Alvanon’s COO on how AI is quietly transforming fashion’s backend—from fixing sizing and reducing returns to slashing waste and empowering smarter, faster product development at every scale.
Marketplace systems have helped brands scale, but scrutiny of how those systems operate is worth watching, particularly for those whose growth depends on mechanics they don’t control.
Hyland’s Global Director of Digital Asset Management Practice on why successful AI adoption is less about hype and more about readiness, realism, and rethinking how we manage content at scale.
With the secondary market for fashion growing fast, a new report points to digital product passports as a way to build more trust and visibility - and more value for brands and retailers - into a model that’s already here.
While fashion has focused on applying AI around the product, there’s a wider horizon of possibility in employing AI to redesign the most fundamental parts of the product itself.
With margins across categories already thin, the latest mercurial wave of tariffs is asking fashion and beauty brands to really evaluate the tools they have to respond. This means downstream optimisation to start, but also exposes the large panel of upstream levers that may need to be pulled in the longer term.
Packaging doesn’t look like tech and it definitely doesn’t act like it. But the decisions behind it - design, testing, approval - are starting to follow software-like frameworks.
Against a backdrop of content oversaturation, platform fatigue, and synthetic experimentation, some fashion brands are beginning to reintroduce imperfection as a way to signal what still feels real.
Bamboo Rose’s Chief Strategy & AI Officer on how retailers are moving from AI as hype to AI as a decision-making engine—transforming the tech stack, automating choices, and redefining the future of merchandising, sourcing, and margin protection.