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Enhancement of Online Retail Platform with Big Data and Mobile Solutions
  1. case
  2. Enhancement of Online Retail Platform with Big Data and Mobile Solutions

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Enhancement of Online Retail Platform with Big Data and Mobile Solutions

kandasoft.com
Retail
eCommerce

Key Challenges Identified

The client faced significant challenges due to lack of documentation for internally developed applications and third-party integrations, as well as difficulties in establishing QA automation processes due to missing test cases and tracking mechanisms.

About the Client

A premium online retail platform offering exclusive products with a focus on fashion, beauty, and lifestyle content

Strategic Goals

  • Establish comprehensive documentation for system architecture and integrations
  • Implement robust QA automation framework with test coverage tracking
  • Enhance CRM management capabilities through Big Data analytics
  • Support continuous expansion of mobile and digital services

Core System Requirements

  • Mobile applications for iOS and Android platforms
  • Big Data analytics platform integration
  • CRM system enhancement with customer behavior tracking
  • Automated QA test coverage dashboard

Technology Stack

Big Data technologies (Hadoop/Spark)
Mobile development frameworks
QA automation tools (Selenium/Appium)
Cloud infrastructure solutions

System Integrations

  • Third-party analytics tools
  • Payment gateway APIs
  • Inventory management systems
  • Customer engagement platforms

Performance Requirements

  • High-availability architecture
  • Scalable data processing capabilities
  • Cross-platform mobile compatibility
  • Enterprise-grade security protocols

Expected Business Outcomes

Improved operational efficiency through automated QA processes, enhanced customer insights via advanced analytics, and increased market reach through optimized mobile platforms, supporting sustained business growth and service diversification.

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