Aerial view of highway interchange system

Code Modernization – Transportation Company

How a Transportation Company Saved $1.5M Per Year with GeniAI

  • Project timeline cut from 9 months to 10 weeks
  • 70% lower maintenance costs

About

A global leader in the transportation sector, this company manages complex logistics and mobility networks across multiple regions. Facing mounting technical debt and long modernization cycles, they turned to Genium for a faster, more cost-effective path to modern infrastructure.

Challenge

A global transportation company was facing a nine-month backlog to modernize its legacy codebase. Technical debt slowed down feature delivery, raised maintenance costs, and blocked a move to modern infrastructure.

Solution

The GeniAI Platform automated large-scale refactoring, dependency upgrades, and documentation across a multi-language legacy stack (Java, .NET, Python). Using AI-driven static analysis, GeniAI identified redundant code blocks, security gaps, and performance bottlenecks. Refactoring pipelines executed repetitive upgrades automatically, while an embedded senior engineer guided architecture choices, validated complex edge cases, and ensured modern frameworks were applied correctly. This combination of automation plus expert oversight delivered modernization at scale without interrupting ongoing operations.

Technologies used

  • Java
  • .NET
  • Python
  • AI-driven static analysis
  • Automated refactoring
  • Dependency management
  • Security scanning

Results

Annual Savings

$1.5M annual savings in development and maintenance costs through automated modernization.

Timeline Reduction

Project timeline cut from 9 months to 10 weeks with AI-driven automation and expert oversight.

Maintenance Costs

70% lower maintenance costs achieved through comprehensive code modernization and optimization.

Zero Downtime

Modernization delivered at scale without interrupting ongoing operations or business continuity.

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