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Development of AI-Powered Visual Commerce App with Social Media Integration for Millennial Users

fluxitsoft.com

eCommerce

Information technology

Consumer products & services

Challenge in Creating Intuitive Visual Commerce Experience

Need to enable millennial users to seamlessly purchase products detected via photos from cameras or social networks through a simplified 3-tap process while maintaining engagement and accuracy.

About the Client

AI-driven visual commerce platform enabling photo-based global product purchases

Key Goals for Platform Development

Design an intuitive UX/UI centered on object detection from images
Implement AI-driven product recognition integration with social media platforms
Create a streamlined 3-tap purchase workflow optimized for mobile users
Ensure global commerce compatibility across diverse product catalogs

Core System Capabilities

Real-time object detection from camera/social media feeds
AI-based product matching and recommendation engine
Integrated social sharing and collaboration tools
3-tap secure checkout with global payment support
Cross-platform synchronization with social networks

Technology Stack Requirements

TensorFlow/PyTorch for AI image recognition

React Native for cross-platform mobile development

Cloud-based image processing infrastructure

GraphQL API for data synchronization

External System Integrations

Social media platform APIs (Instagram, Facebook, Pinterest)
Global payment gateways (Stripe, PayPal)
Cloud storage services (AWS S3)
Analytics platforms (Google Analytics, Mixpanel)

System Quality Attributes

Sub-200ms image recognition response times
99.9% uptime for core services
GDPR-compliant data handling
Scalable architecture for 10M+ concurrent users
Multi-language and currency support

Anticipated Business Outcomes

Projected 40% increase in conversion rates through visual commerce, 60% faster checkout process, and 25% higher user engagement metrics by enabling seamless social-to-purchase journeys with AI-enhanced product discovery.