Use machine learning techniques to estimate historical lost sales and predict future demand of new items
Join Professor David Simchi-Levi from MIT and the Oracle Retail Science Team on September 27th for:
- An introduction to the partnerships between Oracle Retail and highly regarded and prestigious universities such as MIT
- A deep dive on a novel multi-product pricing scheme, including a case study featuring an online fashion retailer, demonstrating how you can leverage data and retail science to optimize pricing decisions on a daily basis
- A review of results from live tests and historical analysis that have shown increases in revenue by 11-13%
For more information or to register, please click here.