Soumia Hadjali

Soumia Hadjali

Global Senior Vice-President Client Development & Digital

Louis Vuitton


Soumia Hadjali is a global expert in Customer and Digital transformation and a senior leader at Louis Vuitton, where she oversees Client Development, AI acceleration, Digital, CRM, ecommerce and omnichannel experience. She drives innovation, client growth and data-driven strategies across one of the world’s most iconic luxury brands.

Over her 22-year career, she has transformed customer experiences in telecom, media, hospitality, retail and luxury. She started her career with an entrepreneurship experience launching a telco operator, then took part of the transformation of the media industry, led Accor’s digital acceleration and direct-booking, and reimagined Sephora’s omnichannel strategy delivering a significant growth.

She holds an engineering degree from l'Institut Mines-Telecom and executive credentials from HEC.

Speaking in:

Sunday Jan 11

3:00pm - 3:30pm

Javits North, Level 5, Vusion Theatre

Where craft meets intelligence: How LVMH Is reimagining luxury for the modern consumer

At LVMH, the future of luxury is shaped by the art and science of dreaming, daring, and doing – where human imagination is elevated by intelligence at scale. In this mainstage conversation, LVMH and Maison Louis Vuitton leadership will explore how AI and advanced digital capabilities are being embedded across the group to amplify creativity, empower artisans and store teams, and deepen client relationships. Through real-world examples from Louis Vuitton, speakers will illustrate how a trusted ecosystem of technology and data partners helps turn insight into intuition – supporting everything from personalization and clienteling to demand forecasting and omnichannel excellence. The result is a human-centered model of growth where innovation remains invisible, craftsmanship remains sacred, and intelligence quietly enables the modern luxury experience. This session will explain how LVMH employs a measured, methodical process to scale the implementation of its behind-the-scenes AI capabilities.