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Development of an AI-Powered Shoppable Video Platform with Microservices Architecture and Multi-Channel Integrations

itransition.com

eCommerce

Media

Retail

Challenges in Scaling Shoppable Video Platform

Legacy monolithic architecture with uncontrolled service dependencies, technical debt from outdated libraries, lack of cloud infrastructure, and difficulty integrating new AI/ML capabilities for product recognition across 1.5M+ images. High operational costs and slow feature delivery due to inefficient development processes.

About the Client

A US-based leader in shoppable media technology offering an interactive video ecommerce platform using AI/ML and overlay technologies

Objectives for Platform Modernization

Migrate from monolithic architecture to cloud-native microservices
Implement AI/ML-powered product recognition system with retraining capabilities
Optimize development processes using Agile methodologies
Enhance platform scalability for global market expansion
Integrate seamless payment and analytics systems

Core Platform Capabilities

In-video product recognition and overlay system
Customizable hotspots and cue points for interactive elements
Multi-channel checkout integration (Shopify, Magento, Stripe)
Lead generation forms and linkout capabilities
Real-time analytics dashboard for engagement metrics
Smart store linking and recommendation engine

Technology Stack Requirements

AWS cloud infrastructure

Microservices architecture (Node.js, Python)

React.js frontend framework

RabbitMQ message broker

TensorFlow/PyTorch for ML models

Video.js integration

Third-Party System Integrations

Shopify and Magento ecommerce platforms
Stripe payment gateway
Salesforce Commerce Cloud
JW Player and Video.js video players
AR application frameworks

System Quality Attributes

Horizontal scalability for 10M+ concurrent users
99.99% system availability SLA
Real-time processing of video analytics
GDPR-compliant data security measures
Automated CI/CD pipeline with blue/green deployment

Expected Business Outcomes

30% reduction in feature delivery costs through Agile optimization, 2.5x increase in development productivity, and support for 2.5M+ product recognitions. Enhanced platform scalability enabling 12 independent environments with 30+ microservices, while maintaining legacy system compatibility during transition.