big data
Why Luxury Will Turn to Big Data in 2022
In 2022, the best luxury brands will move into the future and ensure success by fostering their company’s most valuable intangible asset: data. Read MoreAs China’s CNY Spending Habits Change, Alibaba Adapts
Normally, China handles the world’s largest annual human migration during CNY. But this year’s celebrations saw 61-percent fewer journeys than in 2019. Read MoreChina’s New Technologies Are Making Retail More Sustainable
Disruptive technologies in China have lessened the pollution footprint but can they really rescue businesses while helping to save the planet? Read MoreA Look Ahead: Luxury Marketing Trends for 2020
From influencer marketing to personalization, here are seven marketing trends that luxury brands should keep focus on for 2020 in China. Read MoreBig Data: The Vital Tool for Luxury Brands in China
As Chinese luxury shoppers continues to evolve, luxury brands need to stay agile if they intend to maintain prime positioning in this lucrative market. Read MoreBig Data & Artificial Intelligence Explained: A Primer for Retailers
Buzzwords like “big data” and “artificial intelligence” have become commonplace in many of today’s business conversations, but what exactly do they mean for luxury industries? Read MoreAlibaba Expands Portfolio in Bid for ‘New Retail’ Model
China's e-commerce giant is buying more stakes in offline stores in an effort to merge online shopping with a brick-and-mortar experience. Read MoreVillage: How to Combine Tech and Luxury Fashion in China the Smart Way
A recent London panel event helps demystify the ever-evolving relationship between fashion and technology. Read MoreAlibaba’s “New Retail” Model: A Better Omni-Channel Experience for Luxury Consumers?
Alibaba is partnering with brick-and-mortar retailers in an effort to change the retail experience consumers in China are currently familiar with. Read MoreChina’s Retailers Embrace Big Data Revolution
The use of data and analytics is on the rise among retailers in China, who are using methods such as geospatial technology and path-to-purchase tracking. Read More