Shein says it’s able to make affordable apparel by monitoring user behavior to predict customer demand and producing items in small quantities. The Chinese e...

saved by: FoundryBase
updated about 2 months ago
Visibility: Public (all visitors)


ChatGPT notes on this Video

Summary:

The video discusses how the Chinese fast fashion company Shein is able to offer extremely low prices on its clothing by utilizing user behavior data to predict customer demand and producing items in small quantities. This allows them to quickly test and respond to trends, as well as reduce inventory waste. However, the company has faced criticism for using a tax exemption to cut costs, lack of transparency in its supply chain, and potential use of forced labor in China. Despite these challenges, Shein continues to grow and expand globally through strategic partnerships and diversification efforts.

Keywords: Shein, fast fashion, low prices, user behavior data, small quantities

Comments

No comments yet. Be the first to comment!

Related Chunks

Related chunks with this resource

This Video can be found in 4 chunks
Fast Fashion and global competition in the Clothing Business
A collection of articles about the Clothing and Fashion Business
Clothing and Fashion Business - online marketplaces, platforms, e-commerce