Portfolio / AI Feature Case Study
AI-Powered Tea Finder for Just Camellia
A guided AI-powered product recommendation experience designed to help customers find the right herbal tea blend based on their goals, preferences, and wellbeing needs.
Project overview
As Just Camellia’s tea range expanded, customers needed a faster and more intuitive way to discover the right blend for their needs. Netzalive designed and implemented a branded Tea Finder experience that guides shoppers toward suitable products based on goals such as sleep, digestion, energy, immunity, detox, and general wellness.
Instead of leaving customers to browse multiple tea pages with uncertainty, the Tea Finder creates a guided journey from intent to recommendation—reducing friction and moving users more confidently toward purchase.
Problem statement
Just Camellia offers a growing range of herbal blends and single-ingredient teas, each with different flavour profiles and wellness positioning. Customers arriving on the site often know how they want to feel—such as more relaxed, less bloated, or more energised—but do not always know which product to choose.
This created a product discovery challenge: too much choice, limited guidance, and a risk of hesitation at the point of purchase.
Solution
Netzalive built a custom AI-powered Tea Finder directly into the Just Camellia homepage. The tool allows users to select a goal, add flavour or ingredient preferences, indicate any sensitivities, and receive a tailored tea recommendation with a clear explanation, brewing guidance, safety note, and direct link to shop.
What Netzalive delivered
- Discovery and UX design for an AI-assisted buying journey
- Custom WordPress plugin development for the Tea Finder
- AI prompt and recommendation logic tailored to Just Camellia’s product catalogue
- Compliance-aware structure to avoid medical claims while keeping advice useful
- Dynamic WooCommerce product linking using product IDs rather than fragile URLs
- Custom branded interface aligned with the Just Camellia visual identity
- Fallback recommendation logic to maintain functionality if AI output is unavailable
Key features
- Goal-led recommendation flow for sleep, digestion, energy, immunity, detox, and wellness
- Preference matching for flavour and ingredient cues
- Customer safety prompts for pregnancy, medication, and allergies
- Structured recommendation output with benefits and how-to-enjoy guidance
- Shop-now CTA linked directly to the relevant WooCommerce product
- Responsive design optimised for homepage placement and mobile browsing
Outcomes
- Reduced decision fatigue for first-time shoppers
- Improved product discovery across a growing tea catalogue
- Stronger bridge between customer intent and product selection
- More personalised shopping experience without overcomplicating the journey
- Scalable structure for adding future blends and recommendation paths
Performance data, click-through rates, and recommendation usage metrics can be added over time as the feature matures.
Why this matters
This case study shows how AI can be used practically in eCommerce—not as a gimmick, but as a conversion-focused product discovery tool. For wellness brands especially, the challenge is not only selling products, but guiding customers with clarity, trust, and restraint. Netzalive’s approach balanced personalisation, UX, technical implementation, and responsible messaging in a single customer-facing feature.
Screens & highlights
Tea Finder Interface
AI-powered recommendation tool embedded on the Just Camellia homepage.
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