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.

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