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Optimization and Scalability Enhancement for Flight Refund Claim Management System
  1. case
  2. Optimization and Scalability Enhancement for Flight Refund Claim Management System

Optimization and Scalability Enhancement for Flight Refund Claim Management System

altoroslabs.com
Transportation
Information technology
Business services

Identified Challenges in Legacy Flight Claim Processing Systems

The client operates a claim management system built on outdated legacy technology, resulting in data processing errors during claim validation steps and slow website performance. The legacy system handles flight data, weather information, and other critical validation points inefficiently, impacting timely customer service. Additionally, integration with external weather data services is deprecated, further complicating data accuracy and compliance. The slow website load speed hampers search engine visibility and user experience.

About the Client

A global airline or air travel platform managing passenger claims and refunds that requires system modernization to improve data processing accuracy and performance.

Goals for Improving Flight Refund Claim Systems

  • Resolve data processing errors at each of the 13 validation steps to ensure accurate claim assessments.
  • Enhance system reliability and maintain compliance with relevant regulations (e.g., European Regulation 261/2004).
  • Improve website load speed by at least 2.5 times to strengthen SEO and user engagement.
  • Modernize external data integrations, including weather data services, to ensure data accuracy and system stability.
  • Implement comprehensive automated testing for system robustness and continuous quality assurance.
  • Enable the system to efficiently process claims for up to 15,000 users annually.

Core Functional System Requirements for Claim Validation Platform

  • Faultless aggregation of flight data, including flight number, departure and arrival times, and incident details.
  • Validation logic to check claim eligibility based on airline data, flight delays or cancellations, and regulatory compliance.
  • Integration with external weather data services with fallback mechanisms to handle deprecation or outages.
  • Multi-stage validation process with error detection and correction capabilities at each of the 13 validation steps.
  • Optimizations for web asset delivery, including lazy content loading and content distribution network (CDN) integration to accelerate website loading times.
  • Automated testing suite using tools like Selenium to ensure system stability and accuracy.

Technology Stack Preferences for System Development

Cloud platform deployment (e.g., Heroku, AWS)
Web development using Ruby on Rails, JavaScript, HTML, CSS
Content Delivery Network (CDN) integration for asset optimization
Content lazy loading techniques for improved front-end performance
Automated testing with Selenium

External System Integrations for Data Verification and Enhancement

  • External flight data services for real-time flight information
  • Weather data providers to replace deprecated weather APIs
  • Regulatory compliance verification systems

Critical Non-Functional System Attributes

  • System must process up to 15,000 claim records annually with high accuracy.
  • Website load time should be improved by a factor of 2.5x, achieving optimized SEO performance.
  • System must operate reliably with minimal errors across all validation steps.
  • High system availability and fault tolerance during external data disruptions.
  • Rigorous automated testing coverage to prevent regressions.

Expected Business Outcomes from System Modernization

By implementing the proposed system enhancements, the client is projected to improve claim validation accuracy, significantly reduce processing errors at each validation step, and increase website loading speed by at least 2.5 times. This will enhance user experience, preserve leading search engine rankings, and support the processing of up to 15,000 claims per year, enabling timely compensation for passengers affected by flight delays or cancellations.

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