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Web Performance Optimization and System Integration for Online Retail Platform
  1. case
  2. Web Performance Optimization and System Integration for Online Retail Platform

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Web Performance Optimization and System Integration for Online Retail Platform

itransition.com
Retail
eCommerce
Business services

Current System Challenges

The platform suffers from significant technical debt, slow indexing speed (Apache Solr), frequent HTTP 404 errors, price caching failures, and inefficient search functionality. Additional challenges include unsynchronized geographically distributed teams, lack of workflow visibility, poor documentation practices, and checkout process failures impacting customer experience.

About the Client

Large online retail chain with 90K+ products, serving corporate clients through multiple logistic centers using SAP Commerce platform

Key Project Goals

  • Reduce technical debt by 30%
  • Double Apache Solr indexing speed
  • Decrease HTTP 404 errors by 90%
  • Implement robust price caching mechanism
  • Optimize search functionality (autocomplete, synonym search)
  • Establish synchronized workflows across distributed teams
  • Implement comprehensive documentation system

Core System Requirements

  • Apache Solr indexing optimization
  • Real-time price caching mechanism
  • Faceted search error correction
  • Autocomplete/synonym search optimization
  • Distributed team workflow synchronization
  • Continuous integration/continuous deployment (CI/CD) pipeline
  • Checkout process error resolution

Technology Stack

SAP Commerce (Hybris)
Apache Solr
REST API
SOAP
Jenkins CI
Atlassian Jira
Checkstyle

System Integrations

  • ERP systems via SAP PI
  • CRM platforms
  • Payment processing gateways
  • Analytics collection tools
  • Email marketing platforms
  • Geolocation services

Non-Functional Requirements

  • High system availability (99.9% uptime)
  • Scalable architecture for 100K+ product catalog
  • Response time under 2 seconds for search operations
  • Secure handling of payment processing
  • Automated code quality verification

Expected Business Impact

Improved customer experience through faster search and checkout processes, reduced operational costs from automated caching and error reduction, increased sales conversion through reliable product discovery, enhanced team productivity with synchronized workflows, and better long-term maintainability through technical debt reduction and documentation improvements.

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