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 would take actions on behalf of the brand — scheduling follow-ups, adjusting recommendations, triggering outreach — without waiting for a human to initiate each step. No luxury group has fully deployed this yet. Kering is the first to tell investors it is building toward it.

Who Is Already Moving

Different groups are approaching this differently — and some are further along than others.

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.

What comes next is already visible in how companies are rewriting job titles. Kering created a Chief Digital, AI & IT Officer — Pierre Houles, from Renault, with “AI” in the title for the first time at a luxury group. E.l.f. Beauty appointed a Chief Technology and AI Officer. Eurazeo hired a consultant for a digital transformation roadmap — four months later, they made him their Chief Technology and AI Officer full-time. A DTC fashion brand in Barcelona posted three AI-specific roles in one week: an AI Software Crafter, a Customer Care AI Lead, and a Fractional CTO overseeing AI agent architecture. These roles didn’t exist two years ago. The “AI” in the title isn’t decoration — it changes the scope of the job entirely.

AI literacy is likely to become a baseline expectation — not the ability to build models, but the ability to evaluate AI outputs, set constraints, and decide what should and shouldn’t be automated in a client relationship. The debate is shifting from “should we use AI in CRM?” toward a harder question: 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 likely the ones best positioned to guide what comes next. They know what the foundation looks like. They know where it is strong and where it is fragile. As AI gets layered on top, that knowledge will matter more, not less.

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?

Gucci’s 600 client advisors use Salesforce Einstein for AI-powered brand-voice replies across WhatsApp, SMS, and WeChat. Kering’s Luce clienteling app lifted VIP sales 15–20%. Sephora launched 45 million Beauty Insider members inside ChatGPT. LVMH’s MaIA handles over 1.5 million requests per month. Richemont connected Salesforce to Google Cloud AI across 11 brands in 25 countries. Tiffany deployed AI for client advisor profiles.

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.