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AI-Powered Data Engineering Platform Enhancement with Staff Augmentation
  1. case
  2. AI-Powered Data Engineering Platform Enhancement with Staff Augmentation

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AI-Powered Data Engineering Platform Enhancement with Staff Augmentation

newxel.com
Advertising & marketing
Information technology

Current Challenges in Talent Acquisition and Technical Scalability

Difficulty scaling data engineering teams with niche Scala expertise while maintaining technical excellence and team cohesion. Need to enhance AI/ML capabilities for real-time pricing optimization and advertising campaign management across multiple marketplaces.

About the Client

AI-first optimization and intelligence platform for e-commerce marketplaces

Strategic Development Goals

  • Expand data engineering capabilities with rare technology stack expertise
  • Implement advanced AI/ML algorithms for dynamic pricing optimization
  • Enhance cross-platform integration with major e-commerce marketplaces
  • Improve team retention through structured feedback mechanisms

Core System Capabilities

  • Real-time marketplace data analytics dashboard
  • Automated pricing optimization engine
  • AI-powered advertising campaign manager
  • Cross-platform integration framework for e-commerce APIs
  • Collaborative team feedback and performance tracking system

Technology Stack Requirements

Scala
Java
AI/ML frameworks
Big Data platforms

System Integration Needs

  • Amazon Marketplace API
  • Walmart Marketplace API
  • eCommerce platform SDKs

Operational Requirements

  • High-throughput data processing
  • Low-latency algorithm execution
  • Enterprise-grade security protocols
  • Scalable cloud infrastructure

Expected Business Outcomes

Projected 40% improvement in pricing optimization accuracy, 25% reduction in team onboarding time, and 30% increase in cross-platform advertising campaign efficiency. Enhanced capability to process 10M+ daily transactions across multiple marketplaces.

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