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Development of a High-Performance Search Engine for Luxury Retail E-commerce Platform

n-ix.com

Retail

eCommerce

Business Challenges in Online Shopping Experience

The client's legacy search engine suffered from poor speed, low accuracy, and limited customization capabilities. This resulted in suboptimal product discovery, reduced customer conversion rates, and inability to adapt to evolving business needs, directly impacting online sales performance.

About the Client

A global leader in luxury retail, offering exclusive clothing, accessories, and home products across 100+ countries with a strong omnichannel presence

Strategic Project Goals

Implement a highly accurate and responsive search solution for luxury product discovery
Enhance customer conversion rates through improved search relevance
Enable flexible configuration capabilities for business users
Accelerate time-to-market for search functionality improvements

Core System Requirements

Autocomplete functionality with contextual suggestions
Synonym recognition and query expansion
Dynamic filter metadata generation
Image-text semantic matching via CLIP neural network
Real-time product availability updates
Configurable search phrase-to-product mappings

Technology Stack Requirements

Elasticsearch

Scala

Ruby

AWS

Redis

Apache Spark

Docker

CircleCI

System Integration Requirements

Legacy product databases
Warehouse inventory systems
Preorder management platforms
CI/CD pipeline infrastructure
Performance monitoring tools

Non-Functional Requirements

Sub-100ms search response times
99.99% system availability
Horizontal scalability for traffic spikes
Real-time data synchronization every 5 minutes
Automated performance testing framework

Expected Business Outcomes

Implementation of the intelligent search platform is projected to significantly enhance customer experience through faster and more accurate product discovery, drive measurable increases in online sales conversion rates, and provide business teams with self-service configuration capabilities to rapidly adapt to market trends while maintaining 100% product categorization accuracy and real-time inventory visibility.