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Applying Machine Learning to Predict Demand Transference
The project will help us design a machine learning model that can determine the demand transference of our customers. The key objective of this project is to design, research, build, and experiment with machine learning models to ensure low product waste and high customer satisfaction. The model will have several impactful applications across the organization.
Faculty Supervisor:
Qiang Sun
Student:
Partner:
Loblaws Inc
Discipline:
Computer science
Sector:
Technology; Agriculture and Food; Other
University:
University of Toronto
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.