The Business of Fashion
Agenda-setting intelligence, analysis and advice for the global fashion community.
Agenda-setting intelligence, analysis and advice for the global fashion community.
"The Real Cost of Asos's Fast Fashion" (Buzzfeed)
"The heart of the online retailer's global empire is a giant warehouse in the north of England where workers say they are treated like machines to get your order to you wherever you are in the world."
"What If Your Stress Level Was Visible for Everyone to See?" (The New York Times)
"Five models were sent down the catwalk wearing smart glasses and belts that measured their stress levels, processed the biofeedback, then generated visual projection."
"Wal-Mart in Talks to Invest Up to $1 Billion in India's Flipkart" (Bloomberg)
"The Indian retailer would get access to much-needed capital while Wal-Mart would gain exposure to India's expanding e-commerce market and challenge Amazon on more equal footing than the US."
"JD.com Looks to Post-Brexit UK for Cross-Border Fashion Sales" (Jing Daily)
"As foreign luxury brands remain a lucrative target for China's top e-commerce platforms, B2C online retailer JD.com continues its push to attract fashion labels abroad with a current focus on British companies."
"Facebook Launches Marketplace, a Friendlier Craigslist" (TechCrunch)
"Facebook Marketplace lets you browse a relevancy-sorted feed of things to buy from people who live nearby, and quickly list your own stuff for sale."
At The Business of Fashion’s Professional Summit in New York last week, Sona Abaryan, partner and global retail and luxury sector lead at tech-enabled data science firm Ekimetrics, shared how businesses can more effectively leverage AI-driven insights on consumer behaviour to achieve a customer-centric strategic approach.
From customer loyalty types to its pillars of personalisation, SAP Emarsys customer engagement provides more than 1,500 companies with personalised marketing campaigns via AI-powered analytics, including Puma, Aldo and Reformation. BoF learns more.
Before fashion businesses can put artificial intelligence to work or target the right shoppers online, they need good data and a deep understanding of who their customers are and what they want. This case study offers a guide for brands that want to truly know their customer, allowing them to make smarter decisions that serve shoppers and drive results.
The US House of Representatives approved a bill that could ultimately lead to a ban of the app, but its path forward remains far from certain.