Optimizing Caroma's E-commerce Experience
Working on Caroma's e-commerce platform, I focused on optimizing Product Listing Pages (PLP) and overall site performance using Commercetools for the backend and Next.js for the frontend. The integration of Algolia for search and AI engines for recommendations and analytics significantly enhanced the user experience.
Technologies used
Next.js, Commercetools, Algolia, AI Engines for Recommendations and Analytics
Challenge
The primary challenge was to enhance the performance of Caroma's e-commerce platform, particularly the PLP pages, using Next.js and Commercetools. This involved optimizing data fetching, improving page load times, and integrating Algolia for efficient search capabilities. Additionally, implementing AI-driven recommendation and analytics engines required careful planning to ensure seamless integration and valuable insights.
Solution
- Leveraged Next.js features like server-side rendering (SSR) and static site generation (SSG) to improve page load times and performance.
- Integrated Algolia for fast and relevant search results, enhancing user navigation and experience.
- Implemented AI engines for personalized recommendations and analytics, providing insights into user behavior and preferences.
- Conducted performance tuning and optimization of PLP pages to ensure a smooth and responsive user experience.
- Collaborated with cross-functional teams to align development efforts with business goals and user needs.
The successful optimization of Caroma's e-commerce platform has positioned the brand for continued growth and innovation in the sanitary and plumbing industry.
