---
title: "From Assistants to Agents: How Agentic AI Is Changing Fashion Retail, from Customer Experience to the Back Office"
id: "98425"
type: "resource"
slug: "maxmara-agentic-ai-in-fashion-retail"
published_at: "2026-11-02T13:57:08+00:00"
modified_at: "2026-11-11T14:10:31+00:00"
url: "https://tealium.com/resource/video/maxmara-agentic-ai-in-fashion-retail/"
markdown_url: "https://tealium.com/resource/video/maxmara-agentic-ai-in-fashion-retail.md"
taxonomy_resource_type:
  - "Video"
taxonomy_product:
  - "CloudStream™"
taxonomy_topic:
  - "AI and Machine Learning"
taxonomy_vertical:
  - "Retail"
---

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 Video

# From Assistants to Agents: How Agentic AI Is Changing Fashion Retail, from Customer Experience to the Back Office

## Luca Pelli, IT Manager, Max Mara Fashion Group Gaia Ginevra, Senior Enterprise Account Manager, AWS Matteo Loro, Digital Data & Tech Strategy Manager, Miroglio Marcello Offi, Head of Data & Platform Engineering, Miroglio

AI agents are moving from experimentation into production, transforming business across multiple fronts.

On the customer side, agentic commerce is changing how people discover and buy fashion. Generative AI is opening up new possibilities for personalizing images and video at a scale and cost that would have seemed unimaginable until recently.

Inside the enterprise, agents connected to customer and sales data can condense analyses that once took days into just a few minutes. This is changing not only the speed of decision-making, but also who can access and interrogate data.

Drawing on the experiences of Miroglio and Max Mara across their respective brands, this session goes beyond the promises of AI to explore what is actually working, the data and organizational prerequisites for success, and where the real limitations still lie.

**Watch this panel discussion to learn:**

– How fashion companies are moving AI agents from experimentation into production  
 – How agentic commerce is reshaping fashion discovery and purchasing  
 – What generative AI makes possible for personalized images and video  
 – Which data, technology, and organizational foundations are needed to scale AI successfully  
 – Where the practical limitations of AI still remain

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