Webcast
Use Machine Learning Techniques to Estimate Historical Lost Sales and Predict Future Demand of New Items
- Learn about the partnerships between Oracle Retail and highly regarded, prestigious universities such as MIT
- Hear a deep dive discussion on a novel multi-product pricing scheme, including a case study featuring an online fashion retailer
- Review the results from live tests and historical analysis that show increases in revenue by 11-13%
David Simchi-Levi is a Professor of Engineering Systems at the Massachusetts Institute of Technology. He is an expert in developing and implementing new business analytics solutions for pricing and procurement strategies, and supply chain management. He has authored several books and published widely in professional journals, and has consulted and collaborated extensively with private and public organizations.