payment options
- No mobile optimization
- Address validation issues
- No save for later
- Complicated returns
Post-Purchase:
- No order tracking
- Email-only communication
- No personalized follow-up
- Limited customer service
- No loyalty program
Business Impact:
Financial:
Annual Revenue: $8M (stagnant)
Conversion Rate: 0.9%
Cart Abandonment: 78%
Average Order Value: $67
Customer LTV: $124
Marketing CAC: $58
Return Rate: 32%
Operational:
Page Load Time: 4-7 seconds
Mobile Bounce Rate: 67%
Search Success Rate: 34%
Customer Service Tickets: 8,000/month
Manual Order Processing: 15%
Returns Processing: 5 days average
Customer Satisfaction:
NPS Score: 12
Repeat Purchase Rate: 23%
Customer Reviews: 3.2/5
Support Rating: 6.1/10
Our Custom E-commerce Solution
Phase 1: Commerce Strategy & UX Design (Week 1-4)
E-commerce Best Practices Research:
Analyzed:
- 50+ successful fashion e-commerce sites
- Industry conversion benchmarks
- Mobile commerce trends
- Personalization strategies
- Checkout optimization
- AI/ML applications
Interviewed:
- Customers (200)
- Customer service team (12)
- Warehouse staff (8)
- Marketing team (6)
- Management (3)
Key Findings:
- 78% shop on mobile
- 67% abandon if slow load
- 82% want personalization
- 71% abandon if account required
- 89% compare prices
- 64% influenced by reviews
UX/UI Design Priorities:
Mobile-First Design:
- Touch-optimized interface
- Thumb-friendly navigation
- Fast loading (<2 seconds)
- Progressive Web App (PWA)
- Offline browsing capability
Personalization:
- AI product recommendations
- Style matching
- Size recommendations
- Personalized homepage
- Dynamic pricing
- Customized emails
Conversion Optimization:
- 3-step guest checkout
- Multiple payment options
- Trust signals throughout
- Exit-intent popups
- Abandoned cart recovery
- Social proof integration
Visual Commerce:
- High-quality imagery
- 360° product views
- Video demonstrations
- AR try-on (accessories)
- User-generated content
- Shoppable Instagram
Phase 2: Platform Architecture (Week 5-8)
Custom E-commerce Architecture:
Core Modules:
1. Product Catalog Management
- 15,000+ SKUs
- Variants (size, color, style)
- Dynamic attributes
- Inventory management
- Pricing engine
- Product relationships
2. AI Personalization Engine
- Customer behavior tracking
- Product recommendations
- Size recommendations
- Style matching
- Dynamic content
- Predictive analytics
3. Smart Search & Discovery
- Natural language search
- Visual search (image upload)
- Autocomplete
- Filters (20+ attributes)
- Sort options
- Search analytics
4. Shopping Cart & Checkout
- Guest checkout
- Save for later
- Multiple shipping addresses
- Gift options
- Promo code engine
- Tax calculation
5. Order Management System
- Order processing
- Fulfillment automation
- Shipping integration
- Returns management
- Refund processing
- Customer communication
6. Customer Account Portal
- Order history
- Wishlist
- Style profile
- Size preferences
- Payment methods
- Loyalty points
7. Marketing Automation
- Email campaigns
- SMS marketing
- Push notifications
- Abandoned cart recovery
- Post-purchase sequences
- Win-back campaigns
8. Analytics & Reporting
- Real-time dashboards
- Conversion funnel
- Product performance
- Customer analytics
- Revenue reporting
- Custom reports
Technology Stack:
Frontend:
- React.js (Next.js framework)
- TypeScript
- Tailwind CSS
- Progressive Web App
- Server-side rendering
- Image optimization
Backend:
- Node.js with Express
- PHP Laravel (API layer)
- GraphQL API
- RESTful APIs
- Redis caching
- Queue processing
Database:
- PostgreSQL (primary)
- MongoDB (product catalog)
- Redis (sessions, cache)
- Elasticsearch (search)
AI/ML:
- Python (recommendation engine)
- TensorFlow
- Scikit-learn
- Collaborative filtering
- Computer vision (visual search)
Payment Processing:
- Multiple payment gateways
- PCI DSS Level 1 compliant
- 3D Secure support
- Digital wallets
- Buy now, pay later
Infrastructure:
- Cloud hosting (auto-scaling)
- CDN (global)
- Load balancing
- 99.99% uptime SLA
- Disaster recovery
Phase 3: AI-Powered Personalization (Week 9-14)
Recommendation Engine:
Product Recommendations:
Recommendation Types:
1. Homepage Recommendations:
- "Recommended for You" (personalized)
- "Trending Now" (global trends)
- "New Arrivals" (recent additions)
- "Complete the Look" (styling)
2. Product Page Recommendations:
- "You May Also Like" (similar items)
- "Frequently Bought Together"
- "Complete the Outfit"
- "Similar Styles"
3. Cart Recommendations:
- "Add to Complete Your Order"
- "Others Also Bought"
- Threshold-based (free shipping)
4. Post-Purchase:
- "Based on Your Recent Order"
- "Complementary Items"
- "You Might Need"
Algorithm:
Collaborative Filtering:
- User-based (similar customers)
- Item-based (similar products)
- Hybrid approach
Content-Based:
- Product attributes
- Style matching
- Color coordination
- Brand preferences
- Price range
Behavioral:
- Browsing history
- Purchase history
- Wishlist items
- Search queries
- Time spent on products
Real-Time:
- Current session behavior
- Cart contents
- Recently viewed
- Seasonal trends
- Inventory levels
Accuracy:
Click-Through Rate: 12.4%
Add-to-Cart Rate: 8.7%
Conversion Rate: 4.2%
Revenue from Recommendations: 38%
Smart Size Recommendations:
Size Recommendation System:
Data Collection:
- Customer measurements (optional input)
- Purchase history
- Return reasons
- Fit feedback
- Body type (self-reported)
ML Model:
Inputs:
- Product measurements
- Brand size charts
- Material stretch
- Customer data
- Review sentiment (fit)
Output:
- Size recommendation
- Confidence level
- Fit prediction (tight/perfect/loose)
- Alternative sizes
Features:
"What's Your Size?" Quiz:
- Height
- Weight
- Body shape
- Fit preference
- Reference brand sizes
Virtual Fitting Room:
- Size guide overlay
- Fit visualization
- Size comparison
- Review-based insights
Results:
Size-Related Returns: 32% → 12%
Size Confidence: 87% accurate
Customer Satisfaction: +45%
Return Processing Cost: -$840K annually
Visual Search:
AI-Powered Visual Search:
Feature: Upload photo to find similar items
Technology:
- Computer vision
- Image recognition
- Deep learning
- Feature extraction
- Similarity matching
Process:
1. User uploads image
2. AI extracts features:
- Color palette
- Pattern/texture
- Style elements
- Garment type
- Design details
3. Matches against catalog
4. Returns similar products
5. Sorts by similarity score
Use Cases:
- Instagram inspiration
- Celebrity looks
- Street style
- Magazine photos
- Friend's outfit
Adoption:
Monthly Visual Searches: 45,000
Success Rate: 78%
Conversion Rate: 6.8% (vs 3.5% avg)
Average Order Value: +32%
Phase 4: Conversion Optimization (Week 15-18)
Friction-Free Checkout:
Optimized Checkout Flow:
3-Step Checkout:
Step 1: Shipping (30 seconds)
- Guest checkout (no account)
- Address autocomplete
- Saved addresses (members)
- Multiple addresses
- Ship to store option
- Gift options
Step 2: Payment (20 seconds)
- Multiple payment methods:
* Credit/debit cards
* Digital wallets (3)
* Buy now, pay later (2)
* Bank transfer
* Gift cards
- Saved payment methods
- 3D Secure (seamless)
- Order summary sidebar
Step 3: Review (10 seconds)
- Order confirmation
- Edit capability
- Apply promo code
- Add gift message
- Marketing opt-in
- Place order button
Features:
- Progress indicator
- Save and continue later
- Trust badges
- Security assurance
- Live chat support
- Exit-intent offers
Results:
Checkout Time: 7 min → 60 sec
Checkout Abandonment: 68% → 18%
Guest Checkout: 73% of orders
Mobile Completion: +89%
Cart Abandonment Recovery:
Automated Recovery System:
Trigger Events:
- Item added to cart
- Checkout started
- Cart abandoned (10 min inactive)
Recovery Sequence:
Email 1 (1 hour later):
- Subject: "You left something behind!"
- Cart contents reminder
- Product images
- Quick checkout link
- 10% discount code
Email 2 (24 hours later):
- Subject: "Still interested?"
- Social proof (reviews)
- Urgency (stock levels)
- Free shipping offer
- Customer support
Email 3 (72 hours later):
- Subject: "Last chance!"
- 15% discount
- Urgency messaging
- Alternative products
- Chat support
Additional Channels:
- Web push notifications
- SMS (opt-in customers)
- Retargeting ads
- Facebook Messenger
Personalization:
- Customer name
- Specific products
- Abandoned value
- Previous behavior
- Segment-based offers
Results:
Recovery Rate: 28%
Revenue Recovered: $3.2M annually
ROI: 4,200%
Average Recovery Value: $89
Social Proof & Trust:
Trust Elements:
Product Pages:
- Customer reviews (verified)
- Star ratings
- Photo reviews
- "Fit" ratings
- Review summary (AI-generated)
- Q&A section
Throughout Site:
- Real-time purchase notifications
- "X people viewing"
- "X purchased today"
- Stock countdown
- Free shipping threshold
- Secure checkout badges
- Money-back guarantee
- Easy returns promise
Checkout:
- SSL certificate badge
- PCI compliance badge
- Trusted payment icons
- Customer testimonials
- Press mentions
Results:
Trust indicators impact:
Conversion Rate: +23%
Average Order Value: +15%
Customer Confidence: 9.1/10
Review Submission: 34% of orders
Phase 5: Mobile Commerce Excellence (Week 19-22)
Progressive Web App (PWA):
PWA Features:
App-Like Experience:
- Add to home screen
- Full-screen mode
- Splash screen
- Native-like navigation
- Smooth animations
- Touch gestures
Offline Capabilities:
- Browse previously viewed products
- Cached product catalogs
- Saved cart (sync when online)
- Wishlist access
- Account information
Performance:
- Service workers
- Asset caching
- Lazy loading
- Image optimization
- Code splitting
- Preloading
Push Notifications:
- Order updates
- Shipping notifications
- Back in stock alerts
- Price drop alerts
- Personalized offers
- Abandoned cart reminders
Results:
Mobile Conversion: +127%
Page Load Time: <2 seconds
Engagement: +89%
Repeat Visits: +156%
App Installs: 0 → 280,000
Mobile-Optimized Features:
Touch-First Interface:
- Large touch targets (48x48px minimum)
- Thumb-zone optimization
- Swipeable product galleries
- Pull-to-refresh
- Bottom navigation
- Collapsible filters
Mobile-Specific Features:
- One-tap checkout
- Saved payment methods
- Biometric authentication
- QR code scanning
- Location-based shipping
- Mobile wallet integration
Camera Integration:
- Visual search
- Barcode scanning
- AR try-on (sunglasses, jewelry)
- Photo upload for reviews
- QR code payments
Mobile Performance:
First Contentful Paint: 0.8s
Time to Interactive: 1.9s
Lighthouse Score: 96/100
Mobile Bounce Rate: 67% → 28%
Mobile Revenue: 34% → 68% of total
Phase 6: Omnichannel Integration (Week 23-26)
Unified Commerce:
Channel Integration:
Sales Channels:
1. Main Website
2. Mobile App (PWA)
3. Social Commerce:
- Instagram Shopping
- Facebook Shops
- Pinterest Buyable Pins
- TikTok Shop
4. Marketplaces (3 major)
5. Pop-up Stores (seasonal)
Inventory Synchronization:
- Real-time inventory across channels
- Unified product catalog
- Centralized order management
- Cross-channel analytics
- Single customer view
Features:
Buy Online, Pick Up in Store (BOPIS):
- Real-time store inventory
- Reserve online
- 2-hour pickup
- Pickup notifications
- In-store returns
Ship from Store:
- Store inventory available online
- Distributed fulfillment
- Faster delivery
- Reduced shipping costs
- Optimized logistics
Endless Aisle:
- Order unavailable sizes in-store
- Ship to customer home
- No lost sales
- Enhanced in-store experience
Results:
BOPIS Orders: 18% of online orders
Ship from Store: 34% of orders
Channel Revenue Distribution:
- Website: 52%
- Mobile: 34%
- Social: 9%
- Marketplaces: 5%
Phase 7: Marketing Automation (Week 27-30)
Intelligent Marketing Engine:
Email Marketing Automation:
Automated Campaigns:
Welcome Series (3 emails):
Day 0: Welcome + 15% discount
Day 3: Style quiz + top products
Day 7: Bestsellers + free shipping
Browse Abandonment:
30 min: "Still looking?" + recommendations
24 hours: Product details + reviews
3 days: Alternative products
Cart Abandonment:
1 hour: Reminder + 10% off
24 hours: Social proof + free shipping
72 hours: 15% off + urgency
Post-Purchase:
Immediate: Order confirmation
Day 1: Shipping update
Day 3: Delivery confirmation
Day 7: Review request
Day 14: Care instructions
Day 30: Replenishment (if applicable)
Day 60: Related products
Re-engagement:
30 days inactive: "We miss you" + 20% off
60 days: New arrivals
90 days: VIP offer
120 days: Win-back campaign
Personalization:
- Customer name
- Purchase history
- Browsing behavior
- Style preferences
- Size information
- Engagement level
Results:
Email Revenue: 32% of total
Open Rate: 34%
Click Rate: 8.7%
Conversion Rate: 5.2%
Unsubscribe Rate: 0.3%
SMS Marketing:
SMS Campaigns:
Use Cases:
- Order confirmations
- Shipping updates
- Delivery notifications
- Back in stock alerts
- Flash sales
- VIP early access
- Abandoned cart (opt-in)
Compliance:
- Double opt-in
- Easy opt-out
- Time restrictions
- Frequency limits
- Clear sender ID
Performance:
Opt-in Rate: 23%
Open Rate: 98%
Click Rate: 36%
Conversion Rate: 12%
ROI: 7,100%
Phase 8: Customer Loyalty Program (Week 31-34)
Rewards Program:
Loyalty Structure:
Points System:
Earn Points:
- $1 spent = 1 point
- Account creation: 100 points
- Birthday: 200 points
- Product review: 50 points
- Photo review: 100 points
- Referral: 500 points
- Social share: 25 points
Redeem Points:
- 500 points = $5 off
- 1,000 points = $10 off
- 2,500 points = $25 off
- 5,000 points = $50 off
Tier Levels:
Bronze (0-999 points):
- Standard benefits
- 1x points earning
Silver (1,000-4,999):
- 1.25x points
- Early sale access
- Free shipping ($50+)
- Birthday gift
Gold (5,000-9,999):
- 1.5x points
- Free shipping (always)
- Exclusive products
- Personal stylist
- 20% birthday discount
Platinum (10,000+):
- 2x points
- Free express shipping
- Priority customer service
- Exclusive events
- 25% birthday discount
- Free returns
Program Features:
- Points balance in account
- Points expiry (12 months)
- Points history
- Tier progress tracking
- Referral sharing
- Gift points option
Results:
Member Enrollment: 67%
Active Members: 78%
Repeat Purchase Rate: 23% → 64%
Average Order Value: +32%
Customer LTV: $124 → $387
Program Revenue: 58% of total
Referral Program:
Refer-a-Friend:
Structure:
- Referrer: 500 points ($5 value)
- Referee: 15% off first order
Sharing Options:
- Email
- SMS
- WhatsApp
- Facebook
- Twitter
- Copy link
Tracking:
- Unique referral codes
- Click tracking
- Conversion attribution
- Commission calculation
- Fraud detection
Gamification:
- Milestone rewards
- Leaderboards
- Bonus campaigns
- VIP referrer status
Results:
Monthly Referrals: 3,400
Referral Conversion: 28%
Customer Acquisition Cost: $58 → $12
Referral Revenue: $2.8M annually
Results
Immediate Impact (First 6 Months)
Conversion & Revenue:
Metric Before After Change
Conversion Rate 0.9% 3.5% +289%
Cart Abandonment 78% 25% -68%
Average Order Value $67 $94 +40%
Revenue per Visitor $0.60 $3.29 +448%
Monthly Revenue $667K $2.8M +320%
Customer Experience:
Metric Before After Change
Page Load Time 4-7 sec 1.2 sec -79%
Mobile Bounce Rate 67% 28% -58%
Search Success Rate 34% 87% +156%
Checkout Time 7 min 60 sec -86%
Size Returns 32% 12% -63%
Customer Satisfaction 6.1/10 8.9/10 +46%
Operational Efficiency:
Process Before After Improvement
Order Processing Manual Automated 100%
Customer Service Tickets 8,000/mo 2,400/mo -70%
Returns Processing 5 days 24 hours -80%
Inventory Accuracy 87% 99.3% +14%
Long-Term Impact (18 Months)
Business Growth:
Revenue:
Year 0: $8M
Year 1: $28M (+250%)
Year 2: $45M (+60% YoY)
18-Month Growth: +463%
Customer Base:
Active Customers: 45,000 → 287,000
Monthly New Customers: 1,200 → 14,500
Customer Retention: 23% → 68%
Lifetime Value: $124 → $387
Performance:
Conversion Rate: 3.5% (industry avg: 2.1%)
Cart Abandonment: 25% (industry avg: 69%)
Repeat Purchase Rate: 64% (industry avg: 32%)
Mobile Revenue: 68% (industry avg: 54%)
Channel Performance:
Revenue by Channel:
Website: 52% ($23.4M)
Mobile App: 34% ($15.3M)
Social Commerce: 9% ($4.1M)
Marketplaces: 5% ($2.3M)
Marketing ROI:
Email Marketing: 3,200%
SMS Marketing: 7,100%
Referral Program: 4,800%
Loyalty Program: 2,400%
Overall Marketing ROI: 380%
Cost Optimization:
Cost Reductions:
Customer Acquisition: $58 → $23 (-60%)
Transaction Fees: 2.9% → 1.8% (-38%)
Customer Service: -70%
Returns Processing: -$840K annually
Manual Order Processing: -100%
Total Annual Savings: $4.2M
Customer Satisfaction:
Metrics:
NPS Score: 12 → 72 (+500%)
Customer Reviews: 3.2/5 → 4.7/5
Support Rating: 6.1/10 → 9.2/10
Brand Loyalty: +287%
Social Mentions: +445%
ROI Achievement:
Investment: $380,000
Year 1:
Revenue Increase: $20M
Gross Margin (40%): $8M
Cost Savings: $4.2M
Total Impact: $12.2M
ROI: 3,110%
Payback Period: 11 days
18-Month Cumulative:
Total Impact: $26.8M
ROI: 6,953%
Client Testimonial
"This platform didn't just improve our numbers—it transformed our entire business. We went from struggling with a generic solution to having a competitive advantage. The AI personalization is like having a personal shopper for every customer. Our conversion rate is now triple the industry average, and our customers actually love shopping with us. The investment paid for itself in less than two weeks, and we're now on track to hit $60M this year."
— CEO, Fashion Retailer
Technical Architecture
Performance & Scalability
Performance Optimization:
Frontend:
- Server-side rendering (SSR)
- Code splitting
- Lazy loading
- Image optimization (WebP, next-gen formats)
- CDN delivery (150+ edge locations)
- Critical CSS inline
- Defer non-critical JS
Backend:
- API caching (Redis)
- Database query optimization
- Connection pooling
- Microservices architecture
- Async processing
- Load balancing
Results:
Lighthouse Score: 96/100
Core Web Vitals: All passing
LCP: 1.2s
FID: 50ms
CLS: 0.05
Page Load: <2 seconds
API Response: <100ms
Scalability:
Infrastructure:
- Auto-scaling (CPU/memory-based)
- Horizontal scaling
- Database replication
- Sharding (future-ready)
- Queue-based processing
- Microservices ready
Traffic Handling:
Current: 2M visitors/month
Capacity: 20M visitors/month
Peak Traffic: Black Friday (15x normal)
Uptime: 99.97%
Concurrent Users:
Tested: 50,000 simultaneous
Actual Peak: 12,000
No performance degradation
Security:
E-commerce Security:
- PCI DSS Level 1 compliant
- SSL/TLS 1.3
- Web Application Firewall (WAF)
- DDoS protection
- Rate limiting
- SQL injection prevention
- XSS protection
- CSRF protection
Data Protection:
- Encryption at rest
- Encryption in transit
- Tokenized payments
- 3D Secure authentication
- Two-factor authentication
- GDPR compliant
- Regular security audits
- Penetration testing
Results:
Security Incidents: 0
Payment Fraud: <0.01%
Customer Trust: 9.4/10
Key Success Factors
1. AI-Powered Personalization
The Approach:
Machine learning at core
Behavioral analysis
Real-time recommendations
Continuous learning
Result: 38% of revenue from recommendations
2. Mobile-First Strategy
The Power:
Progressive Web App
Touch-optimized
<2 second load times
Offline capabilities
Result: 68% mobile revenue
3. Conversion Optimization
The Science:
A/B testing everything
Data-driven decisions
Friction elimination
Trust building
Result: 3.5% conversion (vs 2.1% industry avg)
4. Omnichannel Integration
The Strategy:
Unified inventory
Cross-channel fulfillment
Seamless experience
Single customer view
Result: 18% BOPIS orders
Challenges Overcome
Challenge 1: Data Migration
Problem:
Legacy platform data
150,000 orders
45,000 customers
15,000 products
Inconsistent formats
Solution:
Phased migration approach
Data cleansing automation
Validation checkpoints
Parallel systems (30 days)
Zero downtime cutover
Result: 99.8% data accuracy
Challenge 2: Payment Gateway Integration
Problem:
Multiple payment methods
3D Secure compliance
International cards
Digital wallets
Buy now, pay later
Solution:
Payment gateway abstraction layer
Unified API
Fallback mechanisms
PCI compliance
Fraud prevention
Result: 99.9% payment success rate
Challenge 3: Inventory Synchronization
Problem:
Real-time across channels
Stock reservations
Overselling prevention
Multiple warehouses
Solution:
Event-driven architecture
Real-time updates
Reservation system
Safety stock buffers
Intelligent allocation
Result: 99.3% inventory accuracy, zero overselling
Challenge 4: SEO During Migration
Problem:
Maintain search rankings
URL structure change
301 redirects (5,000+)
Content migration
Solution:
Comprehensive redirect mapping
SEO-friendly URLs
Schema markup
Content optimization
Gradual rollout
Result: Maintained rankings, +34% organic traffic
Investment & ROI
Development Investment:
Discovery & Strategy: $28,000
UX/UI Design: $45,000
Frontend Development: $95,000
Backend Development: $118,000
AI/ML Development: $58,000
Integration Development: $52,000
Testing & QA: $38,000
Migration & Launch: $32,000
Total: $466,000
Ongoing Costs:
Year 1:
Hosting & Infrastructure: $36,000
Payment Processing: Variable (1.8%)
Support & Maintenance: $58,000
Total Year 1: $560,000
Year 2+:
Annual Maintenance: $94,000
ROI Analysis:
Total Investment: $560,000
Year 1 Impact:
Revenue Increase: $20M
Gross Margin (40%): $8M
Cost Savings: $4.2M
Total Impact: $12.2M
ROI: 2,079%
Payback Period: 16 days
3-Year Projection:
Total Investment: $748K
Total Impact: $42M
3-Year ROI: 5,513%
Replication Framework
Month 1-2: Strategy & Design
- E-commerce audit
- Customer research
- Competitor analysis
- UX/UI design
- Technical architecture
Month 3-5: Development
- Frontend development
- Backend development
- AI/ML integration
- Payment integration
- Third-party integrations
Month 6-7: Advanced Features
- Personalization engine
- Marketing automation
- Loyalty program
- Analytics setup
Month 8: Testing & Migration
- QA testing
- Performance testing
- Security testing
- Data migration
- User acceptance testing
Month 9: Launch & Optimization
- Soft launch
- Monitoring
- Bug fixes
- Full launch
- Continuous optimization
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