Sander Ardinois

Managing Partner, Ardinois

Sander Ardinois

Fractional CAIO & executive AI advisor. Former VP of AI at H&M Group and Director of AI at Nike EMEA.

$100M+
EBIT portfolio run at Nike EMEA
~100
AI & ML engineers led at H&M Group
10 yrs
leading data & AI in the enterprise

About Sander

Sander Ardinois is a fractional Chief AI Officer (CAIO) and executive AI advisor for fashion, apparel and retail companies, and co-founder and Managing Partner of Ardinois. Sander was previously Vice President of Artificial Intelligence at H&M Group and Director of Artificial Intelligence for Nike in EMEA.

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At H&M Group in Stockholm, Sander led a global AI and machine learning organisation of around 100 engineers and data scientists, with oversight of a wider 400+ person engineering environment. The team took demand forecasting, inventory optimisation, pricing, markdown, recommendations and generative AI from concept into production, and Sander helped shape the enterprise AI strategy presented to the board as part of the Data & AI leadership team.

At Nike, Sander built the EMEA AI function to 11 cross-functional squads and ran forecasting, close-out optimisation, inventory and personalisation as one connected portfolio worth more than $100M in EBIT, while migrating regional AI products onto Nike's global ML platform.

Before retail, Sander built data platforms and teams as Head of Data at Dynasource and data platform architect at LeasePlan Digital, and started out as a data consultant in financial services at EY. Sander holds an MSc in Aerospace Engineering from Delft University of Technology, with a focus on operations research.

Point of view

  1. Fund cross-domain capabilities — forecasting, product understanding, agentic infrastructure — instead of isolated use cases that each rebuild the same fundamentals.
  2. The largest untapped AI value in retail sits in merchandising, buying and S&OP. Employee-productivity tools rarely move the margin.
  3. Inventory, pricing and personalisation are one commercial decision and should be optimised together.
  4. Agentic commerce is a consumer-signal source for the whole value chain, not just a new sales channel.
  5. Time to value is usually held back by ownership, funding and adoption, not by the AI engineering.

How to work with Sander

  • Fractional or interim Chief AI Officer (or CDAO), typically one to three days a week, owning AI strategy, portfolio, operating model and team.
  • Board and CEO advisory on AI investment, prioritisation and transformation.
  • Executive workshops and keynotes on AI in fashion and retail, including agentic commerce.
  • Advisory to AI startups working across the apparel value chain.
  • Available across Europe and North America.

Insights by Sander

AI is landing on the fashion P&L
AI

AI is landing on the fashion P&L

What the H1 2026 reporting of the 100 largest listed fashion groups reveals about where AI is used, and why only 14 can put a number on it.

· 6 min
6 Lessons from Running AI Inside Global Fashion Retailers
AI

6 Lessons from Running AI Inside Global Fashion Retailers

After years leading AI teams at H&M Group and Nike, Sander Ardinois shares six lessons on what actually moves a retail P&L — from why copilots are overvalued to why the real bottle

· 5 min
Data & AI Operating Models: How Enterprises Organise for Value
AI

Data & AI Operating Models: How Enterprises Organise for Value

Most enterprises have access to the same platforms and models, yet business returns diverge sharply. A guide to the five primary Data & AI operating models — from centralised CoE t

· 6 min
Sander on BUILDERS: AI at retail scale is an organisational problem before it is a technical one
Podcast

Sander on BUILDERS: AI at retail scale is an organisational problem before it is a technical one

Sander Ardinois joined BUILDERS, the podcast by Proxify, to discuss how AI is transforming retail at H&M — from data governance and team design to demand forecasting, personalisati

· 2 min
Sander on High on AI: why retail AI succeeds or fails at the integration layer
Podcast

Sander on High on AI: why retail AI succeeds or fails at the integration layer

Sander Ardinois joined the High on AI podcast to discuss AI transformation in retail — where value actually sits, why models lack organisational context, and why foundations must c

· 2 min
Why the semantic layer is a key high-leverage unlock for AI in fashion retail
Semantic Layer

Why the semantic layer is a key high-leverage unlock for AI in fashion retail

AI creates value when it operates inside the context of your business. The semantic layer is how you give models and agents that context, and product data is only one part of it.

· 4 min
How Shein industrialised the fashion value chain, and what every retailer can learn
AI

How Shein industrialised the fashion value chain, and what every retailer can learn

Years ago Inditex revolutionised the fashion operating model. Store managers fed back daily on what was selling and what customers were asking for. Production sat close to home in

· 10 min
The Data and Integration Layer
Semantic Layer

The Data and Integration Layer

Part 3 of AI Transformation: From Ambition to Impact AI initiatives create value at scale when they operate inside the analytical and operational context of the business. Outside o

· 4 min
How to build an AI use case portfolio: a practical framework
AI

How to build an AI use case portfolio: a practical framework

Part 2 of 4 — AI Transformation: From Ambition to Impact One of the questions I get most often is some version of: "What is the AI use case that…

· 5 min
How aligned AI investment builds compounding value.
AI

How aligned AI investment builds compounding value.

Part 1 of 4 — AI Transformation: From Ambition to Impact AI investment usually starts with a burst of energy and a lot of separate budgets. A few years in,…

· 4 min
Agentic Commerce: A Practical Guide for Retailers
AI

Agentic Commerce: A Practical Guide for Retailers

Agentic commerce is gaining traction as AI platforms position themselves to handle end-to-end shopping experiences. OpenAI's recent commerce protocol launch makes the intent clear:

· 3 min
Semantic Layer

Building a Modern Data Landscape in the Age of AI

The enterprise data landscape is evolving rapidly. Many traditional architectures are struggling to keep up, facing challenges with data silos, vendor dependencies, and technical d

· 8 min

Talk to Sander.

30 minutes. No pitch deck. No obligation.