Webcast
MIT Sloan: Spotting Influential Retail Customers for Targeted Offers with Machine Learning
- Learn about current research using machine learning techniques to determine trend-setting stores and customers
- Identify trendsetters within transaction data to trigger pricing strategies
- Improve demand forecasting with transaction data
- Find out about the impact of social and transaction data on influential customer and store analyses including 'The Network Effect' and Targeted Offers
The Oracle Retail Science team and collaboration partner, Professor Georgia Perakis of MIT Sloan School of Management, are working on a joint research project to predict customer trends using sales transaction data. If you are interested in learning more about the Oracle Retail Science Customer Group & this research please
contact us today.