Connect sourcing, stock availability and delivery with AI
Explore how artificial intelligence supports planning, traceability, production and logistics across the fashion value chain, with practical applications for ecommerce operations.
AI for Sourcing, Production & Supply Chain
From supplier intelligence to smarter logistics and returns.
A practical module for fashion professionals who want to apply AI to sourcing, production planning, supply chain visibility and ecommerce fulfilment.
Module overview
Discover how AI can help fashion teams anticipate demand, monitor supplier risk and improve stock availability. Module 3 connects sourcing and production decisions with distribution, ecommerce fulfilment and returns.
Day 1 explores demand forecasting, production planning, RFID and IoT, supplier intelligence, traceability, Digital Product Passport and quality control. Day 2 focuses on warehouses, shipping, delivery predictions, stock allocation and reverse logistics.
Case studies and a practice lab help you identify an operational flow to improve through automation and AI. Your practical output is an AI opportunity map for supply chain and operations.
Module key facts
Dates
30 October and 6 November 2026
Live online + 12-month replay
Duration
6 teaching hours across two sessions
Session times
15:00–18:00 on both days
Timezone to be confirmed: the supplied programme labels these times CEST.
Language
English – English subtitles. Other languages available on demand.
Practical output
AI opportunity map for supply chain and operations
Enrolment
Contact us for module availability, fees and enrolment details.
Learning outcomes
By the end of this module, you will be able to:
- Evaluate predictive planning: understand how demand forecasting can support production decisions and stock availability.
- Assess supply chain visibility: understand the contribution of RFID, IoT and real-time data.
- Explore sourcing intelligence: identify applications for supplier selection, risk monitoring and traceability.
- Review operational risks: consider Digital Product Passport, sustainability claims and reputational risk.
- Assess production quality use cases: explore computer vision and defect detection.
- Improve fulfilment decisions: evaluate warehouse automation, packing, shipping and delivery predictions.
- Connect inventory and returns: explore stock allocation, inventory optimisation and reverse logistics.
- Map AI opportunities: identify opportunities to improve a logistics or return flow through automation and AI.
AI for Sourcing, Production & Supply Chain Programme
Two sessions connect sourcing and production intelligence with logistics, inventory and returns.
Day 1: Sourcing, Production and Supply Chain Intelligence
30 Oct 2026 — 3 hours
- AI for demand forecasting and production planning
Instructor: Walter Macorig - RFID, IoT and real-time supply chain visibility
Instructor: Walter Macorig - Case study: improving availability and reducing overstock through predictive planning
Instructor: Walter Macorig - Supplier selection, sourcing intelligence and risk monitoring – Digital Product Passport, traceability and compliance
Instructor: Marina Raicevic (Surge) - Traceability
Instructor: Marina Raicevic - Sustainability claims and reputational risk
Instructor: Marina Raicevic - Quality control, defect detection and computer vision in production
Instructor: To be confirmed
Day 2: Logistics, Returns and Inventory Optimisation
06 Nov 2026 — 3 hours
- AI for logistics, distribution and warehouse optimisation
Instructor: Marcello Valerio - Automated warehouses, packing systems, shipping and delivery predictions
Instructor: Marcello Valerio - Returns prediction and reverse logistics
Instructor: Marcello Valerio - Demand & Forecasting; Inventory optimisation and stock allocation
Instructor: Pini Usha (buffers.ai) - Case study: predictive logistics and improved delivery timeframes in ecommerce warehouses
Instructor: Michela Petrinca (Calicantus) - Practice lab: optimise a logistics or return flow using automation and AI
Instructor: Michela Petrinca - Output: AI opportunity map for supply chain and operations
Instructor: Michela Petrinca
Benefits of applying AI to fashion operations
Explore opportunities to improve planning, visibility and fulfilment.
- Improve availability: connect demand signals with production planning and inventory decisions.
- Reduce operational waste: identify overstock, warehouse and returns improvement opportunities.
- Strengthen visibility: connect supplier intelligence, traceability and operational data.
- Prioritise practical use cases: map opportunities to specific supply chain workflows.
Who is this module for?
Designed for fashion and luxury professionals involved in supply chain and ecommerce operations.
- Sourcing, production and supply chain managers.
- Logistics, warehouse and fulfilment professionals.
- Ecommerce managers responsible for delivery and returns.
- Merchandisers, inventory planners and operations leaders.
- Sustainability, innovation and digital transformation professionals.
Why choose this module?
Develop a connected view of AI applications from suppliers to stock availability and delivery.
- Fashion context: connect operational decisions with fashion demand and inventory challenges.
- Industry case studies: explore predictive planning and ecommerce warehouse logistics.
- Practical application: optimise a logistics or return flow in the practice lab.
- A useful output: create an AI opportunity map for supply chain and operations.
Learning experience & methodology
The module combines instructor-led sessions, industry case studies and a practice lab.
- Explore demand forecasting, production planning and supply chain visibility.
- Examine supplier intelligence, traceability and sustainability-related risks.
- Assess warehouse automation, inventory optimisation and reverse logistics.
- Study predictive planning and ecommerce delivery use cases.
- Practise improving a logistics or return flow using automation and AI.
Bring these insights together in an AI opportunity map for supply chain and operations.
Module instructors
Learn from supply chain, forecasting and logistics specialists
The descriptions below reflect each instructor’s scheduled teaching topics. Company names are reproduced from the sponsor column of the supplied programme.
Walter Macorig
Demand forecasting, production planning, RFID, IoT and predictive planning case study. View profile
Marina Raicevic
Supplier selection, sourcing intelligence, risk monitoring, Digital Product Passport, traceability and sustainability claims.
Programme sponsor: Surge
Marcello Valerio
Logistics, warehouse optimisation, packing systems, delivery predictions and reverse logistics. View profile
Pini Usha
Demand forecasting, inventory optimisation and stock allocation.
Programme sponsor: buffers.ai
View profile
Michela Petrinca
Predictive logistics case study, logistics and returns practice lab, and AI opportunity map.
View profile
Programme sponsor: Calicantus
Executive Master in AI for Fashion
Build your skills within the Executive Master
This module forms part of the Executive Master in AI for Fashion. For certification requirements and any certificate available for standalone module participation, please contact Digital Fashion Academy.
Standalone module or full Executive Master
Choose this standalone module to develop focused capability in one area. Choose the full AI for Fashion Executive Master to connect use cases across the value chain and build an organisation-wide adoption roadmap.
Standalone module
Explore AI for sourcing, production, supply chain and ecommerce logistics. Contact us for module availability, fees and enrolment details.
- 6 hours focused on AI for Sourcing, Production & Supply Chain
- Module fee: €490
- 12-month replay access
- Module materials, exercises and certificate
Explore the Executive Master
Build a broader understanding of AI across the fashion value chain with the Executive Master in AI for Fashion.
- 48 hours across 8 modules
- Integrated coverage of the fashion value chain
- Cross-functional portfolio
- Final AI Adoption Roadmap
- Programme fee: €2,150
- Three mentoring sessions
FAQs
When does Module 3 take place?
The sessions are scheduled for 30 October and 6 November 2026, from 15:00 to 18:00. Please confirm the timezone with Digital Fashion Academy: the supplied programme labels these times CEST.
How long is the module?
Six teaching hours across two sessions of three hours each.
Are the sessions recorded?
Yes. Sessions are delivered live online and recordings remain available for 12 months.
Will I practise using AI?
Yes. The programme includes a lab to optimise a logistics or return flow using automation and AI. The practical output is an AI opportunity map for supply chain and operations.
Will I receive a certificate?
Participants who complete the module receive a module-specific certificate of attendance, distinct from the certificate for the full Executive Master.
Does the module cover ecommerce operations?
Yes. Topics include ecommerce warehouse logistics, delivery predictions, inventory optimisation, stock allocation and returns.
Does the module cover payments?
The supplied Module 3 programme focuses on sourcing, production, supply chain, logistics and returns. It does not list a session on payments.
Do I need technical knowledge?
No coding knowledge is required. The module is designed for fashion professionals and business leaders. A working knowledge of English is required.
What is included in the module fee?
Two live online sessions, 12-month recording access, learning materials, practical exercises and a module-specific certificate of attendance. Contact us to confirm fees and availability.
Is mentoring included?
The three individual mentoring sessions are included with the full Executive Master. Contact us for separate mentoring options.
Can I enrol in this module only?
Yes. Contact us using the form below for standalone module enrolment or team participation.
Where can I find the full Master programme?
Visit the Executive Master in AI for Fashion page.
AI for Sourcing, Production & Supply Chain — Contact us
Ask about Module 3, team participation or enrolment in the Executive Master in AI for Fashion.