Ubiquity: Intelligent Supply Chain Management

The intern will first determine which one of the two modules in the Ubiquity product is more likely to be improved using the machine learning and deep learning methods, and then implement the proposed method or research on other methods. To improve the sensitivity of the pricing and promotion module towards the small price changes, the intern will use deep neural network to improve the existing forecasting model. For the assortment planning module, the intern will evaluate and choose various machine learning algorithms to learn the interaction between items’ inventory and forecast the demand of all assortments in the future. The benefits of both modules including the improvement of the performance of the existing demand forecasting models in the Ubiquity product.

Faculty Supervisor:

Murat Erdogdu

Student:

Partner:

Deloitte Canada

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program: