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Automated Competitive Intelligence Platform for Automotive Industry
  1. case
  2. Automated Competitive Intelligence Platform for Automotive Industry

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Automated Competitive Intelligence Platform for Automotive Industry

deltologic.com
Automotive
Manufacturing
Information technology

Competitive Market Intelligence Challenges

Difficulty in obtaining real-time pricing, product features, and market trends from competitors due to complex website structures, IP blocking mechanisms, and the need to process massive datasets across multiple domains.

About the Client

Fortune 500 company specializing in integrated drivetrain and propulsion systems

Strategic Intelligence Enhancement Goals

  • Implement automated web scraping solution for competitor pricing analysis
  • Develop real-time market intelligence pipeline
  • Create standardized data aggregation system
  • Enable predictive analytics capabilities for market trends

Core System Capabilities

  • 25+ custom web scrapers with dynamic form handling
  • ETL pipeline for data standardization and aggregation
  • Cloud-based data warehouse integration
  • Interactive analytics dashboard with trend visualization
  • IP rotation and proxy management system

Technology Stack Requirements

Python (Scrapy, Selenium)
AWS Cloud Infrastructure
ETL Tools (Apache Airflow)
Data Visualization (Tableau/Power BI)
Proxy Management Systems

System Integration Needs

  • Client's internal pricing database
  • Cloud storage solutions (AWS S3)
  • Existing analytics tools
  • Security monitoring systems

Operational Requirements

  • Support for 250+ concurrent crawlers
  • Data processing latency <24 hours
  • 99.9% system uptime
  • Compliance with robots.txt and website terms
  • Scalable architecture for 10M+ data records

Expected Business Outcomes

Enables data-driven pricing strategies, accelerates competitive analysis by 80%, improves market trend response time, and provides actionable insights for product development and strategic decision-making in the automotive sector.

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