AI-Driven Renaissance in the Gems & Jewellery Industry

“Imagine walking into a jewellery store where algorithms know your taste better than you do, where AI scans diamonds for authenticity in seconds, and where every design is born from a perfect blend of human imagination and machine intelligence. Welcome to the future of jewellery—it’s already here.”

Artificial Intelligence is no longer restricted to a particular domain; it has quietly become the invisible engine powering every industry worldwide. From banking and healthcare to logistics and education, AI has transformed the way businesses operate. The Gems and Jewellery sector, traditionally driven by skilled artisanship, is now embracing this wave of innovation. With its $350+ billion global and $30 billion Indian market, jewellery is an industry that thrives on precision, trust, and aesthetics, making it a perfect playground for AI to create lasting impact.

In the last decade, AI has evolved from simple rule-based systems to deep learning, transformers, and multimodal models capable of handling vision, text, and audio simultaneously. Today, real-time decisions are driven by the convergence of cloud computing, edge devices, and self-supervised learning. AI is no longer just a tool; it is a co-pilot for creativity, quality assurance, and supply chain transparency. Luxury sectors like jewellery, which once relied heavily on manual craftsmanship, are entering an era of AI-assisted artistry and trust-building innovation.

Trust is everything in this business. Traditionally, gemstone grading relied on highly skilled gemologists spending hours analysing diamonds and coloured stones. AI is now augmenting this process with CNN and Vision Transformer models trained on millions of high-resolution gemstone images. Advanced hyperspectral imaging and Raman spectroscopy, paired with AI algorithms, can differentiate between treated and natural stones with remarkable accuracy. Fraud detection powered by anomaly detection models helps safeguard against counterfeit certifications, ensuring that every purchase comes with verified provenance.

Design is the heartbeat of the jewellery industry, and AI is taking it to new heights. StyleGANs, diffusion models, and AI-assisted CAD tools are allowing designers to create unique, one-of-a-kind pieces tailored to evolving consumer tastes. Social media sentiment analysis and visual trend detection feed AI fashion forecasting models, helping brands stay ahead of the curve. What was once a slow, iterative design process has now become dynamic, data-driven, and personalised.

“Artificial Intelligence isn’t just transforming industries—it’s redefining them. For centuries, jewellery has been a story of heritage, artistry, and trust. Today, AI steps in not as a disruptor but as a co-creator, bringing unmatched precision, transparency, and personalization to a $350+ billion global industry. The sparkle of tomorrow lies not only in gemstones, but in the intelligence shaping how we design, authenticate, and experience them.” – Dr. Utpal Chakraborty

Today’s consumer wants to see, feel, and experience jewellery before purchasing, even in the digital world. AI-powered virtual try-ons leverage face and hand landmark detection to place rings, earrings, and necklaces with life-like precision. LIDAR-enabled smartphones, combined with GAN-powered realism enhancement, allow customers to “try on” jewellery virtually from the comfort of their homes, bridging the gap between offline luxury and online convenience.

As customers become more conscious about where their purchases come from, ethical sourcing is no longer optional. AI and blockchain work hand-in-hand to create an end-to-end traceability network. Smart contracts validate transactions, while AI models flag potential risks of conflict diamonds or unethical practices. This builds consumer trust, safeguards brand reputation, and aligns the industry with global sustainability goals.

AI-driven forecasting is revolutionising how jewellery businesses manage inventory, pricing, and demand. Temporal Fusion Transformers can predict seasonal trends and demand fluctuations, while reinforcement learning agents suggest optimal inventory rebalancing strategies. Customer segmentation models enable hyper-personalisation, ensuring that the right designs reach the right customers at the right time.

While Large Language Models (LLMs) like GPT 4 dominate the headlines, Small Language Models (SLMs) are emerging as powerful, cost-effective solutions for industries like jewellery. Models like GAHNA, built specifically for India’s unique language, cultural and business context. GAHNA can run on low-resource devices, making it accessible to small retailers and artisans. From answering customer queries in vernacular languages to generating sales insights and automating inventory updates, SLMs offer industry-specific intelligence at a fraction of the cost of LLMs, bringing AI to every corner of the jewellery value chain.

Technology should not just serve large corporations; it should uplift artisans and small retailers too. Platforms like VidyaAI are personalising gemology education, offering quizzes, real-time feedback, and design training in regional languages. By deploying AI tools on mobile and edge devices, we’re bringing world-class innovation to rural artisans, ensuring India’s jewellery heritage thrives in the digital age.

The jewellery industry is experiencing a renaissance driven by AI. From the artistry of design to the science of authentication and the ethics of sourcing, AI is bringing transparency, creativity, and intelligence to an age-old craft. India, with its deep heritage and technological expertise, has the opportunity to lead this revolution globally.

Author: Dr. Utpal Chakraborty
Co-Founder & CTO, IndiqAI; Founder and Chief Scientist, GAHNA Model Factory(ExorionAI)