A closer look at how DevoxLabs ships measurable outcomes across high-performance e-commerce, AI & data integrations, and resilient full-stack architectures.
Faced with a sluggish legacy platform that resulted in high mobile bounce rates, DevoxLabs engineered a high-performance Next.js storefront. We improved Core Web Vitals to green, achieving an 85% reduction in page load time and driving a 30% increase in mobile conversion rate within the first quarter. This project leveraged SSG, ISR, and edge deployment best practices.
A global logistics provider struggled with complex, unstructured customs data. DevoxLabs designed an AI pipeline that utilizes the Gemini API and Vector Stores to classify, summarize, and integrate customs documentation. The solution cut data processing time by 40% and reduced manual errors by 55%, saving thousands in operational costs.
A fintech client needed to scale and stabilize their core application. We executed a full migration from a brittle PHP monolith to a resilient, fully-typed Node.js/TypeScript microservices architecture with full CI/CD. This resulted in a 99.99% uptime guarantee and increased engineering velocity by 3x due to the confidence provided by extensive E2E testing.
A corporate portfolio managing multiple digital brands faced inconsistent UI and slow development cycles. DevoxLabs built a centralized, component-driven Design System in React/TypeScript. This system achieved 100% UI consistency across all five products and resulted in a 60% faster turnaround time for new feature development.
An online marketplace struggled with generic product suggestions. We implemented a personalized recommendation engine using user history and in-session data, powered by the Gemini API for contextual analysis. The result was a 25% increase in Average Order Value (AOV) and a 15% increase in session engagement.
A subscription service had a leaky checkout funnel with 70% cart abandonment. We re-engineered the checkout flow with a simplified, single-page UI, implemented A/B testing frameworks, and optimized data validation. This reduced the overall cart abandonment rate to 45% and recovered over $1.2 million in annual projected revenue.