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Modernization of Retail Operations Through Automation and AI Integration

n-ix.com

Retail

eCommerce

Fashion

Challenges in Scaling Operations and System Integration

Rapid acquisitions led to fragmented legacy systems for warehouse management, tax calculations, and manual data processing. This caused data discrepancies, operational inefficiencies, high maintenance costs, and scalability issues during peak sales periods.

About the Client

A global online fashion retailer operating 13 market-leading brands across the UK, Turkey, USA, France, and Italy, specializing in fast-fashion with 36,000+ products.

Key Goals for System Modernization and Automation

Consolidate tax management into a single source of truth for UK import/export compliance
Automate warehouse stock reconciliation across multiple systems
Reduce operational costs via serverless architecture migration
Implement AI-driven fraud detection for transaction security
Optimize database performance for high-load periods (e.g., Black Friday)

Core System Modernization Requirements

Centralized tax management service with HMRC compliance
Multi-warehouse stock reconciliation with real-time tracking
Serverless gift certificate system (AWS Lambda + React UI)
AI-powered fraud detection with real-time transaction analysis
Automated unit testing pipeline via GitHub Actions

Target Technology Stack

Node.js

React

AWS Lambda Functions

DynamoDB

Laravel

AWS Amplify

API Gateway

Critical System Integrations

Legacy warehouse management systems
Third-party studio management software
Amazon Fraud Detector API
HMRC tax compliance APIs

Performance and Compliance Standards

99.99% uptime during peak sales periods
Sub-50ms response time for tax calculation API
PCI-DSS compliance for payment transactions
Auto-scaling architecture for Black Friday-level traffic
Data encryption for GDPR compliance

Expected Business Outcomes

10x reduction in operational costs for gift certificate management, 40% decrease in server CPU load, 2x faster database performance during peak periods, 95%+ accuracy in fraud detection, and elimination of manual data entry errors across warehouse systems.