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AI-Driven Fashion Product Development & Merchandising
This course explores how AI transforms fashion product development and merchandising, from trend forecasting to virtual sampling and pricing intelligence. Participants gain strategic, hands-on skills to use AI as both a creative partner and business accelerator within the luxury fashion industry.
At the end of the course, partecipants will receive an Istituto Marangoni Certificate
This professional program examines how Artificial Intelligence is transforming fashion product development and merchandising, enabling brands to accelerate design cycles, optimize assortments, personalize retail experiences, and strengthen operational agility. Participants will learn to integrate AI across the entire product lifecycle — from trend forecasting and creative direction to virtual sampling, pricing intelligence, and global retail operations.
Through a blend of academic theory, applied workshops, and direct mentorship from industry leaders, the course provides a strategic understanding of how to use AI as both a creative collaborator and a business accelerator in the luxury fashion ecosystem.
This course is designed for:
· Fashion professionals and merchandisers seeking to integrate AI into decision-making and product strategy.
· Product developers, creative directors, and brand managers aiming to lead innovation and efficiency in design pipelines.
· Digital transformation specialists, data strategists, and supply-chain analysts working in luxury or premium fashion.
· Postgraduate Graduates and Managers in fashion management, merchandising, and digital innovation.
Participants should have foundational knowledge of product development or merchandising and an interest in data-driven fashion management.
Upon completion, participants will have developed:
· A comprehensive AI-driven product strategy portfolio, covering ideation, development, and merchandising.
· Technical proficiency in fashion AI platforms such as Heuritech, Edited, Clo3D, and Style3D.
· A merchandising and retail simulation model with predictive capabilities.
· A strategic final project aligning creative direction, virtual sampling, and retail intelligence.
· A professional network of luxury executives, data scientists, and digital innovation experts from major global fashion markets.
By the end of this course, participants will:
1. Apply AI tools to identify, interpret, and forecast fashion trends.
2. Integrate digital and AI workflows into product development and virtual sampling.
3. Design and optimize merchandising strategies through predictive analytics.
4. Evaluate and implement AI technologies in retail and operational systems.
5. Lead transformation projects for sustainable, data-driven luxury fashion management.
Classes will therefore take place on:
Tuesdays from 5:30 pm to 7:30 pm (CET)
Thursdays from 5:30 pm to 7:30 pm (CET)
Saturdays from 4:00 pm to 7:00 pm (CET)
Part of the course will require onsite presence in Milan
from June 29 to July 11, 2026 for Experiential Week in Milan
The course fee does not include accommodation costs related to the stay during the experiential week.
APPLY NOWModule 1 (Weeks 1–4) – From 09 March to 01 April 2026 - Online
AI in Trend Forecasting & Product Conceptualization
Theme: From Market Insight to AI-Supported Ideation
Participants will explore how AI enables the translation of data-driven insights into creative product directions. They will analyze predictive analytics, digital trend forecasting, and visual pattern recognition systems to design AI-informed concepts and market-ready ideas.
Key Topics:
· Predictive analytics and global trend mapping
· AI for consumer behavior and sentiment tracking
· Generative AI for moodboard and collection ideation
· Ethical and cultural considerations in algorithmic creativity
Learning Output:
An AI-curated trend report and conceptual design narrative for a new product capsule.
Module 2 (Weeks 5–8) – From 13 April to 09 May 2026 - Online
AI in Product Development & Virtual Sampling: The New Value Chain
Theme: Digitally Accelerated Creation and Prototyping
This module focuses on AI’s role in streamlining product development through virtual sampling, material intelligence, and digital twin technologies. Participants learn to integrate Clo3D, Style3D, and AI plug-ins to build simulation-ready garments and accessories.
Key Topics:
· AI-assisted material selection and digital fabric testing
· Virtual garment prototyping and 3D sampling
· Supply-chain transparency and predictive costing
· AI sustainability and waste reduction systems
Learning Output:
A digital prototype with full technical and visual documentation for virtual sampling and review.
Module 3 (Weeks 9–12) – From 11 May to 06 June 2026 - Online
AI-Driven Merchandising & Market Strategy
Theme: From Assortment Planning to Pricing Intelligence
This module examines how AI reshapes merchandising, buying, and distribution strategies, introducing participants to predictive pricing, assortment optimization, and consumer segmentation models.
Key Topics:
· AI-powered SKU rationalization and assortment planning
· Predictive pricing and elasticity modeling
· Personalization engines and omni-channel retail design
· Merchandising data visualization and decision dashboards
Learning Output:
A strategic merchandising plan supported by AI-driven analysis, dynamic pricing models, and virtual product simulations.
Experiential Weeks (Weeks 13–14) – From 08 June to 20 June 2026 - Onsite
Experiential Weeks: Industry Immersion
Theme: Global Field Engagement & Luxury Industry Networking
The Experiential Weeks offer direct exposure to global fashion innovation centers such as Paris, London, Milan, and Florence. Participants engage in field visits, masterclasses, and executive roundtables to witness AI’s real-world application in luxury production, merchandising, and retail ecosystems.
Experiential Activities:
· Visits to digital innovation labs, flagship stores, and AI retail labs
· Roundtables with executives from LVMH, Kering, Prada, and digital fashion startups
· Workshops on sustainability and data-driven production cycles
Learning Output:
Field journal and industry insights report connecting theory to practice in AI-driven fashion business models.
Module 5 (Weeks 15–16) – From 22 June to 04 July 2026 - Online
AI for Retail Intelligence & Global Operations
Theme: Predictive Commerce and Smart Retail Systems
The final module brings together all knowledge streams into a global AI retail intelligence framework, focusing on operations, logistics, and customer experience.
Key Topics:
· Predictive inventory and demand optimization
· In-store AI systems, heat mapping, and customer analytics
· Supply-chain resilience and adaptive logistics
· AI ethics and sustainability in retail decision-making
Learning Output:
A final AI-enhanced global operations strategy integrating retail analytics, consumer personalization, and supply-chain intelligence.
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