Jewellery shoppers today face three significant frictions that limit trust, confidence, and purchase conversion. Despite the growing trend of online luxury buying, most users still hesitate before checkout. JewelDivine directly addresses these critical pain points through advanced AI-led personalization, real-time visualization, and authenticity intelligence.

• Fit Anxiety: Users struggle to imagine how jewellery would actually look or fit on their unique face, tone, or personal style, resulting in hesitation and cart abandonment.
• Authenticity Risk: Counterfeit items, poor-quality replicas, and lack of transparency in listings reduce buyer confidence and overall industry credibility.
• Choice Overload: Thousands of similar-looking designs overwhelm shoppers, creating confusion, decision fatigue, and ultimately lower conversions.

JewelDivine’s Goal: To make jewellery discovery a seamless, intelligent, and emotionally engaging journey—transforming it into a visual, trustworthy, and data-driven experience powered by AI.

Our Minimum Viable Product (MVP) focuses on three core AI modules designed to test product-market fit within 60 days of launch.

• AI Selfie Try-On: Real-time jewellery fitting experience with latency below 200ms per render.
• Authenticity AI: Detects fake or misrepresented jewellery using metadata and image consistency checks.
• Taste Graph: Learns from 6–8 preference questions to rank and recommend top 20 designs per user.

Built for validation: Lightweight, testable modules that can scale with retailer partnerships and user feedback.

JewelDivine will validate its model with a pilot program in collaboration with select retail partners. Each metric is chosen to measure user engagement, trust, and AI performance accuracy.

• Pilot Duration: 30–60 days with two verified jewellery retailers.
• Key KPIs: +25% add-to-wishlist, ≥10% try-on to click-through rate, <2% false authenticity flags.
• Privacy: On-device selfie rendering with secure image handling and full opt-out control.
• Trust Feedback: User survey + authenticity confidence scoring integrated into dashboard.

Goal: Demonstrate measurable uplift in user engagement and trust before scaling to full public beta.