Integrations
| Source | Stack |
|---|---|
| Public (caroma.com/nz scan) | commercetools, Frontastic, Algolia, Segment, GTM, Cloudflare, Adobe Experience Cloud |
| Engineering | Next.js PLP optimization, AI recommendation engines, Datadog |
Optimizing Caroma's E-commerce Experience
Working on Caroma's sanitary & plumbing platform, I optimized PLP performance on commercetools + Frontastic + Next.js, with Algolia search and Segment analytics — plus AI-driven recommendations.
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.
