The world is shifting to sportswear gradually but steadily as the dynamics in global fashion evolve with changing lifestyle, consumers and their expectation from the product they use. The sports...
The world is shifting to sportswear gradually but steadily as the dynamics in global fashion evolve with changing lifestyle, consumers and their expectation from the product they use. The sports...
The fashion industry is eyeing Resale-as-a-Service (RaaS) as a game-changer. This burgeoning model promises both waste reduction and new revenue streams for brands. As the second-hand market grows,...
Sustainability in the apparel industry is a pressing concern, with fast fashion exacerbating waste and pollution, and an alarming 400 per cent surge in clothing purchases over two decades. This...
In colonial Latin America, the textile market was booming, led by Peru, Brazil, and Colombia. These nations were both driving market growth and preserving their cultural heritage through traditional...
Eco innovation in fashion emphasises sustainability through sustainable materials, circular practices, ethical supply chains, and consumer engagement. Brands like Patagonia, Stella McCartney, and The ...
A shift to fluid fashion is visible in everyday shopping, with online searches for ‘genderless’ and ‘gender-neutral’ fashion also increasing year-on-year. In addition to clothing, footwear too has...
The fashion industry generates vast textile waste, which is often sent to landfills. Textile recycling, while promising, faces challenges like effective fibre separation. Diverse recycling...
Fashion industry today is operating through various platforms thereby creating tremendous amount of data each second. This data can provide in-depth insights on customer behaviour and experiences,...
Driven by a combination of technological advancements, changing consumer preferences, and the pressing need for sustainability, the fashion industry is adopting eco-synthetic fibres as an...
Fashion is changing with technology, but many brands are slow to adopt it in sourcing. Key areas include AI-driven demand prediction, cost-efficient data analytics, remote quality assurance, supply...