AI- Powered Personalidation at the Tap

From generic landing pages to one-to-one conversations

Today’s NFC tap typically delivers the same experience to every owner of a given product, a brand story, an authentication confirmation, a warranty page. Tomorrow’s tap will be personalised to the specific individual, the specific moment, and the specific context of the interaction: how long they have owned the product, where they are, what content they engaged with last time, what service events are due.

Machine learning models trained on scan frequency, location patterns, ownership duration, and content engagement will determine what each owner sees at each tap making the NFC experience as contextually intelligent as a skilled client advisor. A customer who has owned the piece for three years and never booked a service sees a different experience from someone who tapped for the first time yesterday.

Brand implication: The quality of the AI personalisation is directly dependent on the richness of the historical scan data. Brands that start collecting now will have the training data that makes this possible. Brands that start later will face a cold-start problem that takes years to overcome.
Digital Product Passports Become Mandatory

Compliance built in or paid for separately

The EU Digital Product Passport regulation is not a future possibility it is a near-term legal reality. From 2026, DPPs are being phased in across batteries, textiles, electronics, and construction products. Luxury fashion, leather goods, cosmetics, and jewellery follow. By the end of the decade, most product categories sold in the EU will require a structured digital record containing materials, manufacturing origin, sustainability data, and repair information accessible to consumers, regulators, and recyclers.

For brands with existing connected product infrastructure, DPP compliance is essentially a reporting interface built on data they are already collecting. For brands without it, compliance means building the entire traceability stack under regulatory pressure, on a deadline, without the years of historical data that make the passport meaningful rather than merely populated.

Brand implication: Every year of delay in connected product adoption increases the cost and complexity of DPP compliance. Brands that treat traceability infrastructure as a regulatory investment now will find compliance is a by-product. Those that wait will pay for both the infrastructure and the catch-up simultaneously.
Connected Products as Circular Economy Infrastructure

Traceability makes circularity measurable

The circular economy in luxury resale, repair, rental, upcycling, take-back is growing rapidly, driven by consumer demand and regulatory obligation simultaneously. But circularity without traceability is largely unverifiable. A brand claiming that its products are designed for repair and resale is stating an intention. A brand whose products carry a digital identity that records every repair, every ownership transfer, and every end-of-life event is providing evidence.

Connected products become the infrastructure through which circular business models operate at scale. The NFC tap that initiates a resale ownership transfer, the scan that registers a product for a take-back programme, the service record that enables a pre-owned certification each is a connected product interaction that makes the circular lifecycle operational rather than aspirational.

Brand implication: Brands that launch circular programmes without connected product infrastructure are dependent on manual verification at every step — expensive, inconsistent, and unscalable. Connected products make circular business models as operationally efficient as primary retail.
The Secondary Market Becomes Brand-Controlled
Resale as a relationship channel, not a brand blind spot

The global luxury resale market is growing faster than primary luxury and it will continue to do so. The brands that will lead in this market are not necessarily those with the most heritage, but those whose products carry a digital identity that makes them verifiably authentic, provenance-complete, and brand-engaged regardless of how many times they change hands.

The future of connected products in resale is a market where every secondary transaction is a brand interaction a new owner welcomed, a certificate of ownership transferred, a service history disclosed, a new relationship begun. The product becomes the acquisition vehicle for secondary market customers at zero additional marketing cost. Brands that deploy connected products now are building the infrastructure for a resale revenue model that does not yet exist in most companies’ P&Ls.

Brand implication: Secondary market buyers who receive a brand welcome through an NFC experience are significantly more likely to visit primary retail. Connected products are the lowest-cost customer acquisition channel available to luxury brands — and it is built into the product itself.
The End of Third-Party Data Dependency
First-party product data as the competitive moat

The deprecation of third-party cookies, the tightening of platform data sharing, and the growing regulatory restrictions on behavioral advertising are steadily eliminating the data infrastructure that most luxury brands’ digital marketing has depended on. The brands that will navigate this transition most effectively are those that have built direct, first-party data relationships with their customers linked not to a website visit or an email open, but to a physical product interaction.

Connected product data is structurally superior to browser-based behavioral data for luxury purposes: it is linked to actual ownership, not inferred from browsing; it is tied to specific high-value products, not general category interest; and it accumulates across the product’s entire lifecycle rather than expiring after a session. As third-party data becomes harder to source, connected product first-party data becomes more competitively differentiated.

Brand implication: The connected product data collected today is a hedge against the degradation of third-party data sources. Brands building first-party product interaction data now will have the intelligence infrastructure to personalise, target, and retain customers in a world where platform data is no longer available.
From Passive to Intelligent Products
Products that initiate, not just respond

The current connected product paradigm is reactive: the customer taps, the brand responds. The next generation will be proactive: products that surface to the brand when something worth acting on has happened, without requiring the customer to initiate the interaction. A watch whose movement has exceeded the recommended service interval. A leather bag that has been scanned in a location inconsistent with its ownership record. A fragrance approaching its optimal use period based on purchase date.

As scan intelligence models mature and connected product datasets grow larger, the signal-to-noise ratio improves to the point where the system can reliably distinguish normal ownership behavior from anomalies worth acting on surfacing them to brand teams, service networks, or the customer themselves, depending on the nature of the signal. The product becomes a participant in its own management rather than a passive object waiting to be scanned.

Brand implication: Proactive connected product intelligence requires years of baseline behavioral data to function effectively. Brands deploying NFC now are building the training dataset that makes this possible. The sophistication of future AI models will be directly limited by the richness of the historical data they can access.

.css-1az3ztj{white-space:wrap;}.css-155tdfw{display:inline-block;overflow:hidden;margin-bottom:calc(var(--chakra-space-4) * -1);}.css-1kjo4sp{display:inline-block;will-change:transform;}Rethinking Product Identity

Rethinking Product Identity