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Conceptual analysis demonstrates information loss across sequential bespoke jewellery workflows, suggesting integrated AI and augmented reality platforms can unify design and manufacturing pipelines.
This technical white paper introduces the Interpretation Cascade, a structural framework for understanding information loss in bespoke jewellery workflows where customer requirements pass through multiple sequential human handoffs. It examines how customer intent can be altered between consultation, design, CAD modelling and manufacturing, and proposes that conventional approaches such as training, documentation and quality assurance can reduce but not eliminate this structural problem. The paper presents OrnaNext, a collaborative AI, augmented reality (AR), 3D and cloud-based platform designed to replace this sequential workflow with a single, continuously updated and customer-confirmed digital specification. The proposed system connects customers, sales consultants, designers and manufacturers through three integrated modules covering digital catalogue and onboarding, interactive design and customisation, and the manufacturing pipeline. The paper examines the commercial and technological conditions that have made this approach increasingly feasible, including advances in jewellery-specific generative AI, reductions in AI infrastructure costs, and the growing use of AR and 3D technologies in retail. It also compares OrnaNext with existing jewellery technology solutions and identifies the gap between customer-facing customisation tools and end-to-end manufacturing integration. The paper is a conceptual analysis grounded in academic literature, industry research and the authors' product architecture and market analysis. It does not present primary empirical research, and explicitly identifies the need for retailer pilots and future jewellery-specific data to validate the proposed framework and quantify its impact.
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Muhammad et al. (2026) studied this question.
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