Design & Product
AI from first sketch to finished product data.
AI in fashion design: how design teams actually use it
Generative AI has moved into the design studio, but mostly as a fast sketchpad and visualisation tool. Here is where it helps designers, where it falls short and what teams need before they rely on it.
AI in fashion product development: from brief to sample
AI is reshaping the steps between a collection brief and the first approved sample: research, concepts, digital prototypes and range decisions. What works, what data it needs and where people stay in charge.
AI trend forecasting in fashion: how it works, what it sees and its limits
AI tools now scan runway images, social media and sales data to spot emerging styles. Here is what the signals can and cannot tell a design or buying team, and why human forecasters still matter.
AI, 3D and virtual sampling: fewer samples, faster decisions
3D garment simulation has been replacing some physical samples for years. AI now speeds up the steps around it. Here is what virtual sampling can really replace, what data it needs and where physical samples still win.
How does AI improve fit and sizing? From size advice to better patterns
Size and fit problems drive a large share of fashion returns. AI now powers size recommendations, body measurement and virtual fitting rooms, and its data can flow back into patterns and size charts.
How is AI used for colour, prints and materials in fashion?
From AI palette tools to generated prints and AI-assisted fibre research, colour and materials work is changing. A sober look at what is in use, what is still experimental and what data it depends on.
Who owns an AI-generated fashion design? Copyright and IP explained
Courts and copyright offices agree on one point: protection needs a human author. What that means for prints, sketches and garments made with AI tools, and how fashion brands can protect their work.
AI for fashion product data: attributes, tech packs and enrichment at scale
Webshops, marketplaces, wholesale partners and AI shopping assistants all depend on complete product data. How AI extracts attributes, writes descriptions and checks records, and where humans stay in the loop.
How Mango uses AI: generative design, virtual models and Mango Stylist
Mango has built more than 15 machine learning platforms since 2018, from the internal Lisa tool to AI-generated campaign models and the Mango Stylist assistant. What is documented and what is not.
AI for fashion designers: tools, workflows and limits
How fashion designers use generative AI for research, moodboards, colour, prints and early concepts, where it falls short on construction and fit, and what copyright and labelling rules mean.
AI in footwear: fit, size data and faster product creation
In footwear, a few millimetres decide whether a sale sticks. AI helps with foot scanning, size advice and design iteration, but only on top of accurate last and product data.
Generative AI in fashion design: useful tool or distraction?
Image generators can produce mood boards and print ideas in seconds. Whether they improve design depends on where they sit in the process, and on how brands handle originality and rights.
Fundamentals
The business context every AI project in this area depends on.PLM explained: how collections move from sketch to sample
Product lifecycle management is where a collection is designed, specified, costed and sampled. Here is what PLM does, who uses it and what to expect from it.
PIM explained: why product data is a fashion brand's hidden asset
A product information management system holds the content that sells: descriptions, attributes, images and translations. Here is why it matters for every channel, wholesale included.
Product master data: the unglamorous key to digital fashion
Style numbers, colour codes, size scales and identifiers decide whether showrooms, portals, feeds and invoices work. A practical guide to getting product master data right.
Circular design principles for fashion collections
A garment's end of life is largely decided at the design desk. The principles of circular design, how they translate into collection work and the trade-offs designers face.
3D design and digital samples: fewer physical samples, faster decisions
3D garment simulation lets teams review fit, colour and assortment on screen before a single sample is sewn. How it works, where it saves time and material, and where physical samples still win.