Predictive Analytics: Case Studies for Marketing & Retail

Artificial intelligence (AI) can play a part in many marketing tasks and if used skillfully can have a significant impact on revenues and profits. Every action on social media is recorded and AI is well-suited to process this large volume of data. AI can also be used to help with demand forecasting product recommendations and fraud detection. In this course you will investigate significant ways to apply AI in marketing and in retail. Explore the Weibo case study which focuses on data from marketing and advertising posts on social media and the attempts to predict likes comments and shares of each post before it is sent out. Then analyze the applications of market basket analysis (MBA) via case study to determine how to perform customer segmentation using clustering and MBA through association rules mining. Finally discover how to predict out-of-stock events in a store.