Fashion teams can use AI to explore ideas, interpret market signals and create visual content. To turn those possibilities into useful work, teams need clear briefs, professional expertise and a disciplined review process.
Across three lessons in Digital Fashion Academy’s Executive Master in AI for Fashion, Barbara Maiocchi, Zarina Izy, Loris Dedamiani and Ciro Rusciano connected those principles with practical work in trend analysis, fashion design and visual production.
Barbara Maiocchi: connect creative intuition with market evidence
Barbara Maiocchi explained how trend analysis brings together signals from fashion shows, social media, ecommerce assortments and consumer searches. She stressed the importance of preparing the information that supports forecasting:
“You need to structure the data.” — Barbara Maiocchi
She encouraged participants to examine how trends change, assess their stage of development and judge their relevance to a particular brand. An emerging idea may offer differentiation but carry greater uncertainty; a more established direction may suit a different brand or customer.
Barbara also connected trend research with product visualisation. She demonstrated how to move from inspiration towards a small collection, then check its relevance to the market and the brand.
Practical takeaway: Ask what evidence supports a direction, how that evidence evolves and why it matters for your customer. Choose trends that fit your collection and brand.
Zarina Izy: build the image from a structured fashion brief
Zarina Izy demonstrated how fashion knowledge strengthens AI-assisted design. She built prompts from the overall purpose of an image through specific decisions about the model, garment, silhouette, construction, materials, colour, styling and setting.
She highlighted the designer’s contribution with a clear reminder:
“the main thing is our own personal creativity.” — Zarina Izy
Zarina used sketches, fabric images and existing assets to give the tools concrete direction. She demonstrated how to iterate across materials, colourways and styling, and organise those experiments in a connected visual workspace.
She also encouraged designers to develop a recognisable point of view. Technical knowledge, experience and creative judgement help professionals make distinctive choices when they use similar tools.
Practical takeaway: Describe the garment precisely, provide relevant references and evaluate each iteration against your intended design. Make the image communicate your idea accurately.
Loris Dedamiani: turn image generation into a repeatable workflow
Loris Dedamiani explained how teams can turn individual generations into a structured creative process. He connected the brief and references with generation, review and refinement, and identified essential review criteria:
“product fidelity, shape, logo, material and fit, brand consistency.” — Loris Dedamiani
For fashion teams, those criteria give the review process a concrete focus. Check the product’s details as well as the image’s overall visual appeal.
Loris also discussed using language tools to develop technical prompts. Keep the original brief’s intent and fashion terminology clear as you refine the instructions.
Practical takeaway: Define what a successful asset must preserve before generating it, then use those criteria to review the result.
Ciro Rusciano: use the language of photography
Ciro Rusciano approached prompting through three elements: light, composition and mood. He demonstrated how the direction, softness and colour of light change an image, and how framing and viewpoint shape the viewer’s relationship with the subject.
“If you can read the light, you can describe it.” — Ciro Rusciano
He encouraged participants to describe the photograph they wanted to create. Identify which element needs to change, then refine that part of the brief. Precise vocabulary helps you direct the next iteration with a clear purpose.
Practical takeaway: Review the image as a photographer would: examine the lighting, framing, pose and atmosphere, then adjust the brief with a clear intention.
A shared lesson for fashion teams
The three lessons suggest a practical sequence: understand the objective, gather evidence and references, describe the intended result, generate alternatives and review them with professional judgement.
Thank you to Barbara Maiocchi, Zarina Izy, Loris Dedamiani and Ciro Rusciano for sharing your approaches, and to our students for contributing to the discussions and practical exercises.
At Digital Fashion Academy, we help professionals connect new tools with the creative, technical and commercial knowledge they need to use them effectively.