Fashion technology solutions are more diverse, more capable, and more accessible than ever. But when there's something for everyone, how do you find the right fit for you?
With brands on the hunt for new ways to engage and delight consumers, two different approaches to product exploration and discovery present the possible faces of the future of fashion retail.
TrusTrace is currently supporting several of the world’s largest fashion brands with data collection for UFLPA compliance, and the Kharon partnership will help strengthen processes around risk identification and validation.
Consumer appetite for sustainable fashion is growing, but it’s not growing quickly enough. Brands and retailers, already wrestling to unpick their supply chains, could now be asked to pick up the yoke of pre-consumer interventions at both the practical and behavioural levels.
At SPINEXPO, SHIMA SEIKI will offer visitors a choice between its "SDS®-ONE APEX4" apparel design system and its "APEXFiz®" subscription-based design software.
From generated models to generated clothing collections, the pace of AI development has fashion, technology figures, and lawmakers on their collective toes, as the world wrestles with the question of what unchained AI might mean, and where the boundaries should lie.
With a newly-released report underlining the scale, speed, and severity of climate change, fashion will yet again be called on to account for its significant environmental footprint. And as the industry begins to reckon with the idea of making less product, technology could become fundamental to delivering a new retail experience.
Combination of Bamboo Rose and Backbone PLM catapults creativity and boosts productivity with design and sourcing technology that helps retailers get products to market fast.
The Interline talks to the CEO of The Edit LDN about why technology is underpinning the secondary market for high end streetwear and sneakers - and why circular resale platforms could be a proving ground for fashion's wider digital transformation.
Will Web3 find itself trapped in a chasm between committed advocates and a largely disinterested mass market? Does the collapse of SVB herald a harder time for startups raising funding? And why does GPT-4 matter so much for enterprise users?
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