Case Study: a leading retailer improves SDLC speed and quality with Cybage's GenAI-enabled engineering framework

Leading Retailer reduces boilerplate coding time by 15% with Cybage

The client, a leading e-commerce retailer specializing in automotive parts, aimed to transform its software engineering with a more structured, intelligent model to enhance speed, quality, and coordination. They engaged Cybage to implement an enterprise Generative AI solution to provide end-to-end SDLC support, accelerate development, and improve product quality.

Cybage implemented a structured GenAI-enabled SDLC framework featuring AI-driven code generation, automated code comparison, and AI-assisted pull request reviews. This solution delivered a 15% reduction in boilerplate coding time, improved code consistency, increased review velocity, and lowered defect rates, significantly accelerating development cycles and strengthening product quality for the retailer.