This thesis looks at how two big online shopping platforms, Shein and Temu, manage and use knowledge to improve their businesses. Shein focuses on fast fashion and uses social media trends and data to quickly release new styles. Temu sells a wide range of products at low prices and keeps users engaged with games and rewards in the app. Both companies use AI and big data to make smart decisions and personalize the shopping experience. However, they also face problems like poor communication between teams, difficulties with data, and resistance to sharing information. The thesis also explores how new technologies and sustainable practices can help solve these issues and make their systems even better.