Jewelry Retailer – Application Modernization
AI-accelerated migration from Delphi and COBOL to Java
- Modernized Java application code
- GenAI- and tool-assisted migration approach
- Application modernization
- Legacy code migration
- Java
- Generative AI and conversion tools
Project Overview
A jewelry retailer needed to modernize legacy Delphi and COBOL applications. By applying generative AI and conversion tools, the legacy codebase was migrated into Java faster than in-house or third-party teams could deliver.
The Challange
- Existing applications built in Delphi and COBOL
- Required migration to a modern Java stack
- Traditional in-house or vendor-led migrations were slower
Our Solution
Used generative AI alongside code conversion tools to accelerate conversion of Delphi and COBOL code into Java, achieving a faster migration timeline than in-house or third-party teams.
Features:
- AI-guided code conversion from Delphi and COBOL to Java
- Use of specialized conversion tools to speed delivery
- Delivery pace exceeding in-house and 3rd-party alternatives
The Results
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Faster case completion
Staff adoption in 2 weeks
Reduced task duplication
Annual cost saving through improved efficency
The Results
- Migration speed: Faster than in-house or 3rd-party teams
- Legacy languages: Delphi and COBOL
- Target language: Java
- Approach: Generative AI + conversion tools
Summary
Focus Area
Project Overview
A jewelry retailer needed to modernize legacy Delphi and COBOL applications. By applying generative AI and conversion tools, the legacy codebase was migrated into Java faster than in-house or third-party teams could deliver.
The Challange
- Existing applications built in Delphi and COBOL
- Required migration to a modern Java stack
- Traditional in-house or vendor-led migrations were slower
Our Solution
- Existing applications built in Delphi and COBOL
- Required migration to a modern Java stack
- Traditional in-house or vendor-led migrations were slower
The Impact
The retailer achieved a quicker path to Java-based applications, accelerating modernization timelines compared to internal or vendor-led efforts.
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