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Enhanced Digital Asset Management Platform with AI-Driven Features

wearenotch.com

Retail

eCommerce

Information technology

Client Challenges

Need to develop new features, expand microservices, maintain system integrity, and incorporate user feedback while ensuring scalability, security, and seamless integration across global environments.

About the Client

Cloud-based platform specializing in Digital Asset Management for product content, serving 20,000+ global companies

Project Goals

Implement AI-driven features for data extraction from digital assets
Enhance security through Mime Type whitelisting and stricter password policies
Migrate DAM services to Google Cloud Platform for optimized asset management
Improve system stability and scalability with refined DQX dataflow architecture
Integrate user feedback mechanisms for continuous improvement

Core Functionalities

AI-powered metadata extraction from images
Customizable user consent management for cookies
Real-time GDSN and API data sharing with trading partners
Enhanced reporting with personalized export options
Secure asset handling with Mime Type validation

Technology Stack

Java

Docker

Primefaces

Google Cloud Platform

PostgreSQL

System Integrations

GDSN (Global Data Synchronization Network)
YouTube API
HubSpot
LinkedIn Analytics
Facebook Pixel

Non-Functional Requirements

High scalability for global user base
Enterprise-grade security compliance
99.9% system uptime SLA
Cross-platform performance optimization
GDPR-compliant data handling

Expected Business Impact

Enables 20% faster asset processing through AI automation, reduces security vulnerabilities by 40%, improves system scalability for 500k+ concurrent users, and enhances user satisfaction through personalized features and seamless global data exchange.