How Luxury Brands Are Rebuilding CRM With AI

Kristina Bokova
Ex-LVMH, Dior, Aura Blockchain Consortium · April 2026

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On April 16, at its Capital Markets Day in Florence, Kering announced it was rebuilding its client infrastructure around “agentic AI.” The term appeared in the official press release alongside “cloud-native systems” and “next-generation digital twins.” A luxury group telling investors it is deploying autonomous AI agents across client relationships is new. What it means in practice — and how far the industry has already moved — is worth examining in detail.

Three Phases of CRM in Luxury

CRM in luxury has gone through three phases in the space of a decade.

Phase one was the database. Client records, purchase history, contact details — static information that advisors could look up before an appointment. Most maisons operated here until recently.

Phase two added intelligence. Recommendations, segmentation, predictive models layered on top of the same data. The system suggested actions. Humans decided whether to take them. Kering’s Luce clienteling AI, which lifted average order values by 15–20% across Gucci and other maisons (Kering internal data, reported in BoF), is phase two.

Phase three is what Kering described in Florence: agents. Autonomous systems that take actions on behalf of the brand — scheduling follow-ups, adjusting recommendations based on real-time behaviour, triggering personalised outreach based on signals rather than campaigns — without waiting for a human to initiate each step.

Who Is Already Moving

The shift is already visible across the major groups. Four examples show how different the approaches are — and how far each has gone.

What Kering Announced

The restructure Kering outlined in Florence is structural, not cosmetic.

Two new divisions: Industry (supply chain, production) and Clients (CRM, engagement, everything touching the client relationship). The fact that “Clients” gets its own division — not a sub-function of marketing — signals a shift in how Kering views the client relationship relative to the rest of the business.

Pierre Houles, formerly at Renault, joined as Chief Digital, AI & IT Officer on March 17. He sits on the Executive Committee. This is not a technology hire reporting to operations. It is a CEO-level appointment — digital and AI now sit at the executive table at Kering.

The Client Hub will consolidate proprietary and external data into a unified intelligence platform feeding creation, sales planning, media, activation, and clienteling. The stated goal: inform decisions from creation through to sales planning, media, and clienteling (Kering CMD press release).

The Technology Hub will build on “cloud-native systems, agentic AI, and next-generation digital twins.” One objective is reducing overproduction through AI in the supply chain.

Timeline: RESET by end of 2026, REBUILD by end of 2028, RECLAIM by 2030. The target: more than double the 2025 recurring operating margin.

What the CRM Role Looks Like Now

The shift from phase two to phase three changes what a CRM role requires.

The old CRM Manager ran campaigns. Segmentation, targeting, email cadences, performance reporting. The tools were Salesforce, marketing automation, a CDP if the brand invested in one.

The new role — appearing under titles like Client Intelligence Director, Head of Client Hub, AI CRM Lead — sits at the intersection of four functions: creation, retail, marketing, and supply chain. The AI-powered client platform serves all of them. The person managing it needs to understand how client data flows across the business, what the AI can and cannot automate, and where human judgement still matters most.

AI literacy is becoming a baseline expectation. Not the ability to build models, but the ability to evaluate AI outputs, set constraints, and make decisions about what should and should not be automated in a client relationship. Six months ago, the debate was whether to use AI in CRM at all. Now the question most CRM leads are asking is: what should the AI be allowed to do without checking with a human first?

The people who built the first generation of CRM in luxury — who rolled out clienteling across stores, who understood the politics of data sharing between maisons and group — are the bridge between the CRM systems that exist today and the AI being layered on top. They know what the foundation looks like. They know where it is strong and where it is fragile. That knowledge matters more now than it did six months ago.

Frequently Asked Questions

What is agentic CRM in luxury?

Agentic CRM refers to autonomous AI systems that take actions on behalf of the brand — scheduling client follow-ups, adjusting product recommendations based on real-time behaviour, and triggering personalised outreach — without a human initiating each step. Kering described this approach at its April 2026 Capital Markets Day in Florence, using the term “agentic AI” in its official press release alongside plans for a unified client intelligence platform.

Which luxury brands are leading in AI-powered CRM?

Kering announced a full restructure around agentic AI and a new Client Hub (April 2026). LVMH’s MaIA agent handles over 1.5 million requests per month across 75+ maisons. Tiffany deployed AI-powered client advisor tools. Richemont connected Salesforce CRM to Google Cloud AI across 11 brands in 25 countries. Sephora launched its 45-million-member Beauty Insider programme inside ChatGPT.

Do I need AI skills for CRM roles in luxury?

AI literacy is becoming a baseline expectation — not the ability to build models, but the ability to evaluate AI outputs, set constraints, and decide what should and should not be automated in a client relationship. The role is shifting from campaign management to client intelligence, sitting at the intersection of creation, retail, marketing, and supply chain.