Luxury Intelligence

Luxury and jewellery brands are about to face a data drought just as AI-driven commerce hits the mainstream. Amazon’s Alexa for Shopping is not just a voice assistant, it’s a data flywheel: every interaction trains models on proprietary customer intent, while Wirestock’s $23M raise signals that AI labs are racing to lock up exclusive creative assets for model training. Meanwhile, Anthropic’s Claude now writes 90% of the company’s code, showing how quickly AI can reshape workflows when fed the right data. The objection is that public data is still abundant, but the value is shifting to what only you can access or generate.

For luxury and jewellery, this means the era of relying on third-party data or generic AI tools is closing fast. M&S’s £67.5m investment in automated distribution shows how operational edge now depends on unique, integrated data flows. Zero-party data, direct from quizzes, preference centers, or in-store experiences, will soon be the only way to train models that actually move high-value customers. Waiting risks being locked out of the next wave of AI-powered retail.

In the next quarter, I would start building proprietary datasets from every touchpoint: clienteling, aftercare, even boutique events. Make every interaction an opportunity to collect explicit preferences, not just transactions. The brands that own their data will own the future of luxury commerce.